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Arm Holdings (ARM -8.02%) has more than doubled year to date and sits at a market cap above $300 billion. There's still a big gap between its current valuation and the $1 trillion milestone, but AI tailwinds could potentially push the stock to this benchmark within a few years.

A vast intellectual property (IP) portfolio tied directly to AI infrastructure and surging demand for central processing units (CPUs) has propelled the stock, and these catalysts could extend the rally.

Image source: Getty Images.

The IP portfolio provides high-margin recurring revenue Almost all of Arm's revenue comes from its IP portfolio. The company designs key components for smartphones, laptops, AI data centers, 5G, and other high-demand applications. Artificial intelligence has been the major revenue driver recently.

Overall revenue reached $4.92 billion in its fiscal 2026, which was up by 23% year over year. It represented the company's third consecutive fiscal year of more than 20% revenue growth.

Arm makes royalties from various tech giants that are selling AI chips, including Nvidia (NVDA -1.51%). Companies will pay Arm for its intellectual property so they can produce high-demand products.

Arm's business model resembles a LEGO instruction booklet. Without that booklet, you can't build the LEGO displayed on the box. Since the instruction booklet covers products critical to AI infrastructure and consumer devices, Arm can charge a high premium to companies that want to use it legally.

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CPU demand is heating up Although Arm has made almost all of its revenue from licenses and royalties, the company recently said it would enter the hardware industry and create its own CPUs.

The company's vast intellectual property has established it as a leader in the industry. That will make it easier for Arm to penetrate the CPU industry with its own hardware. Arm made this announcement in March and already has more than $2 billion of customer demand across fiscal 2027 and fiscal 2028.

Arm expects data centers to become the largest part of its business. Licensing and royalty fees will continue to operate in the background, but CPUs are expected to be the major catalyst for future years.

In that case, Arm Holdings has a real shot at becoming a $1 trillion company within a few years. The demand for agentic AI certainly works in the company's favor, since AI agents need more CPUs. That has shifted the CPU-to-GPU ratio in favor of CPUs.

Currently, the CPU-to-GPU ratio is between 1:4 and 1:8, according to TrendForce. That means a data center usually has four to eight GPUs for each CPU. The future ratio is expected to shift closer to 1:1 or 1:2.

That means CPU demand can quickly quadruple. Arm is well-positioned to ride that momentum.  If it does, and the stock follows suit, Arm would be worth more than $1 trillion before 2030. It's a tall order for a stock already priced at 60x trailing sales, but still a plausible growth story.

Arm Holdings (ARM) gained another sign of momentum in the AI race after IDC reported that Arm-based rack-scale GPU servers have overtaken x86 systems as the lea

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Arm’s run in 2026 has been one of the sharpest re-ratings in large-cap tech. Shares of Arm Holdings (NASDAQ:ARM | ARM Price Prediction) trade at $271.49 as of July 20, 2026, up 144.43% year to date on the back of a data center royalty explosion and the launch of Arm’s first production silicon.

Our 24/7 Wall St. price target for Arm is $301.87, implying 11.19% upside over the next twelve months. The action is buy, with a confidence level of 90%.

24/7 Wall St. Price Target Summary Metric Value Current Price $271.49 24/7 Wall St. Price Target $301.87 Upside 11.19% Recommendation BUY Confidence Level 90% A Volatile Path to a 144% YTD Gain Arm bottomed near $105.78 in January before ripping to a June high of $396.34 and pulling back to today’s level. The stock is off 17.38% over the past week and 36.21% over the past month, sitting 33% below its 52-week high of $452.70.

In Q4 FY2026, Arm posted revenue of $1.49 billion, up 20.06% year over year, with non-GAAP EPS of $0.60 beating the $0.5793 consensus. License revenue jumped 29% and data center royalty revenue more than doubled year over year. Full-year FY2026 revenue reached $4.92 billion, up 22.79%, a third straight year above 20% growth.

Why Bulls See Arm Following Nvidia’s Playbook The bull case rests on more than $2 billion in customer demand for the Arm AGI CPU across FY27 and FY28. Meta is the lead partner on a multi-generation roadmap targeting 3+ billion users.

Google is replacing x86 host processors with custom Arm-based Axion CPUs in next-gen TPUs. NVIDIA announced Vera, its next Arm-based CPU. Microsoft is expanding Cobalt across Azure. Arm claims roughly 50% CPU compute share among top hyperscalers.

Management is tracking toward a $15 billion silicon business forecast against a data center CPU market that could exceed $100 billion by 2030. If the AGI CPU ramp materializes, the bull-case scenario points to $434.24 within twelve months, a 59.95% return.

What Could Go Wrong Valuation is the biggest hurdle. Arm trades at a trailing P/E of 311 and a forward P/E of 122. Non-GAAP operating margin compressed from 52.8% to 49.1% as R&D spending jumped 43% to $1.911 billion. Bulls note this reflects deliberate investment in AGI CPU engineering that should scale as royalties ramp.

The Qualcomm/Nuvia trial expected in Q4 calendar 2026, SoftBank’s controlling stake, and export-control risk all weigh. The bear scenario points to $238.31, a 12.22% drawdown.

Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks — and Arm didn't make the cut. Grab the names FREE today.

How Arm Compares to Nvidia and Broadcom NVIDIA (NASDAQ:NVDA) trades at $202.81 with a YTD gain of just 8.88%, versus Arm’s 144%. Arm trails Nvidia in scale, yet its royalty model captures a slice of every hyperscaler’s custom silicon roadmap, including Nvidia’s own Vera CPU. That relationship makes our target look conservative if Arm’s per-chip take rate expands.

Broadcom (NASDAQ:AVGO) is the sharper comp on custom AI silicon economics. It posted Q2 FY2026 AI semiconductor revenue of $10.8 billion, up 143% YoY, and guided Q3 AI revenue to $16 billion.

Broadcom already runs a hyperscaler custom silicon business at scale, exactly where Arm is heading. Arm’s $271 price implies investors are willing to pay for the same trajectory earlier, making our 11% upside target measured rather than aggressive.

What Would Confirm or Break the Thesis The 24/7 Wall St. price target of $301.87 with 90% confidence backs a buy. The tipping factor is the AGI CPU demand book: $2 billion locked in across FY27-FY28 represents concrete, contracted demand.

The setup looks constructive if Q1 FY27 lands inside guidance and data center royalty growth stays north of 50%. The thesis weakens if operating margins slip below 45% or the Qualcomm/Nuvia trial produces a materially adverse ruling.

Extending the 24/7 Wall St. price target model forward and blending base and bull-case trajectories, here is where Arm could trade if the AGI CPU roadmap executes.

Year 24/7 Wall St. Price Target 2026 $301.87 2027 $335 2028 $360 2029 $378 2030 $395.91 These projections assume Arm executes on the $15 billion silicon business forecast and holds hyperscaler CPU share near 50%. Significant upside is possible if agentic AI CPU demand outpaces the 4x-per-gigawatt baseline, and downside if licensing disputes or export controls disrupt the royalty ramp.

Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks — and Arm didn't make the cut. Grab the names FREE today.

Contact [email protected] for any questions or corrections.

Arm Holdings PLC (NASDAQ:ARM)'s long-term growth outlook is improving as rising demand for artificial intelligence workloads drives increased need for CPUs, according to Jefferies, which raised its price target on the semiconductor designer to $320 from $290.

The company’s shares are up almost 150% so far this year, trading hands at $272 on Monday afternoon.

Jefferies wrote that Arm’s AI-related CPU opportunity has expanded following the company’s fiscal 2026 results, driven by growing demand from agentic AI applications and new customer additions including Oracle and ByteDance. The firm now expects Arm’s AI CPU revenue to reach $18 billion in fiscal 2031, above the company’s guidance of $15 billion.

The analyst firm noted that the total addressable market for CPUs could reach $200 billion by 2030, up from an earlier estimate of more than $100 billion. Jefferies expects Arm’s AI CPUs to capture at least a 15% share of that market, with Meta projected to become the company’s largest customer, followed by OpenAI, Oracle and ByteDance.

Jefferies also raised its estimates for AI CPU revenue in fiscal 2028 and fiscal 2029, forecasting $1.5 billion and $3 billion, respectively, compared with previous estimates of $1.4 billion and $2.7 billion. The firm wrote that Arm could increase production capacity through higher-cost wafer supply options, which may weigh on gross margins but help the company secure market share.

The firm highlighted data centre as another area of potential growth, with royalty revenue expected to benefit from increasing adoption of Arm-based infrastructure. Jefferies noted that Arm’s compute subsystem-based royalties have increased to $1.50 per core from $1 previously.

Jefferies also pointed to a potential AI accelerator launch from SoftBank using Arm’s design services as a potential future royalty opportunity. The firm wrote that royalties from such products could exceed $7,000 per chip given the high average selling prices of GPUs, although volumes remain difficult to predict.

The firm expects Arm’s revenue and earnings to grow at more than 40% annually through fiscal 2031, with Jefferies forecasting a five-year earnings per share compound annual growth rate of 45%. Jefferies wrote that the company’s growth visibility and exposure to AI-driven CPU demand could support outperformance relative to the broader semiconductor sector.

The revised price target is based on a fiscal 2031 price-to-earnings multiple of 29 times, with Jefferies also citing discounted cash flow analysis as support for its valuation.

