Arm Delivers Record Revenues and Record Profits in FY21
- 2021 total revenues were up 35% to $2.7Bn with strong growth in both royalty and non-royalty revenue.
- 2021 licensing (non-royalty) revenues were up 61% to $1.13Bn as our expanded product portfolio and new business models such as Arm Flexible Access gave more customers more reasons and more ways to license Arm technology.
- 2021 royalty revenues were up 20% to a record $1.54Bn, helped by continuing strong growth of 5G smartphones, more ADAS and IVI chips going into cars, and price increases in 32-bit microcontrollers.
- Adjusted EBITDA were up 68% year on year to $1Bn, giving an Adjusted EBITDA margin of 37%.
- A record 29.2 billion chips shipped in FY21, including nearly 8 billion (7.8) in Q4.
- With more than 225 billion Arm-based chips shipped by our partners, we have the world’s largest computing footprint and a unique understanding of the complete compute spectrum.
“Our record results demonstrate that the demand for Arm technology and the strength of the Arm ecosystem has never been greater – our compute platform will power the next set of technology revolutions across cloud computing, automotive and autonomous systems, the IoT, the Metaverse and beyond,” said Rene Haas, CEO Arm. “As we look ahead to a future built on Arm, our priority is to continue to deliver on our business strategy, enable partners with the solutions they need through further investment in our roadmaps and engineering talent, and together with our ecosystem redefine the future of computing.”
Any re-use permitted for informational and non-commercial or personal use only.
Media Contacts
Latest on Twitter
Are you ready to build native apps on Windows on Arm?
We've got the tools and resources you need to get started.
This is how you build enhanced user experiences.
Here's to 3+ years of SOAFEE and everything that's to come with http://SOAFEE.next. 🎉
With 120+ members and counting, we're proud to celebrate the collaborative efforts of the entire automotive ecosystem to bring software-defined, AI-enabled vehicles to life:…
Do you build @VulkanAPI apps? We’ve got exciting news for you!
🔜 Native support for Windows on Arm is coming.
🎬 See it in action:
Processing complex AI workloads on the device can be slow. 🦥
Arm KleidiAI is changing this, bringing best performance without additional optimization.
We show what's possible when it's integrated with @Google's MediaPipe & XNNPACK on Android.
Meet the next generation of optimized ML workloads.👇
⚡ 30-50% speedups for various ML libraries
💪 3.1x run time improvement with Photon
💰 Lower cost
Get this and more with Arm Neoverse-based @AWSCloud Graviton on the @databricks ML Runtime cluster.
Unlock Faster Machine Learning with Graviton | Databricks Blog
okt.to
AI is transforming the world of computing, from the edge to the cloud. 🚀
As Arm CMO Ami Badani explains on @theCUBE, this offers unique opportunities, but you have to have the right platform in place to maximize them.
That's where Arm comes in:
Ami Badani, ARM | AI Infrastructure Silicon Valley - Executive Series
Ami Badani, ARM, sits down with John Furrier & Dave Vellante, theCUBE.
okt.to
Reasons we ❤️ the Arm Cortex-M33 based Raspberry Pi Pico 2:
1️⃣ You can deploy more compute-intensive apps
2️⃣ It's faster, thanks to the floating point unit
3️⃣ It's more performant
Try it for yourself testing real-time ML audio noise suppression.
🔍 BTS of July's Amazon Prime Day, over 250K Arm-based AWS Graviton chips powered 5,800 distinct http://Amazon.com services - that's more than double the services in 2023.
By scaling #onArm, @awscloud had the compute capacity to ensure everything ran smoothly:…
⏰ Set your reminder!
Today at 1:05 pm PT, Arm CMO Ami Badani joins @theCUBE's AI Infrastructure Silicon Valley Executive Series to discuss the explosion of generative AI and innovation in chip technology.
