美股详情

本页面由Tiger Trade Technology Pte. Ltd.提供服务

曼格纳国际

62.96

-0.6950-1.09%

成交量：69.52万

成交额：4,396.03万

市值：176.29亿

市盈率：21.49

高：63.74

开：63.48

低：62.88

收：63.66

52周最高：69.94

52周最低：30.39

股本：2.80亿

流通股本：2.80亿

量比：0.44

换手率：0.25%

股息：1.95

股息率：3.10%

每股收益(TTM):2.93

每股收益(LYR):2.93

净资产收益率：7.13%

总资产收益率：4.22%

市净率：1.41

市盈率(LYR):21.49

数据加载中...

总览公司新闻资讯公告

曼格纳国际：CIBC上调评级至"跑赢大盘"，目标价升至76加元

财报前瞻｜曼格纳国际本季度营收预计增1.75%，机构观点偏向看多

曼格纳国际盘中异动快速上涨5.00%

【智能化】麦格纳与英伟达深化合作，推L2++至L4级自动驾驶量产方案

Ofweek维科网

L2++到L4无缝部署，麦格纳与英伟达合作再升级

麦格纳与英伟达合作将加快整车厂SDV进程｜汽车制造AP

广汽集团携手麦格纳，深化本地生产加速欧洲电动化战略

麦格纳落子芜湖设新厂，加码中国新能源业务布局

麦格纳携手德国头部车企，加速在华部署驾乘监测系统

美股周一早盘曼格纳国际公司（MGA）上涨0.47%小鹏汽车（XPEV）上涨3.25%此前两家公司就欧洲市场达成整车组装合

麦格纳斩获中国车企小鹏汽车的整车制造订单

汽车零部件供应商曼格纳国际任命新首席财务官

{"basename":"/hans","ssrTDKData":{"titleTemplate":"%s - 老虎证券","title":"老虎证券全球投资理财平台| 一站式投资美股新股港股A股","description":"老虎证券助您一站式投资美股，新股，港股，A股等全球金融理财产品。新加坡华人最信赖的在线投资平台，现在加入即享低费用，24/5 无时差炒美股投资理财！","keywords":"老虎证券,老虎证券开户,老虎券商,老虎证券官网,老虎证券app,tigertrade老虎证券,股票,炒股,新加坡股票交易平台,投资,投资理财","social":{"ogDescription":"老虎证券助您一站式投资美股，新股，港股，A股等全球金融理财产品。新加坡华人最信赖的在线投资平台，现在加入即享低费用，24/5 无时差炒美股投资理财！","ogImage":"https://c1.itigergrowtha.com/portal5/static/media/og-logo.be62fbe1.png","ogUrl":"https://www.itiger.com/hans/stock/MGA/news"},"companyName":"老虎证券"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"SGP","license":"TBSG","edition":"fundamental","symbol":"MGA","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"MGA\",,,,,undefined,":{"symbol":"MGA","market":"US","secType":"STK","nameCN":"曼格纳国际","latestPrice":62.96,"timestamp":1772222475896,"preClose":63.655,"halted":0,"volume":695206,"delay":0,"changeRate":-0.01091823108946666,"floatShares":280000000,"shares":280000000,"eps":2.93,"marketStatus":"交易中","change":-0.695,"latestTime":"02-27 15:01:42 EST","open":63.48,"high":63.7399,"low":62.88,"amount":43960256.460549995,"amplitude":0.013509,"askPrice":63.01,"askSize":142,"bidPrice":62.96,"bidSize":300,"shortable":3,"etf":0,"ttmEps":2.93,"tradingStatus":2,"nextMarketStatus":{"tag":"盘后交易","tradingStatus":3,"beginTime":1772226000000},"marketStatusCode":2,"adr":0,"adrRate":0,"exchange":"NYSE","adjPreClose":63.655,"dividendRate":0.030972,"preHourTrading":{"tag":"盘前","latestPrice":63.65,"preClose":63.655,"latestTime":"09:27 EST","volume":161,"amount":10224.928553,"timestamp":1772202461496,"change":-0.005,"changeRate":-0.000079,"amplitude":0.011782},"postHourTrading":{"tag":"盘后","latestPrice":64.7344,"preClose":64.15,"latestTime":"19:18 EST","volume":19125,"amount":1228610.65333,"timestamp":1772151537159,"change":0.5844,"changeRate":0.00911,"amplitude":0.00911},"volumeRatio":0.438368,"impliedVol":0.3387,"impliedVolPercentile":0.3426},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"MGA\",,,,,undefined,":{"symbol":"MGA","floatShares":280000000,"roa":"4.22%","roe":"7.13%","lyrEps":2.93,"volumeRatio":0.438368,"shares":280000000,"dividePrice":1.95,"high":63.7399,"amplitude":0.013509,"preClose":63.655,"low":62.88,"week52Low":30.39,"pbRate":"1.41","psRate":"0.42","week52High":69.94,"institutionHeld":0.6124,"latestPrice":62.96,"committee":0.357466,"eps":2.93,"divideRate":0.030972,"volume":695206,"delay":0,"ttmEps":2.93,"open":63.48,"prevYearClose":53.3,"prevWeekClose":64.92,"prevMonthClose":51.14,"prevQuarterClose":53.3,"fiveDayClose":64.92,"twentyDayClose":52.79,"sixtyDayClose":49.29,"dividendPayoutRate":0.659225573059014,"dividendFrequency":"Q","dividendGrowthYears":10,"dividendGrowthRate":0.02105263157894739,"fiveYearAvgDividendRate":0.033266819846012104},"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/MGA\",params:#limit:5,,,undefined,":[{"date":"2026-02-27","symbol":"MGA","amount":0.495,"announcedDate":"2026-02-13","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2026-02-27","defaultRemindTime":1772202600000,"name":"曼格纳国际","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2026-03-13","payableDate":"2026-02-27","currency":"USD","dateTimestamp":1772168400000,"payDate":"2026-03-13"},{"market":"US","date":"2026-02-13","symbol":"MGA","fiscalQuarterEnding":"2025/12","expectedEps":1.81,"name":null,"time":"盘前","type":"earning","dateTimestamp":1770958800000,"reportTimeType":"pre","actualEps":2.18},{"date":"2025-11-14","symbol":"MGA","amount":0.485,"announcedDate":"2025-10-31","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-11-14","defaultRemindTime":1763130600000,"name":"曼格纳国际","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-11-28","payableDate":"2025-11-14","currency":"USD","dateTimestamp":1763096400000,"payDate":"2025-11-28"},{"market":"US","date":"2025-10-31","symbol":"MGA","fiscalQuarterEnding":"2025/09","expectedEps":1.24,"name":null,"time":"盘前","type":"earning","dateTimestamp":1761883200000,"reportTimeType":"pre","actualEps":1.33},{"date":"2025-08-15","symbol":"MGA","amount":0.485,"announcedDate":"2025-08-01","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-08-15","defaultRemindTime":1755264600000,"name":"曼格纳国际","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-08-29","payableDate":"2025-08-15","currency":"USD","dateTimestamp":1755230400000,"payDate":"2025-08-29"}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"MGA\",market:\"US\",,,undefined,":[{"executeDate":"2016-03-09","recordDate":"2016-03-11","paymentDate":"2016-03-24","value":0.25,"currency":"USD"},{"executeDate":"2016-05-25","recordDate":"2016-05-27","paymentDate":"2016-06-10","value":0.25,"currency":"USD"},{"executeDate":"2016-08-24","recordDate":"2016-08-26","paymentDate":"2016-09-09","value":0.25,"currency":"USD"},{"executeDate":"2016-11-22","recordDate":"2016-11-25","paymentDate":"2016-12-09","value":0.25,"currency":"USD"},{"executeDate":"2017-03-08","recordDate":"2017-03-10","paymentDate":"2017-03-24","value":0.275,"currency":"USD"}],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"MGA\",market:\"US\",delay:false,,,undefined,":{"strongBuy":0,"buy":0.25,"hold":0.65,"sell":0.1,"strongSell":0,"meanLabel":"HOLD","meanPercent":0.65,"analysts":20,"updateTime":1771822800000},"@#url:\"https://hq.skytigris.cn/value_analysis/stock/MGA\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"MGA","date":"2026-02-26","current":21.894198,"percent":0.778045,"low":8.140468,"twenty":11.181911,"median":13.604154,"eighty":23.171782,"high":41.996014,"avg":16.836197,"sd":7.740213,"marketCap":18110062751.72},"quantilePoints":[{"date":"2021-03-05","current":34.897909,"twenty":6.336619,"median":8.390013,"eighty":9.853046,"marketCap":26417717106.61},{"date":"2021-03-12","current":36.747225,"twenty":6.338717,"median":8.399044,"eighty":9.868217,"marketCap":27817649486.65},{"date":"2021-03-19","current":36.693886,"twenty":6.342969,"median":8.406731,"eighty":9.914292,"marketCap":27777271603.87},{"date":"2021-03-26","current":34.571337,"twenty":6.347658,"median":8.421966,"eighty":9.93007,"marketCap":26170502213.17},{"date":"2021-04-01","current":35.567694,"twenty":6.351791,"median":8.432234,"eighty":9.941003,"marketCap":26924744726.02},{"date":"2021-04-09","current":35.504087,"twenty":6.359098,"median":8.438079,"eighty":9.983178,"marketCap":26876593347.83},{"date":"2021-04-16","current":38.024903,"twenty":6.360978,"median":8.448237,"eighty":10.014768,"marketCap":28784851516.34},{"date":"2021-04-23","current":38.68425,"twenty":6.365197,"median":8.453881,"eighty":10.054297,"marketCap":29283977023.98},{"date":"2021-04-30","current":37.443451,"twenty":6.374243,"median":8.458254,"eighty":10.083134,"marketCap":28344692595.3},{"date":"2021-05-07","current":26.711166,"twenty":6.381248,"median":8.474989,"eighty":10.095678,"marketCap":29676104690.61},{"date":"2021-05-14","current":26.220723,"twenty":6.40609,"median":8.488404,"eighty":10.113749,"marketCap":29131223539.47},{"date":"2021-05-21","current":26.454749,"twenty":6.418704,"median":8.502398,"eighty":10.137284,"marketCap":29391225902.01},{"date":"2021-05-28","current":27.271821,"twenty":6.429188,"median":8.517363,"eighty":10.179536,"marketCap":30298993468.33},{"date":"2021-06-04","current":28.100818,"twenty":6.429462,"median":8.520799,"eighty":10.235932,"marketCap":31220009085.35},{"date":"2021-06-11","current":26.667967,"twenty":6.441779,"median":8.532535,"eighty":10.249282,"marketCap":29628111221.32},{"date":"2021-06-18","current":23.952056,"twenty":6.445534,"median":8.542787,"eighty":10.297033,"marketCap":26610734185.44},{"date":"2021-06-25","current":25.608878,"twenty":6.450107,"median":8.559278,"eighty":11.926304,"marketCap":28451463298.08},{"date":"2021-07-02","current":25.25307,"twenty":6.475223,"median":8.573726,"eighty":12.46459,"marketCap":28056160509.95},{"date":"2021-07-09","current":24.557519,"twenty":6.475731,"median":8.57944,"eighty":12.788276,"marketCap":27283403463.36},{"date":"2021-07-16","current":23.121995,"twenty":6.484415,"median":8.586631,"eighty":13.65221,"marketCap":25688536981.11},{"date":"2021-07-23","current":21.944363,"twenty":6.48926,"median":8.595104,"eighty":14.054091,"marketCap":24380187482.02},{"date":"2021-07-30","current":22.698804,"twenty":6.48997,"median":8.609796,"eighty":14.211918,"marketCap":25218371949},{"date":"2021-08-06","current":11.522248,"twenty":6.490714,"median":8.629786,"eighty":14.286735,"marketCap":25141544281.69},{"date":"2021-08-13","current