Did Nvidia Make a $40 Billion Mistake in Fiscal 2026?

Source Motley_fool

Key Points

  • Nvidia spent $40 billion on share repurchases last fiscal year, which amounts to 33% of its total net income.

  • Given the ongoing AI boom, it makes sense for investors to think the business should plow more capital into its operations to capture the opportunity.

  • Nvidia is positioned to live and die by the progress and adoption of AI capabilities.

  • 10 stocks we like better than Nvidia ›

With a market capitalization around $4.1 trillion (as of March 27), Nvidia (NASDAQ: NVDA) is by far the world's most valuable company. It's worth $420 billion more than Apple. That difference is roughly equal to the market cap of Chevron.

These are massive numbers we're talking about. It's all the direct result of Nvidia shares surging 1,200% in the past five years. The business deservedly gets a lot of praise for its dominant position at the center of the artificial intelligence (AI) boom.

Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »

However, investors should still pay attention to the management team's capital allocation moves. Did Nvidia make a $40 billion mistake in fiscal 2026 (ended Jan. 25)?

Nvidia name and logo on green filter with office in background.

Image source: The Motley Fool.

Plowing capital into share buybacks

Nvidia spent just over $40 billion on share buybacks in fiscal 2026. This is not an insignificant sum of money. It's equal to 33% of the company's $120 billion in net income, and it's nearly seven times higher than the $6.1 billion that Nvidia spent on capital expenditures (capex) last fiscal year.

At first glance, the critics might have a valid point. They might argue that some or all of this $40 billion is better off being spent on research and development (R&D) efforts or hardware and software capabilities. Businesses usually prioritize reinvesting in their own operations if they see opportunities that can strengthen their competitive positions. Given the tremendous growth that the company has been registering, investors might wonder why Nvidia doesn't allocate that money to further benefit from the ongoing AI boom.

"We look at our capital return, very, very carefully," CFO Colette M. Kress said on the fourth-quarter 2026 earnings call. "And we do believe that one of the most important things that we can do is really supporting the extreme ecosystem that's in front of us." The leadership team believes that its capital is going to the right places.

Nvidia already has a robust innovation pipeline. Its powerful graphics processing units, CUDA platform, and push into physical AI demonstrate this. Nvidia also acquires equity stakes in other AI companies. The most notable targets include CoreWeave, OpenAI, and Nebius.

Nvidia is spreading out its AI bets

Nvidia's ultimate fate is tied to AI. There's no getting around this reality. If AI doesn't live up to the hype, and spending on related infrastructure cools down, this company's financials will surely take a hit.

With its sizable share repurchase program, which still has $58.5 billion (as of Jan. 25) left in authorization, Nvidia is essentially spreading out its AI bets. This time, however, it's investing in itself.

If AI advances to the point that it penetrates more parts of the economy, Nvidia continues to win. Buying back its own stock will look like a smart move in hindsight. If AI doesn't work out, then the company loses. That's true whether it invests in R&D, capex, other AI enterprises, or its own shares.

Viewed through this lens, Nvidia is the poster child of the AI mega-trend.

Should you buy stock in Nvidia right now?

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Neil Patel has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Apple, Chevron, and Nvidia and is short shares of Apple. The Motley Fool has a disclosure policy.

Disclaimer: For information purposes only. Past performance is not indicative of future results.
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