美股詳情

本頁面由Tiger Trade Technology Pte. Ltd.提供服務

ZoomInfo Technologies Inc.

6.15

-0.0350-0.57%

成交量：159.10萬

成交額：959.15萬

市值：18.76億

市盈率：16.17

高：6.20

開：6.07

低：5.93

收：6.18

52周最高：12.51

52周最低：5.77

股本：3.05億

流通股本：2.51億

量比：0.39

換手率：0.63%

股息：- -

股息率：- -

每股收益(TTM):0.3800

每股收益(LYR):0.3800

淨資產收益率：7.76%

總資產收益率：2.58%

市淨率：1.24

市盈率(LYR):16.17

資料載入中...

總覽公司新聞資訊公告

美國和伊朗的衝突讓全世界的AI中斷了

異動解讀 | 摩根大通下調目標價，ZoomInfo Technologies盤前大跌9.56%

美國研究綜述-KKR、Sirius XM、Workday

財報前瞻｜ZoomInfo Technologies Inc.本季度營收預計增3.95%，機構觀點待確認

a16z新募資150億美元：一直被質疑，為何能成為「最會講故事」的風投？

深度乾貨：如何利用分發優勢為加密產品構建 GTM 策略

別眨眼，加密的下個風口可能是鏈上期權

下跌市場的生存法則：從方向性投機到系統性盈利的七種路徑

Variant Fund：為什麼説鏈上期權已經具備爆發的條件？

ZoomInfo Technologies第三季度調整後每股收益為0.28美元

電信行業資深人士David Oliveira加入Kinetic出任首席營收官

{"basename":"/hant","ssrTDKData":{"titleTemplate":"%s - 老虎證券","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":"老虎證券,老虎證券開戶,老虎券商,老虎證券官網,老虎證券app,tigertrade老虎證券,股票,炒股,新加坡股票交易平臺,投資,投資理財","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/hant/stock/GTM/news"},"companyName":"老虎證券"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"SGP","license":"TBSG","edition":"fundamental","symbol":"GTM","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"GTM\",,,,,undefined,":{"symbol":"GTM","market":"US","secType":"STK","nameCN":"ZoomInfo Technologies Inc.","latestPrice":6.145,"timestamp":1772557104775,"preClose":6.18,"halted":0,"volume":1590982,"delay":0,"changeRate":-0.005663430420711997,"floatShares":250999999,"shares":305294644,"eps":0.38,"marketStatus":"交易中","change":-0.035,"latestTime":"03-03 11:58:26 EST","open":6.07,"high":6.2,"low":5.93,"amount":9591524.545723999,"amplitude":0.043689,"askPrice":6.15,"askSize":703,"bidPrice":6.14,"bidSize":1614,"shortable":3,"etf":0,"ttmEps":0.38,"tradingStatus":2,"nextMarketStatus":{"tag":"盤後交易","tradingStatus":3,"beginTime":1772571600000},"marketStatusCode":2,"adr":0,"listingDate":1591243200000,"exchange":"NASDAQ","adjPreClose":6.18,"preHourTrading":{"tag":"盘前","latestPrice":6.11,"preClose":6.18,"latestTime":"09:27 EST","volume":801,"amount":4886.699949000001,"timestamp":1772548060056,"change":-0.07,"changeRate":-0.011327,"amplitude":0.037217},"postHourTrading":{"tag":"盘后","latestPrice":6.18,"preClose":6.18,"latestTime":"19:54 EST","volume":119036,"amount":735657.9017,"timestamp":1772499265717,"change":0,"changeRate":0,"amplitude":0.001828},"volumeRatio":0.39278,"impliedVol":0.667,"impliedVolPercentile":0.7673},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"GTM\",,,,,undefined,":{"symbol":"GTM","floatShares":250999999,"roa":"2.58%","roe":"7.76%","lyrEps":0.38,"volumeRatio":0.39278,"shares":305294644,"dividePrice":0,"high":6.2,"amplitude":0.043689,"preClose":6.18,"low":5.93,"week52Low":5.77,"pbRate":"1.24","psRate":"1.50","week52High":12.51,"institutionHeld":0,"latestPrice":6.145,"committee":0.524799,"eps":0.38,"divideRate":0,"volume":1590982,"delay":0,"ttmEps":0.38,"open":6.07,"prevYearClose":10.17,"prevWeekClose":6.21,"prevMonthClose":6.21,"prevQuarterClose":10.17,"fiveDayClose":5.99,"twentyDayClose":7.81,"sixtyDayClose":10.07},"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/GTM\",params:#limit:5,,,undefined,":[{"market":"US","date":"2026-02-09","symbol":"GTM","fiscalQuarterEnding":"2025/12","expectedEps":0.2,"name":null,"time":"盤後","type":"earning","dateTimestamp