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National Storage Affiliates Trust

31.99

+0.53001.68%

盘后：31.990.00000.00%16:20 EDT

成交量：120.27万

成交额：3,845.18万

市值：24.46亿

市盈率：264.10

高：32.22

开：31.43

低：31.37

收：31.46

数据加载中...

总览公司新闻公告

National Storage Affiliates Trust 报告截至 12 月 31 日的季度业绩 - 收益摘要

国家储存公司2024年第四季度FFO为0.60美元，高于0.58美元的预期，销售额为1.90118亿美元，高于1.85655亿美元的预期

美国逾百名情报官员丢工作因在国安局秘密聊天室交流跨性别经历

环球市场播报

National Storage Affiliates Trust 预计每股收益 19 美分 - Earnings Preview

富国银行：维持National Storage(NSA.US)评级，由减持调整至减持评级, 目标价由40.00美元调整至38.00美元。

国泰君安：DeepSeek NSA架构引领AI效率革新从基础设施到应用层都将会迎来新的发展机遇

DeepSeek发布NSA技术论文：长文本处理迎来革命性突破与行业变革

中国大模型“卷技术”！DeepSeek前脚发布NSA，Kimi立刻跟进MoBA

华尔街见闻

DeepSeek推出NSA，用于超快速的长上下文训练和推理

DeepSeek宣布推出NSA：用于超快速长上下文训练和推理

环球市场播报

Vitalik呼吁苹果拒绝英国政府后门要求：退出市场以维护加密安全

美股AI软件巨头业绩碾压预期股价延续去年涨势创新高

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Storage Affiliates Trust 报告截至 12 月 31 日的季度业绩 - 收益摘要","url":"https://stock-news.laohu8.com/highlight/detail?id=2514452894","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2514452894?lang=zh_cn&edition=fundamental","pubTime":"2025-02-27 07:34","pubTimestamp":1740612874,"startTime":"0","endTime":"0","summary":"National Storage Affiliates Trust 报告截至 12 月 31 日的季度业绩 - 收益摘要National Storage Affiliates Trust NSA.N 公布的截至 12 月 31 日的季度调整后每股收益为 15 美分，低于去年同期的每股收益 72 美分。华尔街预期为每股收益 12 美分至 33 美分。营收同比下降 11.7%，至 1.9012 亿美元；分析师预期为 1.8566 亿美元。National Storage Affiliates Trust 公布的本季度每股收益为 15 美分。公司报告的季度净收入为 1162 万美元。National Storage Affiliates Trust 的股价本季度上涨了 2.5%。华尔街对 National Storage Affiliates Trust 的 12 个月目标价中位数为 42.00 美元。","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:20250226:nL3S3PH29U: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":["NSA","BK4084","BK4217"],"gpt_icon":0},{"id":"1163844377","title":"国家储存公司2024年第四季度FFO为0.60美元，高于0.58美元的预期，销售额为1.90118亿美元，高于1.85655亿美元的预期","url":"https://stock-news.laohu8.com/highlight/detail?id=1163844377","media":"财报速递","labels":["express"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1163844377?lang=zh_cn&edition=fundamental","pubTime":"2025-02-27 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05:05","pubTimestamp":1740603955,"startTime":"0","endTime":"0","summary":"美国国家情报总监Tulsi Gabbard正准备解雇100多名情报官员，因其在国家安全局平台上的秘密聊天室交流跨性别经历，包括有时发送露骨的信息。　　美国国家情报总监办公室发言人表示，Gabbard周二发出了一份备忘录，要求所有情报机构在周五之前确认参与NSA聊天室的员工身份，终止雇佣关系，并撤销其安全许可。他们从NSA聊天室获得了记录，其中来自不同机构的官员似乎在讨论性、医疗和生活方式等方面的跨性别问题。","market":"us","thumbnail":"","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.sina.com.cn/stock/usstock/c/2025-02-27/doc-inemwiqt8250419.shtml","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":"sina_us","symbols":["BK4084","NSA","BK4217"],"gpt_icon":0},{"id":"2514070413","title":"National Storage Affiliates Trust  预计每股收益 19 美分 - Earnings Preview","url":"https://stock-news.laohu8.com/highlight/detail?id=2514070413","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2514070413?lang=zh_cn&edition=fundamental","pubTime":"2025-02-25 06:22","pubTimestamp":1740435727,"startTime":"0","endTime":"0","summary":"National Storage Affiliates Trust  预计每股收益 19 美分 - Earnings PreviewNational Storage Affiliates Trust NSA.N, NSA将于2月26日公布截至2024年12月31日的财报，预计季度收入将出现下降。)LSEG 的分析师平均预期 National Storage Affiliates Trust 每股收益为 19 美分。华尔街对 National Storage Affiliates Trust 的 12 个月目标价中位数为 42.00 美元，高于上一交易日的收盘价 38.13 美元。除非另有说明，否则所有数据均以美元为单位。如有任何其他问题或反馈，请联系 RefinitivNewsSupport@thomsonreuters.com。对于因为使用自动化翻译功能而造成的任何损害或损失，路透不承担任何责任。