Nvidia stock (NASDAQ: NVDA) opened Friday’s trading bell at $216 and has been range-bound in August. Prices have not seen a spurt nor a downturn, and have been trading sideways for two weeks. Even during the ongoing price stagnation, Nvidia remains the undisputed monarch of the AI boom and commands a position at the top of the chain. Its significance cannot be erased because its fundamental strength outstrips its short-term price stagnation.
Also Read: Nvidia Earnings Report Due On Aug 26: What To Expect?
Nvidia Stock: Is NVDA Cheap or Expensive Now?
The latest data shows that Nvidia’s net income is soaring 70% year-over-year, and is increasing its valuation. With a market cap of $5.26 trillion, the numbers will only increase with the growing net income, making valuations rise faster. In addition, Nvidia guided to $91 billion in revenue for its upcoming quarter, and the majority of this came from the rising demand for the Blackwell and Vera Rubin platforms. Almost none of the company’s products are showing signs of slowing down, making Nvidia stock a prime buy candidate.
Other hardware companies survive on thin margins, but Nvidia dominates 64%+ operating margins. Even the Non-GAAP gross margins are operating above 70%, making revenues much stronger. Another development that makes Nvidia stand apart is that the company is not solely dependent on tech titans like Microsoft, Amazon, and Alphabet, among others, for revenues. It is financially backing AI hubs and infrastructure projects that are delivering an additional stream of revenue. This can keep Nvidia stock in the limelight, as the business is diversified across all platforms of AI.
Going through all these developments, Nvidia stock is trading at a structural discount compared to its earnings power. In conclusion, Nvidia stock is still cheap at the $216 level, as its business model is aligned perfectly with building the next-gen AI technology. Traders who take an entry position at these current levels can make the most out of it in the next five to 10 years. The AI industry is likely to stabilize then, as it fully enters the mainstream areas of everyday life.
