Nvidia Authorizes Historic $150 Billion Stock Buyback Program

Nvidia authorized an additional $150 billion under its existing share repurchase program, expanding its total remaining authorization to $235 billion through fiscal year 2028 as the chipmaker captures a surge in artificial intelligence infrastructure spending.

"NVIDIA's growth is being driven by a once-in-a-generation platform shift to AI and accelerated computing," said Jensen Huang, founder and CEO of NVIDIA, in a company statement. "Our cash generation gives us the capacity to invest in the technologies that advance this transformation and return capital to shareholders. This authorization reflects our confidence in the long-term opportunity ahead."

Scale of the Repurchase Program

The new authorization makes Nvidia the holder of the largest single stock buyback authorization increase in corporate history. The $150 billion figure eclipses previous large-scale capital returns in the technology sector, surpassing Apple's $110 billion share repurchase authorization announced in 2024.

In the public markets, Nvidia (NVDA) stock traded at $233.95, rising 1.34% from its previous close of $230.86, according to Finnhub market data as of October 2, 2026.

How Share Buybacks Operate

A share repurchase program allows a publicly traded corporation to buy back its own shares from the open market, reducing the total count of outstanding shares. This mechanism consolidates ownership percentage among remaining shareholders and typically increases earnings per share by distributing net income across a smaller equity base, provided net income remains stable.

Capital Allocation and AI Infrastructure Demand

The historic capital return arrives as data center operators and technology enterprises continue heavy investments in graphics processing units required to train and deploy frontier artificial intelligence models. By committing $235 billion in total remaining buyback capacity through fiscal year 2028, Nvidia's board is signaling that cash inflows generated from the AI computing boom exceed the capital expenditures needed for internal research, development, and supply chain expansion.