ARM

Arm Holdings Price

Closed
ARM
$149,01
-$0,93(-%0,62)

*Data last updated: 2026-04-12 05:59 (UTC+8)

As of 2026-04-12 05:59, Arm Holdings (ARM) is priced at $149,01, with a total market cap of $158,16B, a P/E ratio of 141,57, and a dividend yield of %0,00. Today, the stock price fluctuated between $147,99 and $159,29. The current price is %0,68 above the day's low and %6,45 below the day's high, with a trading volume of 7,39M. Over the past 52 weeks, ARM has traded between $100,02 to $183,16, and the current price is -%18,64 away from the 52-week high.

ARM Key Stats

Yesterday's Close$149,79
Market Cap$158,16B
Volume7,39M
P/E Ratio141,57
Dividend Yield (TTM)%0,00
Diluted EPS (TTM)0,75
Net Income (FY)$792,00M
Revenue (FY)$4,00B
Earnings Date2026-05-06
EPS Estimate0,58
Revenue Estimate$1,46B
Shares Outstanding1,05B
Beta (1Y)3.338

About ARM

Arm Holdings plc architects, develops, and licenses central processing unit products and related technologies for semiconductor companies and original equipment manufacturers rely on to develop products. It offers microprocessors, systems intellectual property (IPs), graphics processing units, physical IP and associated systems IPs, software, tools, and other related services. Its products are used in various markets, such as automotive, computing infrastructure, consumer technologies, and Internet of things. The company operates in the United States, the People's Republic of China, Taiwan, South Korea, and internationally. The company was founded in 1990 and is headquartered in Cambridge, the United Kingdom. Arm Holdings plc operates as a subsidiary of Kronos II LLC.
SectorTechnology
IndustrySemiconductors
CEORene Anthony Andrada Haas
HeadquartersCambridge,None,GB
Official Websitehttps://www.arm.com
Employees (FY)8,33K
Average Revenue (1Y)$481,03K
Net Income per Employee$95,07K

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Arm Holdings (ARM) Latest News

2026-04-10 06:31

SK Telecom teams up with Arm and Rebellions to develop an AI data center inference solution

Gate News message: On April 10, SK Telecom announced that it has signed a trilateral memorandum of understanding (MOU) with Arm, a UK chip design company, and South Korean AI chip startup Rebellions, to jointly develop AI data center inference server solutions. Under the agreement, the three parties will combine Arm’s newly released AGI CPU and Rebellions’ AI acceleration chip RebelCard, expected to be launched in the third quarter of this year, to jointly develop AI inference servers and to test and validate them at SK Telecom’s AI data center. Among them, the Arm AGI CPU is optimized for high-density inference environments and large-scale AI deployments, while RebelCard is designed specifically for large-scale AI inference.

