Key Stats for Arm Holdings Stock
- Current Price: $208.84
- Target Price (Mid): ~$599
- Street Target (Mean): $173.09
- Potential Total Return: ~187%
- Annualized IRR: ~31% / year
- Earnings Reaction (Q3 FY26, reported 2/4/26): +5.70%
- Max Drawdown: (41.47%) on 2/3/26
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What Happened?
Arm Holdings (ARM) surged 16% in a single session on March 25, 2026, after announcing it would sell its first in-house chip in over three decades of existence. Bulls called it the start of a $100 billion market opportunity. Bears called it an untested manufacturing pivot from a company that has never produced silicon at scale. That debate is still running, and today, as ARM reports Q4 FY2026 earnings after market close, the stakes are unusually high.
ARM trades at around 108x forward earnings, a multiple that demands a clear growth path. The TIKR mid-case valuation model points to a target price of around $599 by 3/31/30, implying a potential total return of around 187% and an annualized return of around 31% per year from today’s price of $208.84. Whether the model’s assumptions hold depends almost entirely on whether the AGI CPU delivers.
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The Chip That Changes ARM’s Business Model
For 35 years, ARM designed chip architectures, licensed those blueprints to partners, and collected royalties every time a chip shipped. It never touched physical silicon. That model produced LTM gross margins of 97.5% and LTM revenues of $4,671 million as of 3/31/26, according to TIKR data.
The Arm AGI CPU changes that permanently. Unveiled on March 24, 2026, at the Arm Everywhere event in San Francisco, it is ARM’s first production-ready chip sold directly to customers for revenue. CEO Rene Haas was direct: “We are now in a new business for Arm, and we are supplying CPUs as chips.”
The reason ARM built it is a data center bottleneck that Haas described at the event. Traditional AI data centers require roughly 30 million CPU cores per gigawatt of capacity. As agentic AI AI systems that run continuous, autonomous workflows around the clock scales up, that demand rises to around 120 million cores per gigawatt. GPUs generate the AI outputs, but CPUs handle everything else: scheduling, memory routing, and agent coordination. As Haas put it: “The CPUs are the pieces of equipment that move that dirt.”
Mohamed Awad, ARM’s EVP and Head of Cloud AI, detailed the chip’s design: 136 Neoverse V3 cores on TSMC’s 3nm process, a 300-watt thermal envelope, 96 lanes of PCIe Gen 6 with CXL 3 connectivity, and up to 6 gigabytes per second of sustained memory bandwidth per core. In standard air-cooled OCP racks, the AGI CPU delivers more than 2x throughput per rack versus x86 at the same power draw, per ARM’s own benchmarks. Volume production is expected by year-end.
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The Customers Behind It
The AGI CPU would carry little weight without the names behind it. Meta is the co-development partner and lead customer. Santosh Janardhan, who leads infrastructure at Meta, appeared on stage at the event and described the origin of the partnership: Meta surveyed the market two years ago for a processor that could meet both performance and power efficiency demands at hyperscale. “If we met the performance, we couldn’t get the power. If we got the power, we couldn’t get the performance.” That gap led to the two-year co-development effort.
Meta’s commitment is generational. Janardhan described the company’s ambition to serve over 3 billion daily active users with what he called “personal super intelligence,” a compute demand that already involves clusters exceeding 1 gigawatt, with a 5-gigawatt facility called Hyperion under construction. At that scale, CPU efficiency is a cost and capacity imperative, not a preference.
OpenAI’s Chief Product Officer, Kevin Weil, also appeared. His framing of the CPU’s role was concise: “AI performance these days is system performance.” As agentic AI handles harder, multi-step tasks, running code, executing scripts, and coordinating tools, the compute load shifts decisively to CPUs. More efficient CPUs mean more intelligence per watt.
Beyond Meta and OpenAI, ARM confirmed early commitments from Cloudflare, SAP, Cerebras, SK Telecom, and F5, alongside over 50 ecosystem partners, including NVIDIA, Google Cloud, Microsoft Azure, AWS, and TSMC. The chip is in customers’ hands. It is not a prototype.
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The Financial Picture
At the Arm Everywhere event, Haas projected a $100 billion total addressable market for agentic AI CPUs over time, up from roughly $3 billion today in royalty terms. He projected $25 billion in total FY2031 revenue, $9 in EPS, and $15 billion in AGI CPU revenue specifically. These are management projections, not TIKR model outputs, and should be treated as targets, not forecasts.
Citi analysts, as reported by CNBC, described the launch as the most significant shift in ARM’s history and said the revenue targets exceeded even the most optimistic pre-announcement estimates.
From TIKR data, ARM’s LTM EBIT margin stands at 18.8% and LTM gross margin at 97.5% as of 3/31/26. The forward two-year revenue CAGR per TIKR is around 22%. ARM’s FY2025 royalty revenue was $2,168 million, and license revenue was $1,839 million.
On valuation multiples, ARM trades at an NTM EV/EBITDA of 86.50x versus Intel at 27.87x and NXP Semiconductors at 14.16x, per TIKR’s Competitors page. That premium reflects ARM’s IP licensing economics and its higher growth rate. Whether it also reflects successful AGI CPU commercialization is the debate the market is running in real time.
Wall Street is split. The Street mean target is $173.09, well below today’s price of $208.84. Twenty analysts rate ARM a Buy, seven Outperform, ten Hold, one Underperform, and one Sell. The earnings surprises and revisions trend has been positive. ARM beat adjusted EPS estimates in each of the last four quarters per TIKR’s Beats & Misses page.
TIKR Advanced Model Analysis
- Current Price: $208.84
- Target Price (Mid): ~$599
- Potential Total Return: ~187%
- Annualized IRR: ~31% / year
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This article uses the TIKR mid-case scenario, realized at 3/31/30. The two revenue drivers are royalty rate expansion as AI chips command higher per-unit fees and commercial AGI CPU adoption, which will contribute materially from 2028. The margin driver is operating leverage. ARM’s cost base scales slowly relative to royalty revenue, supporting net income margins of around 45% in the mid-case.
The upside scenario: if Meta, OpenAI, and the broader partner base deploy AGI CPUs faster than expected, ARM’s revenue trajectory could exceed the mid-case. The downside scenario: at around 108x forward earnings, any sign that AGI CPU adoption lags, that x86 responds competitively, or that manufacturing margins disappoint could compress the multiple sharply. ARM’s 41.47% drawdown to its low on 2/3/26 is a reminder of how quickly sentiment can reverse.
Conclusion
The metric to watch in today’s Q4 FY2026 earnings (after market close, May 6, 2026) is royalty revenue and any guidance on AI-specific royalty rates or early AGI CPU commitments in dollar terms. FY2025 royalty revenue was $2,168 million. Any update on that trajectory or a specific commercial commitment figure tied to the AGI CPU will signal whether management’s $25 billion FY2031 revenue target is ahead of schedule or behind it.
Arm Holdings just crossed a threshold it has not crossed in 35 years: it now makes chips, not just designs them.
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Should You Invest in Arm Holdings?
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Pull up Arm Holdings, and you’ll see years of historical financials, what Wall Street analysts expect for revenue and earnings in the quarters ahead, how valuation multiples have moved over time, and whether price targets are trending up or down.
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Disclaimer:
Please note that the articles on TIKR are not intended to serve as investment or financial advice from TIKR or our content team, nor are they recommendations to buy or sell any stocks. We create our content based on TIKR Terminal’s investment data and analysts’ estimates. Our analysis might not include recent company news or important updates. TIKR has no position in any stocks mentioned. Thank you for reading, and happy investing!
