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Arm

ARM

241.8301.18% ( +2.820 )
已收盘: 9月15日 15:59:41 (美东)
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Arm (ARM)

Arm Holdings plc researches, develops, licenses, and markets central processing unit (CPU) intellectual property (IP), graphics processing unit IP, systems IP,...

今开
241.625
最高
253.155
最低
240.680
昨收
239.010
成交量
376.28 万股
成交额
9.23 亿
平均价
245.260
委比
-97.14%
振幅
5.22%
52 周高
452.700
量比
0.68
换手率
2.64%
52 周低
100.020
流通市值
344.93 亿
总市值USD
2,582.93 亿
市盈率TTM
247.41
市盈率动
239.16
市盈率静
--
每股收益TTM
0.977
每股收益动
1.01
每股收益静
--
每股净资产
8.08
市净率
29.93
流通股本
1.43 亿股
股息率TTM
--
股息TTM
--
总股本
10.68 亿股
每手
1
货币
USD

Arm 分析师预测

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预测及评级

2026 年 9 月 15 日
目标价预测
$288.7019.38%
预测及评级买入
43分析师
  • 强烈买入46.51%
  • 买入18.60%
  • 持有30.23%
  • 卖出2.33%
  • 强烈卖出2.33%
强烈买入
20
买入
8
持有
13
卖出
1
强烈卖出
1

每日事件

  1. 9月15日

    ARM 今日涨幅温和,收于 241.83 美元,较前收价上升 1.2%,背景是 GPU/CPU 芯片板块在 AI 投资周期调整下的复杂分化。作为芯片 IP 设计方,ARM 在该冲击中相对展现韧性,盘中最高冲上 252.80 美元(ET 09:53)。财报面,最新季度营收 12.89 亿美元,环比增长 22%,净利润同比暴增 108%,EPS 0.25 美元。价格位置上,ARM 虽年初至今涨 111%,但距 6 月高点 452.7 美元已回落近 47%,股价低于 20/60 日均线;高 PE 比率(247 倍)预示高期望下的调整风险。

  2. 9月14日

    ARM 今日盘中下跌约 9.7%,至 239.01 美元,主要受市场对 AI 增长前景的担忧和业内领袖呼吁放缓前沿模型开发的影响。这波抛售从盘前即已启动,跌幅超 8%,盘中继续走弱,盘后(北京时间今日凌晨)小幅反弹至 240.375 美元。整个 GPU/CPU 芯片板块同步下跌,Marvell、Intel 等均大幅下挫。对比来看,ARM 前一周五刚上涨 5% 并接近历史高位,年初至今累计涨幅已超 108%,这轮调整反映了前期高位获利兑现压力与对 AI 增长门槛提升的预期转变。从基本面看,ARM 最近两季度保持强增长,Q1 2027 EPS 同比增 108%、营收同比增 22%,但其极端估值(PE 244、PB 29.5)与下调的增长预期之间的落差,加剧了市场向下修正的力度。

  3. 9月11日

    ARM 今日上涨约 4.2%,主要受芯片板块整体反弹及产业生态推进带动。盘前小幅上扬至 257.73,盘中 13:53 ET 触及日高 267.77,收报 264.79,盘后小幅回落至 264.54。Synopsys 加入 ARM Total Design 平台推进物理 AI 应用,呼应市场对 2.2 万亿美元 AI 算力周期的看好前景。财报方面,Q1 2027 EPS 同比翻倍至 0.25 美元,营收 12.89 亿美元同比增 22.4%,净利润同比增 107.7%,净利率稳定在 21%。股价 YTD 已涨 130.79%,市值达 2828 亿美元,距 52 周高点 452.7 仍低 41.5%,处于 60 日均线附近。不过当前 PE 达 270.9、PB 达 32.8,估值水位值得持续关注。

  4. 9月10日

    ARM 今日下跌 3.8%,收于 254.18 美元,主要受芯片行业整体回调拖累。盘前交易中 ARM 跌幅最大,从 263.67 美元下跌至 252.71 美元(跌幅 4.15%),同期 Intel 下跌 4-5%、AMD 下跌 3%,显示 GPU/CPU 板块面临广泛的获利兑现压力。盘中虽有反弹至 257.77 美元,但收盘时未能完全收复跌幅。从基本面看,ARM Q1 净利润同比增长 107.69%,营收同比增长 22.41%,增长动力强劲,但当前 PE 倍数高达 260,反映市场对其前景的极高期待。从价格位置看,ARM 年初至今已上涨 121.55%,但距离 52 周高点 452.7 美元下跌 43.85%,表明前期涨幅已有显著调整。