":1770613200000,"reportTimeType":"post","actualEps":0.25},{"market":"US","date":"2025-11-03","symbol":"GTM","fiscalQuarterEnding":"2025/09","expectedEps":0.17,"name":null,"time":"盤後","type":"earning","dateTimestamp":1762146000000,"reportTimeType":"post","actualEps":0.2},{"market":"US","date":"2025-08-04","symbol":"GTM","fiscalQuarterEnding":"2025/06","expectedEps":0.14,"name":null,"time":"盤後","type":"earning","dateTimestamp":1754280000000,"reportTimeType":"post","actualEps":0.16},{"market":"US","date":"2025-05-12","symbol":"GTM","fiscalQuarterEnding":"2025/03","expectedEps":0.14,"name":null,"time":"盤後","type":"earning","dateTimestamp":1747022400000,"reportTimeType":"post","actualEps":0.15},{"market":"US","date":"2025-02-25","symbol":"GTM","fiscalQuarterEnding":"2024/12","expectedEps":0.14,"name":null,"time":"盤後","type":"earning","dateTimestamp":1740459600000,"reportTimeType":"post","actualEps":0.16}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"GTM\",market:\"US\",,,undefined,":[],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"GTM\",market:\"US\",delay:false,,,undefined,":{"strongBuy":0.1304,"buy":0.1304,"hold":0.5217,"sell":0.1739,"strongSell":0.0435,"meanLabel":"HOLD","meanPercent":0.5217,"analysts":23,"updateTime":1770958800000},"@#url:\"https://hq.skytigris.cn/value_analysis/stock/GTM\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"GTM","date":"2026-03-02","current":16.263158,"percent":0.006818,"low":14.723953,"twenty":36.078149,"median":81.34103,"eighty":248.81734,"high":499.029257,"avg":141.337861,"sd":131.476071,"marketCap":1895879739},"quantilePoints":[{"date":"2024-05-31","current":58.943773,"twenty":59.577371,"median":60.311768,"eighty":61.026965,"marketCap":4591719941},{"date":"2024-06-07","current":59.231772,"twenty":57.954977,"median":59.231772,"eighty":60.249368,"marketCap":4614155055},{"date":"2024-06-14","current":59.423771,"twenty":58.214176,"median":59.399771,"eighty":60.700567,"marketCap":4629111797},{"date":"2024-06-21","current":58.991773,"twenty":57.791778,"median":59.111773,"eighty":60.374168,"marketCap":4595459126},{"date":"2024-06-28","current":61.295764,"twenty":57.791778,"median":59.279772,"eighty":60.527767,"marketCap":4774940036},{"date":"2024-07-05","current":58.895773,"twenty":57.974177,"median":59.231772,"eighty":60.575767,"marketCap":4587980755},{"date":"2024-07-12","current":56.255784,"twenty":57.23498,"median":58.967773,"eighty":60.306968,"marketCap":4382325546},{"date":"2024-07-19","current":54.959789,"twenty":57.023781,"median":58.799774,"eighty":59.999769,"marketCap":4281367534},{"date":"2024-07-26","current":55.631786,"twenty":55.986985,"median":58.199776,"eighty":59.999769,"marketCap":4333716133},{"date":"2024-08-02","current":49.967808,"twenty":55.257388,"median":57.695778,"eighty":59.970969,"marketCap":3892492230},{"date":"2024-08-09","current":213.475316,"twenty":55.343787,"median":58.199776,"eighty":60.575767,"marketCap":3287519865},{"date":"2024-08-16","current":216.796043,"twenty":55.554986,"median":58.799774,"eighty":61.286164,"marketCap":3338659062},{"date":"2024-08-23","current":230.553341,"twenty":55.689386,"median":58.967773,"eighty":206.549228,"marketCap":3550521454},{"date":"2024-08-30","current":234.585653,"twenty":55.986985,"median":59.279772,"eighty":216.131898,"marketCap":3612619051},{"