Ambarella Hits Record Revenue on Strong Edge AI Chip Demand

SANTA CLARA, Calif. – February 26, 2026 – Ambarella, Inc. (NASDAQ: AMBA) today announced a landmark fiscal year, achieving record annual revenue and a decisive return to non-GAAP profitability, signaling that its deep investment in specialized artificial intelligence chips for edge devices is paying significant dividends. The company's financial results for the fourth quarter and full fiscal year 2026, which ended January 31, showcase robust growth and underscore its strengthening leadership in the burgeoning market for 'physical AI.'

For the full fiscal year, the edge AI semiconductor company reported revenue of $390.7 million, a staggering 37.2% increase from the $284.9 million reported in the previous year. The fourth quarter continued this strong momentum with revenues of $100.9 million, up 20.1% year-over-year. This performance was overwhelmingly driven by the company's strategic focus on AI, with its advanced edge AI Systems-on-Chip (SoCs) now accounting for 80% of total revenue.

“Our F2026 revenue grew 37%, achieving an annual revenue record,” said Fermi Wang, President and CEO of Ambarella, in the company's official announcement. “We continue to build upon our edge AI leadership as we execute on new products, enhance our Cooper Development Platform, build an indirect sales channel and establish a semi-custom/custom ASIC model.”

A Financial Turnaround Fueled by AI

Beyond the impressive top-line growth, Ambarella's report details a significant improvement in profitability. While the company still posted a net loss of $75.9 million for the fiscal year under Generally Accepted Accounting Principles (GAAP), this was a marked improvement from the $117.1 million loss in fiscal 2025. The more telling story for many investors lies in the non-GAAP figures, which exclude non-cash expenses like stock-based compensation and acquisition-related costs to provide a clearer picture of operational performance.

On a non-GAAP basis, Ambarella swung from a net loss of $6.8 million in fiscal 2025 to a net profit of $26.9 million, or $0.62 per share, in fiscal 2026. This turnaround highlights the successful commercialization of its long-term AI investments. The company’s financial health is further bolstered by a strong balance sheet, with cash, cash equivalents, and marketable securities growing to $312.6 million, up from $250.3 million a year prior, demonstrating seventeen consecutive years of positive free cash flow.

Looking ahead, Ambarella provided solid guidance, projecting first-quarter fiscal 2027 revenue to be between $97.0 million and $103.0 million. For the full fiscal year 2027, the company anticipates total revenue growth in the range of 10% to 15%, signaling sustained confidence in its market position and product roadmap.

Dominance in the Physical AI Market

Ambarella's success is rooted in its highly specialized CVflow® architecture, a proprietary technology designed for the efficient processing of complex computer vision and AI workloads directly on devices, rather than in the cloud. This low-power, high-performance approach is critical for the growing world of 'physical AI,' where machines must perceive, reason, and act in real-time within their physical environments.

The company has successfully embedded its technology across a wide array of industries. In the automotive sector, its SoCs power intelligent systems in vehicles from manufacturers like Ford, which uses the CV25 chip for an AI-powered truck bed camera, and in aftermarket devices from brands like Garmin. The enterprise security market is another major stronghold, with companies like IDIS and Dallmeier using Ambarella's AI chips to enable advanced features like intelligent motion detection and intrusion alerts in their latest cameras.

This market penetration has resulted in an installed base of over 42 million AI SoCs and approximately $1 billion in cumulative edge AI revenue. The company’s portfolio of 12 distinct AI SoCs supports over 370 unique customer AI projects currently in production, a testament to the versatility and power of its platform.

Building an Ecosystem for Future Growth

Ambarella is not merely selling chips; it is building a comprehensive ecosystem to accelerate AI adoption and secure its long-term growth. A key pillar of this strategy is the Cooper™ Developer Platform, a full-stack hardware and software environment designed to simplify the complex process of creating and deploying edge AI applications. By providing developers with pre-trained models, software development kits (SDKs), and tools that integrate with popular frameworks like PyTorch and TensorFlow, Ambarella is lowering the barrier to entry and fostering a loyal developer community.

Further diversifying its business model, the company is launching a semi-custom and custom ASIC (Application-Specific Integrated Circuit) division. This initiative allows large-scale customers to leverage Ambarella's core intellectual property to create bespoke chips tailored to their unique needs. The strategy is already gaining traction, with the company securing its first 2-nanometer custom chip project in the IoT space, an engagement that promises substantial future revenue.

To capture a broader segment of the market, particularly in fragmented industries like robotics, Ambarella is also developing an indirect sales channel. By partnering with distributors and system integrators, the company aims to reach a long tail of small and mid-sized customers it could not previously serve directly.

Riding the Generative AI Wave to the Edge

Perhaps the most forward-looking aspect of Ambarella's strategy is its aggressive push to bring generative AI, including Large Language Models (LLMs) and Vision Language Models (VLMs), out of the data center and onto the edge. The company's new N1 SoC series is specifically engineered to run multi-billion parameter models with remarkable efficiency. For example, it can run a sophisticated model like Llama2-13B at a speed suitable for interactive applications while consuming under 50 watts of power—a fraction of what a traditional GPU setup would require.

This capability unlocks a new frontier of applications. Imagine security cameras that can describe complex events in natural language, industrial robots that can understand multi-step spoken commands, or vehicles that can offer a new level of contextual awareness to the driver. By enabling these advanced AI workloads to run locally, Ambarella is addressing critical needs for privacy, reliability, and real-time responsiveness.

This technological edge, combined with a strong financial foundation and a clear strategic vision, has earned the company a 'Moderate Buy' consensus among market analysts. While navigating a competitive landscape, Ambarella's proven ability to execute and its leadership in the high-growth edge AI market position it to capitalize on the accelerating demand for intelligence in the physical world.