Greatland Resources Ltd (AIM:GGP, OTC:GRLGF, FRA:G8G, ASX:GGP) will release its Quarterly Activities Report for the June 2026 quarter on Wednesday, July 29, 2026.

The company will host a webcast for shareholders, research analysts, media and other interested stakeholders at 8:30am AWST / 10:30am AEST on the same day, followed by a question-and-answer session.

Participants can register for the June 2026 quarter webcast using the link below:

https://webcast.openbriefing.com/ggp-qtr4-2026/

Attendees are encouraged to log in at least five minutes before the scheduled start time to complete registration. A recording of the presentation will be available through the same link following the webcast.

Greatland Resources beats FY26 gold guidance and lifts cash to US$1.29 billion Greatland will no doubt cover how it exceeded the top end of its full-year gold production guidance after a strong June quarter, while building its cash balance to almost US$1.3 billion with no debt.

The miner produced 79,099 ounces of gold and 3,573 tonnes of copper in the three months to June 30, 2026, taking FY26 output to 328,986 ounces of gold and 14,594 tonnes of copper.

Full-year gold production finished 6% above the upper end of Greatland’s guidance range.

Quarterly sales totalled 74,648 ounces of gold and 3,531 tonnes of copper, bringing full-year sales to 326,859 ounces of gold and 14,729 tonnes of copper.

Greatland ended June with US$1.29 billion in cash, up from US$1.21 billion at the end of March. The US$81 million quarterly cash build came after capital expenditure and US$87 million in tax instalments.

A further US$20 million of sales were completed in late June, with the proceeds received after quarter-end.

The company said all-in sustaining cost figures were still being finalised and would be included in its full June 2026 quarterly activities report later this month.

Recce Pharmaceuticals Ltd (ASX:RCE, OTC:RECEF) earlier this week strengthened its intellectual property position in Southeast Asia after securing a Vietnamese patent covering the manufacture and use of its RECCE® 327 and RECCE® 529 synthetic anti-infective candidates.

The Family 4 patent, granted by the Intellectual Property Office of Vietnam, provides protection until 2041 and represents the eighth patent secured by the company within this patent family.

Chief executive James Graham said the award was significant because it extended Recce Pharmaceuticals’ potential market monopoly in Vietnam to 2041. He explained that the claims covered the preparation and manufacture of R327 and R529, as well as their use against bacterial, viral and other infectious diseases.

Graham described the patent as “broad” and “all-encompassing”, with potential applications including acute bacterial skin and skin structure infections, diabetic foot ulcer infections and burn wound infections.

Vietnam was strategically important because it formed part of the ASEAN group of countries, Graham said. He pointed to the prevalence of diabetes in the region and the associated risk of infected diabetic foot ulcers, while also highlighting high levels of resistance to existing antibiotics and the absence of an established standard of care in some markets.

The company’s Indonesian Phase 3 program represented one of the most important near-term catalysts. Graham said Recce Pharmaceuticals remained on track for potential approval in Indonesia later in the year, with sales targeted for the following year. He added that an Indonesian approval could support broader access across ASEAN, including Vietnam.

A second Phase 3 study was being conducted across Australian teaching hospitals. Graham said this program was being run to US Food and Drug Administration standards and under an FDA-aligned protocol, with a submission targeted for the end of the following year.

Licensing activity provided another potential catalyst. Recce Pharmaceuticals had announced a term sheet with a leading Middle Eastern pharmaceutical company covering approximately 11 countries and a proposed 10-year licence.

Graham said the arrangement was targeting net royalties of between 30% and 36%, based on a US$1,500 selling price. He said the company was actively working to convert the term sheet into a definitive agreement.

The company’s recently raised funds were expected to support its clinical, regulatory and licensing activities. Investors are likely to focus on upcoming Phase 3 data, the anticipated Indonesian regulatory decision, progress on the Middle Eastern licence and further expansion of Recce Pharmaceuticals’ global patent portfolio.

Interview highlights Recce Pharmaceuticals secured a Vietnamese Family 4 patent covering the manufacture and use of RECCE® 327 and RECCE® 529. The patent extends protection in Vietnam until 2041 and is the eighth granted patent within the Family 4 portfolio. The claims cover bacterial, viral and other infectious diseases, including acute bacterial skin infections, diabetic foot ulcer infections and burn wound infections. James Graham identified Vietnam as strategically important because it is part of ASEAN and has a significant diabetes-related disease burden. The company is progressing two Phase 3 studies focused on diabetic foot ulcer infections, including programs in Indonesia and Australia. Recce Pharmaceuticals expects the Indonesian program to support an anticipated approval pathway and future sales across ASEAN markets. The Australian study is being conducted across teaching hospitals to standards intended to support a future US FDA submission. The company is also progressing a Middle Eastern licensing opportunity covering about 11 countries under a proposed 10-year agreement. Graham said the proposed licence could deliver net royalties of between 30% and 36%, based on a US$1,500 selling price. Near-term catalysts include Phase 3 clinical data, potential Indonesian approval, progress towards a definitive Middle Eastern licensing agreement and further regulatory activity.

Proactive: Recce Pharmaceuticals has strengthened its intellectual property position in Southeast Asia after securing a Vietnamese patent covering its RECCE® 327 and RECCE® 529 anti-infective candidates. Here to discuss the patent and the Vietnamese market is CEO James Graham. James, good to see you again.

James Graham: Hi, Jonathan. Good to be with you.

Proactive: Let’s talk about the Vietnamese patent first. Talk us through how it came about and why this protection is important for the candidates.

James Graham: It is very significant because it takes our market monopolies out to 2041. Furthermore, the patent claims on which these monopolies are based cover the preparation, or method of manufacture, of our compounds.

That includes RECCE 327 for bacterial infections and RECCE 529 for viral infections. It covers topical infections, including acute bacterial skin and skin structure infections, diabetic foot ulcer infections, where we have two Phase 3 programs at the moment, potential first standard-of-care treatment for burn wound infections, and beyond.

It is a broad, all-encompassing patent and is wholly owned intellectual property.

Proactive: Talk us through Vietnam. Why is it a strategically important market for Recce Pharmaceuticals?

James Graham: Vietnam, as a member of the ASEAN group of countries, is a very important market for us.

Firstly, the prevalence of diabetes runs at about 12% in that region. Of those who have diabetes, around 60% will develop a diabetic foot ulcer in their lifetime, and about 80% of those ulcers become infected.

Penicillin, by way of example, was invented in Australia nearly 100 years ago. Next year will mark its centenary. It has a resistance rate of about 75%, so the resistance profile is enormous.

Furthermore, there is no standard of care in the region. We have a Phase 3 study currently running in Indonesia. If approved in Indonesia, as we are on track to achieve later this year, with sales targeted for next year, that approval would support access across the ASEAN group of countries, including Vietnam.

We therefore have a strong intellectual property position, the potential for a first standard of care and the first new antibiotic in more than 40 years.

Proactive: You have been building that patent protection over the past couple of years, and we have discussed several of those patents. How does this latest approval strengthen the broader global patent portfolio and support future commercialisation opportunities?

James Graham: We have five patent families, perhaps even six depending on our recent patent application.

In this case, it is our Family 4 patent. We have had eight patents granted in that family over the recent year or small number of years.

This particular family is broad, covering the method of manufacture, preventative claims, curative claims, viral infections and bacterial infections.

It takes our market monopolies out to 2041, providing a strong market monopoly and an extended timeframe. It is also complementary to the more than 40 patents already granted around the technology.

Proactive: James, Recce Pharmaceuticals recently raised funds, and there is also a share purchase plan underway. How will those funds be deployed across clinical, regulatory and licensing activities?

James Graham: The key phrase there is licensing activities.

We announced a term sheet with a leading Middle Eastern pharmaceutical company. The prevalence of diabetes in the Middle East is more than 30%, at around 35%.

As mentioned, of those who have diabetes, around 60% will develop a diabetic foot ulcer.

The term sheet covers approximately 11 countries and a 10-year licence. It is targeting net royalties to Recce Pharmaceuticals of between 30% and 36%, based on a selling price of US$1,500.

It represents a good market opportunity and significant market coverage. We look forward to progressing it into a definitive agreement, which we are actively working on at this time.

The funds are being used to support that process.

Proactive: There is clearly a lot to look forward to. What will be happening over the next few months?

James Graham: Clinical data will be the primary focus. We have two Phase 3 studies underway.

As mentioned, one is in Indonesia because of the prevalence within the patient population and the potential for data harmonisation across ASEAN and the Middle East.

We expect that product to be approved at the end of this year, with sales targeted for next year and beyond.

In Australia, the same study is running across multiple Australian teaching hospitals. That study is focused on the US Food and Drug Administration. It is being conducted to FDA standards and under an FDA-aligned protocol.

We would expect to submit that program for approval at the end of next year.

These are two market strategies, both focused on the unmet medical need associated with diabetic foot ulcer infections.

Proactive: There is plenty to look forward to, and we will catch up again as it all unfolds. Thanks for your time today.

James Graham: Thanks, Jonathan.

The artificial intelligence boom is being held back by what the industry cannot build rather than what customers will not buy, according to Rene Haas, chief executive of Arm Holdings PLC (NASDAQ:ARM), the chip designer.

