Nvidia stock is down nearly 5% this year. Is now a good time to buy?


Tech investors have had a shaky start to 2026, and artificial intelligence (AI) is expensive Nvidia (NASDAQ: NVDA ) Not saved. As of this writing, the semiconductor giant’s stock is down nearly 5% year to date.

With shares taking a breather after an incredible multi-year run, investors may be wondering if this is a rare opportunity to buy a dip.

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Or is the market right to be cautious about stocks?

The Nvidia logo
Image source: Motley Fool.

Looking at the company’s recent results, it’s hard to find much to complain about. Business is undoubtedly strong.

In the fourth quarter of fiscal 2026 (ended January 25), Nvidia’s revenue was $68.1 billion, up 73% year over year. That top-line increase was fueled by the company’s mission-critical data center segment, where revenue jumped 75% from a year ago to a record $62.3 billion.

“The demand for computing is growing rapidly — the agentic AI inflection point has arrived,” CEO Jensen Huang noted in the company’s earnings release.

The company’s huge revenue growth effectively trickled down to the bottom line. Nvidia’s fourth-quarter earnings per share rose 98% year over year to $1.76.

And management is also putting its big cash generation to work. During fiscal 2026, Nvidia returned $41.1 billion to shareholders through share repurchases and cash dividends. Purchases of this scale demonstrate management confidence and directly benefit shareholders by reducing the total number of shares.

Even more, the company doesn’t foresee a slowdown anytime soon. Management has guided for revenue of approximately $78.0 billion for the first quarter of fiscal 2027, indicating that sequential growth will continue. Even more, this guidance represents acceleration, growing 77% year-over-year, compared to the 73% growth the company reported in fiscal Q4.

However, the problem lies in what the future holds as the AI ​​landscape matures.

The risk is not necessarily a sudden collapse in AI consumption. This is due to increasing competition and the potential for margin erosion over time as the competitive environment intensifies.

Hyperscalers love it Amazon (NASDAQ: AMZN ), the alphabetand Microsoft Today Nvidia spends a lot on graphics processing units (GPUs), but they rely increasingly on their custom silicon solutions. These big tech companies are some of Nvidia’s biggest customers, but it makes sense for them to find ways to reduce their dependence on Nvidia over time. Alphabet, for example, has spent years deploying its Tensor Processing Units (TPUs), while Amazon continues to leverage the cost-effectiveness of its Trinium chips for training AI models.

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