ARM Holdings PLC Earnings - Q1 2026 Analysis & Highlights
ARM Holdings reported record quarterly and fiscal year results driven by strong demand for its Arm platform across cloud AI, edge AI, and physical AI applications, with the company launching its new Arm AGI CPU for data center agentic AI workloads and securing over $2 billion in customer demand for the product.
Key Financial Results
Total revenue reached $1.49 billion in Q4 2026, up 20% year-over-year, representing the highest quarterly revenue ever and exceeding guidance midpoint.
Full fiscal year 2026 revenue reached $4.92 billion, up 23% year-over-year, marking the third consecutive year of more than 20% revenue growth since going public.
Licensing revenue grew 29% year-over-year to $819 million in Q4, driven by strong demand for the Arm platform.
Royalty revenue grew 11% year-over-year to $671 million in Q4, with growth across edge AI, physical AI, and cloud AI, where data center royalty more than doubled year-over-year.
Full year licensing revenue was $2.31 billion, up 25%, and royalty revenue was $2.61 billion, up 21%.
Non-GAAP EPS reached $0.60 in Q4 and $1.77 for the full fiscal year 2026, both record levels.
Non-GAAP operating margin was approximately 49% in Q4.
Business Segment Results
Licensing revenue of $819 million in Q4 included a $200 million contribution from the SoftBank agreement, which remained flat with the prior quarter.
Annualized contract value (ACV) grew 22% year-over-year, maintaining strong momentum and continuing to exceed long-term expectations for license revenue growth.
Data center royalty revenue continues to more than double year-over-year, primarily driven by accelerating ramp of Arm-based server chips by major hyperscalers and increased deployments of data center networking chips where Arm has close to 100% market share.
Edge AI smartphone revenues continued to deliver growth despite end market weakness, driven by higher royalty rates from increasing penetration of Armv9 and compute subsystems into higher-end smartphones.
Physical AI contributed to strong royalty performance, driven by secular growth of ADAS and autonomous systems based on Arm technologies.
Capital Allocation
The document does not contain specific information regarding dividends, share repurchases, capital expenditures, or debt payments.
Industry Trends and Dynamics
AI is moving from human-based queries to continuous agent-driven workloads, expanding the role of the CPU as agentic workloads require CPUs to coordinate tasks, move data, manage memory, enforce security, and orchestrate work around accelerators.
Data centers will require more than four times today's CPU capacity as agentic AI scales, creating a datacenter CPU market opportunity of more than $100 billion by 2030.
AI is moving to every device and every physical system, including phones, PCs, vehicles, factories, robots, cameras, sensors, and connected devices, all of which need efficient, secure compute with software that scales.
Over 350 billion Arm chips have been shipped with over 22 million developers, making the Arm Compute platform the most comprehensive in history.
More than 50 leading companies are supporting the expansion of the Arm Compute platform into silicon, including the largest names in the industry.
Competitive Landscape
Arm-based custom silicon is becoming central to AI infrastructure across the largest AI platforms, with Google, AWS, Microsoft, and NVIDIA all advancing Arm-based strategies.
Google announced TPU8t for training and TPU8i for inference, replacing x86 host processors with custom Arm Axion CPUs, enabling an 80% improvement over the previous x86 solution with 50% less power.
AWS continues to scale its custom silicon strategy with Arm-based Graviton alongside Trainium and Nitro.
Microsoft is advancing its Arm-based strategy with Cobalt, designed to deliver high performance and energy efficient compute for Azure workloads.
NVIDIA announced Vera, the next generation Arm-based CPU built for agentic AI, with a standalone rack integrating 256 Vera CPUs.
Arm-based CPU now represents about 50% market share with top hyperscalers in cloud compute.
Management expressed confidence that by the end of the decade, the largest market share by CPU type will be Arm.
Macroeconomic Environment
Smartphone market is experiencing weakness, with management expecting unit growth to slip to negative for the mobile market and flattish to slightly negative numbers for the overall market.
Lower end of the smartphone market is experiencing the most impact from weakness, with minimal impact on Arm's business.
Growth Opportunities and Strategies
The Arm AGI CPU was launched at the Arm Everywhere event and is purpose-built for agentic AI, delivering more than two times the performance per rack compared with x86 platforms with potential to reduce AI datacenter capital expenditure by up to $10 billion per gigawatt.
Meta is the lead partner and co-developer of the Arm AGI CPU, working with Arm on a multi-generation roadmap to support personal superintelligence for more than 3 billion users.
The Arm AGI CPU expands how customers can work with Arm, allowing customers to deploy Arm Compute through IP, compute subsystems, or silicon through one compute platform and one software ecosystem.
Customer demand for the Arm AGI CPU is very strong, with more than $2 billion of customer demand across fiscal 2027 and fiscal 2028, more than double what was stated at launch.
Key customer wins include SAP, which will move core database and business application workloads to Arm starting with AWS Graviton and expanding to the Arm AGI CPU.
Cloudflare will deploy Arm across its global network to support traffic management, security, and AI inference closer to users.
Design wins secured with key network infrastructure providers including F5 and SK Telecom.
Customers such as Cerebrus, OpenAI, Rebellions, and Positron are using Arm-based CPUs as head nodes along accelerator-based systems.
Strategic partnership signed with the Indonesian government to strengthen Indonesia's capability in the development of AI technology.
Two next-generation CSS licenses were signed, one for smartphone chips and one for data center networking chips.
Management's strategy is to grow royalties through IP and CSS and add silicon as a new growth vector while scaling the Arm platform across the next generation of AI workloads.
Financial Guidance and Outlook
Q1 2027 revenue guidance of $1.26 billion, plus or minus $50 million, representing approximately 20% year-over-year growth at the midpoint.
Q1 2027 royalty and license revenue expected to both be up around 20% year-over-year.
Q1 2027 non-GAAP operating expense expected to be approximately $760 million and non-GAAP EPS expected to be $0.40 plus or minus $0.04.
By fiscal year end 2031, the company expects to generate $15 billion in AGI CPU revenue and $10 billion in IP revenue for a total of $25 billion, translating to more than $9 in EPS.
First revenues from Arm AGI CPU production chip sales expected in Q4 of fiscal 2027, with the company maintaining an outlook of $1 billion in AGI CPU revenue while pursuing supply chain capacity.
Royalty growth expected to be in the roughly 20% range for fiscal 2027, with relatively consistent growth across quarters.
License revenue expected to be back-end weighted in fiscal 2027, with approximately 60% in the second half versus 40% in the first half.
Operating expense growth expected to grow sequentially every quarter by a few percent, with incremental margin improvement throughout the year and expenses growing less than revenue by year-end.
Data center royalty revenue expected to double year-over-year again in fiscal 2027.
The Arm AGI CPU business is expected to be operating profit positive in fiscal 2027, with incremental OpEx costs limited to a team of dozens of people rather than hundreds.
By 2031, the IP business is expected to reach approximately 65% operating margin and the chip business approximately 35% operating margin.
Ecosystem and Partnership Strategy
Management emphasized that all major ecosystem partners were asked for support of the silicon strategy and every single partner said yes, including AWS, Microsoft, Google, NVIDIA, and over 50 different partners total.
The company explained to partners that the more software written and optimized for Arm makes everyone stronger, and that the silicon strategy benefits the entire Arm ecosystem.
Management stated that the primary reason for entering the silicon business was that customers asked for it, responding to customer demand in the market.