Haas told CNBC that demand for chips, data centres, energy and skilled workers is running ahead of available capacity, creating a bottleneck he expects to persist for the next two to three years.

He was speaking in an interview at the Pennsylvania Defense and Innovation Summit, hosted by Senator Dave McCormick.

ARM designs the chip architectures that other companies license and manufacture, a position that gives it an unusually wide view of who is trying to build what.

Haas said the company expects its data-centre business to become its largest segment "very soon", overtaking the mobile phone market that built it.

That claim is the more interesting half of the interview.

ARM's designs dominate smartphones, where power efficiency is everything, and the same constraint now governs data centres, where the binding limit is increasingly electricity rather than silicon.

The supply-constrained framing also cuts against the bubble argument that has unsettled markets in recent months.

A bubble is a demand problem in which buyers pay for something they do not need.

A shortage is the opposite, and Haas is describing customers who cannot get what they are already willing to pay for.

Shares fell 5% on the session, an awkward backdrop for a chief executive describing demand as robust.

One reading is that investors are less worried about whether the demand exists than about who captures the value if the bottlenecks are physical, since power stations and skilled engineers are not things a design company can conjure.

Key Takeaways ARM is benefiting from the wider adoption of Armv9 and Compute Subsystems.Arm's royalty business remains durable, with nearly half of revenue from products launched over a decade ago.ARM is broadening its AI strategy with the Arm AGI CPU to expand beyond traditional licensing. Arm Holdings (ARM - Free Report) is well-positioned to benefit from the next phase of AI adoption as customers increasingly require more advanced chip architectures. While the company's licensing and royalty model has long been a competitive advantage, the opportunity is expanding as customers adopt Armv9 and Compute Subsystems (CSS).

More sophisticated designs enable ARM to capture greater value from every chip shipped through higher royalty rates and deeper customer integration. The company's royalty stream is also highly durable, with nearly half of current royalty revenue still generated by products introduced more than a decade ago.

Looking ahead, the introduction of the Arm AGI CPU further broadens monetization opportunities by enabling ARM to participate more directly in cloud AI infrastructure rather than relying solely on intellectual property licensing.

Arm vs. Semiconductor IP PeersCompared with semiconductor IP peers Synopsys (SNPS - Free Report) and Cadence Design Systems (CDNS - Free Report) , ARM is uniquely positioned to benefit from rising AI compute demand through multiple revenue streams. While Synopsys and Cadence Design Systems primarily generate software and design-automation revenue, ARM participates in licensing, recurring royalties, and, increasingly, higher-value AI compute solutions.

As AI workloads become more complex, Synopsys, Cadence Design Systems and ARM are all expected to benefit from semiconductor innovation. However, ARM's expanding royalty economics, growing adoption of CSS, and entry into AI-focused processors provide growth avenues that differentiate it from Synopsys and Cadence Design Systems, strengthening its long-term competitive position.

ARM’s Price Performance, Valuation and EstimatesThe stock has surged a massive 153% year to date, significantly underperforming the industry’s 44% rally.

                           Image Source: Zacks Investment Research

From a valuation standpoint, ARM trades at a forward price-to-sales ratio of 44.93X, well above the industry’s 8.84X. It carries a Value Score of F.

Image Source: Zacks Investment Research

The Zacks Consensus Estimate for the company’s fiscal 2027 earnings has declined over the past 30 days.

ARM currently carries a Zacks Rank #3 (Hold). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.

The decline came despite mixed analyst commentary, with HSBC turning more cautious even as KeyBanc became more bullish on Arm’s long-term growth prospects.

HSBC Flags Valuation RisksHSBC analyst Frank Lee downgraded Arm to Hold from Buy while raising his price forecast to $315 from $255. The analyst said enthusiasm surrounding Arm’s expanding role in CPUs has pushed the stock well ahead of fundamentals.

While Lee acknowledged the company’s long-term growth opportunity, he argued that much of that upside is already reflected in the share price, leaving limited near-term upside.

KeyBanc Sees Bigger Server OpportunityIn contrast, KeyBanc analyst John Vinh maintained an Overweight rating and lifted his price forecast to $430 from $300, citing a larger long-term opportunity in Arm-based server CPUs.

Vinh said near-term smartphone demand could remain constrained by memory shortages. However, he expects agentic AI to drive stronger adoption of Arm-based server processors, including NVIDIA Corp. Vera, Amazon.com Inc. AWS Graviton and Alphabet Inc. Google Axion.

He also said Arm’s potential move into designing server CPU silicon for customers could expand its addressable market, supporting as much as $25 billion in revenue and more than $9 in earnings per share by fiscal 2031.

Earnings OutlookInvestors are also preparing for Arm’s next earnings report, scheduled for July 29. Wall Street expects earnings of 36 cents per share, up from 35 cents a year earlier, on revenue of $1.27 billion, compared with $1.05 billion last year.

The stock trades at roughly 352 times trailing earnings, reflecting its premium valuation.

ARM Price ActionARM Stock Price Activity: Arm Holdings shares were down 6.35% at $279.99 at the time of publication on Tuesday, according to Benzinga Pro data.

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I rate Arm Holdings (ARM) a Buy with a $544 price target, implying 64% upside from $332 per share. The main growth drivers are higher royalty dollars per chip from Armv9 and CSS, stronger licensing momentum, more CPU cores needed for agentic AI and the Arm AGI CPU. My valuation is based on a longer-dated EPS framework because management has provided visibility into 2031.I estimate $3.01 in 2028 non-GAAP EPS, grow that to $8.59 by 2031.

Key Takeaways ARM's total revenues increased 20% year over year to $1.49 billion in fiscal Q4 2026.Licensing and other revenues surged 29% to $819 million.Royalty revenues grew 11% to $671 million on Armv9 adoption, Arm CSS and expanding data center deployments. Arm Holdings (ARM - Free Report) continues to capitalize on robust demand for its semiconductor intellectual property, with its latest quarterly results highlighting licensing as a key growth engine.

In the fourth quarter of fiscal 2026, total revenues climbed 20% year over year to $1.49 billion. While the royalty business remained a significant contributor, licensing and other revenues once again delivered the strongest growth, underscoring sustained customer demand for ARM’s technology.

The company continues to benefit from rising investments in artificial intelligence, cloud computing, mobile devices and custom silicon. As chipmakers increasingly design specialized processors for AI workloads and high-performance computing, ARM’s architecture has become an essential foundation for product development, supporting a healthy pipeline of new licensing agreements and long-term customer relationships.

Licensing and other revenues surged 29% year over year to $819 million, making it the primary driver of ARM’s top-line expansion during the quarter. Growth was supported by previously signed agreements, as well as the timing of several high-value licensing contracts.

Meanwhile, ARM’s royalty business continued to provide a stable stream of recurring revenues. Royalty revenues increased 11% year over year to $671 million, driven by broader adoption of Armv9, increasing deployment of Arm Compute Subsystems (CSS), and the growing use of Arm-based processors in data center infrastructure.

For investors, the takeaway is straightforward: strong licensing demand continues to strengthen Arm Holdings’ competitive position. As customers accelerate investments in AI infrastructure and next-generation computing, ARM appears well-positioned to benefit from a growing pipeline of licensing opportunities while simultaneously expanding its high-margin royalty base, providing multiple long-term drivers of sustainable growth.

How Arm Holdings Stacks Up Against Key U.S. PeersNVIDIA (NVDA - Free Report) dominates the AI accelerator market with its GPUs and networking platforms. Unlike Arm Holdings, which primarily generates revenue through licensing and royalties, NVIDIA designs and sells complete hardware and software solutions. While NVIDIA's growth is driven by direct chip sales, ARM benefits as more semiconductor companies adopt its CPU architecture to develop AI-optimized processors, making the two companies complementary in many AI deployments rather than direct competitors.

Advanced Micro Devices (AMD - Free Report) competes in CPUs, GPUs and data center processors, focusing on designing and selling semiconductor products. ARM, in contrast, licenses its processor architecture to a broad ecosystem of chipmakers. As demand for custom AI chips and energy-efficient computing grows, AMD competes through product innovation, while ARM benefits from broader adoption of its intellectual property across multiple customers and end markets.

ARM’s Price Performance, Valuation and EstimatesThe stock has surged a massive 175% year to date, significantly underperforming the industry’s 46% rally.

                                                         Image Source: Zacks Investment Research

From a valuation standpoint, ARM trades at a forward price-to-sales ratio of 49.11X, well above the industry’s 9.13X. It carries a Value Score of F.

                                                              Image Source: Zacks Investment Research

The Zacks Consensus Estimate for the company’s fiscal 2027 earnings has declined over the past 30 days.

                                                                   Image Source: Zacks Investment Research

ARM currently carries a Zacks Rank #3 (Hold). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.

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Arm Holdings (NASDAQ:ARM | ARM Price Prediction) has been one of 2026’s most dramatic stories, ripping from a January low near $105 to a record $452.70 in June before giving back gains.

With shares now near $315, the question is whether the AI CPU thesis still has room to run or if the easy money has already been made. Our proprietary model says there is more upside, but not the kind investors have gotten used to.