date":"2024-09-06","current":226.52103,"twenty":56.255784,"median":59.423771,"eighty":225.57225,"marketCap":3488423856},{"date":"2024-09-13","current":251.900873,"twenty":56.543783,"median":59.999769,"eighty":229.367367,"marketCap":3879273440},{"date":"2024-09-20","current":244.073444,"twenty":56.639782,"median":60.383768,"eighty":230.553341,"marketCap":3758731045},{"date":"2024-09-27","current":249.054535,"twenty":57.023781,"median":60.839766,"eighty":232.4509,"marketCap":3835439842},{"date":"2024-10-04","current":234.822847,"twenty":57.023781,"median":61.295764,"eighty":234.822847,"marketCap":3616271851},{"date":"2024-10-11","current":240.515523,"twenty":57.11978,"median":198.176252,"eighty":235.297237,"marketCap":3703939047},{"date":"2024-10-18","current":251.663678,"twenty":57.407779,"median":210.391784,"eighty":237.90638,"marketCap":3875620640},{"date":"2024-10-25","current":248.81734,"twenty":57.695778,"median":215.135679,"eighty":240.515523,"marketCap":3831787042},{"date":"2024-11-01","current":268.741703,"twenty":57.695778,"median":218.456407,"eighty":243.83625,"marketCap":4138622230},{"date":"2024-11-08","current":284.39656,"twenty":57.695778,"median":225.928043,"eighty":244.785029,"marketCap":4379707020},{"date":"2024-11-15","current":390.295818,"twenty":57.935777,"median":226.758224,"eighty":246.682587,"marketCap":3512662363},{"date":"2024-11-22","current":405.556652,"twenty":58.127776,"median":229.604562,"eighty":251.426483,"marketCap":3650009865},{"date":"2024-11-29","current":417.383798,"twenty":58.242976,"median":230.434743,"eighty":251.711117,"marketCap":3756454179},{"date":"2024-12-06","current":421.199006,"twenty":58.694174,"median":230.553341,"eighty":254.936966,"marketCap":3790791055},{"date":"2024-12-13","current":396.781672,"twenty":58.799774,"median":232.095107,"eighty":267.98268,"marketCap":3571035052},{"date":"2024-12-20","current":411.660985,"twenty":58.876573,"median":232.925289,"eighty":287.527531,"marketCap":3704948866},{"date":"2024-12-27","current":406.701214,"twenty":58.924573,"median":234.585653,"eighty":382.741705,"marketCap":3660310928},{"date":"2025-01-03","current":405.747412,"twenty":58.962973,"median":235.297237,"eighty":396.781672,"marketCap":3651726709},{"date":"2025-01-10","current":359.774151,"twenty":59.039773,"median":235.771627,"eighty":396.781672,"marketCap":3237967359},{"date":"2025-01-17","current":385.336047,"twenty":59.241372,"median":237.927278,"eighty":396.55276,"marketCap":3468024425},{"date":"2025-01-24","current":380.757797,"twenty":59.279772,"median":239.922535,"eighty":395.63711,"marketCap":3426820174},{"date":"2025-01-31","current":392.584943,"twenty":59.375772,"median":240.989912,"eighty":396.781672,"marketCap":3533264488},{"date":"2025-02-07","current":381.520839,"twenty":59.423771,"median":243.243263,"eighty":396.781672,"marketCap":3433687550},{"date":"2025-02-14","current":390.677339,"twenty":59.85577,"median":244.073444,"eighty":396.781672,"marketCap":3516096051},{"date":"2025-02-21","current":368.167609,"twenty":59.970969,"median":244.785029,"eighty":396.781672,"marketCap":3313508485},{"date":"2025-02-28","current":137.152134,"twenty":59.999769,"median":244.073444,"eighty":395.866022,"marketCap":3991127110},{"date":"2025-03-07","current":135.387742,"twenty":59.999769,"median":243.83625,"eighty":393.