  5. 9月9日

    ARM.US 今日上涨约 1%,从前收 261.53 美元至 264.23 美元。盘中表现分化,早盘快速拉升至 274.8 美元(涨幅 5.1%),随后有所回落,盘后继续反弹至 265.36 美元。涨势主要受芯片出货强劲与 AI 产品线扩展推动。ARM 芯片出货已突破 35 亿颗,并正向数据中心之外的边缘设备领域拓展 AI 产品应用。财报数据支撑这一增长:Q1 营收 12.89 亿美元同比增长 22.4%,净利润 2.7 亿美元同比增长 107.7%,净利率 20.9%;Q4 同期净利率超过 21%。从价格位置看,年初至今已涨 130.3%,但距 6 月份创出的 52 周高点 452.7 美元仍低约 41.6%。不过当前 PE 比高达 270 倍,反映市场对长期增长的高预期已充分定价。

新闻

  • 异动播报 · 1 小时前

    GPU/CPU 股盘中集体上扬,高通 (QCOM.US) 涨超 4%

  • GuruFocus · 2 小时前

    在 AI 抛售潮考验其版税机器之际,Arm 股价飙升

  • 异动播报 · 4 小时前

    GPU/CPU盘中走势分化,QCOM涨超4%

  • 异动播报 · 7 小时前

    GPU/CPU盘中普涨,QCOM涨近5%、DELL涨超4%、CBRS涨超3%

  • TradingKey · 7 小时前

    Arm Holdings PLC 的股票(ARM)在 9 月 15 日开盘上涨 3.20%:这传递了什么信号?

  • 异动播报 · 10 小时前

    GPU/CPU股盘前集体上扬,INTW涨3.50%、ARMG涨3.36%

讨论

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看涨 vs 看跌 · 近 3 个月

5.4 万 人关注 · 1 条表态
DCXCm
100%看跌▼
  • H
    Hardik Shah8 小时前

    📢 𝗝𝗨𝗦𝗧 𝗜𝗡: $Astera Labs(ALAB.US) Astera Labs Launches New Leo Memory Solutions for Agentic AI Infrastructure

    👉 𝗞𝗲𝘆 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀:

    ➤ 𝗔𝘀𝘁𝗲𝗿𝗮 𝗟𝗮𝗯𝘀 launches new 𝗟𝗲𝗼 𝗫-𝗦𝗲𝗿𝗶𝗲𝘀 and 𝗟𝗲𝗼 𝟮 memory controllers.

    ➤ Leo X-Series targets 𝗞𝗩-𝗰𝗮𝗰𝗵𝗲-intensive, long-context agentic AI inference workloads.

    ➤ Leo X-Series delivers up to 𝟲𝟮% faster time-to-first-token.

    ➤ Platform delivers up to 𝟮𝟮% more tokens per second.

    ➤ Leo 2 doubles 𝗺𝗲𝗺𝗼𝗿𝘆 𝗯𝗮𝗻𝗱𝘄𝗶𝗱𝘁𝗵 and capacity versus previous generation.

    ➤ New controllers support 𝗗𝗗𝗥𝟰, 𝗗𝗗𝗥𝟱, 𝗣𝗖𝗜𝗲 𝟲 and 𝗖𝗫𝗟 𝟯.𝟮.

    ➤ Leo 2 enables memory expansion, pooling, sharing, and 𝗗𝗗𝗥𝟰 reuse.

    ➤ Astera reports growing design wins across 𝗔𝗜 𝗹𝗮𝗯𝘀, hyperscalers, and neoclouds.

    ➤ New Leo products are 𝘀𝗮𝗺𝗽𝗹𝗶𝗻𝗴 𝘁𝗼𝗱𝗮𝘆 with hyperscaler customers.

    ➤ Development involved 𝗔𝗠𝗗, 𝗔𝗿𝗺, 𝗜𝗻𝘁𝗲𝗹 and major memory suppliers.

    👉 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗠𝗮𝘁𝘁𝗲𝗿𝘀:

    ➤ Agentic AI is rapidly increasing demand for 𝗺𝗲𝗺𝗼𝗿𝘆 𝗰𝗮𝗽𝗮𝗰𝗶𝘁𝘆 and bandwidth.

    ➤ Faster KV-cache access can improve 𝗔𝗜 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 economics and responsiveness.

    ➤ Memory pooling and reuse could reduce expensive 𝗗𝗥𝗔𝗠 over-provisioning.

    ➤ Growing design wins could expand Astera's exposure to 𝗿𝗮𝗰𝗸-𝘀𝗰𝗮𝗹𝗲 𝗔𝗜 infrastructure.