Our 24/7 Wall St. Price Target for Arm The Arm Holdings story is fundamentally about becoming the default CPU architecture of the agentic AI data center. Our 24/7 Wall St. price target for Arm is $344.98, implying 9.42% upside from the current price of $315.28. Our recommendation is buy with a confidence level of 90%.

Metric Value Current Price $315.28 24/7 Wall St. Price Target $344.98 Upside 9.42% Recommendation BUY Confidence Level 90% A Wild Ride From $105 to $452 and Back Arm is up 188.43% year to date and 103.89% over the past year, yet the last month has been brutal. Shares are down 21.71% over the past 30 days and 9.33% in the past week, currently sitting 35% below the 52-week high of $452.70. A 10.1% drop on June 23 during a broader semiconductor rout, combined with a New Street Research downgrade to Neutral and executive insider selling, triggered the pullback.

The fundamentals remain strong. Q4 FY2026 revenue hit $1.49 billion, up 20.1% YoY, with non-GAAP EPS of $0.60 beating consensus. Full-year FY2026 revenue reached $4.92 billion (+22.79%), marking a third consecutive year of 20%+ growth. Next earnings land July 29, 2026.

The Case for $448 and Higher Our bull case final price sits at $448.25, a 42.17% return. The catalyst is Arm AGI CPU, the company’s first data center production silicon. Management flagged more than $2 billion in customer demand across FY2027-FY2028 and a $100+ billion data center CPU TAM by 2030.

Meta is lead partner, and Google, NVIDIA, Microsoft, Oracle, and OpenAI are all building Arm-based silicon. Wall Street bulls have raised targets: TD Cowen to $475, UBS to $470, and Mizuho to $500, targeting $15 billion in agentic AI CPU revenue by fiscal 2031.

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What Could Go Wrong The bear case lands at $268.49, a 14.84% loss. Valuation is the elephant in the room. Arm trades at a trailing P/E of 402 and a forward P/E of 154. Non-GAAP operating margin compressed from 52.8% to 49.1% as R&D surged 43% YoY to $1.911 billion.

Bulls argue this is deliberate investment to capture the agentic AI opportunity, and the FY2026 free cash flow jump of 395.5% supports that framing. Other risks include the Qualcomm/Nuvia trial in Q4 CY2026, 25% U.S. semiconductor tariffs, and an FTC antitrust investigation reported in May.

The Setup: Constructive Above $300, More Compelling Below Our 24/7 Wall St. price target for Arm is $344.98, a buy at 90% confidence. The bull thesis strengthens if the July 29 earnings report validates the $1.26 billion Q1 FY2027 revenue guide and hyperscaler CPU share holds near 50%.

The thesis weakens if margins compress further without a clear royalty inflection or if the Qualcomm ruling goes against Arm. At this price, the risk/reward tilts positive.

Here is where our model projects Arm could trade in the coming years, assuming Armv9 royalty rates expand and AGI CPU adoption tracks management’s roadmap.

Year 24/7 Wall St. Price Target 2026 $344.98 2027 $378 2028 $405 2029 $425 2030 $442.80 These projections assume Arm continues executing on its AGI CPU roadmap and hyperscaler design wins. Significant upside could result from Meta’s personal superintelligence rollout scaling to its 3B+ user base, while downside risk centers on litigation outcomes and China export policy.

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Key Takeaways ARM is expanding beyond chip licensing with the AGI CPU to target AI infrastructure workloads.Arm is seeing broader adoption across hyperscalers, with support from NVIDIA, Google, and other partners.ARM trades at 57.93X forward sales, reflecting high expectations despite strong AI growth prospects. Arm Holdings plc (ARM - Free Report) shares have surged 118% over the past year, outperforming the semiconductor industry's impressive 83% gain.

The stock has benefited from growing investor optimism surrounding artificial intelligence, cloud computing, and next-generation semiconductor infrastructure. While much of the AI rally has centered on GPU leaders, ARM is steadily strengthening its position as the foundational architecture powering a growing share of AI-enabled devices and data centers. Its expanding software ecosystem, deepening partnerships with hyperscalers and ambitious push into AI infrastructure continue to reinforce the company's long-term growth story.

                                                            Image Source: Zacks Investment Research

ARM's Expanding Ecosystem Creates a Powerful Competitive MoatARM has built one of the semiconductor industry's strongest competitive advantages through a deeply interconnected ecosystem linking software developers and hardware manufacturers. This two-sided network has evolved into a durable competitive moat that becomes stronger as adoption continues to expand.

The company's architecture has become the preferred standard for device manufacturers because of its broad compatibility with leading operating systems, including Android, iOS, Windows and Linux. This extensive software support gives hardware manufacturers confidence that Arm-based processors will seamlessly run widely used applications, developer tools, and enterprise software across multiple computing environments.

The benefits extend equally to software developers. As more hardware companies adopt Arm's architecture, developers gain immediate access to an enormous installed base of devices, creating greater incentives to optimize applications for Arm-powered systems. Every additional hardware partner strengthens the software ecosystem, while broader software compatibility attracts even more hardware manufacturers.

This self-reinforcing cycle has helped ARM establish an exceptionally strong competitive position. The company's intellectual property now powers nearly every smartphone globally, creating significant barriers for competitors seeking to challenge its dominance in mobile CPU architecture.

AI Infrastructure Opens a New Growth AvenueWhile Arm Holdings has traditionally been known for licensing its processor designs, the company is increasingly expanding its presence across AI infrastructure. Its newly introduced Arm AGI CPU has been specifically designed to address the emerging era of agentic artificial intelligence, where autonomous AI agents continuously process and execute increasingly complex workloads.

The Arm AGI CPU is positioned as a highly efficient alternative to conventional x86 processors. According to the company, the processor delivers superior rack-level performance while improving overall infrastructure efficiency. The architecture is also designed to reduce capital expenditures for customers while enabling more efficient scaling of AI workloads across cloud and enterprise environments.

This initiative represents a strategic evolution beyond ARM's traditional licensing model. Rather than serving solely as a processor architecture provider, the company is increasingly positioning itself as a core infrastructure platform supporting the next generation of AI-powered data centers.

Cloud Leaders Continue Expanding ARM AdoptionMomentum behind Arm Holdings' architecture continues to accelerate among leading hyperscale cloud providers and AI infrastructure companies. NVIDIA (NVDA - Free Report) has further expanded its collaboration with ARM by integrating Arm-based CPUs into next-generation AI systems while introducing its Vera CPU platform to improve utilization and performance across AI clusters. NVIDIA continues to demonstrate growing confidence in ARM's processor architecture as AI infrastructure becomes increasingly complex.

Meanwhile, Alphabet (GOOGL - Free Report) is significantly deepening its own Arm strategy. Through Google, Alphabet plans to integrate custom Axion CPUs into future Tensor Processing Unit systems, replacing legacy x86 host processors with Arm-based designs to improve efficiency and AI training economics. The continued commitment from Alphabet further validates Arm's expanding importance within hyperscale cloud infrastructure.

Beyond NVIDIA and Alphabet, major technology companies, including AWS, Microsoft, Oracle, Samsung, Micron and SK Hynix, continue broadening support for the wider Arm ecosystem, reinforcing its position as an industry standard.

Strong Customer Demand Supports Long-Term GrowthCustomer demand for the Arm AGI CPU has already exceeded the company's initial launch expectations. Interest has been particularly strong among cloud service providers, telecommunications companies, and enterprise AI customers seeking more efficient computing architectures for increasingly demanding workloads.

Arm Holdings also noted that Arm-based processors now account for approximately half of CPU deployments across major hyperscale cloud providers, highlighting the company's growing influence within modern cloud infrastructure. As enterprises continue accelerating investments in artificial intelligence, Arm appears well-positioned to capture a larger share of future infrastructure spending.

The company's expanding ecosystem, dominant mobile presence, and increasing adoption across AI infrastructure collectively strengthen its long-term outlook. Backed by growing commitments from industry leaders such as NVIDIA and Alphabet, Arm Holdings is steadily evolving from a mobile processor leader into one of the foundational technology providers powering the next generation of global AI computing infrastructure.

We are expecting 21% sales growth and 19% increase in EPS for ARM in the current fiscal year, suggesting a steadier growth trajectory as it continues to scale its licensing model and invest in AI-enabled chip innovation.

ARM’s Premium Valuation Could Limit Near-Term UpsideDespite the company’s impressive execution, valuation remains one of the biggest concerns surrounding the stock.

ARM currently trades at a forward price-to-sales ratio of 55.09X, far above the semiconductor industry average of approximately 9.51X. The stock also carries a Value Score of F, highlighting its premium valuation relative to peers.

                                                               Image Source: Zacks Investment Research

Such elevated pricing suggests investors are already anticipating substantial long-term growth fueled by artificial intelligence adoption, expanding royalty streams and broader deployment of ARM architecture in advanced computing systems.

However, the semiconductor industry remains highly cyclical. If smartphone demand rebounds more slowly than anticipated or hyperscaler spending begins to moderate, market sentiment could deteriorate quickly. In these situations, expensive semiconductor stocks often experience amplified downside volatility.

As a result, even continued operational strength may not fully protect ARM shares if broader macroeconomic or industry conditions weaken. The current valuation leaves limited room for execution missteps or slower-than-expected growth.

