According to comprehensive reports from Reuters and other media outlets, NVIDIA's stock price created history on October 29, becoming the first company to reach a market capitalization of $5 trillion.
On October 28, NVIDIA's CEO Huang Renxun announced that the revenue generated by the Blackwell and Rubin chips could exceed $500 billion, and stated plans to build seven supercomputers for the U.S. government.
In addition, NVIDIA also announced it would invest $1 billion to acquire shares in Nokia to develop next-generation 6G technology.
NVIDIA Stock Price Trends
NVIDIA was founded in 1993 and first surpassed a $2 trillion market capitalization in February 2024, and then exceeded $3 trillion in June of the same year.
Since the launch of ChatGPT at the end of 2022, NVIDIA has gained huge profits from the surge in demand for AI hardware and chips. The AI boom has driven the S&P 500 index to record highs, with NVIDIA's stock price rising 12 times, while sparking debates about whether "overheated tech valuations could trigger the next major bubble."
Due to concerns over spending caused by DeepSeek and the risk of Trump's tariffs, NVIDIA's stock price fell into a slump at the beginning of the year, dropping to $86.61 in April, but then made an astonishing rebound—rising nearly 90% from its annual low.
This milestone of surpassing a $5 trillion market capitalization came just three months after NVIDIA crossed the $4 trillion threshold.
NVIDIA is scheduled to release its quarterly earnings report on November 19.
Aside from NVIDIA, tech giants such as Apple and Microsoft, which have deeply participated in the field of artificial intelligence, have also seen their market capitalizations break through $4 trillion in recent months.
Analysts said that the rise in NVIDIA's stock price reflects investors' confidence in continued investment in the field of artificial intelligence, but some people have warned that its valuation may already be at an excessively high level.
Matthew Tatter, CEO of Tatter Capital Management, pointed out: "The current expansion of artificial intelligence depends on a few dominant companies providing funding for each other's capacity. Once investors start demanding cash flow returns rather than being satisfied with capacity expansion, some parts of these positive cycles may stall."
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