Ambarella (AMBA) investor relations material

Financial performance and outlook

• Fiscal 2026 revenue reached $390.7M, with Q4 revenue at $100.9M, reflecting 37.2% year-over-year growth and in-line EPS; street revenue estimates were raised by 3%.

• Q1 F2027 revenue guidance is $97.0M to $103.0M, with a midpoint of $100.0M; full-year F2027 revenue growth expected at 10–15%, following 37% and 26% growth in prior years.

• Non-GAAP gross margin for Q4 F2026 was 59.8%, with long-term guidance at 59%-62%; current margins are at the low end to drive leverage.

• Free cash flow was 14.8% of revenue for both Q4 and full fiscal 2026.

• Guidance remains conservative due to uncertainty in customer adoption of new products and ongoing geopolitical and supply chain risks.

Strategic initiatives and product cycles

• Edge AI now represents 80% of revenue, growing 50% last year, with 12 AI SoCs and 370 customer projects in production.

• Two new go-to-market strategies: indirect sales channels for smaller customers and a semi-custom chip strategy, with revenue contributions expected starting next year and in the first half of fiscal 2028.

• Significant R&D investment exceeding $1.3 billion in Edge AI over the past decade, with 17 years of positive free cash flow and no debt.

• New product cycles include advanced AI accelerators supporting up to 34 billion parameters, with future support for 100 billion.

• Third-generation AI products enable advanced GenAI networks and are expected to drive future growth.

Market segmentation and growth drivers

• IoT accounts for 78% of revenue, mainly from security and portable video, with green shoots in wearables, robotics, and edge infrastructure; IoT SAM was $2.5B in F2026, projected to $5.7B by F2031.

• Automotive is 22% of revenue, primarily from safety telematics and ADAS, with commercial truck wins in autonomy; Auto SAM estimated at $3.0B in F2026 and $7.2B in F2031.

• Edge AI SAM projected to grow from $5.5B in F2026 to $12.9B in F2031, an 18% CAGR.

• Security market is a foundational growth driver, with CNN-based cameras leading and GenAI products expected to drive higher ASPs.

• Expanding into edge infrastructure and new AI applications, including robotics and advanced automotive autonomy.