":11.855825,"twenty":6.495855,"median":8.645507,"eighty":14.265288,"marketCap":25869410768.62},{"date":"2021-08-20","current":10.677818,"twenty":6.502157,"median":8.658041,"eighty":14.233011,"marketCap":23298998384.93},{"date":"2021-08-27","current":10.999603,"twenty":6.507662,"median":8.670361,"eighty":14.211918,"marketCap":24001133852.86},{"date":"2021-09-03","current":11.084773,"twenty":6.509798,"median":8.691382,"eighty":14.176035,"marketCap":24186976408.31},{"date":"2021-09-10","current":10.949269,"twenty":6.517712,"median":8.69714,"eighty":14.164211,"marketCap":23891303153.06},{"date":"2021-09-17","current":10.464288,"twenty":6.534386,"median":8.702308,"eighty":14.11237,"marketCap":22833077669.27},{"date":"2021-09-24","current":10.607676,"twenty":6.543406,"median":8.708132,"eighty":14.060435,"marketCap":23145948148.44},{"date":"2021-10-01","current":10.552483,"twenty":6.544779,"median":8.728649,"eighty":13.937275,"marketCap":23025517662.47},{"date":"2021-10-08","current":11.434119,"twenty":6.549793,"median":8.73397,"eighty":13.854682,"marketCap":24949247996.82},{"date":"2021-10-15","current":11.873769,"twenty":6.557096,"median":8.760963,"eighty":13.74597,"marketCap":25908564818.2},{"date":"2021-10-22","current":11.059308,"twenty":6.565869,"median":8.782311,"eighty":13.658525,"marketCap":24131409530.39},{"date":"2021-10-29","current":11.190206,"twenty":6.570596,"median":8.794142,"eighty":13.400523,"marketCap":24417029605.43},{"date":"2021-11-05","current":13.997148,"twenty":6.579431,"median":8.798089,"eighty":13.400523,"marketCap":25026900919.24},{"date":"2021-11-12","current":14.523493,"twenty":6.588032,"median":8.837564,"eighty":13.917035,"marketCap":25968005568.38},{"date":"2021-11-19","current":14.450668,"twenty":6.590098,"median":8.844995,"eighty":14.097671,"marketCap":25837794552.05},{"date":"2021-11-26","current":13.474398,"twenty":6.595829,"median":8.863995,"eighty":14.098353,"marketCap":24092223069.28},{"date":"2021-12-03","current":12.994939,"twenty":6.61329,"median":8.871719,"eighty":14.08957,"marketCap":23234952124.91},{"date":"2021-12-10","current":13.435448,"twenty":6.628553,"median":8.904167,"eighty":14.066778,"marketCap":24022581571.23},{"date":"2021-12-17","current":13.08435,"twenty":6.639205,"median":8.909276,"eighty":14.04479,"marketCap":23394818834.28},{"date":"2021-12-23","current":13.370862,"twenty":6.651106,"median":8.926383,"eighty":14.031712,"marketCap":23907101183.97},{"date":"2021-12-31","current":13.604154,"twenty":6.652737,"median":8.939542,"eighty":13.972675,"marketCap":24324227842.97},{"date":"2022-01-07","current":14.367325,"twenty":6.659575,"median":8.958085,"eighty":14.073122,"marketCap":25688777360.64},{"date":"2022-01-14","current":14.980575,"twenty":6.679137,"median":8.981743,"eighty":14.166695,"marketCap":26785268830.35},{"date":"2022-01-21","current":13.227512,"twenty":6.697298,"median":8.986169,"eighty":14.19746,"marketCap":23650790372.92},{"date":"2022-01-28","current":13.077869,"twenty":6.718163,"median":8.989719,"eighty":14.167937,"marketCap":23383229820.62},{"date":"2022-02-04","current":13.377401,"twenty":6.731528,"median":9.00056,"eighty":14.161727,"marketCap":23918793740.55},{"date":"2022-02-11","current":15.116032,"twenty":6.740374,"median":9.011568,"eighty":14.162969,"marketCap":22885672608.79},{"date":"2022-02-18","current":15.395223,"twenty":6.740374,"median":9.069938,"eighty":14.231236,"marketCap":23308367437.9},{"date":"2022-02-25","current":15.070607,"twenty":6.740374,"median":9.08224,"eighty":14.313465,"marketCap":22816898853.3},{"date":"2022-03-04","current":12.19779,"twenty":6.740374,"median":9.107582,"eighty":14.323106,"marketCap":18467454753.31},{"date":"2022-03-11","current":11.410208,"twenty":6.740374,"median":9.127983,"eighty":14.323106,"marketCap":17275054716.61},{"date":"2022-03-18","current":12.267669,"twenty":6.740374,"median":9.155798,"eighty":14.323106,"marketCap":18573251087.88},{"date":"2022-03-25","current":12.347472,"twenty":6.740374,"median":9.179326,"eighty":14.323106,"marketCap":18694073135.24},{"date":"2022-04-01","current":12.533747,"twenty":6.740374,"median":9.204531,"eighty":14.323106,"marketCap":18976093620.61},{"date":"2022-04-08","current":11.916687,"twenty":6.740374,"median":9.221231,"eighty":14.323106,"marketCap":18041864226.25},{"date":"2022-04-14","current":11.828055,"twenty":6.740374,"median":9.223662,"eighty":14.323106,"marketCap":17907675743.88},{"date":"2022-04-22","current":11.996062,"twenty":6.740374,"median":9.232533,"eighty":14.323106,"marketCap":18162036936.46},{"date":"2022-04-29","current":13.981532,"twenty":6.740374,"median":9.242259,"eighty":14.323106,"marketCap":17658675317.18},{"date":"2022-05-06","current":13.854919,"twenty":6.740374,"median":9.258416,"eighty":14.34104,"marketCap":17498761842.77},{"date":"2022-05-13","current":14.01226,"twenty":6.740374,"median":9.280973,"eighty":14.34104,"marketCap":17697484648.7},{"date":"2022-05-20","current":14.216849,"twenty":6.740374,"median":9.30844,"eighty":14.355778,"marketCap":17955880971.3},{"date":"2022-05-27","current":14.777973,"twenty":6.740374,"median":9.331837,"eighty":14.370989,"marketCap":18664580097.6},{"date":"2022-06-03","current":14.811337,"twenty":6.740374,"median":9.35759,"eighty":14.434382,"marketCap":18706718289.54},{"date":"2022-06-10","current":14.165879,"twenty":6.740374,"median":9.377608,"eighty":14.452533,"marketCap":17891504326.42},{"date":"2022-06-17","current":12.678583,"twenty":6.740374,"median":9.404032,"eighty":14.452533,"marketCap":16013051218.75},{"date":"2022-06-24","current":13.368918,"twenty":6.738163,"median":9.414424,"eighty":14.454398,"marketCap":16884943468.3},{"date":"2022-07-01","current":12.666686,"twenty":6.738163,"median":9.42796,"eighty":14.454398,"marketCap":15998024621.76},{"date":"2022-07-08","current":13.037633,"twenty":6.738163,"median":9.450108,"eighty":14.454398,"marketCap":16466530046.92},{"date":"2022-07-15","current":12.950812,"twenty":6.738163,"median":9.482585,"eighty":14.454398,"marketCap":16356875089.7},{"date":"2022-07-22","current":14.198447,"twenty":6.738163,"median":9.496929,"eighty":14.454398,"marketCap":17932638790.21},{"date":"2022-07-29","current":26.99242,"twenty":6.738163,"median":9.502137,"eighty":14.480078,"marketCap":18435822946.8},{"date":"2022-08-05","current":25.896811,"twenty":6.738163,"median":9.520703,"eighty":14.543886,"marketCap":17687522245.57},{"date":"2022-08-12","current":27.566611,"twenty":6.738163,"median":9.533746,"eighty":14.701066,"marketCap":18827995424.07},{"date":"2022-08-19","current":26.288823,"twenty":6.738163,"median":9.552872,"eighty":14.787434,"marketCap":17955265682.33},{"date":"2022-08-26","current":25.027492,"twenty":6.738163,"median":9.572198,"eighty":14.881411,"marketCap":17093776873.96},{"date":"2022-09-02","current":23.951541,"twenty":6.738163,"median":9.589633,"eighty":14.93578,"marketCap":16358902426.36},{"date":"2022-09-09","current":24.493609,"twenty":6.738163,"median":9.612151,"eighty":15.000253,"marketCap":16729134970.07},{"date":"2022-09-16","current":23.207601,"twenty":6.738163,"median":9.632732,"eighty":15.081866,"marketCap":15850791856.24},{"date":"2022-09-23","current":21.22346,"twenty":6.738163,"median":9.657159,"eighty":15.266848,"marketCap":14495623038.02},{"date":"2022-09-30","current":20.193244,"twenty":6.738163,"median":9.700317,"eighty":15.406638,"marketCap":13791986005.32},{"date":"2022-10-07","current":20.558337,"twenty":6.738163,"median":9.71003,"eighty":15.465196,"marketCap":14041344164.91},{"date":"2022-10-14","current":20.689219,"twenty":6.738163,"median":9.735831,"eighty":15.5489,"marketCap":14130736548.98},{"date":"2022-10-21","current":21.752688,"twenty":6.738163,"median":9.772104,"eighty":15.76649,"marketCap":14857085557.81},{"date":"2022-10-28","current":23.725869,"twenty":6.738163,"median":9.818147,"eighty":20.015242,"marketCap":16204768679.35},{"date":"2022-11-04","current":16.788551,"twenty":6.738163,"median":9.845251,"eighty":20.518016,"marketCap":16133798158.37},{"date":"2022-11-11","current":18.622223,"twenty":6.738163,"median":9.859334,"eighty":20.518016,"marketCap":17895956089.01},{"date":"2022-11-18","current":18.44939,"twenty":6.738163,"median":9.908605,"eighty":20.518016,"marketCap":17729863846.48},{"date":"2022-11-25","current":18.303058,"twenty":6.738163,"median":9.926079,"eighty":20.518016,"marketCap":17589238806.44},{"date":"2022-12-02","current":18.230078,"twenty":6.738163,"median":9.939121,"eighty":20.518016,"marketCap":17519104394.93},{"date":"2022-12-09","current":17.344196,"twenty":6.738163,"median":9.994005,"eighty":20.518016,"marketCap":16667772351.94},{"date":"2022-12-16","current":16.996278,"twenty":6.738163,"median":10.049475,"eighty":20.518016,"marketCap":16333423373.26},{"date":"2022-12-23","current":16.499174,"twenty":6.738163,"median":10.049475,"eighty":20.518016,"marketCap":15855706569.07},{"date":"2022-12-30","current":16.71444,"twenty":6.738163,"median":10.055502,"eighty":20.518016,"marketCap":16062576627.36},{"date":"2023-01-06","current":18.286408,"twenty":6.738163,"median":10.082452,"eighty":20.518016,"marketCap":17573238809.53},{"date":"2023-01-13","current":19.024978,"twenty":6.738163,"median":10.