2026-03-25 08:05

The Safest Middleman in the Chip Industry Takes the Most Dangerous Path

Between 4 billion dollars and 15 billion dollars, what lies between is not a growth curve but a self-revolution in business models. On March 24, Arm announced its first self-developed data center CPU in its 35-year history. Named AGI CPU, this chip features 136 Neoverse V3 cores, TSMC’s 3nm process, 300W TDP, with Meta as the first customer, planning large-scale deployment within the year. Also announced were collaborations with OpenAI, Cerebras, Cloudflare, SAP, and SK Telecom. Arm CEO Rene Haas provided a set of target figures at the launch, stating that the chip business aims to reach $15 billion in annual revenue by 2031, with the entire company’s total revenue at $25 billion and earnings per share of $9. What does this mean? Arm’s total revenue for FY2025 (ending March 2025) is $4.007 billion, according to Arm’s annual report, with licensing income of $1.839 billion and royalty income of $2.168 billion, and a gross margin of 97%. In other words, a company with $4 billion in annual revenue is expected to grow nearly to the scale of Intel’s entire data center division within five years based on a new business. According to Intel’s Q4 2024 financial report, Intel’s Data Center and AI (DCAI) division will generate $12.8 billion in revenue for 2024. ![](https://img-cdn.gateio.im/social/moments-b28ad97cef-f349f58fa5-8b7abd-ceda62) From $4 billion to $15 billion, a 3.7x leap, behind which is Arm’s attempt to transform from a pure IP licensing company into a hybrid that sells both design blueprints and finished products. This has no precedent in the chip industry. Why is Arm taking this risk? The answer lies in its customer list. Over the past three years, Arm’s largest data center clients have been doing the same thing. According to publicly available data from AWS, Amazon has migrated over 50% of its EC2 compute capacity to its self-developed Graviton chips, with the latest Graviton5 reaching 192 cores. Google Cloud disclosed that its Axion chips have migrated over 30,000 internal applications, improving efficiency by 80%. Microsoft’s Cobalt 200, based on Arm Neoverse architecture, uses TSMC’s 3nm process and has 132 cores. ![](https://img-cdn.gateio.im/social/moments-c5de4f78e1-d55712aa2b-8b7abd-ceda62) These cloud providers are using Arm architecture licenses, but the chips are designed, fabricated, and deployed by themselves. Arm earns licensing fees and royalties, not chip profits. As more computing power is absorbed by these self-developed chips, Arm’s revenue ceiling in data centers becomes increasingly clear. Looking at Arm’s revenue structure over the past four years, the outline of this ceiling becomes more concrete. According to Arm’s financial reports, from FY2022 to FY2025, the company’s total revenue grew from $2.7 billion to $4 billion, with an average annual growth of about 14%. Royalties increased from $1.562 billion to $2.168 billion, and licensing income from $1.141 billion to $1.839 billion. The growth rate of royalties has slowed to around 20%, largely driven by upgrades to the mobile Armv9 architecture, not data center developments. ![](https://img-cdn.gateio.im/social/moments-bc18c9e7b5-cd622fbbbf-8b7abd-ceda62) Extrapolating this growth rate, even if licensing and royalty income grow about 20% annually, the total would reach only around $10 billion by 2031. The remaining $15 billion must come from a new business that doesn’t yet exist today. This is the arithmetic behind Arm’s decision to build its own chips. Choosing to develop chips in-house essentially means competing with its own customers. A company that sells blueprints starts building its own buildings, while its blueprint buyers have been constructing for years. This is the real background of the 136-core AGI CPU. According to The Register, this chip has a base frequency of 3.2 GHz, up to 3.7 GHz, 12 DDR5 memory channels, 6 GB/s bandwidth per core, 96 PCIe 6.0 lanes, and supports CXL 3.0. Arm positions it as “the computing foundation for the agentic AI cloud era,” focusing on CPU-side task scheduling and data flow management in AI inference, not directly competing with GPUs. The pace of market share change also tells the story. According to Omdia, by 2025, Arm-based servers will account for about 21% of global shipments, with a 70% growth rate. But within hyperscale data centers, this share is already close to 50%. The 40-year monopoly of x86 isn’t collapsing but being replaced chip by chip. The risk of Arm’s self-developed chips isn’t technological but relational. Meta’s willingness to be the first customer is partly because Meta itself lacks a mature in-house chip project like Amazon or Google. But how will Amazon, Google, and Microsoft view this? If a supplier starts competing for your business, will you still entrust it with your most core architecture licensing? Arm’s gamble is that the overall growth of the data center market outpaces the deterioration of customer relationships. Rene Haas clearly believes that the incremental demand for CPUs in the AI era is large enough for self-developed chips and architecture licensing to coexist. The $15 billion target is a pricing of this judgment. Selling blueprints for 35 years, now building its own buildings for the first time. The blueprints are still being sold, and the buildings are being constructed—only whether they can fit on the same land remains to be seen. Click to learn more about Rhythm BlockBeats job openings. **Join the Rhythm BlockBeats official community:** Telegram Subscription Group: https://t.me/theblockbeats Telegram Group Chat: https://t.me/BlockBeats_App Twitter Official Account: https://twitter.com/BlockBeatsAsia

2026-03-25 00:16

OpenAI Foundation Plans to Invest $1 Billion in 2026, Focusing on AI Risk Prevention and Life Sciences

Gate News Report, March 25 — OpenAI plans to invest $1 billion this year through its nonprofit arm, the OpenAI Foundation, in various artificial intelligence-related initiatives. The OpenAI Foundation intends to focus its 2026 expenditures on helping society mitigate potential AI risks and funding efforts that leverage AI to advance life sciences. The foundation will invest through external grants and projects and has hired key figures such as Wojciech Zaremba and Jacob Trefethen to lead this nonprofit organization.

