Story
Nvidia Boosts Share Buyback Program by a Record $150 Billion
Summary
The chipmaker announced a historic increase to its stock repurchase plan, lifting its total buyback capacity to $235 billion, fueled by massive cash generation from the ongoing AI boom.
Nvidia (NVDA) has bolstered its share repurchase authorization by an additional $150 billion, a record-setting figure that underscores the company's immense cash flow from the artificial intelligence boom. The move, reported by Reuters on September 28, surpasses Apple's $110 billion buyback increase from 2024, marking the largest-ever boost to a stock buyback program.
Authorization Details
The board's approval lifts Nvidia's total remaining capacity for share repurchases to $235 billion. The company stated it expects to utilize this authorization through its fiscal year 2028.
Share buybacks reduce a company's number of outstanding shares, which can increase earnings per share (EPS) and is often interpreted by investors as a sign of management's confidence in future growth and a belief that the company's stock is a good investment.
Financial Strength and Market Reaction
The massive buyback is fueled by surging demand for Nvidia's processors, which are critical for training and running AI models. The company's robust financial position was highlighted by its $22.44 billion in cash and cash equivalents at the end of the July quarter, according to the report.
Ad"Our cash generation gives us the capacity to invest in the technologies that advance this transformation and return capital to shareholders," CEO Jensen Huang said in a statement. Following the announcement, Nvidia shares were up 0.8% in premarket trading.
Context and Outlook
The announcement comes as Nvidia continues its explosive growth trajectory. Last month, the company forecast approximately 70% revenue growth for fiscal 2028, addressing investor questions about the long-term sustainability of the AI-driven spending cycle.
While returning capital to shareholders, Nvidia has also been actively investing in AI startups and cloud service providers. This strategy has drawn some scrutiny from investors concerned that such funding may be indirectly supporting demand for its own chips.
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