11519,"eighty":20.518016,"marketCap":18283004115.84},{"date":"2023-01-20","current":18.972413,"twenty":6.738163,"median":10.145659,"eighty":20.518016,"marketCap":18232488659.01},{"date":"2023-01-27","current":19.003083,"twenty":6.738163,"median":10.237357,"eighty":20.518016,"marketCap":18261962731.36},{"date":"2023-02-03","current":19.898136,"twenty":6.738163,"median":10.26782,"eighty":20.518016,"marketCap":19122109242.94},{"date":"2023-02-10","current":16.06953,"twenty":6.738163,"median":10.464288,"eighty":20.518016,"marketCap":15442817677.09},{"date":"2023-02-17","current":16.809753,"twenty":6.738163,"median":10.552483,"eighty":20.518016,"marketCap":16154172381.26},{"date":"2023-02-24","current":15.993255,"twenty":6.738163,"median":10.680154,"eighty":20.518016,"marketCap":15369517499.63},{"date":"2023-03-03","current":27.510842,"twenty":6.738163,"median":10.856887,"eighty":21.167516,"marketCap":16286418276.4},{"date":"2023-03-10","current":25.472094,"twenty":6.738163,"median":10.90399,"eighty":21.512827,"marketCap":15079479762.79},{"date":"2023-03-17","current":24.241565,"twenty":6.738163,"median":10.996419,"eighty":21.77014,"marketCap":14351006481.83},{"date":"2023-03-24","current":24.222461,"twenty":6.738163,"median":11.060211,"eighty":22.16401,"marketCap":14339696803.26},{"date":"2023-03-31","current":25.84334,"twenty":6.740374,"median":11.113317,"eighty":22.57703,"marketCap":15299257677.33},{"date":"2023-04-06","current":24.700145,"twenty":6.740374,"median":11.212529,"eighty":22.805818,"marketCap":14622485494.23},{"date":"2023-04-14","current":26.113165,"twenty":6.738163,"median":11.389084,"eighty":23.103526,"marketCap":15458993270.2},{"date":"2023-04-21","current":25.652618,"twenty":6.738163,"median":11.442744,"eighty":23.221992,"marketCap":15186350025.25},{"date":"2023-04-28","current":25.04014,"twenty":6.738163,"median":11.544077,"eighty":23.627634,"marketCap":14823762669.76},{"date":"2023-05-05","current":24.194193,"twenty":6.738163,"median":11.597766,"eighty":23.792073,"marketCap":14322962435.02},{"date":"2023-05-12","current":34.902414,"twenty":6.738163,"median":11.736204,"eighty":23.975534,"marketCap":15252355234.39},{"date":"2023-05-19","current":34.367929,"twenty":6.738163,"median":11.864812,"eighty":24.216468,"marketCap":15018784845.28},{"date":"2023-05-26","current":33.184162,"twenty":6.738163,"median":11.914751,"eighty":24.414965,"marketCap":14501478920.04},{"date":"2023-06-02","current":31.888677,"twenty":6.738163,"median":11.932001,"eighty":24.500581,"marketCap":13935351827.43},{"date":"2023-06-09","current":34.668571,"twenty":6.738163,"median":11.996062,"eighty":24.620505,"marketCap":15150165612.06},{"date":"2023-06-16","current":37.125985,"twenty":6.738163,"median":12.19779,"eighty":24.829592,"marketCap":16224055582.67},{"date":"2023-06-23","current":34.961177,"twenty":6.735951,"median":12.2608,"eighty":24.944467,"marketCap":15278034407.3},{"date":"2023-06-30","current":36.577186,"twenty":6.73374,"median":12.38683,"eighty":25.022526,"marketCap":15984230164.12},{"date":"2023-07-07","current":37.779672,"twenty":6.73374,"median":12.503204,"eighty":25.082607,"marketCap":16509716747.1},{"date":"2023-07-14","current":39.185703,"twenty":6.73374,"median":12.572348,"eighty":25.171068,"marketCap":17124152267.77},{"date":"2023-07-21","current":40.433022,"twenty":6.73374,"median":12.644891,"eighty":25.225778,"marketCap":17669230617.76},{"date":"2023-07-28","current":41.478116,"twenty":6.73374,"median":12.700613,"eighty":25.338892,"marketCap":18125936933.89},{"date":"2023-08-04","current":41.380029,"twenty":6.73374,"median":12.836117,"eighty":25.511629,"marketCap":18083072687},{"date":"2023-08-11","current":18.158018,"twenty":6.73374,"median":12.969152,"eighty":25.511629,"marketCap":16923273243.39},{"date":"2023-08-18","current":16.835256,"twenty":6.73374,"median":13.035188,"eighty":25.511629,"marketCap":15690458432.61},{"date":"2023-08-25","current":17.289993,"twenty":6.73374,"median":13.049353,"eighty":25.511629,"marketCap":16114274075.19},{"date":"2023-09-01","current":18.028949,"twenty":6.73374,"median":13.150255,"eighty":25.511629,"marketCap":16802980350.89},{"date":"2023-09-08","current":17.726187,"twenty":6.73374,"median":13.157669,"eighty":25.511629,"marketCap":16520805947.47},{"date":"2023-09-15","current":17.34722,"twenty":6.73374,"median":13.227512,"eighty":25.511629,"marketCap":16167609130.07},{"date":"2023-09-22","current":16.542332,"twenty":6.73374,"median":13.327992,"eighty":25.511629,"marketCap":15417453339.27},{"date":"2023-09-29","current":16.483784,"twenty":6.73374,"median":13.377401,"eighty":25.511629,"marketCap":15362886648.29},{"date":"2023-10-06","current":16.027576,"twenty":6.73374,"median":13.429244,"eighty":25.511629,"marketCap":14937700783.26},{"date":"2023-10-13","current":16.254265,"twenty":6.73374,"median":13.474398,"eighty":25.511629,"marketCap":15148974905.23},{"date":"2023-10-20","current":15.50462,"twenty":6.73374,"median":13.569425,"eighty":25.511629,"marketCap":14450305744.46},{"date":"2023-10-27","current":15.197547,"twenty":6.726182,"median":13.610076,"eighty":25.529352,"marketCap":14164113690.37},{"date":"2023-11-03","current":15.009288,"twenty":6.726182,"median":13.719711,"eighty":25.529352,"marketCap":13988656279.68},{"date":"2023-11-10","current":14.373602,"twenty":6.726182,"median":13.857183,"eighty":25.529352,"marketCap":14905424780.94},{"date":"2023-11-17","current":15.081856,"twenty":6.726182,"median":13.898871,"eighty":25.529352,"marketCap":15639884956.28},{"date":"2023-11-24","current":14.979609,"twenty":6.726182,"median":13.98934,"eighty":25.529352,"marketCap":15533855040.59},{"date":"2023-12-01","current":14.884697,"twenty":6.732817,"median":14.045161,"eighty":25.529352,"marketCap":15435430939.82},{"date":"2023-12-08","current":15.120053,"twenty":6.824857,"median":14.145774,"eighty":25.525433,"marketCap":15679495360.9},{"date":"2023-12-15","current":16.172186,"twenty":6.845868,"median":14.198447,"eighty":25.525433,"marketCap":16770556906.7},{"date":"2023-12-22","current":16.238753,"twenty":6.870875,"median":14.225887,"eighty":25.525433,"marketCap":16839587222.43},{"date":"2023-12-27","current":16.374067,"twenty":6.889779,"median":14.25007,"eighty":25.525433,"marketCap":16979906970.21},{"date":"2024-01-05","current":15.419971,"twenty":6.924984,"median":14.277871,"eighty":25.537191,"marketCap":15990509992.36},{"date":"2024-01-12","current":15.661242,"twenty":6.966973,"median":14.328421,"eighty":25.537191,"marketCap":16240707983.12},{"date":"2024-01-19","current":14.902092,"twenty":6.981218,"median":14.360368,"eighty":25.541111,"marketCap":15453469715.28},{"date":"2024-01-26","current":15.26981,"twenty":7.024817,"median":14.405821,"eighty":25.537191,"marketCap":15834793496.3},{"date":"2024-02-02","current":15.878354,"twenty":7.024817,"median":14.450534,"eighty":25.537191,"marketCap":16465852698.52},{"date":"2024-02-09","current":16.185222,"twenty":7.046378,"median":14.52065,"eighty":25.537191,"marketCap":16784074865.26},{"date":"2024-02-16","current":13.114056,"twenty":7.094296,"median":14.52065,"eighty":25.537191,"marketCap":15907349619.13},{"date":"2024-02-23","current":12.895411,"twenty":7.109966,"median":14.52065,"eighty":25.537191,"marketCap":15642133550.88},{"date":"2024-03-01","current":13.030289,"twenty":7.113684,"median":14.517807,"eighty":25.533272,"marketCap":15805740850.41},{"date":"2024-03-08","current":12.936102,"twenty":7.134351,"median":14.517807,"eighty":25.533272,"marketCap":15691492153.91},{"date":"2024-03-15","current":12.32874,"twenty":7.444004,"median":14.517807,"eighty":25.533272,"marketCap":14954761475.8},{"date":"2024-03-22","current":13.208009,"twenty":7.563858,"median":14.517807,"eighty":25.533272,"marketCap":16021315359.26},{"date":"2024-03-28","current":12.930713,"twenty":7.660408,"median":14.517807,"eighty":25.533272,"marketCap":15684954489.36},{"date":"2024-04-05","current":12.438736,"twenty":7.746652,"median":14.52065,"eighty":25.537191,"marketCap":15088186618.6},{"date":"2024-04-12","current":12.108623,"twenty":7.882938,"median":14.52065,"eighty":25.537191,"marketCap":14687759307.57},{"date":"2024-04-19","current":11.346318,"twenty":7.957851,"median":14.52065,"eighty":25.537191,"marketCap":13763084293.63},{"date":"2024-04-26","current":11.503562,"twenty":8.148852,"median":14.517807,"eighty":25.533272,"marketCap":13953820311.41},{"date":"2024-05-03","current":11.441107,"twenty":8.651683,"median":14.517807,"eighty":25.533272,"marketCap":13878062909.75},{"date":"2024-05-10","current":13.149279,"twenty":8.791833,"median":14.517807,"eighty":25.533272,"marketCap":13320220124.38},{"date":"2024-05-17","current":13.594903,"twenty":8.863788,"median":14.517807,"eighty":25.533272,"marketCap":13771636590.65},{"date":"2024-05-24","current":12.732629,"twenty":8.956721,"median":14.517807,"eighty":25.533272,"marketCap":12898153037.57},{"date":"2024-05-31","current":12.816723,"twenty":9.124241,"median":14.517807,"eighty":25.533272,"marketCap":12983340411.48},{"date":"2024-06-07","current":12.410381,"twenty":9.157706,"median":14.517807,"eighty":25.533272,"marketCap":12571715489.09},{"date":"2024-06-14","current":11.960716,"twenty":9.219958,"median