80581,"marketCap":3939783279},{"date":"2025-03-14","current":122.919366,"twenty":60.306968,"median":241.701497,"eighty":392.737551,"marketCap":3576953542},{"date":"2025-03-21","current":128.094918,"twenty":60.575767,"median":240.278328,"eighty":392.584943,"marketCap":3727562112},{"date":"2025-03-28","current":116.875394,"twenty":60.777366,"median":237.927278,"eighty":392.584943,"marketCap":3401073966},{"date":"2025-04-04","current":87.569325,"twenty":60.854166,"median":235.771627,"eighty":392.279726,"marketCap":2548267359},{"date":"2025-04-11","current":92.221082,"twenty":61.170964,"median":235.060042,"eighty":390.982556,"marketCap":2683633487},{"date":"2025-04-17","current":93.151433,"twenty":61.276564,"median":234.585653,"eighty":390.448426,"marketCap":2710706713},{"date":"2025-04-25","current":102.22236,"twenty":61.497363,"median":232.4509,"eighty":390.066905,"marketCap":2974670662},{"date":"2025-05-02","current":104.664532,"twenty":76.356984,"median":231.264926,"eighty":388.998647,"marketCap":3045737880},{"date":"2025-05-09","current":108.734819,"twenty":87.011114,"median":230.553341,"eighty":388.388214,"marketCap":3164183242},{"date":"2025-05-16","current":82.2278,"twenty":81.776353,"median":230.078952,"eighty":388.159301,"marketCap":3354894240},{"date":"2025-05-23","current":76.987793,"twenty":77.713332,"median":228.655783,"eighty":388.006693,"marketCap":3141101960},{"date":"2025-05-30","current":75.133637,"twenty":76.842685,"median":226.52103,"eighty":387.548868,"marketCap":3065452384},{"date":"2025-06-06","current":80.373644,"twenty":76.987793,"median":224.742069,"eighty":386.404306,"marketCap":3279244664},{"date":"2025-06-13","current":80.534875,"twenty":76.987793,"median":218.219212,"eighty":385.56496,"marketCap":3285822888},{"date":"2025-06-20","current":78.519487,"twenty":77.020039,"median":213.475316,"eighty":384.573005,"marketCap":3203595088},{"date":"2025-06-27","current":79.970566,"twenty":77.294132,"median":208.494225,"eighty":381.368231,"marketCap":3262799104},{"date":"2025-07-03","current":82.711493,"twenty":77.874564,"median":198.176252,"eighty":380.757797,"marketCap":3374628912},{"date":"2025-07-11","current":83.598263,"twenty":78.197025,"median":139.975163,"eighty":380.757797,"marketCap":3410809144},{"date":"2025-07-18","current":84.243187,"twenty":78.358256,"median":137.563826,"eighty":379.613235,"marketCap":3437122040},{"date":"2025-07-25","current":88.596424,"twenty":78.519487,"median":135.387742,"eighty":378.087151,"marketCap":3614734088},{"date":"2025-08-01","current":87.306576,"twenty":78.519487,"median":131.035573,"eighty":377.70563,"marketCap":3562108296},{"date":"2025-08-08","current":37.114056,"twenty":78.197025,"median":129.741685,"eighty":377.70563,"marketCap":3310573835},{"date":"2025-08-15","current":35.970986,"twenty":76.987793,"median":128.388983,"eighty":377.32411,"marketCap":3208611984},{"date":"2025-08-22","current":36.078149,"twenty":76.423485,"median":126.095273,"eighty":373.508901,"marketCap":3218170908},{"date":"2025-08-29","current":38.917964,"twenty":61.247764,"median":123.978002,"eighty":372.74586,"marketCap":3471482380},{"date":"2025-09-05","current":36.149591,"twenty":60.575767,"median":123.154618,"eighty":370.91456,"marketCap":3224543523},{"date":"2025-09-12","current":41.972104,"twenty":59.970969,"median":116.293