Tune in here: https://okt.to/sF1y3c
We've been shortlisted for @Reuters Automotive D.R.I.V.E Honours 2024 for:
🌟 Innovation - for our tech accelerating AI-enabled software-defined vehicles
🌟 Empowering Women - Recognizing Dipti Vachani for her impact on the industry
Here's to our team that make it possible. 👏
AI is bringing many opportunities but there's also challenges with security.
Our report with @PSACertified is how you get ahead. Discover the insights you need to unlock the benefits of AI without compromising on security:
We're accelerating automotive software development cycles by enabling our partners to start innovating ahead of physical silicon availability.
Hear about our role in driving standardized, portable software and facilitating innovation in the SDV ecosystem: https://okt.to/LaZrtQ
MultiCub3r-X is a robot built #onArm.
It uses an image processing application on the Arm-based @Google Pixel 8 to calculate a sequence of moves, to solve the Rubik’s Cube in record time.
+ The @LEGO_Group mechanism turning the cubes is also based on Arm! See it in action. 👇
There are 4 new Google #Pixel9 phones - all built #onArm!
Each smartphone benefits from the performance and efficiency leadership of the Arm compute platform to enable next-generation AI capabilities.
Congrats to the team at @MadeByGoogle! 👏 #MadeByGoogle
👋Meet Raspberry Pi Pico 2
It features a dual-core Arm Cortex-M33 as the primary boot architecture to deliver higher performance and security for commercial applications.
Raspberry Pi CEO, Eben Upton, shares the features unique to Arm that make it great: https://okt.to/UiAVP9
Magic happens when you combine @GoogleCloud with the performance, efficiency, and flexibility of the Arm compute platform.
Get the details on how Google Cloud is driving custom silicon innovation with its Arm Neoverse-based Axion CPU. 👇
"Arm is already broadly adopted in the cloud, and it’s coming to the enterprise data center, no question."
In the AI era, Arm Neoverse offers the performance, efficiency, and flexibility that the modern data center needs. Here's why: via @MoorInsStrat
RESEARCH NOTE: Is Arm Neoverse the Datacenter’s Secret Weapon?
Nvidia is known as the GPU of choice for AI workloads. Its Hopper and Blackwell GPUs power virtually every ...
okt.to
🚀 Here's to another record breaking quarter!
Q1 FYE25 brought revenues of $939 million thanks in part to the rising adoption of Armv9 and Arm CSS, alongside our ecosystem of software and design partners committed to accelerating AI everywhere #onArm:
"If we don't start thinking about this power problem differently, we're never going to see this amazing technology that can truly change our lives"
Dipti Vachani speaks to @CNBCi on the importance of Arm to reduce power and pave the way to AI innovation.
Generative AI requires massive amounts of power and water, and the aging U.S. grid can't handle the...
Data centers are being built at a rapid pace to support generative AI, and concerns are mounting about whether w...
okt.to
At our Global Engineering Conference, our engineers came together to share the latest advancements in tech and discuss how we're building the future of computing together.
With a host of activities available, it offered a chance for discussion in a supportive environment.
🗓️ Join us on Wednesday July 31 for our next financial results conference call.
After market close, we'll report our earnings results for the first quarter of fiscal year 2025, followed by a conference call to review our results and business outlook: https://okt.to/koqGT0
The "Write Once, Deploy Everywhere" approach to code is key to seamless deployment for developers.
Through expert talks and demos @WeAreDevs, we demonstrated how this is a game-changer for building and deploying next generation apps at scale.
Thanks to everyone who joined us!🙌
With the escalating need for power-efficient systems, @FujitsuFNC's turned to Arm to build the FUJITSU-MONAKA CPU - a processor designed to help achieve energy savings of 40% in Japanese data centers by 2030.
+ That's without compromising AI innovation: https://okt.to/WM0F3A
Arm KleidiAI brings 30% performance improvements to @Google AI Edge's MediaPipe and XNNPACK running the Gemma 2B LLM. 💪
This is the first integration of many, as we enable more LLMs to run as effectively and efficiently as possible on Arm mobile CPUs: https://okt.to/qLW8He