":14.517807,"eighty":25.533272,"marketCap":12116205028.66},{"date":"2024-06-21","current":11.967182,"twenty":9.25682,"median":14.52065,"eighty":25.537191,"marketCap":12122755583.83},{"date":"2024-06-28","current":11.8832,"twenty":9.322468,"median":14.52065,"eighty":25.537191,"marketCap":12037681582.58},{"date":"2024-07-05","current":11.992984,"twenty":9.428123,"median":14.52065,"eighty":25.537191,"marketCap":12148892826.01},{"date":"2024-07-12","current":12.621841,"twenty":9.471457,"median":14.52065,"eighty":25.537191,"marketCap":12785925329.21},{"date":"2024-07-19","current":12.387154,"twenty":9.522106,"median":14.52065,"eighty":25.537191,"marketCap":12548186971.21},{"date":"2024-07-26","current":12.332638,"twenty":9.539161,"median":14.52065,"eighty":25.537191,"marketCap":12492961716.66},{"date":"2024-08-02","current":11.779786,"twenty":9.568747,"median":14.52065,"eighty":25.537191,"marketCap":11626649342.91},{"date":"2024-08-09","current":11.294873,"twenty":9.807125,"median":14.52065,"eighty":25.537191,"marketCap":11148039478.46},{"date":"2024-08-16","current":11.849849,"twenty":10.475612,"median":14.52065,"eighty":25.537191,"marketCap":11695800687.05},{"date":"2024-08-23","current":12.398166,"twenty":10.620356,"median":14.52065,"eighty":25.537191,"marketCap":12236989383.49},{"date":"2024-08-30","current":12.218662,"twenty":10.735822,"median":14.52065,"eighty":25.537191,"marketCap":12059819095.05},{"date":"2024-09-06","current":11.468519,"twenty":10.860485,"median":14.52065,"eighty":25.537191,"marketCap":11319427923.67},{"date":"2024-09-13","current":11.713936,"twenty":10.920284,"median":14.52065,"eighty":25.537191,"marketCap":11561654650.81},{"date":"2024-09-20","current":12.197343,"twenty":11.002033,"median":14.52065,"eighty":25.537191,"marketCap":12038777486.49},{"date":"2024-09-27","current":12.458671,"twenty":11.077197,"median":14.52065,"eighty":25.537191,"marketCap":12296707627.83},{"date":"2024-10-04","current":11.944438,"twenty":11.121278,"median":14.52065,"eighty":25.537191,"marketCap":11789160465.87},{"date":"2024-10-11","current":12.052154,"twenty":11.239623,"median":14.52065,"eighty":25.537191,"marketCap":11895476069.45},{"date":"2024-10-18","current":12.664841,"twenty":11.32598,"median":14.52065,"eighty":25.537191,"marketCap":12500197574.97},{"date":"2024-10-25","current":12.243682,"twenty":11.350575,"median":14.52065,"eighty":25.537191,"marketCap":12084514247.93},{"date":"2024-11-01","current":11.21246,"twenty":11.400622,"median":14.52065,"eighty":25.537191,"marketCap":12075819391.94},{"date":"2024-11-08","current":11.581846,"twenty":11.412005,"median":14.52065,"eighty":25.537191,"marketCap":12473648386.31},{"date":"2024-11-15","current":11.728415,"twenty":11.44962,"median":14.52065,"eighty":25.537191,"marketCap":12631503273.54},{"date":"2024-11-22","current":12.026036,"twenty":11.470932,"median":14.52065,"eighty":25.537191,"marketCap":12952040694.32},{"date":"2024-11-29","current":12.117173,"twenty":11.504357,"median":14.52065,"eighty":25.537191,"marketCap":13050195172.09},{"date":"2024-12-06","current":12.096077,"twenty":11.545918,"median":14.52065,"eighty":25.537191,"marketCap":13027475209.89},{"date":"2024-12-13","current":11.821488,"twenty":11.582847,"median":14.52065,"eighty":25.537191,"marketCap":12731743214.98},{"date":"2024-12-20","current":11.266047,"twenty":11.596832,"median":14.52065,"eighty":25.537191,"marketCap":12133532576.33},{"date":"2024-12-27","current":11.250971,"twenty":11.596832,"median":14.52065,"eighty":25.537191,"marketCap":12117296301.26},{"date":"2025-01-03","current":10.994133,"twenty":11.596832,"median":14.52065,"eighty":25.537191,"marketCap":11840680924.02},{"date":"2025-01-10","current":10.535783,"twenty":11.597766,"median":14.523493,"eighty":25.541111,"marketCap":11347038485.25},{"date":"2025-01-17","current":10.811959,"twenty":11.597766,"median":14.523493,"eighty":25.541111,"marketCap":11644479986.81},{"date":"2025-01-24","current":10.984274,"twenty":11.597766,"median":14.523493,"eighty":25.541111,"marketCap":11830062967.36},{"date":"2025-01-31","current":10.621733,"twenty":11.597766,"median":14.523493,"eighty":25.541111,"marketCap":11439607129.09},{"date":"2025-02-07","current":10.276037,"twenty":11.597766,"median":14.523493,"eighty":25.541111,"marketCap":11067291409.14},{"date":"2025-02-14","current":10.608134,"twenty":11.597766,"median":14.523493,"eighty":25.541111,"marketCap":10703607752.63},{"date":"2025-02-21","current":10.682755,"twenty":11.597766,"median":14.523493,"eighty":25.541111,"marketCap":10778899857.8},{"date":"2025-02-28","current":10.406661,"twenty":11.597766,"median":14.523493,"eighty":25.541111,"marketCap":10500320878.92},{"date":"2025-03-07","current":10.826108,"twenty":11.606507,"median":14.526791,"eighty":25.554664,"marketCap":10923543124.23},{"date":"2025-03-14","current":10.358237,"twenty":11.606507,"median":14.526791,"eighty":25.554664,"marketCap":10451461247.59},{"date":"2025-03-21","current":10.386355,"twenty":11.606507,"median":14.526791,"eighty":25.554664,"marketCap":10479831692.34},{"date":"2025-03-28","current":9.517306,"twenty":11.606507,"median":14.526791,"eighty":25.554664,"marketCap":9602961264.86},{"date":"2025-04-04","current":9.074437,"twenty":11.606507,"median":14.526791,"eighty":25.554664,"marketCap":9156106699.48},{"date":"2025-04-11","current":8.970738,"twenty":11.597766,"median":14.523493,"eighty":25.541111,"marketCap":9051474762.87},{"date":"2025-04-17","current":8.984893,"twenty":11.597766,"median":14.523493,"eighty":25.541111,"marketCap":9065756443.59},{"date":"2025-04-25","current":9.510111,"twenty":11.606507,"median":14.526791,"eighty":25.554664,"marketCap":9595701996.65},{"date":"2025-05-02","current":8.140468,"twenty":11.606507,"median":14.526791,"eighty":25.554664,"marketCap":9328976643.67},{"date":"2025-05-09","current":8.555169,"twenty":11.594649,"median":14.526791,"eighty":25.554664,"marketCap":9804223308.63},{"date":"2025-05-16","current":9.012327,"twenty":11.561543,"median":14.526791,"eighty":25.554664,"marketCap":10328126585.6},{"date":"2025-05-23","current":8.767364,"twenty":11.509857,"median":14.526791,"eighty":25.554664,"marketCap":10047399561.61},{"date":"2025-05-30","current":8.944131,"twenty":11.483483,"median":14.526791,"eighty":25.554664,"marketCap":10249974253.28},{"date":"2025-06-06","current":8.895812,"twenty":11.445573,"median":14.461384,"eighty":25.554664,"marketCap":10194600816.89},{"date":"2025-06-13","current":9.458536,"twenty":11.411485,"median":14.444432,"eighty":25.554664,"marketCap":10839482266.28},{"date":"2025-06-20","current":9.177561,"twenty":11.391377,"median":14.434781,"eighty":25.568218,"marketCap":10517485535.31},{"date":"2025-06-27","current":9.407997,"twenty":11.344752,"median":14.434781,"eighty":25.568218,"marketCap":10781564646.46},{"date":"2025-07-03","current":10.280209,"twenty":11.327375,"median":14.385643,"eighty":25.568218,"marketCap":11781118995.32},{"date":"2025-07-11","current":10.429964,"twenty":11.286155,"median":14.352753,"eighty":25.568218,"marketCap":11952739677.9},{"date":"2025-07-18","current":10.473825,"twenty":11.255598,"median":14.275322,"eighty":25.568218,"marketCap":12003003004.16},{"date":"2025-07-25","current":10.524252,"twenty":11.203558,"median":14.216849,"eighty":25.568218,"marketCap":12060793399.62},{"date":"2025-08-01","current":10.094957,"twenty":11.140552,"median":14.165879,"eighty":25.568218,"marketCap":11568820836.74},{"date":"2025-08-08","current":9.889412,"twenty":11.113941,"median":14.042573,"eighty":25.568218,"marketCap":11985966565.87},{"date":"2025-08-15","current":10.406789,"twenty":11.113941,"median":14.042573,"eighty":25.568218,"marketCap":12613028275.46},{"date":"2025-08-22","current":10.288859,"twenty":11.113941,"median":14.042573,"eighty":25.568218,"marketCap":12470097120.44},{"date":"2025-08-29","current":10.683792,"twenty":11.113941,"median":14.042573,"eighty":25.568218,"marketCap":12948755813.6},{"date":"2025-09-05","current":10.537219,"twenty":11.119561,"median":14.06944,"eighty":25.581771,"marketCap":12771109717.79},{"date":"2025-09-12","current":10.881487,"twenty":11.113941,"median":14.042573,"eighty":25.568218,"marketCap":13188361700.99},{"date":"2025-09-19","current":10.996787,"twenty":11.113941,"median":14.042573,"eighty":25.568218,"marketCap":13328105305.3},{"date":"2025-09-26","current":10.839608,"twenty":11.113941,"median":14.042573,"eighty":25.568218,"marketCap":13137605049.36},{"date":"2025-10-03","current":11.254835,"twenty":11.121124,"median":14.042573,"eighty":25.568218,"marketCap":13640859637.27},{"date":"2025-10-10","current":10.366019,"twenty":11.139494,"median":14.042573,"eighty":25.568218,"marketCap":12563615026.82},{"date":"2025-10-17","current":10.404573,"twenty":11.139494,"median":14.042573,"eighty":25.568218,"marketCap":12610342626.07},{"date":"2025-10-24","current":10.710559,"twenty":11.139494,"median":14.042573,"eighty":25.568218,"marketCap":12981197467.54},{"date":"2025-10-31","current":10.39075,"twenty":11.139494,"median":14.042573,"eighty":25.568218,"marketCap":12593588336.43},{"date":"2025-11-07","current":13.532595,"twenty":11.181911,"median":14.040353,"eighty":25.529352,"marketCap":13979170551.57