ARM Stock Appears Worth HoldingArm Holdings continues to strengthen its long-term investment case through its dominant processor ecosystem, expanding role in artificial intelligence infrastructure, and growing adoption among leading cloud providers. Its architecture remains deeply embedded across mobile computing while new AI initiatives create meaningful opportunities beyond its traditional licensing business. However, much of this optimism already appears reflected in the stock's premium valuation, leaving limited room for disappointment if industry demand softens or growth moderates. Given its outstanding fundamentals but elevated valuation, ARM appears best suited as a Hold, with investors waiting for a more attractive entry point before adding to positions.

ARM carries a Zacks Rank #3 (Hold) at present. You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.

Key Takeaways ARM introduced the AGI CPU to improve efficiency and performance for AI data center workloads.Arm said demand has exceeded launch expectations from cloud, telecom, and enterprise AI customers.ARM noted that Arm-based processors now account for about half of CPU deployments at major hyperscalers. Arm Holdings (ARM - Free Report) is stepping up its ambitions in AI infrastructure with the Arm AGI CPU, a processor purpose-built for the emerging era of agentic AI workloads. The company believes the shift from traditional AI queries to continuously operating AI agents will significantly increase computing demand inside data centers, creating a substantial long-term growth opportunity.

The Arm AGI CPU is designed as a high-efficiency alternative to conventional x86 processors. The company says the new chip delivers meaningfully higher rack-level performance while improving overall infrastructure economics. It also believes its architecture can help customers reduce capital expenditures while scaling AI workloads more efficiently across cloud and enterprise environments.

The launch reflects Arm Holdings' broader strategy to extend beyond its traditional licensing business and strengthen its position within the AI hardware ecosystem. The company is increasingly positioning its architecture not only as a foundational technology layer but also as a scalable platform powering the next generation of AI infrastructure.

Cloud Giants Deepen Arm AdoptionMomentum behind the ARM platform continues to build among hyperscalers and AI infrastructure providers. NVIDIA (NVDA - Free Report) highlighted deeper integration of Arm-based CPUs across its next-generation AI systems and introduced its Vera CPU platform to enhance utilization and performance in AI environments. NVIDIA's expanding collaboration with Arm reinforces the growing importance of Arm-based computing within large-scale AI clusters.

Alphabet's (GOOGL - Free Report) Google is also advancing its Arm strategy by integrating custom Axion CPUs into future TPU systems. The company stated that its next-generation TPU infrastructure will replace legacy x86 host processors with Arm-based designs to improve efficiency and training economics. Google's continued commitment further reinforces confidence in Arm Holdings' expanding role within the future of cloud AI infrastructure.

Demand Pipeline Continues to StrengthenArm Holdings stated that customer demand for the AGI CPU has already exceeded its initial launch expectations, driven by interest from cloud service providers, telecom infrastructure companies, and enterprise AI customers. The company also noted that Arm-based processors now account for approximately half of CPU deployments among major hyperscale cloud providers.

Beyond Google and NVIDIA, industry leaders including AWS, Microsoft, Oracle, Samsung, Micron and SK Hynix continue expanding support for the broader Arm ecosystem. As global investment in AI infrastructure accelerates, Arm Holdings is positioning itself as a core architecture provider for the next generation of intelligent data centers.

ARM’s Price Performance, Valuation, EstimatesThe stock has gained 107% over the past year compared with the industry’s 80% growth.

                                                          Image Source: Zacks Investment Research

From a valuation standpoint, ARM trades at a forward price-to-sales ratio of 54.78X, well above the industry’s 9.61X. It carries a Value Score of F.

                                                                  Image Source: Zacks Investment Research

The Zacks Consensus Estimate for the company’s fiscal 2027 earnings has remained unchanged over the past 30 days.

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ARM currently carries a Zacks Rank #3 (Hold). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.

The AI boom promised to create a new generation of market winners. Instead, it has also exposed just how quickly expectations can outrun reality. After years of paying premium valuations for anything tied to artificial intelligence, investors are now demanding stronger earnings, disciplined spending, and proof that massive AI investments will generate real returns. 

The potential for interest rate hikes, slowing enterprise software budgets, and concerns over corporate debt have only added to the pressure. The result is that several of the market’s biggest technology names have quietly slipped well into bear market territory — even though many remain industry leaders with enviable long-term businesses.

The Numbers Behind the Selloff Here’s how far these 10 technology leaders have fallen from their recent highs:

Company Decline From High 1. Coinbase (NASDAQ:COIN | COIN Price Prediction) -67.2% 2. Oracle (NYSE:ORCL) -56.6% 3. ServiceNow (NYSE:NOW) -55.1% 4. Palantir Technologies (NASDAQ:PLTR) -46.3% 5. Netflix (NASDAQ:NFLX) -44.7% 6. Salesforce (NYSE:CRM) -43.7% 7. Microsoft (NASDAQ:MSFT) -34.4% 8. Meta Platforms (NASDAQ:META) -31.0% 9. Arm Holdings (NASDAQ:ARM) -25.2% 10. Broadcom (NASDAQ:AVGO) -25.2% A bear market officially begins with a 20% decline. Every company on this list has exceeded that threshold, and several have lost more than half their market value.

Why Investors Are Hitting the Sell Button These companies can be separated into two broad camps.

The first group includes companies like Coinbase and Netflix, where investors worry about slowing growth or increased competition. Coinbase’s revenue remains closely tied to cryptocurrency trading activity, making earnings highly cyclical. Netflix continues to grow subscribers, but its valuation leaves less room for disappointment after years of expanding margins.

The second group sits at the center of the AI revolution. Oracle, Microsoft, Broadcom, Arm, Palantir, Salesforce, and ServiceNow all benefit from AI spending. Ironically, that has become part of the problem.

Microsoft expects AI infrastructure spending to remain elevated as it expands Azure data centers, while Oracle continues investing aggressively in cloud capacity. Those capital expenditures run into tens of billions of dollars annually, delaying the cash flow many investors expected to see sooner.

Valuations also became stretched. Palantir and Arm both traded at revenue multiples far above most software and semiconductor peers before the correction began. When interest rates stay higher, investors become less willing to pay lofty prices for future earnings. Rate hikes could worsen their situations.

That said, Broadcom illustrates another concern. Its acquisition strategy has increased debt, even as AI-related semiconductor demand remains healthy. While it has reduced its debt load significantly since the VMWare acquisition, at around $66 billion, it remains quite large. Investors increasingly want balance-sheet strength alongside revenue growth.

Can These Stocks Recover? History suggests they can — but not all at the same pace. Microsoft and Meta continue generating tens of billions of dollars in annual free cash flow while funding AI expansion. Those cash reserves give management flexibility that smaller competitors lack.

Oracle’s cloud infrastructure business continues posting revenue growth above its legacy software business, while Broadcom remains one of the largest suppliers of networking chips powering AI data centers.

Surprisingly, some of the deepest declines may reflect excessive optimism being unwound rather than broken businesses. ServiceNow, Salesforce, and Palantir still generate growing recurring revenue from enterprise customers. The question is no longer whether AI creates value, but whether — for ServiceNow and Salesforce, at least — AI displaces their businesses. Also, investors want to know how quickly any AI value add translates into earnings.

Coinbase remains the biggest wildcard because cryptocurrency volumes — not AI adoption — will likely determine its recovery.

Key Takeaway In short, bear markets do not automatically signal failing companies. Often they signal that expectations became detached from fundamentals. Granted, elevated valuations, heavy AI capital spending, and higher interest rates have combined to pressure even the strongest technology businesses.

Regardless, investors should focus less on how far a stock has fallen and more on whether its competitive position has changed. Companies like Microsoft, Meta, Broadcom, and Oracle still occupy critical positions in the AI ecosystem. Others, including Coinbase and Netflix, face more company-specific challenges that could make their recoveries less predictable.

Ultimately, corrections reset expectations. For patient investors, the next chapter will be determined not by AI headlines, but by earnings growth, free cash flow, and whether management teams can turn today’s massive investments into tomorrow’s profits.

Shares of Arm Holdings continued to decline on Wednesday, extending losses after the semiconductor stock tumbled more than 10% in the previous session as investors rotated out of several high-flying artificial intelligence names.

Arm shares fell 4.7% to $349.03 and are down about 19% since the beginning of the week.

Despite the recent selloff, the stock remains one of the strongest performers in the semiconductor sector, having surged 227% this year and gained 127% over the past 12 months, according to Dow Jones Market Data.

The weakness in the stock comes amid a broader reassessment of valuations across AI-related companies.

However, Wall Street analysts remain optimistic about Arm's long-term prospects and continue to raise their price targets on the chip designer.

Both UBS and TD Cowen increased their targets on the stock on Wednesday, arguing that Arm remains well positioned to benefit from the next phase of AI infrastructure spending.

UBS raised its price target on Arm to $470 from $260 while maintaining a Buy rating on the stock.

The new target implies about 33% upside from Wednesday's trading levels.

UBS analyst Timothy Arcuri said investor attention is increasingly centered on the revenue potential of Arm's internally developed central processing units.

“The real investor debate, in our view, is revenue potential for Arm’s standalone CPU,” Arcuri wrote Wednesday.

The analyst team expects revenue from Arm's internal CPUs to grow to around $14 billion by 2030.

According to the company, its internal chip business is not expected to become financially material until fiscal 2028.

