Nvidia Stock Plunged 19% in Q1: Time to Buy?

Nvidia (NASDAQ: NVDA) has been unstoppable. Its chips have been the preferred choice for video gamers for years, and now they are prized by the world’s largest data centers. Over the last 10 years, the chipmaker’s annual revenue has soared from $4.7 billion to $130 billion.

Nvidia stock’s meteoric rise hit a roadblock this year as investors weighed the consequences of tariffs on chip demand, in addition to increasing competition and other risks. The stock was down 19% in the first quarter.

Demand for Nvidia’s chips is still strong. Analysts are sticking with full-year revenue estimates that call for an increase of 57%, but the recent dip in the stock clearly reveals some investors doubting whether those targets are realistic in light of near-term headwinds. Should investors start a position while the stock is down, or take a pass?

Nvidia is the dominant supplier of graphics processing units (GPUs) for data centers, which are used by all the leading cloud service providers. Its data center revenue jumped 93% year over year in the fiscal fourth quarter, with leading cloud services comprising about half of its data center business. Nvidia’s new Blackwell computing system generated $11 billion of revenue in the quarter.

“We’re going to have to continue to scale, as demand is quite high, and customers are anxious and impatient to get their Blackwell systems,” CEO Jensen Huang said on the fiscal Q4 earnings call.

The stock’s valuation looks very tempting, considering these demand trends. The shares trade around 24 times this year’s consensus earnings estimate — well below the stock’s five-year average trailing price-to-earnings (P/E) multiple of 80. A low P/E for a high-growth business can often signal undervaluation and set the stage for significant gains.

One reason the stock is down is the potential for increasing competition. Nvidia’s sky-high profit margin of 56% says it is pricing its chips at whatever the market can bear, which reflects its status as the main supplier for artificial intelligence (AI) chips. This is great for Nvidia’s profits, but it could push some of Nvidia’s customers to look for less costly alternatives. For example, ChatGPT model maker OpenAI is reportedly designing its own AI chips to lessen dependence on Nvidia.

Still, Nvidia has enormous resources to keep innovating to maintain momentum. Management said on the last earnings call that demand for AI inferencing is accelerating, driven by the popularity of models like OpenAI’s ChatGPT.