},{"date":"2025-11-14","current":13.519185,"twenty":11.181911,"median":13.956849,"eighty":25.357975,"marketCap":13965318608.12},{"date":"2025-11-21","current":12.481659,"twenty":11.181911,"median":13.868545,"eighty":25.237176,"marketCap":12893554337.56},{"date":"2025-11-28","current":13.305363,"twenty":11.181911,"median":13.747661,"eighty":25.18767,"marketCap":13744440520.85},{"date":"2025-12-05","current":13.379211,"twenty":11.181911,"median":13.617725,"eighty":25.11251,"marketCap":13820724719.62},{"date":"2025-12-12","current":14.118107,"twenty":11.181911,"median":13.604154,"eighty":25.026686,"marketCap":14584004373.13},{"date":"2025-12-19","current":14.893313,"twenty":11.181911,"median":13.604154,"eighty":24.929328,"marketCap":15384792384.88},{"date":"2025-12-26","current":14.654329,"twenty":11.181911,"median":13.604154,"eighty":24.829592,"marketCap":15137922471.94},{"date":"2026-01-02","current":14.544512,"twenty":11.181911,"median":13.604154,"eighty":24.656595,"marketCap":15024481171.63},{"date":"2026-01-09","current":15.253582,"twenty":11.181911,"median":13.604154,"eighty":24.520044,"marketCap":15756949831.61},{"date":"2026-01-16","current":15.406222,"twenty":11.181911,"median":13.604154,"eighty":24.414965,"marketCap":15914627313.3},{"date":"2026-01-23","current":14.554005,"twenty":11.181911,"median":13.604154,"eighty":24.230103,"marketCap":15034286915.12},{"date":"2026-01-30","current":14.343543,"twenty":11.181911,"median":13.604154,"eighty":24.031143,"marketCap":14816879428.8},{"date":"2026-02-06","current":14.381694,"twenty":11.181911,"median":13.604154,"eighty":23.83321,"marketCap":14856289673.77},{"date":"2026-02-13","current":15.735891,"twenty":11.181911,"median":13.604154,"eighty":23.711593,"marketCap":16255175342.58},{"date":"2026-02-20","current":22.569148,"twenty":11.181911,"median":13.604154,"eighty":23.437089,"marketCap":18709824108.94},{"date":"2026-02-26","current":21.845673,"twenty":11.181911,"median":13.604154,"eighty":23.171782,"marketCap":18110062751.72}],"updateTime":1772201864884},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"MGA\",pageSize:20,pageCount:1,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"1101871617","title":"曼格纳国际：CIBC上调评级至\"跑赢大盘\"，目标价升至76加元","url":"https://stock-news.laohu8.com/highlight/detail?id=1101871617","media":"美股速递","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1101871617?lang=zh_cn&edition=fundamental","pubTime":"2026-02-18 13:30","pubTimestamp":1771392615,"startTime":"0","endTime":"0","summary":"加拿大帝国商业银行（CIBC）宣布将曼格纳国际（Magna International Inc.）的投资评级从\"中性\"提升至\"跑赢大盘\"。同时，该机构将曼格纳国际的目标股价从56加元大幅上调至76加元，显示出对该公司未来业绩的强劲信心。\n这一评级调整反映了CIBC对曼格纳国际在全球汽车零部件市场领先地位的认可。目标价的大幅提升也预示着机构看好该公司在电动化转型和供应链优化方面的战略布局。随着汽车行业技术变革加速，曼格纳凭借其多元化产品线和国际化运营网络，有望持续获得市场份额。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["MGA","BK4124","BK4511"],"gpt_icon":0},{"id":"1181923409","title":"财报前瞻｜曼格纳国际本季度营收预计增1.75%，机构观点偏向看多","url":"https://stock-news.laohu8.com/highlight/detail?id=1181923409","media":"财报Agent","labels":["earningPreview"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1181923409?lang=zh_cn&edition=fundamental","pubTime":"2026-02-06 10:05","pubTimestamp":1770343536,"startTime":"0","endTime":"0","summary":"摘要曼格纳国际将于2026年02月13日发布新季度财报，市场关注营收与盈利改善的节奏以及核心业务结构优化的成效。市场预测市场一致预期显示，本季度曼格纳国际营收预计为105.26亿美元，同比增长1.75%；调整后每股收益预计为1.79美元，同比增长17.74%；息税前利润预计为7.28亿美元，同比增长16.80%。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":"财报前瞻｜曼格纳国际本季度营收预计增1.75%，机构观点偏向看多","news_tag":"earningPreview","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["MGA"],"gpt_icon":0},{"id":"2609222372","title":"曼格纳国际盘中异动 快速上涨5.00%","url":"https://stock-news.laohu8.com/highlight/detail?id=2609222372","media":"市场透视","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2609222372?lang=zh_cn&edition=fundamental","pubTime":"2026-02-05 04:02","pubTimestamp":1770235337,"startTime":"0","endTime":"0","summary":"北京时间2026年02月05日04时02分，曼格纳国际股票出现波动，股价大幅上涨5.00%。截至发稿，该股报54.02美元/股，成交量217.154万股，换手率0.77%，振幅4.37%。曼格纳国际股票所在的汽车配件行业中，整体涨幅为2.26%。2024 年，麦格纳 428 亿美元的收入中有 48% 来自北美，而欧洲约占 37%，其余来自亚洲。通用汽车是最大的贡献者，占 15.4%。麦格纳成立于 1957 年，拥有超过 170,000 名员工，总部位于安大略省奥罗拉。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN2026020504021797a4e692&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN2026020504021797a4e692&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["BK4124","BK4511","MGA"],"gpt_icon":0},{"id":"2601330054","title":"【智能化】麦格纳与英伟达深化合作，推L2++至L4级自动驾驶量产方案","url":"https://stock-news.laohu8.com/highlight/detail?id=2601330054","media":"Ofweek维科网","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2601330054?lang=zh_cn&edition=fundamental","pubTime":"2026-01-08 14:02","pubTimestamp":1767852142,"startTime":"0","endTime":"0","summary":"1月6日，全球汽车零部件供应商麦格纳与芯片公司英伟达宣布深化战略合作，将共同为整车制造商提供基于英伟达DRIVE Hyperion平台的自动驾驶全流程解决方案，覆盖从系统集成、功能验证到量产部署的全周期。麦格纳电子事业部副总裁苏雷什·博迪表示，此次合作旨在帮助客户缩短高阶自动驾驶系统的开发周期，降低工程复杂度。随着英伟达加速推进L2++辅助驾驶及L4级Robotaxi技术落地，麦格纳的角色正从传统零部件供应商转向自动驾驶系统级服务商。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260108140232a701abc4&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260108140232a701abc4&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["LU0077335932.USD","LU2552382132.HKD","IE00B4YYXB79.USD","LU0787776722.HKD","LU2083900584.USD","LU1935042215.USD","LU1496350502.SGD","LU0444973449.USD","LU1232071149.USD","LU1037948897.HKD","LU1935042488.USD","IE00BYXW3230.USD","LU0124676726.USD","IE00BQXX3D17.EUR","LU2430703251.USD","LU2746668974.SGD","LU1861127337.USD","LU2552382058.USD","LU0719512351.SGD","LU2505996681.GBP","IE0009356076.USD","LU0353189680.USD","LU0061474705.USD","LU2491049909.HKD","LU0097036916.USD","LU1935043023.USD","LU0267386448.USD","LU1989772923.USD","LU2756315664.SGD","LU0080751232.USD","LU0210536198.USD","NVDX","LU0320765059.SGD","IE00BDRTCR15.USD","LU1791710400.SGD","IE0009G5SDU7.USD","LU1244550494.USD","LU0082616367.USD","LU1804176565.USD","LU1934455194.USD","IE00BJTD4V19.USD","LU1366192091.USD","IE00B5949003.HKD","LU2756315318.SGD","LU0234570918.USD","IE00BZ1G4Q59.USD","LU2250418816.HKD","LU2463028550.USD","LU0072462426.USD","IE00B775H168.HKD","LU0786609619.USD","LU2592432038.USD","LU0256863902.USD","LU2242650005.HKD","LU2505996509.AUD","LU0215105999.USD","SGXZ31699556.SGD","LU0203201768.USD","LU2125909593.SGD","SG9999002224.SGD","LU1571399168.USD","LU1066051811.HKD","LU0964807845.USD","LU0210533765.USD","LU1699723380.USD","SGXZ81514606.USD","LU2168564065.EUR","LU0979878070.USD","LU2452424414.USD","SG9999014898.SGD","SGXZ99366536.SGD","LU1435385759.SGD","LU2092937148.SGD","SG9999014559.SGD","IE000YTNTUN2.SGD","LU1066051498.USD","NVDS.UK","LU0942090050.USD","HK0000320264.USD","LU0070217475.USD","BK4608","3NVD.UK","IE00B3M56506.USD","LU2125154935.USD","LU1778281490.HKD","LU2089985449.USD","LU2237438978.USD","LU2087625088.SGD","LU0689472784.USD","LU2108987350.USD","LU1868836914.USD","LU1923622614.USD","LU1791710582.SGD","IE0003U64NQ7.SGD","IE0004445239.USD","LU0957791311.USD","LU0109392836.USD","LU0476273544.USD","LU0057025933.USD","LU1951198990.SGD","LU2065171311.SGD","LU0198837287.USD","LU0079474960.USD","SG9999001424.SGD","NVD2.UK","LU2746668461.USD","LU0347712357.USD","LU1642822529.SGD","LU1989764748.USD","LU2491050071.SGD","SG9999014575.USD","BK4548","BK4612","LU1429558221.USD","LU0316494557.USD","LU1119994496.HKD","LU2211815571.USD","BK4549","LU2458330169.SGD","IE00B1XK9C88.USD","LU0640476718.USD","BK4532","LU1267930490.SGD","LU0345768153.USD","LU2491050154.USD","LU2750360641.GBP","LU2063271972.USD","BK4587","IE00BJJMRY28.SGD","NVDU","LU1989764664.SGD","LU2242649171.HKD","LU2430703095.HKD","LU0557290698.USD","LU1839511570.USD","LU1934455863.HKD","LU0094547139.USD","IE00B1BXHZ80.USD","IE00BN29S564.USD","IE00B19Z9505.USD","LU0109391861.USD","LU2249611893.SGD","SG9999018865.SGD","LU0096364046.USD","LU1935043536.SGD","SG9999015945.SGD","NVDD","LU1923623000.USD","LU2092627202.USD","LU2125154778.USD","LU0274383776.USD","LU1551013342.USD","LU2458330243.SGD","LU1983260115.SGD","LU1868836591.USD","LU1267930730.SGD","LU2213496289.HKD","IE00BFSS7M15.SGD","LU0345769128.USD","LU1629891620.HKD","HK0000306685.HKD","LU0225283273.USD","LU0683600562.USD","LU2360032135.SGD","LU1974910355.USD","LU0238689110.USD","HK0000320223.HKD","LU2361045086.USD","LU2023251221.USD","LU2456880835.USD","LU0965509283.SGD","IE00BK4W5L77.USD","LU2168564149.EUR","LU2361044865.SGD","LU1934455277.USD","LU0265550946.USD","LU2433249047.HKD","SG9999000418.SGD","LU0472753341.HKD","SG9999018857.SGD","IE0034235295.USD","LU0868494617.USD","SG9999015341.SGD","LU2023250504.SGD","LU1720051108.HKD","MGA","IE00BWXC8680.SGD","LU0211327993.USD","LU1989772840.SGD","LU1066051225.USD","IE00B4JS1V06.HKD","BK4527","IE00BJTD4N35.SGD","LU0210528500.USD","LU2322448957.HKD","BK4585","LU1244550221.USD","LU2125909916.SGD","LU1623119135.USD","BK4588","BK4598","LU0353189763.USD","LU1145028129.USD","IE00BJLML261.HKD","LU2272731600.USD","LU0308772762.SGD","LU0345769631.USD","LU0417517546.SGD","LU2168564495.EUR","IE00B3SWFQ91.USD","LU1814569148.SGD","BK4141","BK4614","LU0069063385.USD","NVDY","LU1852331112.SGD","IE00BQXX3F31.USD","IE000ITXATA3.USD","LU0170899867.USD","LU0354030438.USD","SNVD.UK","LU1718418525.SGD","LU1917777945.USD","LU1066053197.SGD","SG9999002232.USD","LU0276348264.USD","LU2168563687.JPY","IE00BFSS8Q28.SGD","LU1923622291.USD","LU2264538146.SGD","NVDA","LU2290526834.HKD","LU2028103732.USD","LU0943347566.SGD","BK4551","LU0965509101.SGD","BK4550","LU0154236417.USD","LU1633808545.USD","LU2896262040.SGD","IE000W1ABFV2.USD","IE00BHPRN162.USD","LU1069344957.HKD","LU0511384066.AUD","LU2403377893.USD","LU0234572021.USD","LU0820562030.AUD","LU1496350171.SGD","LU0061475181.USD","LU0985320562.USD","SG9999014880.SGD","IE0004445015.USD","BK4554","LU0048584097.USD","LU0323591593.USD","LU1721428933.USD","LU1244550577.SGD","IE0001KFT4U8.USD","LU2860962120.EUR","LU0345770308.USD","LU2272731782.SGD","LU2417539215.USD","LU0029864427.USD","BK4503","LU1821325948.USD","LU0266013472.USD","LU2089283258.USD","IE00BQXX3C00.GBP","LU0345770993.USD","LU1035775433.USD","IE00BDCRKT87.USD","LU0158827781.USD","LU2360106780.USD","IE00BMPRXQ63.HKD","BK4579","LU1868836757.USD","SG9999014914.USD","LU0689626769.HKD","IE00B19Z8W00.USD","BK4543","LU1868837136.USD","BK4605","LU2361044949.HKD","IE0004091025.USD","LU0053666078.USD","LU2097344431.USD","LU0957808578.USD","LU2125909247.SGD","LU2286300806.USD","LU1815333072.USD","LU0466842654.USD","LU2326559502.SGD","IE0005OL40V9.USD","IE00BKPKM429.USD","LU1242518857.USD","NVIW.SI","LU1803068979.SGD","LU0348723411.USD","IE00BKVL7J92.USD","LU0823421416.USD","LU0256863811.USD","SG9999017495.SGD","LU0444971666.USD","LU0642271901.SGD","SG9999015952.SGD","2NVD.UK","LU1935042991.SGD","LU2265009873.SGD","LU2462157665.USD","LU1316542783.SGD","SG9999014542.SGD","LU0354030511.USD","LU0289960550.SGD","LU2111349929.HKD","IE00B19Z8X17.USD","LU1548497426.USD","LU0820561909.HKD","LU0823434740.USD","LU1914381329.SGD","LU2381873111.SGD","NVD3.UK","LU1861220033.SGD","IE00BMPRXR70.SGD","LU0965508806.USD","LU2471134952.CNY","LU0390134368.USD","LU0868494708.USD","IE000KEQY171.SGD","LU2023250330.USD","LU0096362180.USD","SGXZ23171101.USD","LU1988902786.USD","LU1323610961.USD","BK4534","LU2087621335.USD","LU0081259029.USD","LU2322448791.USD","LU0861579265.USD","LU0965509010.AUD","LU2420271590.USD","IE00BMPRXN33.USD","LU0823434583.USD","LU1674673691.USD","LU0882574139.USD","LU2125909759.SGD","LU1366333091.USD","LU0128525929.USD","LU0265550359.USD","LU2065169927.USD","LU2247934214.USD","HK0000306701.USD","LU1084165304.USD","LU1116320901.HKD","BK4567","LU0823421333.USD","LU0056508442.USD","LU0175139822.USD","SG9999015978.USD","LU2236285917.USD","IE0034235303.USD","LU0310800379.SGD","LU1116320737.USD","LU2487616109.SGD","BK4581","LU1261432733.SGD","LU1868837300.USD","LU2413666699.HKD","LU2191332357.HKD","LU2552382215.SGD","LU0203202063.USD","LU0494093205.USD","LU1992135399.USD","LU1551013425.SGD","LU0289739343.SGD","LU0289961442.SGD","LU2602419157.SGD","LU2473716301.USD","LU2357125470.USD","LU2271345857.HKD","LU1815336760.USD","LU0158827948.USD","LU0107464264.USD","LU2054465674.USD","LU0211328371.USD","LU0061474960.USD","LU2413666426.HKD","LU0672654240.SGD","IE0034235188.USD","LU2750360997.AUD","LU1280957306.USD","IE00BK4W5M84.HKD","LU2065170008.USD","LU2543165471.USD","LU2506951792.HKD","LU1992135472.HKD","LU2294711713.HKD","LU0187121727.USD","LU1861215975.USD","LU2237957902.USD","LU2065171402.SGD","LU2272731865.HKD","LU0251132253.USD","IE00BKDWB100.SGD","LU2471134796.USD","LU2931357623.SGD","SG9999015358.SGD","LU0127658192.USD","BK4529","BK4533","LU2471134523.USD","LU0345768740.USD","LU0310799852.SGD","LU2430703178.SGD","LU0724617625.USD","IE0004086264.USD","LU1674673428.USD","LU1951200564.SGD","LU0823414551.USD","LU1712237335.SGD","LU0006306889.USD","SG9999015986.USD","LU1720051017.SGD","LU0157215616.USD","NVDS","LU1267930573.SGD","LU0823414478.USD","LU0889565833.HKD","LU1691799644.USD","LU2461242641.AUD","LU2168564222.USD","LU0708995401.HKD","IE00BZ199S13.USD","SG9999004303.SGD","LU1127390331.HKD","LU2097344357.USD","LU1037948541.HKD","LU0708994859.HKD","GB00BDT5M118.USD","LU0342679015.USD","LU2077746001.SGD","LU2357305700.SGD","LU0528227936.USD","LU2089284900.SGD","LU0788109477.HKD","BK4592","LU2106854487.HKD","LU2360107168.USD","LU0106261372.USD","LU2471134879.HKD","IE00BD6J9T35.USD","SGXZ51526630.SGD","LU1064131342.USD","LU2237957811.SGD","IE00BJJMRX11.SGD","LU2244417387.USD","SG9999014567.USD","LU1242518931.SGD","SG9999014906.USD","LU0820561818.USD","IE00B7KXQ091.USD","NVD"],"gpt_icon":1},{"id":"2601840804","title":"L2++到L4无缝部署，麦格纳与英伟达合作再升级","url":"https://stock-news.laohu8.com/highlight/detail?id=2601840804","media":"盖世汽车","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2601840804?lang=zh_cn&edition=fundamental","pubTime":"2026-01-07 09:28","pubTimestamp":1767749280,"startTime":"0","endTime":"0","summary":"1月7日消息，麦格纳将为搭载DRIVE AGX Thor计算平台的英伟达DRIVE AV软件栈提供技术支撑，其服务模块包含电子架构整合、传感器协同及功能安全验证。麦格纳的工程团队将主导系统级联调测试，确保软硬件协同符合功能安全标准。电子事业部副总裁苏雷什·博迪指出，该合作凸显麦格纳在系统工程领域的积累，通过模块化服务帮助客户缩短开发周期。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260107092836a4a55cfd&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260107092836a4a55cfd&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["IE0004091025.USD","LU1037948541.HKD","HK0000320264.USD","LU2756315664.SGD","LU2931357623.SGD","LU2505996509.AUD","LU1914381329.SGD","LU1983260115.SGD","SG9999014906.USD","LU1868836591.USD","IE00BKVL7J92.USD","LU2111349929.HKD","IE00BFSS8Q28.SGD","LU0029864427.USD","LU1119994496.HKD","IE00BFSS7M15.SGD","SG9999000418.SGD","IE0005OL40V9.USD","LU0128525929.USD","LU2125909247.SGD","LU0640476718.USD","BK4585","LU1814569148.SGD","LU0708994859.HKD","LU1974910355.USD","HK0000306701.USD","LU2360032135.SGD","LU0965509283.SGD","LU1037948897.HKD","IE00BKDWB100.SGD","LU0965509101.SGD","SNVD.UK","LU0289960550.SGD","LU2322448791.USD","SG9999015978.USD","IE0003U64NQ7.SGD","LU0256863811.USD","BK4548","NVDS.UK","LU1720051108.HKD","LU2125909916.SGD","LU2237438978.USD","IE00BZ199S13.USD","LU0210533765.USD","SG9999015358.SGD","LU2896262040.SGD","LU0170899867.USD","LU0077335932.USD","LU0823414551.USD","LU1623119135.USD","LU1642822529.SGD","LU2602419157.SGD","LU2458330243.SGD","LU1699723380.USD","SG9999014914.USD","LU2087621335.USD","LU2473716301.USD","LU0053666078.USD","LU0251132253.USD","LU0289739343.SGD","LU1935042991.SGD","LU0476273544.USD","LU2430703251.USD","LU2211815571.USD","NVDU","IE0009G5SDU7.USD","LU0820561909.HKD","LU0823414478.USD","SG9999015945.SGD","LU2065171311.SGD","LU0238689110.USD","IE00BMPRXR70.SGD","BK4567","LU0274383776.USD","LU1429558221.USD","LU2272731865.HKD","BK4141","LU1066051498.USD","IE00BKPKM429.USD","BK4612","LU2361044949.HKD","SG9999001424.SGD","IE00B19Z8W00.USD","LU1992135472.HKD","BK4543","LU1084165304.USD","LU1244550221.USD","LU0124676726.USD","NVIW.SI","LU0234572021.USD","LU2505996681.GBP","NVDX","LU0820562030.AUD","LU1629891620.HKD","LU2463028550.USD","IE0004445239.USD","IE00B3M56506.USD","LU2168564222.USD","LU0353189680.USD","LU0354030511.USD","LU1242518857.USD","NVD2.UK","LU2290526834.HKD","LU1721428933.USD","IE00B1BXHZ80.USD","IE000W1ABFV2.USD","LU1244550494.USD","BK4551","LU2360106780.USD","BK4592","LU1989772923.USD","LU2456880835.USD","LU2746668461.USD","LU2244417387.USD","LU1571399168.USD","LU1496350502.SGD","NVDY","LU0557290698.USD","LU2077746001.SGD","LU2089985449.USD","LU1232071149.USD","SG9999015986.USD","LU1923622291.USD","LU0158827948.USD","LU0787776722.HKD","LU0724617625.USD","SG9999018857.SGD","SG9999014542.SGD","BK4581","IE00BDCRKT87.USD","LU0267386448.USD","LU0861579265.USD","LU1548497426.USD","LU0494093205.USD","LU1868836914.USD","LU1992135399.USD","IE00B4JS1V06.HKD","LU2271345857.HKD","LU2750360641.GBP","LU0006306889.USD","LU2242650005.HKD","IE00BD6J9T35.USD","LU0265550946.USD","IE00BQXX3D17.EUR","LU0107464264.USD","LU0109391861.USD","LU2491050154.USD","IE0004086264.USD","LU2506951792.HKD","IE00B1XK9C88.USD","LU2750360997.AUD","LU2168563687.JPY","LU1435385759.SGD","3NVD.UK","LU1934455277.USD","LU1989764664.SGD","LU2265009873.SGD","LU2089284900.SGD","BK4614","LU1261432733.SGD","LU0957808578.USD","LU0345769631.USD","LU0719512351.SGD","LU0820561818.USD","LU2471134523.USD","LU2462157665.USD","LU0203202063.USD","LU1803068979.SGD","BK4579","LU1066051225.USD","LU2108987350.USD","LU0096362180.USD","SGXZ99366536.SGD","LU1718418525.SGD","LU1989764748.USD","LU0320765059.SGD","SG9999014575.USD","LU1127390331.HKD","LU0061474960.USD","LU2286300806.USD","LU0868494617.USD","LU2420271590.USD","IE00BYXW3230.USD","SG9999014559.SGD","LU2065171402.SGD","LU1951200564.SGD","IE00BJTD4V19.USD","IE0004445015.USD","LU0234570918.USD","LU0642271901.SGD","LU2746668974.SGD","LU0348723411.USD","IE00BK4W5L77.USD","LU0788109477.HKD","LU1280957306.USD","LU2092937148.SGD","LU2430703178.SGD","IE00BJTD4N35.SGD","SG9999002224.SGD","LU2065170008.USD","LU2322448957.HKD","LU0266013472.USD","LU1988902786.USD","LU2357125470.USD","IE00BWXC8680.SGD","LU2452424414.USD","LU2592432038.USD","LU1839511570.USD","LU0210528500.USD","LU0308772762.SGD","LU2023251221.USD","LU2413666426.HKD","LU1066053197.SGD","LU0079474960.USD","LU0528227936.USD","LU2168564065.EUR","LU2756315318.SGD","LU0511384066.AUD","LU2552382058.USD","LU1821325948.USD","LU2357305700.SGD","LU0048584097.USD","LU2092627202.USD","NVDS","LU0225283273.USD","LU1815336760.USD","LU2272731782.SGD","GB00BDT5M118.USD","SGXZ51526630.SGD","IE000YTNTUN2.