“Arm’s core competency lies in latency and efficiency—which aligns well with hyperscaler needs,” Arcuri wrote.

TD Cowen also raised its price target to $475 from $265 and reiterated its Buy rating, implying roughly 35% upside from current levels.

The brokerage said the changing AI workloads are increasing the importance of central processing units.

“The Doing Behind The Thinking: As agentic AI shifts more work from the thinking GPUs do to the doing CPUs handle, CPUs are becoming an AI beneficiary,” the analyst stated.

TD Cowen added that Arm's target of generating $15 billion in annualized AGI CPU revenue by fiscal 2031 appears reasonable, identifying GPU-to-CPU attachment rates and pricing per core as key factors influencing that outlook.

Arm has traditionally generated revenue by licensing its instruction-set architecture and collecting royalties from customers, including Apple, Nvidia, Samsung, and Qualcomm.

At its core, Arm develops the fundamental interface between CPU chips and software and serves as the principal alternative to the x86 architecture used by Intel and Advanced Micro Devices.

However, the company is increasingly moving beyond intellectual property licensing and into full-scale chip production, creating a new investment debate around the size of its future semiconductor business.

TD Cowen suggested the market may be applying a 15% share estimate too mechanically to Nvidia's estimated $200 billion CPU total addressable market, while maintaining a more constructive view on Arm's intellectual property opportunities.

Bank of America also raised its target on Arm earlier this week to $460 from $335 and reiterated its Neutral rating.

“We see Arm as one of the most prominent beneficiaries of the rising server CPU tide,” Bank of America analyst Vivek Arya wrote.

He added that Arm at $420 is “fairly valued.”

Arm (ARM 1.71%) is benefiting from AI, efficiency, and licensing growth across multiple platforms, while Intel (INTC +2.27%) seeks a strategic comeback through Data Center expansion and foundry services. This video analyzes the key catalysts, market debate, and which stock may have the stronger long-term prospects.

Stock prices used were the market prices of June 11, 2026. The video was published on June 20, 2026.

Rick Orford has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Arm Holdings and Intel. The Motley Fool has a disclosure policy. Rick Orford is an affiliate of The Motley Fool and may be compensated for promoting its services. If you choose to subscribe through their link, they will earn some extra money that supports their channel. Their opinions remain their own and are unaffected by The Motley Fool.

Shares of Arm Holdings (NASDAQ:ARM | ARM Price Prediction) stock are down 10% today, trading near $367 in Tuesday afternoon action. The slide pulls Arm shares well below their June 17 all-time intraday high of $444.8 and lands inside a broad, Korean-led chip and AI selloff rather than any Arm-specific stumble.

Even after today’s drop, Arm stock remains up 235% in 2026, one of the most extreme runs in the semiconductor space this year. That backdrop is exactly why traders are now asking whether this pullback is a routine pause or a more meaningful take-profits signal.

The setup is unusually loaded. A Street-high analyst target sits alongside a triple-digit price-to-earnings multiple, leaving Arm Holdings caught between a powerful agentic AI growth story and one of the most stretched valuations in large-cap tech.

Broad Chip Selloff Pressures Arm Holdings Tuesday’s move reads as sector pain rather than company-specific news. Asian tech rolled over hard overnight, with South Korea’s KOSPI down 10%, and that risk-off wave carried into U.S.-listed AI and semiconductor names by the open.

Arm stock had also climbed sharply into the move, which left little cushion. Monday’s close sat at $407.72, leaving Arm shares stretched into Tuesday’s reversal.

That combination of sector-wide de-risking and a vertical chart is a textbook recipe for an outsized single-day drawdown in a high-beta name. Arm Holdings carries a beta of 3.79, which amplifies sector moves in both directions and helps explain the magnitude of today’s slide.

The Bull Case: Bernstein’s $500 Street-High Target An aggressive bull voice belongs to Bernstein, which recently raised its Arm stock price target from $300 to an eyebrow-raising $500, an increase of nearly 70%, while maintaining an Outperform rating. The firm’s thesis rests on Arm’s positioning in agentic AI, where power-efficient architectures matter more than ever.

Bernstein highlights the Arm AGI CPU, launched last quarter, delivering more than 2x performance per rack versus x86-based platforms. The analyst team also expects Arm to reach its $15 billion own-chip sales target earlier than anticipated on stronger-than-expected demand.

The fundamentals back the optimism. For fiscal Q4 2026, Arm posted record revenue of $1.49 billion, up 20% year over year, with licensing revenue up 29% to $819 million and data center royalties more than doubling year over year.

The Bear Case: Valuation and a Target Below the Tape The cautious side of the ledger starts with the multiple. Arm stock trades at a trailing P/E ratio of about 431x, and a forward non-GAAP P/E ratio of about 202x versus an industry average near 24x.

The analyst community is also notably split. While Bernstein and Mizuho both sit at $500 with Outperform ratings, Wells Fargo is at $410, Barclays at $360, and Bank of America at $335. The consensus average target sits near $282.93, well below where Arm shares trade today.

That tension is the heart of the take-profits question. A 235% year-to-date run, an extreme earnings multiple, and a stock trading above the average Wall Street target are exactly the conditions under which a broad sector selloff can morph into a deeper unwind.

What Investors Can Watch From Here The Arm story hasn’t changed in a single session. Agentic AI demand, AGI CPU traction, and hyperscaler design wins remain intact, and Tuesday’s slide looks more like a sector reset than a fundamental break in the thesis.

However, the math is harder to ignore at these levels. With Arm Holdings shares above the consensus target and a triple-digit P/E ratio, investors can watch for whether broader chip sentiment stabilizes through the close and whether Arm stock holds support near recent breakout levels rather than retracing more of the 2026 advance.

Whether today’s drawdown is a buying opportunity or a take-profits signal is a genuinely open question for Arm stock traders. Investors with outsized gains should consider keeping their position sizes modest, while longer-term holders can weigh the agentic AI thesis against one of the richest valuations in the semiconductor sector.

Arm Holdings PLC (NASDAQ:ARM) stock is up 3% before the bell after analyst praise. UBS raised its price target to $470 from $260, while TD Cowen lifted its target to $475 from $265, both citing improving demand for central processing units (CPUs) as agentic AI adoption accelerates.

The chipmaker has been one of the market's standout performers in 2026, up 235% year to date. The shares touched a record high on June 18 of $452.70 before pulling back sharply over the last two sessions amid the broader global tech rout. 

Notably, short interest rose 14.9% over the last month and now stands at 18.51 million shares, representing 12.8% of ARM's available float. At the stock's average pace of trading, it would take nearly two days for those bearish bets to be covered.

Meanwhile, ARM carries a Schaeffer's Volatility Scorecard (SVS) of 96 out of 100, indicating the shares have consistently delivered larger moves than options traders have priced in over the past year.

FN Media Group Presents Oilprice.com Market Commentary

, /PRNewswire/ -- If you've been following in the AI boom, you probably are aware of the same names everyone else is. NVIDIA for the chips. Microsoft, Google and Amazon for the cloud. Maybe Meta for the consumer side. Maybe Palantir or one of the AI software names. Possibly TSMC for exposure to the manufacturing layer. And that awareness has worked well for many. NVIDIA alone has minted more wealth in two years than most companies create in a century. The hyperscalers have all hit fresh highs. AI software stocks that were speculative bets in 2022 now trade at premium multiples.  Companies mentioned in today's commentary includes:  Bitzero Holdings Inc. (AIBZ), Amazon.com, Inc. (NASDAQ: AMZN), Alphabet Inc. (NASDAQ: GOOGL), ASML Holding N.V. (NASDAQ: ASML), Arm Holdings plc (NASDAQ: ARM), Super Micro Computer, Inc. (NASDAQ: SMCI).

But everyone interested in this industry should be asking the same question right now. With most of these names sitting at or near all-time highs, where does the next leg of returns come from? The answer won't come from the obvious places. The chip makers, the cloud providers and the software creators have already gotten a ton of attention. To find the kind of returns that actually move the needle in 2026, you have to look one layer beneath the names everyone is talking about. You have to look at what makes all of it possible.

One company well positioned for what's coming is one most people have never heard of. It's called Bitzero Holdings, Inc. (AIBZ), and to understand why it matters, you need to understand the bottleneck nobody is talking about yet. 

The Question Wall Street Forgot to Ask
Every company in the AI economy depends on one thing. NVIDIA's chips are useless without it. Microsoft's data centers are concrete shells without it. Google's models can't train without it. The entire industry runs on one input that almost nobody talks about. Electricity. And there isn't enough of it.

A single ChatGPT query consumes roughly 10 times the energy of a Google search. Training the next generation of large language models requires the equivalent power draw of small cities. Industry forecasts now put AI data center capital expenditure at roughly $5.2 trillion between now and 2030. Goldman Sachs Research projects global data center power demand will surge up to 165% by 2030 compared to 2023 levels.

The Hyperscalers Already Know
If you want confirmation that power is the real constraint, look at what the smart money is doing. Microsoft signed a 20-year deal to restart the Three Mile Island nuclear plant, a facility that has been offline since 2019, specifically to feed its AI ambitions. Amazon paid $650 million for a data center campus directly co-located with the Susquehanna nuclear station in Pennsylvania. Google announced agreements with Kairos Power for small modular reactors.