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":["earning"],"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:20250224:nL3T3PF1R9:1","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":["NSA"],"gpt_icon":0},{"id":"2513230296","title":"富国银行：维持National Storage(NSA.US)评级，由减持调整至减持评级, 目标价由40.00美元调整至38.00美元。","url":"https://stock-news.laohu8.com/highlight/detail?id=2513230296","media":"金融界","labels":["shareholding"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2513230296?lang=zh_cn&edition=fundamental","pubTime":"2025-02-21 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06:49","pubTimestamp":1740091796,"startTime":"0","endTime":"0","summary":"智通财经APP获悉，国泰君安发布研报称，DeepSeek发布NSA相关论文，突破长文本处理瓶颈，低成本模型训练可行性推动AI大模型转向算法效率竞争。通过降低AI应用开发门槛，有望激发新一轮创新浪潮，最终加速AI在各行业的渗透，带动整个产业链升级，从基础设施到应用层都将会迎来新的发展机遇。特别是在边缘计算等低延迟场景中，NSA的高效推理特性或催生出全新的商业模式，从而也给硬件厂商、解决方案商等带来新的市场机遇。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":["earning"],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://www.zhitongcaijing.com/content/detail/1252479.html","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":"stock_zhitongcaijing","symbols":["02611","601211","NSA"],"gpt_icon":0},{"id":"2512127140","title":"DeepSeek发布NSA技术论文：长文本处理迎来革命性突破与行业变革","url":"https://stock-news.laohu8.com/highlight/detail?id=2512127140","media":"新浪财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2512127140?lang=zh_cn&edition=fundamental","pubTime":"2025-02-19 15:30","pubTimestamp":1739950200,"startTime":"0","endTime":"0","summary":"　　长文本处理一直是横亘在人工智能领域的一座险峻高山。　　在这一严峻背景下，近日，DeepSeek公司重磅推出NSA技术，宛如一道曙光，划破长文本处理的暗夜。该技术借助稀疏矩阵计算，以创新性的方式大幅削减长文本处理的计算复杂度，为这一领域带来了革命性突破的希望。　　与xAI等行业劲敌相较，DeepSeek凭借NSA技术在长文本处理上的卓越效能，已悄然具备在这些细分市场拔得头筹的实力。","market":"sh","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":["earning"],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/aigcy/2025-02-19/doc-inekzcyh5683269.shtml","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":"sina","symbols":["NSA"],"gpt_icon":0},{"id":"2512413661","title":"中国大模型“卷技术”！DeepSeek前脚发布NSA，Kimi立刻跟进MoBA","url":"https://stock-news.laohu8.com/highlight/detail?id=2512413661","media":"华尔街见闻","labels":["viewpoints"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2512413661?lang=zh_cn&edition=fundamental","pubTime":"2025-02-19 11:18","pubTimestamp":1739935125,"startTime":"0","endTime":"0","summary":"Kimi联合清华和浙大推出的稀疏注意力技术MoBA，在长文本处理任务中可以保持相近性能的同时，将注意力计算的时间和内存消耗显著降低。特别是在处理超长文本（如1000万token）时，MoBA的优势更加明显，可以实现16倍以上的加速。","market":"us","thumbnail":"https://wpimg-wscn.awtmt.com/6a52a6b7-e356-436d-9939-d8f34ff949a7.png","type":0,"news_type":0,"thumbnails":["https://wpimg-wscn.awtmt.com/6a52a6b7-e356-436d-9939-d8f34ff949a7.png"],"rights":{"source":"wallstreetcn_hot_news","url":"https://wallstreetcn.com/articles/3741396","rn_cache_url":null,"directOrigin":true},"property":["earning"],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://wallstreetcn.com/articles/3741396","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":"中国大模型“卷技术”！DeepSeek前脚发布NSA，Kimi立刻跟进MoBA","news_tag":"viewpoints","news_rank":0,"length":0,"strategy_id":0,"source":"wallstreetcn_hot_news","symbols":["NSA"],"gpt_icon":0},{"id":"2512131129","title":"DeepSeek推出NSA，用于超快速的长上下文训练和推理","url":"https://stock-news.laohu8.com/highlight/detail?id=2512131129","media":"Blockbeats","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2512131129?lang=zh_cn&edition=fundamental","pubTime":"2025-02-18 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