924,"eighty":368.625434,"marketCap":3743911700},{"date":"2025-09-19","current":43.365221,"twenty":59.270172,"median":113.091048,"eighty":367.862393,"marketCap":3868177705},{"date":"2025-09-26","current":40.543267,"twenty":58.876573,"median":107.455586,"eighty":366.870439,"marketCap":3616459387},{"date":"2025-10-03","current":37.328382,"twenty":58.089376,"median":104.664532,"eighty":361.147626,"marketCap":3329691682},{"date":"2025-10-10","current":37.292661,"twenty":57.638178,"median":102.22236,"eighty":311.995963,"marketCap":3326505374},{"date":"2025-10-17","current":36.310335,"twenty":56.946981,"median":101.408302,"eighty":287.527531,"marketCap":3238881909},{"date":"2025-10-24","current":39.471638,"twenty":55.862185,"median":100.361657,"eighty":281.550222,"marketCap":3520870152},{"date":"2025-10-31","current":38.935824,"twenty":55.238188,"median":97.628749,"eighty":279.510347,"marketCap":3473075534},{"date":"2025-11-07","current":32.027283,"twenty":54.47979,"median":93.151433,"eighty":270.829017,"marketCap":3334040113},{"date":"2025-11-14","current":30.590545,"twenty":52.310199,"median":92.628111,"eighty":267.98268,"marketCap":3184475697},{"date":"2025-11-21","current":27.14836,"twenty":42.872272,"median":92.221082,"eighty":265.895366,"marketCap":2826144283},{"date":"2025-11-28","current":29.692583,"twenty":42.279305,"median":90.45058,"eighty":263.42854,"marketCap":3090997937},{"date":"2025-12-05","current":29.662651,"twenty":41.400569,"median":89.501548,"eighty":258.257693,"marketCap":3087882011},{"date":"2025-12-12","current":29.812312,"twenty":40.650429,"median":88.596424,"eighty":255.126722,"marketCap":3103461638},{"date":"2025-12-19","current":30.440884,"twenty":39.653815,"median":87.43795,"eighty":254.177943,"marketCap":3168896070},{"date":"2025-12-26","current":30.291224,"twenty":38.985833,"median":86.458033,"eighty":253.229163,"marketCap":3153316444},{"date":"2026-01-02","current":30.440884,"twenty":38.921536,"median":85.009034,"eighty":252.280384,"marketCap":3168896070},{"date":"2026-01-09","current":31.668098,"twenty":38.171396,"median":84.081956,"eighty":251.853434,"marketCap":3296649009},{"date":"2026-01-16","current":29.93204,"twenty":37.685591,"median":83.517648,"eighty":251.616239,"marketCap":3115925340},{"date":"2026-01-23","current":27.29802,"twenty":37.364103,"median":82.913032,"eighty":251.426483,"marketCap":2841723910},{"date":"2026-01-30","current":24.514341,"twenty":37.23908,"median":82.550262,"eighty":251.426483,"marketCap":2551942853},{"date":"2026-02-06","current":20.293923,"twenty":36.828289,"median":82.268107,"eighty":251.426483,"marketCap":2112597380},{"date":"2026-02-13","current":15.48596,"twenty":36.649684,"median":81.905338,"eighty":249.054535,"marketCap":1923356257},{"date":"2026-02-20","current":15.805512,"twenty":36.513944,"median":81.824723,"eighty":248.864779,"marketCap":1963044560},{"date":"2026-02-27","current":15.731769,"twenty":36.078149,"median":81.461953,"eighty":248.81734,"marketCap":1953885721},{"date":"2026-03-02","current":15.264732,"twenty":36.078149,"median":81.34103,"eighty":248.81734,"marketCap":1895879739}],"updateTime":1772535424785},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"GTM\",pageSize:20,pageCount:1,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"2616836227","title":"美國和伊朗的衝突讓全世界的AI中斷了","url":"https://stock-news.laohu8.com/highlight/detail?id=2616836227","media":"01Founder","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2616836227?lang=zh_tw&edition=fundamental","pubTime":"2026-03-03 06:51","pubTimestamp":1772491887,"startTime":"0","endTime":"0","summary":"根据路透社和当地媒体随后拼凑出的碎片信息：不明物体击中了数据中心的配套电力设施。