These are not the moves of companies that think power will sort itself out. They are willing to commit billions and wait years to lock in scarce, secured, low-carbon electricity because they know that power is the binding constraint on their entire AI strategy. 

The Standout Play in a Closed Market
Bitzero Holdings, Inc. (AIBZ) is one of the very few companies that locked in Nordic power capacity ahead of the surge. The story of how it did so explains why this stock is one of the rare chances to own real AI infrastructure before Wall Street catches on.

Bitzero controls more than 1 gigawatt of secured, low-cost power capacity across four strategic sites in Norway, Finland and the United States. That capacity is permitted, contracted and in many cases already operational. The largest single block of that capacity, the 110 megawatts at the company's Norwegian flagship, is now under a binding 15-year lease worth approximately $2.6 billion. More on that in a moment. 

The crown jewel is the company's Norwegian flagship at Namsskogan, where Bitzero operates as a licensed grid operator at the 132 KV level. That's an unusual position. It is also an extraordinarily valuable one.

Most data center operators connect at 22 KV through a utility, paying middleman fees and waiting on utility timelines. Bitzero connects directly to the high-voltage grid and works directly with hydroelectric power plants, bypassing the middlemen and multi-year utility wait that hold most projects back. 

The financial impact is dramatic. Bitzero's all-in power cost at its Norway facility, including grid fees, taxes and every other charge, currently sits at 3-4 cents per kilowatt-hour. The US average is closer to 12 cents. American data center operators competing for AI workloads are paying three to four times what Bitzero pays for the same electron.

The Deals That Changed What This Company Is
Three months ago, Bitzero looked like a small Bitcoin miner with an unusually good power position. Today it looks like something different entirely. The transformation comes down to four announcements, all landing inside a single rolling window. 

The biggest by far is OneQode. On May 5, 2026, Bitzero signed a binding letter with OneQode Networks Pte. Ltd. for a 15-year lease of the full 110 megawatts at its Namsskogan, Norway site. Total contracted revenue runs approximately $2.6 billion, with implied annual revenue of $178 million at full capacity and a net operating margin of 85%. The tenant is deploying GPU clusters for enterprise AI, large language model training and sovereign AI workloads. Commissioning is targeted for the first half of 2027, with the lease then running through 2042 at minimum. The buildout to convert the site to HPC-grade specifications runs roughly $1.1 billion, with debt financing in late-stage negotiation. The deal is subject to definitive documentation, which management has indicated could close within the next 60 to 90 days.

On a per-megawatt basis, the OneQode deal lines up with the comparable HPC leases driving the multi-billion dollar valuations of larger peers. TeraWulf sits on $12.8 billion in contracted HPC revenue. Hut 8 signed a $7 billion, 15-year lease with Fluidstack for 245 megawatts. Core Scientific signed a $10.2 billion deal with CoreWeave across roughly 500 megawatts. Each of those announcements rerated the company's stock substantially.

The other three announcements build on the OneQode foundation. In January 2026, Bitzero announced that it had retained CBRE as the strategic broker for its 200-megawatt Finland site. CBRE is not a small player. The firm manages roughly $6 billion in annual data center transaction value and has direct, active relationships with every hyperscaler on earth. In the same month, Bitzero announced a partnership with Hydra Host, a top-10 NVIDIA Cloud Partner backed by Founders Fund.  Hydra Host operates GPU clusters across more than 50 locations worldwide and brings Bitzero's compute capacity to a global enterprise customer base through its Brokkr platform. A few days later, Bitzero acquired its first eight NVIDIA Blackwell B300 servers (64 GPUs total) for deployment at the Norway site, marking the company's first direct entry into AI compute revenue.

Already Profitable…And Just Getting Started
The part that separates Bitzero from most early-stage infrastructure plays is simple. The company is not burning capital while it waits for AI deals to close. It is generating revenue today. Bitzero mines Bitcoin at its Norway site at a blended power cost of approximately $0.03 to $0.035 per kWh. The all-in cost to mine one Bitcoin sits around $50,000, roughly half the industry average of $100,000. The company's hashrate has grown steadily from 0.4 EH/s in early 2024 to 1.08 EH/s by January 2025 to roughly 2.80 EH/s today, a 7x increase in two years. At current network conditions that's around 1.1 Bitcoin per day in production.

That revenue funds operations and demonstrates infrastructure reliability under sustained, real-world high-load conditions. AI customers want to see exactly that before signing multi-year hosting agreements.The 110 megawatts at Namsskogan are now committed to OneQode under the 15-year lease, with HPC commissioning targeted for the first half of 2027. The growth runway extends well beyond that initial block. Bitzero has a clear path to approximately 325 megawatts at the same site by late 2027, with the largest infrastructure components, including a Siemens GIS breaker with 200 megawatt capacity, already paid for and installed. Whatever capacity does not flow to OneQode in later phases becomes available for either additional HPC tenants or expanded mining.

Other companies to keep an eye on: 

Amazon.com, Inc. (NASDAQ: AMZN) may be making the most aggressive single bet on AI infrastructure of any company on this list. The company announced $200 billion in capital expenditures for 2026, the bulk of it aimed at AWS data centers — up from $96.5 billion spent in 2025 and $83 billion in 2024. CEO Andy Jassy told investors that all new AWS capacity sells out immediately, with demand limited by supply factors like energy and hardware, not customer appetite.

Q1 FY2026 results reinforced that narrative. AWS grew 28%, its fastest clip in 15 quarters, on a very large base. Amazon's custom chip business — Trainium — crossed a $20 billion annualized revenue run rate, growing triple digits year over year.

Alphabet Inc. (NASDAQ: GOOGL) is approaching the AI data center race from a position of unusual strategic depth. Unlike its hyperscaler peers, Google designs and manufactures its own AI chips — Tensor Processing Units — giving it a degree of supply chain independence that Microsoft and Amazon lack. That vertical integration is showing up in the numbers: the company reduced Gemini serving unit costs by 78% over 2025 through model optimizations and efficiency improvements.

The spending commitment is massive either way. Alphabet guided 2026 capital expenditures to between $180 billion and $190 billion — more than double its 2025 figure — with CFO Anat Ashkenazi flagging that 2027 capex is expected to "significantly increase" from there.

ASML Holding N.V. (NASDAQ: ASML) is the only company in the world that makes extreme ultraviolet lithography machines — the equipment required to print every leading-edge AI chip. There is no alternative supplier. Q1 2026 net sales reached €8.8 billion, up 13% year over year, at a 53% gross margin that is exceptional for capital equipment manufacturing. The company raised its full-year 2026 revenue guidance to €36 to €40 billion from a prior range of €34 to €39 billion, citing AI-driven demand that CEO Christophe Fouquet said is pushing chip demand well beyond current supply.

The China headwind is real and worth flagging. System sales to China fell to 19% of total in Q1 2026, down from 36% in Q4 2025, as export controls progressively restrict what ASML can sell there. The pre-buying cycle for lower-end DUV machines has run its course, and EUV has never been permitted for Chinese customers. A

Arm Holdings plc (NASDAQ: ARM) doesn't make chips. It designs the instruction set architectures that most of the world's chips are built on — and then collects royalties every time one of those chips ships. Every AWS Graviton processor, every Apple M-series chip, every NVIDIA Vera CPU runs on Arm architecture. Q4 FY2026 revenue hit $1.49 billion, up 20% year over year, with data center royalties more than doubling year over year for the second consecutive quarter.

The data center story for Arm is that its architecture is now winning the hyperscaler CPU market at scale. Arm-based CPUs hold approximately 50% market share among the top hyperscalers — AWS Graviton and Trainium, Google Axion and TPUs, Microsoft Cobalt, NVIDIA's Vera CPU — all run on Arm.

Super Micro Computer, Inc. (NASDAQ: SMCI) designs and manufactures the high-performance servers and rack-scale systems that sit inside AI data centers, competing directly with Dell in the GPU server market. The company pioneered the direct liquid cooling rack solutions that are now industry standard for high-density AI workloads, and it counts NVIDIA as a core supply chain partner.

The company has had a turbulent period from a governance standpoint. Super Micro faced an accounting investigation and delayed several financial filings in 2024 and 2025, which rattled the industry even as the underlying server business continued to grow.

By. Tom Kool

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The semiconductor sector ripped 8.8% in a single week, with the SMH ETF closing at $619.96 on June 12, 2026, reclaiming levels above both Tuesday’s and Friday’s highs after getting hard hit last Friday. The host of Stock Market Today With IBD said the ETF contains a lot of chips that are well into new high territory that really just didn’t stop at all. If you waited for confirmation, confirmation showed up. These are the five names doing the heavy lifting.

1. Kulicke & Soffa (KLIC): The Small-Cap Nobody’s Talking About Start with the name most portfolios don’t own. Kulicke & Soffa (NASDAQ:KLIC) makes the back-end packaging equipment that bonds AI chips together, and the host put it right there in new high territory. The company is raising fiscal-year capex from $12M to $22M specifically to expand its Thermo-Compression Bonding systems toward a $400M annual TCB sales target. That is direct advanced-packaging exposure, sold to the same fabs running NVIDIA and AMD’s hottest silicon.

