Key Takeaways:
- Ambarella reported Q1 revenue of $100.4M, up 17% from a year earlier
- Non-GAAP EPS of $0.11 topped analyst estimates
- Automotive revenue hit an all-time record as AI adoption accelerated
Key Takeaways:

Ambarella reported fiscal first-quarter revenue of $100.4 million, narrowly beating estimates, as automotive revenue reached an all-time record.
"In Q1 we delivered on our key financial guidance while extending our edge AI platform leadership," Chief Executive Officer Fermi Wang said.
Non-GAAP diluted earnings per share came in at $0.11, compared with $0.07 a year earlier and above consensus expectations. Revenue rose 17% from $85.9 million in the same period last year. The company guided for second-quarter revenue of $103 million to $107 million, implying sequential growth of 3% to 7%.
Shares fell in aftermarket trading as the narrow beat and in-line guidance failed to excite investors already pricing in strong AI-driven demand. The company ended the quarter with $277.8 million in cash and marketable securities.
Automotive revenue achieved a new all-time record during the quarter, driven by rapid adoption of AI in commercial vehicles, Wang said. The company's edge systems-on-chip integrate AI acceleration, perception, fusion and CPU functions into a single chip, a design approach that Wang said is attracting broader customer relationships and opening new markets such as edge infrastructure and robotics.
Ambarella's non-GAAP gross margin came in at about 59.9%, compared with 58.4% on a GAAP basis. The company reported a GAAP net loss of $18.1 million, or $0.41 per share, narrowing from a loss of $24.3 million, or $0.58 per share, a year earlier. On a non-GAAP basis, net income was $5 million, up from $3 million in the prior-year period.
The company's board authorized a new $50 million share repurchase program through June 30, 2027, to replace the existing program expiring this month. Ambarella repurchased 47,798 shares for about $2.4 million in the first quarter.
The guidance raise signals management expects AI demand to sustain across automotive and emerging edge infrastructure markets. Investors will watch the company's Q2 earnings call for updates on new higher-ASP products targeting more complex AI workloads, including vision-language models and GenAI applications.
This article is for informational purposes only and does not constitute investment advice.