为了防止火势蔓延引发更大的次生灾害，自动消防系统接管了现场，电力供应被强制切断。而且受影响的远不止 AI。在过去的战争逻辑中，轰炸的目标是切断能源或交通。这就是现代世界的超距作用。一家估值千亿的 AI 公司，其命脉竟然维系于沙漠中一座机房的安保状况。","market":"sh","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://finance.ifeng.com/c/8rBQys8bxg4","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":"fenghuang_stock","symbols":["AIYY","BK4588","BK4551","BK4587","UAE","BK4081","BK4543","EMA","BK4528","APAC","BK4023","GTM","BK4077","BK4585"],"gpt_icon":1},{"id":"1145437265","title":"異動解讀 | 摩根大通下調目標價，ZoomInfo Technologies盤前大跌9.56%","url":"https://stock-news.laohu8.com/highlight/detail?id=1145437265","media":"异动解读","labels":["movement"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1145437265?lang=zh_tw&edition=fundamental","pubTime":"2026-02-10 17:09","pubTimestamp":1770714567,"startTime":"0","endTime":"0","summary":"ZoomInfo Technologies Inc.（股票代码：GTM）今日盘前股价大幅下跌9.56%，引起了市场的关注。消息面上，据路透报道，摩根大通（JPM）在最新的研究报告中，将ZoomInfo Technologies Inc.的目标价从14美元下调至12美元。分析师下调目标价通常被视为对公司未来前景的谨慎看法，这可能是导致该股在盘前交易时段承压下跌的主要原因。","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":"movement","news_rank":0,"length":0,"strategy_id":0,"source":"ai_movement_cn","symbols":["GTM"],"gpt_icon":0},{"id":"2610861466","title":"美國研究綜述-KKR、Sirius XM、Workday","url":"https://stock-news.laohu8.com/highlight/detail?id=2610861466","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2610861466?lang=zh_tw&edition=fundamental","pubTime":"2026-02-10 15:59","pubTimestamp":1770710372,"startTime":"0","endTime":"0","summary":"美国研究综述-KKR、Sirius XM、Workday路透2月10日 - 华尔街证券分析师周二调整了对几家美国上市公司的评级和目标价，其中包括 KKR、Sirius XM Holdings Inc 和 Workday Inc。要点 * KKR & CO Inc KKR.N：杰富瑞将目标价从167美元下调至132美元 * Sirius XM Holdings Inc SIRI.O：摩根大通将其评级从 \"减持 \"上调至 \"中性\"。","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://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260210:nL4S3Z60LH:1","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":null,"symbols":["AFG","CGEM","ARVN","CAH","APA","TPR","EXEL","APO","VCTR","ARES","AMKR","PANW","ZYME","AES","CRCL","EXE","MCK","GPI","BX","KD","BAM","VTR","WDAY","WAT","FTAI","MNST","BDX","RGNX","CMS","UPWK","ICHR","GLTO","NUVL","GTM","FANG","RAL","CELC","GPOR","COGT","DT","KKR","SIRI","COR","BBOT","MNSH","BN","TPG","DVN","ON","FLNC"],"gpt_icon":0},{"id":"1187156698","title":"財報前瞻 ｜ZoomInfo Technologies Inc.本季度營收預計增3.95%，機構觀點待確認","url":"https://stock-news.laohu8.com/highlight/detail?id=1187156698","media":"财报Agent","labels":["earningPreview"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1187156698?lang=zh_tw&edition=fundamental","pubTime":"2026-02-02 10:25","pubTimestamp":1769999120,"startTime":"0","endTime":"0","summary":"ZoomInfo Technologies Inc.将于2026年02月09日发布最新财报，市场关注收入与利润修复节奏及订阅续费动向。市场一致预期本季度ZoomInfo Technologies Inc.营收为3.09亿美元，同比增长3.95%；调整后每股收益为0.28美元，同比增长26.39%；息税前利润为1.19亿美元，同比增长13.40%。上季度ZoomInfo Technologies Inc.营收为3.18亿美元，同比增长4.74%；毛利率为86.86%，同比数据未获得；归属母公司净利润为3,870.00万美元，净利率为12.17%，同口径净利润环比增长61.25%；调整后每股收益为0.28美元，同比数据未获得。","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":"0","news_top_title":"财报前瞻 ｜ZoomInfo Technologies Inc.