The Q2 FY26 print, reported May 6, 2026, showed revenue of $242.62 million against $161.99 million the prior year, with non-GAAP EPS swinging to $0.79 from a $0.52 loss. CEO Lester Wong said, “Demand is stronger than anticipated due to both technology and capacity needs across general semiconductor, memory, automotive and industrial end markets.” Guidance for the next quarter calls for revenue near $310M and non-GAAP EPS around $1.00.

The stock added 15% last week and is up 149% year to date at $113.13. The 52-week low was $30.93. The next name is the one institutions are forced to own.

2. Lam Research (LRCX): The Heavyweight Doing the Talking If KLIC is the whisper, Lam Research (NASDAQ:LRCX | LRCX Price Prediction) is the roar. The host called it out by name as looking very strong. Lam sells the deposition and etch tools that every leading-edge fab needs to build HBM stacks and gate-all-around transistors. Every dollar of hyperscaler AI capex eventually walks through a Lam tool.

The March 2026 quarter delivered revenue of $5.84 billion, up 23.8% year over year, with non-GAAP EPS of $1.47 against a $1.36 consensus, the fourth consecutive EPS beat. Operating margin expanded to 35.0%. CEO Tim Archer said, “Lam delivered record revenue and EPS in the March quarter as AI-driven demand reshapes the semiconductor industry.” June quarter guidance points to $6.60 billion in revenue, a sequential acceleration.

Shares jumped 21% last week to $366.81, with a year-to-date gain of 115%. On a 10-year basis, Lam is up 5,013%. The next name is the only company in the world that builds the machine Lam’s customers can’t live without.

3. ASML: The Monopoly There is exactly one supplier of EUV lithography systems on the planet, and ASML (NASDAQ:ASML) is it. No EUV, no advanced node. No advanced node, no Blackwell, no MI400, no custom hyperscaler silicon. The toll bridge analogy gets overused, but ASML is the only gas station for fifty miles on the road to sub-2nm.

Q1 2026 revenue came in at $10.34 billion with diluted EPS of $8.43 and gross margin of 53.0%. CEO Christophe Fouquet said, “The semiconductor industry’s growth outlook continues to solidify, driven by ongoing AI-related infrastructure investments. Demand for chips is outpacing supply. In response, our customers are accelerating their capacity expansion plans for 2026 and beyond.” Management raised full-year 2026 revenue guidance to $42.47B-$47.19B and now sees a 2030 opportunity of $51.91B-$70.78B at 56-60% gross margins.

Backlog tells the story. Q4 2025 backlog stood at $45.06 billion, with quarterly net orders of $15.28 billion, of which $8.60 billion was EUV alone. Shares added 14% last week to $1,863.55, with a YTD gain of 75%. The next name skips the equipment entirely and sells the blueprint.

4. Arm Holdings (ARM): The CPU Standard Is Eating the Data Center The host said Arm Holdings (NASDAQ:ARM) has been looking good, and that is putting it mildly. Arm’s architecture sits inside every smartphone on Earth, and now it is sliding into the data center underneath Google’s Axion, NVIDIA’s Vera, and Microsoft’s Cobalt. When the workload shifted to agentic AI, the CPU stopped being an afterthought.

Q4 FY2026, reported May 6, 2026, showed revenue of $1.49 billion, up 20.1% year over year, with non-GAAP EPS of $0.60. License revenue grew 29% and data center royalty more than doubled. CEO Rene Haas said, “As AI becomes more agentic, demand for Arm AGI CPU, Arm’s first data center chip, has exceeded expectations, reinforcing Arm as the compute platform for the AI era.” Customer demand for the AGI CPU already exceeds $2 billion across FY27-FY28, against a data center CPU TAM Arm pegs at over $100 billion by 2030.

The stock ripped 11% last week to $380.81, with a one-month gain of 72% and a YTD gain of 248%. Friday alone was 11%. The valuation is steep at a 449 P/E, but the design wins are real. The last name on this list is where the AI bookings story reads like a hard backlog.

5. Marvell Technology (MRVL): The Payoff Marvell Technology (NASDAQ:MRVL) is the cleanest pure-play on AI data center interconnect that retail investors can buy. Custom XPU silicon for hyperscalers. 1.6T optics. 51.2T Ethernet switches. The plumbing that decides whether a GPU cluster actually scales or just sits there waiting on bandwidth. I’ve followed the custom-silicon thesis for years, and Marvell’s quarter is the one that finally cracked the case open.

Q1 FY2027, reported May 27, 2026, delivered revenue of $2.417 billion, up 27.6% year over year. Data center revenue hit $1.833 billion, or 76% of the total. CEO Matt Murphy said, “We are seeing exceptional AI-related bookings, and as a result, we are significantly raising Marvell’s revenue outlook for both fiscal 2027 and fiscal 2028.” Q2 guidance points to $2.7 billion at the midpoint, an implied 35% growth rate, with management explicitly telling investors to expect growth to accelerate each quarter throughout fiscal 2027.

The kicker is what happened on Reddit during the breakout. Sentiment on June 8 collapsed to 10 on a wallstreetbets post about “100k+ gain shorting Nebius and Marvell last Thursday”, then flipped to 88 by June 10 as the chopper-loading bulls took over. Shares closed the week up 6% at $279.70, with a YTD gain of 230%. Analyst consensus price target sits at $235.70, which the stock has already blown past, and the rating split is 8 Strong Buy, 31 Buy, 5 Hold.

The Setup The host called the chip sector just spitting distance away from new high territory, and the tape is now there. Five names, five CEOs, one story: AI capex is outrunning supply and the picks-and-shovels providers are guiding sequential acceleration into 2027. KLIC sits at the back end, Lam and ASML own the front end, Arm owns the instruction set, and Marvell owns the interconnect. The breakout already happened. The question is whether you were watching when it did.

At $342.23, Arm Holdings (NASDAQ:ARM | ARM Price Prediction) appears fairly valued, with a more attractive entry point sitting at or below $310 on any macro-driven technical consolidation.

Arm Holdings plc remains a top Buy despite a massive run, driven by foresight, discipline, and strong execution. ARM reported record FY revenue of $4.92B with over 20% growth for three consecutive years, underpinned by surging royalty and licensing income. The company is making a strategic shift into AI infrastructure with the Arm AGI CPU, with early demand doubling to $2B in weeks.

Shares of Arm Holdings (ARM +11.41%), the world's leading central processing unit (CPU) chip designer, soared 68% in May, according to data from S&P Global Market Intelligence. This stellar performance brings the stock's 2026 return to a jaw-dropping 268%, as of June 2. The S&P 500 index returned 11.7% over this period.

For context, shares of artificial intelligence (AI) chip and infrastructure leader Nvidia (NVDA +2.30%) gained 8.4% in May. And last month, the S&P 500 returned 5.3%, and the tech-heavy Nasdaq Composite index returned 8.4%.

Image source: Getty Images.

Wall Street views Arm as a main beneficiary of the strong demand for AI agents On May 20, Arm stock surged 15.1% after Wall Street firm Bernstein initiated coverage with a buy rating and issued very bullish comments. Moreover, the stock kept moving up on the momentum from this catalyst, gaining 37.4% in the three days following these actions.

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Another likely catalyst was Nvidia's May 20 release of powerful results for its fiscal first quarter. (Revenue surged 85% year over year, and adjusted earnings per share, or EPS, soared 140% year over year.) Arm and Nvidia are partners.

Nvidia produces quite a few chips that use Arm technology, so when these Nvidia products sell well, Arm also benefits. In its data center platform, for instance, Nvidia's Grace Blackwell superchip combines Arm-based Grace CPUs with Nvidia's Blackwell graphics processing units (GPUs).

Moreover, Nvidia is set to launch its next-generation CPU, Vera, in the second half of this fiscal year. Here's what CEO Colette Kress said on the May 20 earnings call that was very bullish not just for Nvidia, but also for Arm:

Agentic AI and reinforcement learning represent new growth opportunities for CPUs. Building on the success of our Grace CPU, Vera is arriving just in time to meet this inflection. [Vera is] built on custom Arm cores [Emphasis mine] ...

Vera CPU opens a brand new $200 billion TAM [total addressable market] for NVIDIA, a market we have never addressed before. ... We have visibility to nearly $20 billion in total CPU revenue this year, setting us up to become the world-leading CPU supplier.

As Nvidia CEO Jensen Huang stated, Vera is "the world's first CPU purpose-built for agentic AI." Arm's CPU architecture is known for its high energy efficiency, which makes it a great fit for AI inference in AI agents. (Inferencing means deploying a trained model to generate output.)

Moreover, in March, Arm launched the Arm AGI CPU, marking its entry into silicon production. So, its own chip should also benefit from the growing demand for AI agents.

Looking ahead In early May, when it released its fiscal Q4 and full-year 2026 results, Arm guided to fiscal Q1 revenue of $1.26 billion, up 20% year over year. It also guided to adjusted EPS of $0.40, representing 14% year-over-year growth.

Wall Street expects Arm's adjusted EPS to grow 23% this fiscal year (fiscal 2027) and accelerate to 41% next fiscal year.

Arm Holdings' management reiterated confidence in sustaining approximately 20% royalty growth longer term, reinforcing the market's confidence in Arm's structural growth profile. Adyen was a detractor from performance during the quarter following fourth quarter results and a more cautious 2026 outlook. We initiated a new position in American Express and exited our positions in Gartner and UnitedHealth.