Chip giant Nvidia defies AI concerns with record $215bn revenue

Published: (February 25, 2026 at 06:22 PM EST)
2 min read

Source: BBC Technology

Nvidia boss Jensen Huang

Chip giant Nvidia has reported record annual revenue of $215.9 bn (£159.1 bn), beating analyst forecasts as sales for the last three months of its financial year jumped 73 % year‑on‑year.

“Computing demand is growing exponentially. Our customers are racing to invest in AI compute – the factories powering the AI industrial revolution and their future growth.” – Jensen Huang

Getty Images Nvidia's Jensen Huang, in his iconic black leather jacket, speaks on stage, gesturing with his hands up

Financial performance

  • Record revenue: $215.9 bn for the fiscal year.
  • Q4 sales increased 73 % compared with the same period a year earlier.
  • Nvidia’s market capitalization is around $4.8 tn, making it the world’s most valuable publicly‑traded company.

AI market position

  • Supplies chips to leading AI model developers, including OpenAI and Meta.
  • Gene Munster, managing partner at Deepwater Asset Management, noted that AI build‑out “is accelerating faster than people not using these tools can grasp.” (Posted on X, Wednesday).
  • Critics warn of “circular financing” deals that could obscure the true robustness of AI demand.

Geopolitical context

  • Nvidia’s outlook omitted expectations for chip revenue in China.
  • The U.S. administration recently allowed sales of the H200 chip (Nvidia’s second‑most advanced type) to Chinese customers under specific conditions, but a U.S. Commerce Department official reported that none have been sold yet.

Product expansion

  • At CES in Las Vegas, Huang unveiled a new platform for self‑driving cars.
  • The open‑source AI model, dubbed “Alpamayo,” aims to bring reasoning capabilities to autonomous vehicles.
  • Nvidia plans to launch a robotaxi service next year in partnership with an unnamed collaborator.
  • The company is strengthening its inference capabilities after acquiring rival Groq for $20 bn during Q4.

Nvidia continues to dominate AI training chips while expanding its footprint in inference and autonomous‑vehicle technologies.

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