本季度营收预计增3.95%，机构观点待确认","news_tag":"earningPreview","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["GTM"],"gpt_icon":0},{"id":"2603357095","title":"a16z新募資150億美元：一直被質疑，為何能成為「最會講故事」的風投？","url":"https://stock-news.laohu8.com/highlight/detail?id=2603357095","media":"Blockbeats","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2603357095?lang=zh_tw&edition=fundamental","pubTime":"2026-01-12 10:24","pubTimestamp":1768184640,"startTime":"0","endTime":"0","summary":"当 a16z 掷出 150 亿美元新募资的重磅消息，整个风投圈又一次被它搅动——有人翻出多年来对其模式的质疑，有人好奇这笔钱将流向何方。我更想带你看清：a16z 为何能成为风投圈“最会讲故事”的玩家？如今，a16z 宣布其所有投资策略共募集 150 亿美元，监管下的管理资产规模突破 900 亿美元。2009 年全球金融危机后，a16z 募集了 3 亿美元的 1 号基金，并提出“为创始人提供运营支持平台”的理念。","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://www.theblockbeats.info/news/60867","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":"theblockbeats_zh_highlight","symbols":["CTO","BK4211","LU1066053197.SGD","BK4149","BK4585","NAV","LPA","IRR","BK4077","BK4110","BK4233","ARR","GP","MIT","CFO","LU1066051811.HKD","LU1066051225.USD","BK4539","EBC","GTM","LU1066051498.USD","BK4160"],"gpt_icon":0},{"id":"2593904554","title":"深度乾貨：如何利用分發優勢為加密產品構建 GTM 策略","url":"https://stock-news.laohu8.com/highlight/detail?id=2593904554","media":"链捕手","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2593904554?lang=zh_tw&edition=fundamental","pubTime":"2025-12-23 20:50","pubTimestamp":1766494251,"startTime":"0","endTime":"0","summary":" 对于一家初创公司来说，找到适合产品的渠道就意味着成功了一半。 ","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.chaincatcher.com/article/2232069","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":null,"symbols":["GTM","BK4077","BK4585"],"gpt_icon":0},{"id":"2586216655","title":"別眨眼，加密的下個風口可能是鏈上期權","url":"https://stock-news.laohu8.com/highlight/detail?id=2586216655","media":"BitPush","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2586216655?lang=zh_tw&edition=fundamental","pubTime":"2025-11-27 12:45","pubTimestamp":1764218739,"startTime":"0","endTime":"0","summary":"如果加密货币的核心价值在于提供新的金融轨道，那么链上期权尚未普及就令人费解了。传统期权市场与链上期权市场之间的差异源于早期设计，受限于原始的基础设施，未能满足一个健康市场的两个要素：保护流动性提供者免受不良订单流的影响，以及吸引优质订单流。本文认为，链上期权协议可以通过瞄准套期保值者和散户这两个不同的优质订单流来源而蓬勃发展。遗憾的是，基于AMM的协议并未显著提升链上期权的普及率。","market":"hk","thumbnail":"https://images.bitpush.news/2025/11/special_cn-20251127-176421879456031226.png:微信图片_20251127124612_40_2-200x140.png","type":0,"news_type":0,"thumbnails":["https://images.bitpush.news/2025/11/special_cn-20251127-176421879456031226.png:微信图片_20251127124612_40_2-200x140.png"],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.bitpush.news//articles/7591437","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":"bit_push_news","symbols":["BTC.USD.CC","IBIT","BK4588","BK4077","BK4594","GTM","BTC.USD.HKCC","BK4585","BK4601","LDO.USD.HKCC"],"gpt_icon":0},{"id":"2586252604","title":"下跌市場的生存法則：從方向性投機到系統性盈利的七種路徑","url":"https://stock-news.laohu8.com/highlight/detail?id=2586252604","media":"BitPush","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2586252604?lang=zh_tw&edition=fundamental","pubTime":"2025-11-26 20:53","pubTimestamp":1764161624,"startTime":"0","endTime":"0","summary":"恐慌性抛售，然后彻底退出市场；然而，专业人士的做法则完全不同。他们会从“方向性投机”转向“可复制的现金流与优势构建”。为何在暴跌市场中有效？将收益视为“额外奖励”，而非持有该资产的核心原因。在当前市场中盈利的 Farming 玩家，不会随意点击杂乱的项目，他们的目标极具针对性。即便价格下跌，协议仍需要用户参与。