2026-03-06 12:01

Payment technology company Silverflow completes $40 million Series B funding

Gate News: On March 6, payment technology company Silverflow announced the completion of a $40 million Series B funding round led by Picus Capital, with participation from Rabobank's investment arm Rabo Investments, Inkef, Crane, Coatue, and GPT. The company's platform offers cloud-native payment processing solutions supporting digital token payments, card payments, and more.

Hot Posts About Arm Holdings (ARM)

NotSatoshi

NotSatoshi

9 hours ago
So I've been watching Bhutan's bitcoin movements pretty closely, and something interesting is happening. Their state investment arm just moved another 175 BTC worth about $11.85 million a few days ago, and it's part of a much larger pattern of steady liquidation happening throughout 2026. According to Arkham's data, they've already sold around $42.5 million worth of BTC and USDT just in the first few months of this year. What caught my attention is how methodical this all looks. Back in February alone, they moved roughly $30.7 million through a series of transfers - some going to the same wallet address repeatedly, others to QCP Capital's merchant deposit addresses. Then this week another $11.85 million out. It's not chaotic, it's not panic selling. It looks like someone executing a planned treasury drawdown with consistent counterparties. The bigger picture is pretty wild though. Bhutan's bitcoin stack hit around 13,000 BTC back in late 2024 - they'd been accumulating for years through hydroelectric mining, basically getting free coins with their surplus power. Now they're down to about 5,400 BTC. That's a 58% reduction in actual coins. Combined with how much the physical bitcoin value has dropped since that peak, their total position went from something like $1.5 billion down to around $374 million today. Here's what makes this interesting from a profit perspective: because Bhutan mined these coins with surplus hydropower, their cost basis is essentially zero. Unlike companies that bought BTC at market prices and have to worry about break-even points, every single transfer Bhutan makes is pure profit. There's no pressure selling happening here - it's just a government efficiently managing its digital reserves. The Arkham charts show the full story. Slow buildup starting in early 2021, steady accumulation through the bear market, then that ramp up to 13,000 BTC by late 2024. After October 2024 it got steep and hasn't really let up. The consistency of where these coins are going - same wallet addresses, similar transfer sizes, no obvious correlation to price movements - all of that suggests planned management rather than someone getting spooked. Interestingly, this comes after Bhutan announced back in December that they were committing up to 10,000 BTC to back a new economic zone called Gelephu Mindfulness City. So alongside the liquidation, they're also thinking about how to use digital assets as financial reserves for their development projects. The transfers to QCP Capital are worth noting too - hitting a trading firm's deposit address twice in one month with 200 BTC suggests structured OTC selling or some kind of liquidity management deal, not just moving coins between cold storage wallets. It's the kind of activity you'd expect from someone who knows exactly what they're doing with their treasury.
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ZenZKPlayer

ZenZKPlayer

13 hours ago
Just came across something fascinating in the newly released OpenAI documents. Turns out Elon Musk actually backed a $10 billion ICO plan for OpenAI back in January 2018. Pretty wild when you think about it. So here's what went down. During the peak of the 2017-18 ICO craze, OpenAI's founders and Musk were seriously discussing launching a token-based for-profit arm to fund the nonprofit's mission. The internal notes show Musk initially agreed this was the move. They were talking about the mechanics, the structure, all of it. But then something shifted. By the end of that same month, Musk had completely walked away from the idea. According to the documents, he concluded OpenAI wouldn't be able to raise enough capital through an ICO and decided to focus his energy on AI work at Tesla instead. What's interesting is how this moment captures the height of crypto enthusiasm among mainstream tech figures. ICOs were everywhere in 2017-18, and even someone like Musk—who later became known for his complicated relationship with crypto—was seriously considering it as a funding mechanism. The regulatory environment was murky, investor appetite was insane, and token sales seemed like the future. Musk ended up leaving OpenAI later that year anyway. His departure and the abandoned ICO plan basically shaped the organization structure we see today, this hybrid model combining a public benefit corporation with a controlling nonprofit. Pretty different path than what could have happened. It's a good reminder of how quickly things shift in crypto and tech. What seemed inevitable in 2018 became completely outdated within a few years. Makes you think about what narratives we're chasing right now that might look equally strange in hindsight. Interesting stuff to keep in mind when evaluating current blockchain and AI projects.
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