Nvidia, Wall Street
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Shares were sliding as part of a broader selloff, with investors on edge ahead of the July 9 deadline for U.S. tariff deals.
Even at record highs, Nvidia’s stock may not be as expensive as it is touted to be. Some valuation metrics suggest room for upside
A Citi analyst sees Nvidia’s stock rising another 20% as the AI opportunity swells further, but he notes the risk of potential new geopolitical restrictions ahead.
Nvidia reached the $1 trillion mark on May 30, 2023, and the stock skyrocketed 239% for the year. Then in 2024, growth continued as Nvidia hit the $2 trillion mark on Feb. 23, 2024, and the $3 trillion mark less than four months later on June 5, 2024. For the full year, Nvidia stock rose 171% in 2024.
HSBC senior analyst Frank Lee says AMD is catching up to Nvidia. However, AMD stock only offers performance, but lacks ecosystem.
Nvidia stock trades at $163.87 as of July 10, 2025, reaching a record $4 trillion market cap amid surging AI demand.
Shares of Nvidia ( NVDA 0.75%) are flying once again following a difficult start to the year. The semiconductor giant's stock jumped 42% in the past three months, easily crushing the 15% gains clocked by the S&P 500 index during this period.
Citi analysts raised their price target for Nvidia stock to $190 from $180, citing growing demand for sovereign AI. Nvidia is “involved in essentially every sovereign deal," the bank said, as ...
Investing.com -- Citi has lifted its price target on Nvidia (NASDAQ: NVDA) to $190 from $180, citing a larger-than-expected total addressable market (TAM) for AI data center semiconductors and higher projections for both compute and networking revenues.
Nvidia remains the dominant AI chipmaker in the market, but where is the stock headed for the rest of this year and into the next?
Nvidia is soaring in the AI sector as nations rush to develop their sovereign AI capabilities, leading Citi to raise its price target for the tech giant. Discover how Nvidia is positioned to benefit significantly from the growing demand in the AI data center market and sovereign AI projects.