Should You Buy Nvidia Stock Before May 28? Wall Street Has a Crystal-Clear Answer for Investors.

In This Article:

Key Points

  • Nvidia will announce financial results for the first quarter of fiscal 2026 after the market closes on Wednesday, May 28.

  • Nvidia is the gold standard in artificial intelligence because its accelerated computing platform spans hardware and software solutions.

  • Many Wall Street analysts have downwardly revised their earnings estimates in the last 90 days due to concerns about tariffs and export restrictions.

  • 10 stocks we like better than Nvidia ›

Nvidia (NASDAQ: NVDA) shares fell sharply earlier this year as investors worried about how tariffs and export curbs would impact revenue. However, the stock recouped its losses in May as hyperscale cloud companies raised their capital spending forecasts and the Trump administration revoked the Biden-era AI Diffusion Rule.

However, there is another inflection point on the horizon. Nvidia will announce its financial results for the first quarter of fiscal 2026 after the market closes on Wednesday, May 28. The stock has often been volatile after earnings events. For instance, it declined by more than 8% following the previous report.

Nevertheless, Wall Street has clear advice for investors: Among the 71 analysts who follow Nvidia, the stock has a consensus rating of "buy" and a median target price of $160 per share. That implies 22% upside from the current share price of $131. Here's what investors should know about Nvidia.

An investor sits at a desk while typing on a computer.
Image source: Getty Images.

The investment thesis for Nvidia

Nvidia specializes in accelerated computing, a discipline that pairs specialized hardware and software to speed up complex data center workloads, such as artificial intelligence (AI). The company is best known for its graphics processing units (GPUs), chips often referred to as AI accelerators. According to IoT Analytics, Nvidia has more than 90% market share in data center GPUs.

However, the company is truly formidable because it supplements its GPUs with adjacent hardware, like CPUs, interconnects, and networking gear, such that it essentially builds entire data centers. CEO Jensen Huang says the vertically integrated strategy lets Nvidia build systems with the lowest total cost of ownership.

Additionally, Nvidia has spent about two decades building its CUDA software platform, which now includes hundreds of code libraries, frameworks, and pretrained models that help developers build AI applications across a broad range of domains. That includes video analytics, speech recognition, recommendation engines, and customer service agents.

Importantly, while generative AI capabilities have recently been the driving force behind demand for Nvidia's accelerated computing products, the company is well positioned to maintain its leadership through the next phase of the AI revolution: self-driving cars and autonomous robots. "Physical AI and robotics will bring about the next industrial revolution," according to Jensen Huang.