一次丰厚的空投收益，可能超过数月小额交易的利润总和。用简单表格记录你正在 Farming 的项目及原因。","market":"us","thumbnail":"https://images.bitpush.news/2025/11/special_cn-20251126-176415975818674704.jpg:842-1764148645902-200x140.jpg","type":0,"news_type":0,"thumbnails":["https://images.bitpush.news/2025/11/special_cn-20251126-176415975818674704.jpg:842-1764148645902-200x140.jpg"],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.bitpush.news//articles/7591254","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":"bit_push_news","symbols":["LU0788109048.HKD","FOMO","UNI.USD.HKCC","LU0651946864.USD","LU1861220207.SGD","LU0651947912.USD","LU1051768304.USD","LU1861217088.USD","LU1515016050.SGD","BK4585","BK4127","LU0072463663.USD","LU0572108347.SGD","LU0047713382.USD","UNI.USD.CC","BK4077","LU1051769294.HKD","XP","GTM"],"gpt_icon":0},{"id":"2586810542","title":"Variant Fund：為什麼説鏈上期權已經具備爆發的條件？","url":"https://stock-news.laohu8.com/highlight/detail?id=2586810542","media":"链捕手","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2586810542?lang=zh_tw&edition=fundamental","pubTime":"2025-11-26 10:47","pubTimestamp":1764125261,"startTime":"0","endTime":"0","summary":" 如今解决不良订单流的基础设施已经存在，流动性提供者可以避免被套利者蚕食，剩下的挑战是如何制定有效的市场进入策略（GTM）来吸引优质订单流。 ","market":"nz","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.chaincatcher.com/article/2223916","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":["APT.USD.CC","BK4601","COMP.USD.CC","LTC.USD.HKCC","TON.USD.HKCC","AVAX.USD.HKCC","BRRR","EZBC","APT.USD.HKCC","DOT.USD.CC","DYDX.USD.HKCC","GBTC","LDO.USD.HKCC","VBTC.AU","SNX.USD.CC","COMP.USD.HKCC","DEFI","TON.USD.CC","BK4077","BTC.USD.CC","BK4588","AVAX.USD.CC","DOT.USD.HKCC","BITO","BTCO","GTM","HODL","FBTC","BK4585","ATOM.USD.HKCC","BK4594","UNI.USD.HKCC","USDT.USD.CC","LINK.USD.HKCC","BTC.USD.HKCC","SNX.USD.HKCC","UNI.USD.CC","BTCW","MKR.USD.CC"],"gpt_icon":1},{"id":"1167928423","title":"ZoomInfo Technologies第三季度調整後每股收益為0.28美元","url":"https://stock-news.laohu8.com/highlight/detail?id=1167928423","media":"投资观察","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1167928423?lang=zh_tw&edition=fundamental","pubTime":"2025-11-20 00:32","pubTimestamp":1763569927,"startTime":"0","endTime":"0","summary":"11月3日 - ZoomInfo Technologies第三季度每股收益为0.12美元。","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":"dataReport","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["GTM","BK4585","BK4077"],"gpt_icon":0},{"id":"1161629810","title":"電信行業資深人士David Oliveira加入Kinetic出任首席營收官","url":"https://stock-news.laohu8.com/highlight/detail?id=1161629810","media":"投资观察","labels":["executive"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1161629810?lang=zh_tw&edition=fundamental","pubTime":"2025-09-30 21:33","pubTimestamp":1759239185,"startTime":"0","endTime":"0","summary":"阿肯色州小石城，2025年9月30日——住宅和商业光纤互联网领域的领导者Kinetic今日宣布，David Oliveira已加入公司，担任执行副总裁兼首席营收官，负责监督Kinetic消费者和商业部门的所有销售、产品和市场推广运营工作。David正是这个时刻的完美领导者，\"Kinetic总裁John Harrobin表示。\"我很高兴David加入我们的Kinetic团队，我知道他将帮助我们加速发展势头，在我们服务的社区中获得成功。Oliveira在电信和宽带领域拥有超过二十年领导大规模销售和产品团队的经验。","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":"executive","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4234","BK4077","BK4585","BK4115","BK4084","UNIT","GTM"],"gpt_icon":0}],"pageSize":20,"totalPage":1,"pageCount":1,"totalSize":11,"code":"91000000","status":"200"}]}}