SGD","LU0823421416.USD","SG9999014898.SGD","IE000ITXATA3.USD","LU1551013342.USD","LU0157215616.USD","LU2213496289.HKD","BK4608","LU2168564495.EUR","IE00BN29S564.USD","LU0289961442.SGD","MGA","LU0265550359.USD","LU2458330169.SGD","LU0080751232.USD","LU2247934214.USD","LU2083900584.USD","LU2249611893.SGD","LU1496350171.SGD","LU2125909593.SGD","2NVD.UK","IE00BHPRN162.USD","LU0187121727.USD","LU0965508806.USD","LU2264538146.SGD","IE00BJJMRX11.SGD","IE00B7KXQ091.USD","LU2430703095.HKD","LU0061475181.USD","LU1366192091.USD","LU1804176565.USD","LU0175139822.USD","LU1145028129.USD","LU0154236417.USD","IE0034235303.USD","SG9999002232.USD","LU1791710582.SGD","IE00B19Z9505.USD","LU0256863902.USD","IE0034235295.USD","LU1861220033.SGD","LU1868837300.USD","IE00BZ1G4Q59.USD","LU0985320562.USD","LU1116320737.USD","LU0347712357.USD","LU0061474705.USD","LU1935043023.USD","LU0198837287.USD","LU0889565833.HKD","LU0106261372.USD","SG9999018865.SGD","IE0034235188.USD","LU1064131342.USD","LU0082616367.USD","LU1778281490.HKD","LU1935042488.USD","LU0823421333.USD","LU0444973449.USD","LU0211327993.USD","LU2168564149.EUR","LU0868494708.USD","BK4533","LU1674673691.USD","IE00B3SWFQ91.USD","LU0823434740.USD","LU2471134952.CNY","LU2417539215.USD","LU0215105999.USD","IE00B19Z8X17.USD","LU0444971666.USD","LU1934455863.HKD","BK4605","BK4532","LU0127658192.USD","IE00BJLML261.HKD","LU1852331112.SGD","LU2381873111.SGD","LU0689626769.HKD","LU0094547139.USD","LU1066051811.HKD","LU0069063385.USD","LU2242649171.HKD","IE00BJJMRY28.SGD","LU0310800379.SGD","LU0964807845.USD","LU2433249047.HKD","LU2361045086.USD","LU1551013425.SGD","LU0210536198.USD","LU2087625088.SGD","LU2552382132.HKD","LU0158827781.USD","SG9999017495.SGD","LU1935042215.USD","IE000KEQY171.SGD","IE00B5949003.HKD","IE00BQXX3F31.USD","LU2294711713.HKD","LU0683600562.USD","IE00BK4W5M84.HKD","BK4534","LU2413666699.HKD","LU0070217475.USD","LU0672654240.SGD","LU2028103732.USD","LU1267930573.SGD","LU2543165471.USD","LU1868837136.USD","SGXZ23171101.USD","LU1791710400.SGD","LU2191332357.HKD","LU0081259029.USD","LU2403377893.USD","IE00B775H168.HKD","LU2063271972.USD","BK4527","LU2125154935.USD","BK4549","BK4587","LU2237957811.SGD","LU0472753341.HKD","IE00BMPRXQ63.HKD","LU0211328371.USD","LU2106854487.HKD","LU2065169927.USD","LU0353189763.USD","LU0056508442.USD","LU2237957902.USD","LU2491049909.HKD","LU0417517546.SGD","LU1242518931.SGD","LU0354030438.USD","LU0466842654.USD","LU0310799852.SGD","LU2326559502.SGD","LU1712237335.SGD","NVD","LU0345770308.USD","LU1934455194.USD","SG9999015952.SGD","LU1244550577.SGD","LU2487616109.SGD","LU0109392836.USD","LU0203201768.USD","SG9999004303.SGD","LU2250418816.HKD","LU2089283258.USD","LU1267930490.SGD","LU0689472784.USD","LU0882574139.USD","SGXZ81514606.USD","IE0001KFT4U8.USD","LU2272731600.USD","LU2552382215.SGD","LU1633808545.USD","LU1861127337.USD","IE00BMPRXN33.USD","LU0345768153.USD","IE00BQXX3C00.GBP","LU0072462426.USD","SG9999014880.SGD","BK4554","LU1267930730.SGD","LU0942090050.USD","LU1923623000.USD","NVDA","LU1868836757.USD","LU0345770993.USD","LU2236285917.USD","HK0000306685.HKD","LU0342679015.USD","LU0345768740.USD","LU0943347566.SGD","LU1935043536.SGD","BK4550","LU0823434583.USD","LU2491050071.SGD","LU1691799644.USD","LU1861215975.USD","LU0323591593.USD","LU1989772840.SGD","HK0000320223.HKD","LU0057025933.USD","LU1035775433.USD","LU1720051017.SGD","LU2054465674.USD","LU2023250330.USD","SGXZ31699556.SGD","LU0390134368.USD","BK4588","IE00B4YYXB79.USD","BK4503","LU2471134879.HKD","LU0708995401.HKD","LU0276348264.USD","LU2360107168.USD","LU0979878070.USD","LU1951198990.SGD","LU1323610961.USD","IE00BDRTCR15.USD","SG9999015341.SGD","IE0009356076.USD","NVD3.UK","LU0096364046.USD","BK4529","LU1116320901.HKD","LU2023250504.SGD","LU2361044865.SGD","LU1069344957.HKD","LU1923622614.USD","NVDD","LU2860962120.EUR","LU1674673428.USD","LU0786609619.USD","LU2097344357.USD","LU0316494557.USD","BK4598","LU2125909759.SGD","LU0957791311.USD","LU2125154778.USD","LU0965509010.AUD","LU1917777945.USD","LU1316542783.SGD","LU2097344431.USD","LU0345769128.USD","SG9999014567.USD","LU0097036916.USD","LU2471134796.USD","LU2461242641.AUD","LU1366333091.USD","LU1815333072.USD"],"gpt_icon":0},{"id":"2601762838","title":"麦格纳与英伟达合作将加快整车厂SDV进程｜汽车制造AP","url":"https://stock-news.laohu8.com/highlight/detail?id=2601762838","media":"汽车制造AP","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2601762838?lang=zh_cn&edition=fundamental","pubTime":"2026-01-05 21:00","pubTimestamp":1767618038,"startTime":"0","endTime":"0","summary":"▲麦格纳与英伟达的合作，旨在助力整车厂加快软件定义汽车的进程。图片：麦格纳据供应商2026年1月5日消息，麦格纳今日宣布扩大与英伟达的战略合作，为整车厂基于英伟达DRIVE Hyperion平台的项目落地提供支持。麦格纳与英伟达将持续深化合作，赋能未来汽车平台迭代，推动汽车技术创新升级。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260105232535a49f8d86&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260105232535a49f8d86&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["LU1778281490.HKD","IE0009G5SDU7.USD","LU2290526834.HKD","IE0034235295.USD","LU1244550577.SGD","LU0985320562.USD","LU0957808578.USD","NVDY","LU0109392836.USD","SG9999014914.USD","LU2237957811.SGD","LU0823414478.USD","LU0310800379.SGD","LU0053666078.USD","SG9999014559.SGD","LU0265550359.USD","LU1951200564.SGD","LU1868836757.USD","LU2097344431.USD","BK4529","SG9999014542.SGD","LU0320765059.SGD","LU0689472784.USD","LU2168564495.EUR","IE00B775H168.HKD","BK4543","IE0003U64NQ7.SGD","LU0444971666.USD","LU2065171311.SGD","SG9999001424.SGD","LU0308772762.SGD","LU2125909916.SGD","LU2487616109.SGD","LU1989764664.SGD","LU0882574139.USD","LU2361044865.SGD","LU2750360997.AUD","2NVD.UK","LU0957791311.USD","IE00B1BXHZ80.USD","IE0004445239.USD","LU1366192091.USD","IE00B7KXQ091.USD","LU2458330169.SGD","LU0215105999.USD","LU0820562030.AUD","NVDU","NVDX","LU2433249047.HKD","LU1232071149.USD","LU2505996681.GBP","LU0267386448.USD","LU1923623000.USD","NVDA","LU0642271901.SGD","LU2357125470.USD","LU1861220033.SGD","LU2381873111.SGD","IE00BZ1G4Q59.USD","SG9999018865.SGD","LU1037948541.HKD","LU1035775433.USD","SNVD.UK","LU2247934214.USD","LU2417539215.USD","SG9999014567.USD","IE00BQXX3F31.USD","LU0965509283.SGD","LU0354030438.USD","LU1037948897.HKD","LU1244550494.USD","LU1551013425.SGD","LU0689626769.HKD","LU0347712357.USD","BK4554","LU0069063385.USD","LU2242650005.HKD","LU0672654240.SGD","IE00BJJMRY28.SGD","LU2471134523.USD","BK4585","IE000KEQY171.SGD","IE0004091025.USD","LU1917777945.USD","IE00BMPRXQ63.HKD","IE00B4JS1V06.HKD","LU2023250504.SGD","LU2077746001.SGD","SG9999015358.SGD","IE00BDCRKT87.USD","LU0942090050.USD","LU1791710400.SGD","LU1127390331.HKD","LU0225283273.USD","MGA","HK0000320223.HKD","NVD3.UK","LU1242518857.USD","LU2505996509.AUD","BK4503","SG9999018857.SGD","LU1069344957.HKD","LU2322448791.USD","SG9999015978.USD","IE00B3SWFQ91.USD","LU2413666699.HKD","LU2471134879.HKD","LU1244550221.USD","SG9999014906.USD","LU1642822529.SGD","LU0158827948.USD","IE00B3M56506.USD","BK4567","LU1821325948.USD","LU0211327993.USD","LU2065169927.USD","LU0511384066.AUD","LU2360106780.USD","BK4141","IE00BFSS8Q28.SGD","LU1989764748.USD","NVDS.UK","IE00BK4W5L77.USD","LU2491050154.USD","LU2111349929.HKD","LU0096362180.USD","LU0048584097.USD","SG9999017495.SGD","BK4592","LU0289739343.SGD","LU1084165304.USD","LU0276348264.USD","BK4588","LU0198837287.USD","LU1868836591.USD","LU1623119135.USD","LU0289961442.SGD","LU2491049909.HKD","SG9999004303.SGD","LU1551013342.USD","LU2896262040.SGD","LU0345768740.USD","LU1791710582.SGD","LU2860962120.EUR","LU0056508442.USD","LU1803068979.SGD","LU1992135399.USD","LU0238689110.USD","LU1116320737.USD","LU2092937148.SGD","LU0256863902.USD","LU2237438978.USD","LU1951198990.SGD","LU0823414551.USD","LU1699723380.USD","LU0072462426.USD","LU1983260115.SGD","LU2462157665.USD","SG9999015945.SGD","LU0889565833.HKD","LU1323610961.USD","LU1267930490.SGD","LU1988902786.USD","LU2083900584.USD","NVIW.SI","LU1989772923.USD","LU2403377893.USD","IE00BJJMRX11.SGD","LU2491050071.SGD","LU0187121727.USD","NVD","LU1633808545.USD","IE0034235188.USD","LU1934455863.HKD","BK4533","LU0203201768.USD","LU1868836914.USD","LU1923622291.USD","LU0965508806.USD","LU2089985449.USD","LU2272731865.HKD","LU0265550946.USD","LU1718418525.SGD","BK4527","LU2191332357.HKD","IE0034235303.USD","LU2931357623.SGD","BK4581","IE00B19Z8W00.USD","NVDS","LU0466842654.USD","LU1366333091.USD","SG9999014898.SGD","SGXZ31699556.SGD","LU0557290698.USD","LU0964807845.USD","LU1868837300.USD","LU0444973449.USD","IE00BJTD4V19.USD","LU0210528500.USD","LU2360032135.SGD","LU2471134796.USD","LU2065170008.USD","IE00BMPRXR70.SGD","LU2602419157.SGD","LU2326559502.SGD","LU2168563687.JPY","LU2360107168.USD","LU1280957306.USD","LU2413666426.HKD","LU1721428933.USD","SGXZ81514606.USD","LU2473716301.USD","LU2125154935.USD","LU0234572021.USD","LU0965509101.SGD","IE00BFSS7M15.SGD","LU0310799852.SGD","LU2092627202.USD","LU2168564149.EUR","LU2286300806.USD","LU2125154778.USD","BK4532","LU1066051225.USD","LU2244417387.USD","LU2272731782.SGD","IE0004086264.USD","LU2125909247.SGD","LU2452424414.USD","LU0170899867.USD","IE00BHPRN162.USD","BK4551","LU2506951792.HKD","LU0061474960.USD","LU1429558221.USD","LU1571399168.USD","LU1119994496.HKD","LU0106261372.USD","LU2054465674.USD","IE00B1XK9C88.USD","LU2211815571.USD","LU0210536198.USD","SG9999015952.SGD","LU0788109477.HKD","LU1720051017.SGD","LU0823421416.USD","LU0353189763.USD","3NVD.UK","LU1914381329.SGD","LU0097036916.USD","LU1261432733.SGD","LU1496350502.SGD","LU0787776722.HKD","LU2168564222.USD","LU0079474960.USD","LU1989772840.SGD","LU2236285917.USD","LU1629891620.HKD","LU0708994859.HKD","LU0683600562.USD","LU1861127337.USD","LU0256863811.USD","LU0234570918.USD","LU0786609619.USD","LU0274383776.USD","LU2168564065.EUR","BK4608","LU2420271590.USD","IE00BKVL7J92.USD","LU0070217475.USD","LU2756315664.SGD","LU0979878070.USD","IE000W1ABFV2.USD","LU2023251221.USD","LU1974910355.USD","SG9999002232.USD","HK0000320264.USD","LU0323591593.USD","IE0005OL40V9.USD","LU2264538146.SGD","LU1934455277.USD","LU2272731600.USD","LU1066051811.HKD","LU0965509010.AUD","IE00BK4W5M84.HKD","IE00BJLML261.HKD","LU2089283258.USD","LU0345769631.USD","LU1116320901.HKD","LU1923622614.USD","LU2087625088.SGD","LU0077335932.USD","LU0353189680.USD","LU1496350171.SGD","LU2108987350.USD","LU2746668461.USD","BK4548","BK4587","LU0823434583.USD","LU2471134952.CNY","LU1992135472.HKD","IE00BZ199S13.USD","HK0000306685.HKD","LU1934455194.USD","LU0390134368.USD","LU2461242641.AUD","IE0004445015.USD","LU2265009873.SGD","IE00BD6J9T35.USD","LU2750360641.GBP","LU2125909759.SGD","LU2592432038.USD","LU2430703251.USD","LU2065171402.SGD","LU0094547139.USD","LU0528227936.USD","LU0820561909.HKD","LU1935042215.USD","IE000ITXATA3.USD","LU0266013472.USD","LU0640476718.USD","LU0342679015.USD","LU1720051108.HKD","LU1712237335.SGD","LU2458330243.SGD","LU2463028550.USD","BK4605","LU0107464264.USD","IE00BKDWB100.SGD","LU1316542783.SGD","LU0345768153.USD","LU2250418816.HKD","LU1691799644.USD","SGXZ51526630.SGD","LU0823434740.USD","IE00BYXW3230.USD","IE00BWXC8680.SGD","LU0175139822.USD","LU1935043536.SGD","IE00BJTD4N35.SGD","LU1815333072.USD","IE00B19Z8X17.USD","SGXZ99366536.SGD","LU0348723411.USD","IE000YTNTUN2.SGD","LU1064131342.USD","LU0203202063.USD","LU2023250330.USD","LU0061475181.USD","LU0210533765.USD","LU1804176565.USD","LU0096364046.USD","LU0868494708.USD","BK4579","SG9999002224.SGD","LU0154236417.USD","SG9999015986.USD","LU1868837136.USD","LU2430703178.SGD","BK4549","LU1861215975.USD","LU2746668974.SGD","LU2087621335.USD","BK4550","LU0494093205.USD","LU0289960550.SGD","LU2089284900.SGD","IE00BN29S564.USD","LU2756315318.SGD","LU0158827781.USD","LU2361044949.HKD","LU0128525929.USD","NVD2.UK","IE00B19Z9505.USD","LU0006306889.USD","GB00BDT5M118.USD","LU1674673691.USD","LU1814569148.SGD","LU1267930573.SGD","BK4598","LU0943347566.SGD","LU1242518931.SGD","BK4612","LU0316494557.USD","LU0354030511.USD","LU0868494617.USD","HK0000306701.USD","LU0708995401.HKD","LU0082616367.USD","LU2361045086.USD","LU0080751232.USD","LU1839511570.USD","LU1935042991.SGD","IE00BDRTCR15.USD","IE00B5949003.HKD","LU1066053197.SGD","LU0124676726.USD","LU2294711713.HKD","LU0823421333.USD","LU0057025933.USD","LU2237957902.USD","IE00B4YYXB79.USD","IE00BKPKM429.USD","IE00BQXX3D17.EUR","LU0029864427.USD","LU2357305700.SGD","BK4534","LU2271345857.HKD","IE0001KFT4U8.USD","BK4614","LU1066051498.USD","SG9999015341.SGD","LU0109391861.USD","LU2125909593.SGD","LU0211328371.USD","LU0081259029.USD","NVDD","SG9999014575.USD","LU0820561818.USD","IE00BMPRXN33.USD","LU1935043023.USD","LU1548497426.USD","LU2552382058.USD","LU0157215616.USD","LU0345770308.USD","LU2063271972.USD","LU1145028129.USD","LU1935042488.USD","LU2097344357.USD","LU2242649171.HKD","LU2543165471.USD","LU2552382132.HKD","LU1435385759.SGD","LU1852331112.SGD","LU0251132253.USD","LU1267930730.SGD","LU2213496289.HKD","LU2322448957.HKD","LU0472753341.HKD","LU2249611893.SGD","LU0345770993.USD","LU2106854487.HKD","SGXZ23171101.USD","SG9999014880.SGD","LU1815336760.USD","LU2028103732.USD","LU0417517546.SGD","LU2430703095.HKD","LU0127658192.USD","LU0476273544.USD","IE0009356076.USD","LU0061474705.USD","IE00BQXX3C00.GBP","LU2456880835.USD","LU0861579265.USD","LU0719512351.SGD","SG9999000418.SGD","LU2552382215.SGD","LU0345769128.USD","LU0724617625.USD","LU1674673428.USD"],"gpt_icon":1},{"id":"2585711441","title":"广汽集团携手麦格纳，深化本地生产加速欧洲电动化战略","url":"https://stock-news.laohu8.com/highlight/detail?id=2585711441","media":"美通社","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2585711441?lang=zh_cn&edition=fundamental","pubTime":"2025-11-21 10:00","pubTimestamp":1763690400,"startTime":"0","endTime":"0","summary":"广州和加拿大安大略省奥罗拉市2025年11月21日 /美通社/ -- 广汽集团与麦格纳今日联合宣布了双方的整车组装合作项目，旨在加速电动出行的战略，扩大在欧洲市场电动汽车的本地化生产规模。目前，广汽集团的电动SUV车型AION V已在麦格纳的格拉茨工厂启动量产。广汽集团与麦格纳强强联手，通过整合电动化技术、设计能力及制造专长，共塑未来出行新生态。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://wwwold.prnasia.com/story/archive/4829943_ZH29943_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["02238","IE0031619046.USD","BK1539","BK4124","IE00B19Z4B17.USD","MG","IE00B66KJ199.SGD","BK4123","BK1119","BK4511","MGA","IE00B7SZL793.SGD"],"gpt_icon":0},{"id":"2584299439","title":"麦格纳落子芜湖设新厂，加码中国新能源业务布局","url":"https://stock-news.laohu8.com/highlight/detail?id=2584299439","media":"美通社","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2584299439?lang=zh_cn&edition=fundamental","pubTime":"2025-11-19 12:00","pubTimestamp":1763524800,"startTime":"0","endTime":"0","summary":"麦格纳落子芜湖的新布局，不仅精准响应了市场需求，也进一步巩固了公司在全球动力系统的创新者和领军者的地位。深耕中国20余载，麦格纳在中国市场持续加速发展。麦格纳是全球顶尖的汽车零部件供应商之一，更是行业关键市场中汽车制造商倍加信赖的合作伙伴。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://wwwold.prnasia.com/story/archive/4827437_ZH27437_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["BK4511","BK4124","MGA"],"gpt_icon":0},{"id":"2579073909","title":"麦格纳携手德国头部车企，加速在华部署驾乘监测系统","url":"https://stock-news.laohu8.com/highlight/detail?id=2579073909","media":"美通社","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2579073909?lang=zh_cn&edition=fundamental","pubTime":"2025-10-29 19:30","pubTimestamp":1761737400,"startTime":"0","endTime":"0","summary":"麦格纳与一家德国头部车企合作，在中国推出了DMS。麦格纳的驾驶员监测系统可完全集成于车内后视镜中，该系统借助先进的摄像头与传感器系统，对驾驶员的注意力状态及行为进行实时监测。该项目是麦格纳迄今为止获得的最大驾驶员监测系统订单之一，预计年产量将达到数百万套。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://wwwold.prnasia.com/story/archive/4810012_ZH10012_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["BK4124","BK4123","MGA","IE00B66KJ199.SGD","BK4511","IE0031619046.USD","SOP","MG","BK4009","DMS","IE00B19Z4B17.USD","IE00B7SZL793.SGD"],"gpt_icon":0},{"id":"2567221117","title":"美股周一早盘曼格纳国际公司（MGA）上涨0.47%小鹏汽车（XPEV）上涨3.25%此前两家公司就欧洲市场达成整车组装合","url":"https://stock-news.laohu8.com/highlight/detail?id=2567221117","media":"智通财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2567221117?lang=zh_cn&edition=fundamental","pubTime":"2025-09-15 21:58","pubTimestamp":1757944733,"startTime":"0","endTime":"0","summary":null,"market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"12ee938d9f679435562713ec52dab534","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.zhitongcaijing.com/immediately.html?type=usstock","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"live_zhitongcaijing","symbols":["09868","BK1575","BK1587","BK4124","BK1588","BK4555","BK1119","BK4526","BK4551","BK1610","EVS.SI","XPEV","BK1539","BK4511","MGA","LU0593848301.USD","BK4505","BK4099"],"gpt_icon":0},{"id":"2567118052","title":"麦格纳斩获中国车企小鹏汽车的整车制造订单","url":"https://stock-news.laohu8.com/highlight/detail?id=2567118052","media":"美通社","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2567118052?lang=zh_cn&edition=fundamental","pubTime":"2025-09-15 14:00","pubTimestamp":1757916000,"startTime":"0","endTime":"0","summary":"今日，麦格纳宣布，中国智能电动汽车领军企业小鹏汽车已选定该公司为欧洲市场组装两款全新车型。小鹏汽车的这个新项目标志着麦格纳在奥地利格拉茨的工厂首次为中国主机厂进行整车组装，这与小鹏汽车深耕欧洲市场、推进本地化运营的战略承诺高度一致。截至目前，麦格纳已成功开发了40余款整车及衍生车型，累计制造整车突破400万辆。想了解更多麦格纳整车制造能力的信息，可访问 。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://wwwold.prnasia.com/story/archive/4773115_ZH73115_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["BK4551","IE00B19Z4B17.USD","XPEV","BK4505","BK4526","IE00B66KJ199.SGD","BK4555","MGA","BK4511","MG","BK4123","EVS.SI","BK4099","IE0031619046.USD","BK4124","IE00B7SZL793.SGD"],"gpt_icon":1},{"id":"2566996165","title":"汽车零部件供应商曼格纳国际任命新首席财务官","url":"https://stock-news.laohu8.com/highlight/detail?id=2566996165","media":"格隆汇","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2566996165?lang=zh_cn&edition=fundamental","pubTime":"2025-09-11 21:09","pubTimestamp":1757596157,"startTime":"0","endTime":"0","summary":null,"market":"fut","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.gelonghui.com/rss/live/live.xml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"live_gelonghui","symbols":["LU0648001328.SGD","BK4516","BK4588","LU0757428866.USD","LU0006061336.USD","LU0320765489.SGD","LU0980610538.SGD","BK4561","BK4574","BK4511","LU0477156953.USD","LU0072461881.USD","LU0130517989.USD","IE00BZ199S13.USD","LU0130102774.USD","BK4555","BK4585","LU1201861165.SGD","LU0130103400.USD","HTZ","VC","LU0162691827.USD","LU0345770993.USD","BK4596","LU0211331839.USD","BK4022","BK4559","LU1815336091.USD","LU0070302665.USD","GM","LU0345770308.USD","LU0648000940.SGD","BK4230","LU0130518102.USD","MGA","BK4566","LU0477156797.USD","BK4124","LU0208291251.USD","LU1201861249.SGD","BK4099"],"gpt_icon":0}],"pageSize":20,"totalPage":1,"pageCount":1,"totalSize":12,"code":"91000000","status":"200"}]}}