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MarketsNVDA +1.34%OCT 03, 2026

Nvidia Lifts Buyback by Record $150B to $235B, Signaling AI Compute Cost Floor Through FY2028

Jensen Huang's board authorized the largest share-repurchase increase in corporate history on Monday, a capital-confidence signal that AI infrastructure economics underpinning small-business GTM-tool pricing are locked in through fiscal 2028.

Nvidia’s board authorized an additional $150 billion in share repurchases on Monday, lifting remaining authorization to $235 billion and setting the record for the largest buyback increase ever disclosed by a public company. Shares rose 2.8%, pushing the market capitalization to $5.42 trillion. The increase alone exceeds the market cap of roughly 84% of S&P 500 constituents, per LSEG data cited by Reuters, and eclipses Apple’s $110 billion authorization from 2024.

The framing matters more than the number. Buybacks of this scale aren’t optimism; they’re a declaration that cash generation has outrun reinvestment capacity for a definable period. Nvidia expects to execute the program through fiscal 2028. That’s the window the company is willing to underwrite with its own balance sheet.

“NVIDIA’s growth is being driven by a once-in-a-generation platform shift to AI and accelerated computing,” CEO Jensen Huang said in the release. “Our cash generation gives us the capacity to invest in the technologies that advance this transformation and return capital to shareholders.” On CNBC’s “Squawk Box,” Huang called it “the largest infrastructure build-out in human history.” Semafor’s description, “the financial linchpin of the AI economy,” reads less like commentary than accounting.

The numbers back the posture. Nvidia closed the July quarter with $22.44 billion in cash and equivalents and guided in August to roughly 70% revenue growth for fiscal 2028. S&P Global Ratings projected combined hyperscaler capex above $1.3 trillion by 2027. NVDA now trades near 16.5 times forward earnings, its lowest multiple since January 2015 and roughly half its 15-year average of 30.

Read alongside Nscale’s $103.4 billion compute backlog disclosed in its S-1, the structural read is the same one the private side already offered: the compute cost floor is set, and demand through 2027 is spoken for. For the five-to-thirty-person company shopping AI-adjacent GTM tools on a monthly budget, that’s not a stock story. It’s a pricing-stability signal from the layer underneath every vendor’s margin.

The last time a chipmaker’s forward multiple compressed this hard while demand expanded, the equity was mispriced. Huang isn’t betting against that pattern. He’s buying it.

Sources

Henley Marrast
About the author
MARKETS DESK

Henley Marrast covers AI-equity flow, accelerator demand, and earnings prints for AI Sheet Report. She leads coverage of the public AI complex from the New York markets desk, with a focus on the daily tape and quarterly results. She has been writing about technology markets for several years.