Nvidia profit jumps 211%, fueled by record AI chip demand

Nvidia is still making the most money in the AI boom because it sells the scarce infrastructure everyone else needs. The Santa Clara, Calif. chip maker said profit in its latest quarter jumped 211% from a year earlier, a sign that the race to buy AI compute is still flooding one company with cash.

For the quarter ended April 26, 2026, Nvidia reported record revenue of $81.6 billion, up 20% from the previous quarter and up 85% from a year earlier. Data Center revenue reached a record $75.2 billion, up 92% year over year, showing that AI servers and accelerators remain the core of the business as cloud providers, foundation-model makers, AI startups and enterprise customers keep ordering more chips.

The company paired that growth with a more aggressive return of capital. Nvidia authorized an additional $80.0 billion in share repurchases and lifted its quarterly cash dividend from $0.01 per share to $0.25 per share, a move that reflects both confidence and the scale of the cash being generated by demand for its processors.

The latest quarter builds on a stretch of extraordinary results. In the quarter ended January 25, 2026, Nvidia reported revenue of $68.1 billion, up 73% from a year earlier, and said fiscal 2026 revenue totaled $215.9 billion, up 65% from fiscal 2025. Jensen Huang, Nvidia’s chief executive, said then that computing demand was growing exponentially and that the “agentic AI inflection point” had arrived. He called Grace Blackwell with NVLink the “king of inference” and said Vera Rubin would extend that leadership.

By November 19, 2025, Huang was already describing Blackwell sales as “off the charts” and saying cloud GPUs were sold out. That shortage dynamic remains Nvidia’s advantage: as long as the largest tech companies keep pouring capital into AI data centers, Nvidia keeps collecting the toll.

The harder question is how long that pace can last. Hyperscaler spending has to stay elevated for Nvidia’s growth curve to hold, and any slowdown in AI buildouts would quickly test the company’s grip. So could a better supply balance, a shift to less compute-intensive AI models, or stronger competition from alternative chips. For now, though, Nvidia is still the clearest winner in a market where access to compute is the product.