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These 4 Billionaire Investors Sold Shares of AI Superstar Nvidia Ahead of Earnings -- Do They Know Something Wall Street Doesn't?

Summarized by NextFin AI
  • Nvidia's upcoming fiscal fourth-quarter earnings report on February 25, 2026, is anticipated amidst significant institutional divestments, with over 4.6 million shares sold by top money managers.
  • Major investors such as Israel Englander and Chase Coleman have reduced their stakes, indicating a potential recalibration of risk in a market perceived to be overheated.
  • Despite a projected earnings per share of $1.52 and revenue of $65.7 billion, Nvidia faces increasing competition from major clients developing their own AI chips, threatening its profit margins.
  • The stock's price-to-sales ratio exceeding 30 suggests a market peak, prompting concerns about a transition from growth hype to a more volatile valuation environment.

NextFin News - As the global financial community pivots toward the highly anticipated fiscal fourth-quarter earnings report from Nvidia scheduled for February 25, 2026, a series of high-profile institutional divestments has sent ripples through the technology sector. According to recent Form 13F filings with the Securities and Exchange Commission (SEC) for the period ending December 31, 2025, four of the world’s most influential billionaire money managers significantly reduced their stakes in the artificial intelligence (AI) powerhouse. The filings, which were finalized by the February 17 deadline, show a collective sale of more than 4.6 million shares by Israel Englander of Millennium Management, Chase Coleman of Tiger Global Management, Philippe Laffont of Coatue Management, and David Tepper of Appaloosa Management.

The scale of the selling is notable: Englander led the retreat by offloading 3,038,895 shares, while Coleman and Laffont followed with sales of 698,000 and 667,405 shares, respectively. Tepper, known for his early and aggressive bets on the AI cycle, pared his position by 200,000 shares. These moves come at a critical juncture for U.S. President Trump’s administration, which has emphasized domestic semiconductor manufacturing and AI leadership as pillars of national economic security. While Nvidia’s stock has surged nearly 1,200% since the start of 2023, the decision by these "smart money" titans to cash in ahead of a projected revenue beat suggests a calculated re-evaluation of the risk-reward profile in a market that many fear is reaching a fever pitch.

On the surface, the rationale for these sales could be dismissed as routine profit-taking. For fund managers like Englander, whose Millennium Management frequently utilizes complex hedging strategies involving options, fluctuations in common stock holdings are standard operational procedure. However, a deeper dive into the current market architecture reveals structural headwinds that may be prompting this billionaire exodus. According to Morningstar, while the FactSet consensus expects Nvidia to report earnings per share of $1.52 on revenue of $65.7 billion—a 70% year-over-year increase—the company is facing an unprecedented rise in "internal competition." Major customers, including Meta Platforms and Alphabet, are increasingly developing proprietary AI chips to reduce their multi-billion-dollar dependency on Nvidia’s Blackwell and Vera Rubin architectures.

This shift toward vertical integration by Big Tech represents a "wildcard" that threatens Nvidia’s historically high gross margins, which have hovered around 75%. As these tech giants optimize their own silicon for internal data centers, the scarcity that once allowed Nvidia to command premium pricing is beginning to erode. Furthermore, historical precedents of technological bubbles weigh heavily on the minds of seasoned investors. Every major technological shift over the last thirty years, from the dot-com era to the mobile revolution, has experienced a "correction phase" where infrastructure build-out outpaces actual business optimization. With Nvidia’s price-to-sales (P/S) ratio recently exceeding 30, a level historically associated with market peaks, the billionaires may be anticipating a transition from the "hype phase" to a more sober valuation environment.

Looking forward, the trajectory of Nvidia will likely serve as a bellwether for the broader U.S. equity market, where it currently holds an outsized weighting of nearly 8% in the S&P 500. While U.S. President Trump’s policies may continue to support the domestic tech ecosystem, the immediate future for Nvidia depends on its ability to maintain its compute superiority against a rising tide of both external rivals and former allies. The selling by Englander, Coleman, Laffont, and Tepper suggests that while the AI revolution is far from over, the era of effortless, triple-digit gains for Nvidia may be entering a period of significant volatility. Investors should watch the February 25 guidance closely, particularly regarding capital expenditure trends among the "Big Four" cloud providers, to determine if these billionaire exits were a premature retreat or a masterclass in market timing.

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Insights

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What historical trends can be observed in the chip industry?

What is the significance of billionaires selling Nvidia shares ahead of earnings?

What does the term 'internal competition' mean in the context of Nvidia?

How do recent sales of Nvidia shares reflect market sentiment?

What are the implications of major companies developing proprietary AI chips?

What are the potential long-term impacts of Nvidia's market position?

What structural challenges does Nvidia face in the current market?

How does Nvidia's P/S ratio relate to historical market peaks?

What insights can be drawn from the billionaires' divestments from Nvidia?

What are the expectations for Nvidia's earnings report on February 25, 2026?

How do U.S. policies impact the semiconductor and AI sectors?

What historical corrections have occurred during technological bubbles?

How might Nvidia's future performance affect the overall stock market?

What role do major cloud providers play in Nvidia's market dynamics?

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What does the term 'hype phase' refer to in market analysis?

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