    👉 𝗘𝘅𝗽𝗲𝗿𝘁 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁𝘀:

    𝗠𝗮𝘁𝘁 𝗞𝗶𝗺𝗯𝗮𝗹𝗹, Vice President and Principal Analyst at Moor Insights & Strategy:

    “Agentic AI adoption is outpacing the industry's ability to provision memory for it, and that gap is widening every quarter," said Matt Kimball, vice president and principal analyst at Moor Insights & Strategy. "That growth is landing at the worst possible time for memory supply, with DDR5 tight and pricing climbing, so every gigabyte already deployed has to work harder. The new Leo X-Series and Leo 2 E and P-Series Smart Memory Controllers immediately address KV-cache-intensive AI workloads, improve memory utilization, and reliably reuse previously deployed memory across both AI and general-purpose cloud infrastructure, instead of simply buying more of it."

    𝗧𝗵𝗮𝗱 𝗢𝗺𝘂𝗿𝗮, Senior Vice President, Compute Connectivity Group at Astera Labs:

    “Agentic AI is where the economics of AI infrastructure are being decided, and those economics depend on putting every usable gigabyte of memory to work,” said Thad Omura, senior vice president, Compute Connectivity Group at Astera Labs. “The enhanced Leo family gives infrastructure providers purpose-built ways to connect memory to accelerators, CPUs, and hosts across the rack—turning previously deployed and stranded capacity into a resource that new AI and cloud workloads can use. We're seeing that translate into broader customer engagement across AI labs, hyperscalers, and neoclouds.”

    𝗥𝗼𝗯𝗲𝗿𝘁 𝗛𝗼𝗿𝗺𝘂𝘁𝗵, Corporate Vice President, Architecture and Strategy at AMD:

    “Agentic AI is increasing demand for balanced systems that can move and process more data without sacrificing efficiency. AMD EPYC processors deliver leadership performance, exceptional memory bandwidth and capacity, and high-speed I/O across the broadly deployed x86 platform. Our collaboration with Astera Labs around CXL extends that foundation, giving customers greater flexibility to scale memory-intensive AI and cloud workloads and improve infrastructure utilization.”

    𝗘𝗱𝗱𝗶𝗲 𝗥𝗮𝗺𝗶𝗿𝗲𝘇, Vice President of Go-To-Market, Cloud AI, Arm:

    “As AI infrastructure evolves, agentic AI, reinforcement learning and database workloads are driving demand for higher-capacity memory. Arm and Astera Labs are working together to pair Arm AGI CPU with Leo CXL Smart Memory Controllers, helping customers meet these growing requirements while maintaining scalable performance.”

    𝗦𝗿𝗶𝗻𝗶 𝗞𝗿𝗶𝘀𝗵𝗻𝗮, Fellow at Intel Data Center Group:

    "CXL was created to bring greater flexibility and efficiency to memory across the data center. Technologies like Astera Labs' Leo Smart Memory Controllers help turn that vision into reality, demonstrating how ecosystem innovation can help customers get more out of their AI infrastructure and support the next generation of data-intensive workloads."

    𝗝𝗮𝗻𝗴𝘀𝗲𝗼𝗸 𝗖𝗵𝗼𝗶, Vice President of Product Planning Team at Samsung Electronics:

    "We are contributing to the evolution of AI infrastructure through the development of CXL memory solutions designed to help address the growing memory demands of modern data centers. We are excited to collaborate with Astera Labs to help ensure our DRAM solution offer strong interoperability within the evolving CXL ecosystem, and remain committed to supporting a scalable, high-performance memory architecture for the AI era."

  • N
    NewUser_zS0M8w NBIS 收益率微软股东9月8日 15:19

    OpenAI 声称其最新的 GPT-6 Astra 模型能够执行一系列全新的活动,包括以 98% 的得分解决长期存在的开放数学问题,以及在电气工程领域表现出色。但问题是:这个新前沿模型真的那么令人印象深刻吗?还是营销和宣传夸大了其益处?如果 Astra 6 开始掀起接管电气工程工作和设计的革命,还可能引发伦理方面的担忧。

    C
    Captain's Watch
    精选☕️ [任务币抽奖] 每日市场热议 —— GPT-6 Astra 之后,内存芯片库存降至仅 10 天

    OpenAI 的 GPT-6 Astra 和英伟达 “AGI 已到来” 的时刻,是这场如此猛烈的 AI 算力繁荣最显眼的面孔,它已将全球内存芯片库存推低至仅够 10 天使用的水平。另外...

  • A
    Ally博通股东9月8日 14:13

    芯片短缺已经是一个老生常谈的话题——在我看来,这支撑了最近几个月的人工智能资本支出热潮。

    C
    Captain's Watch
    精选☕️ [任务币抽奖] 每日市场热议 —— GPT-6 Astra 之后,内存芯片库存降至仅 10 天

    OpenAI 的 GPT-6 Astra 和英伟达 “AGI 已到来” 的时刻,是这场如此猛烈的 AI 算力繁荣最显眼的面孔,它已将全球内存芯片库存推低至仅够 10 天使用的水平。另外...