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Wall Street analyst updates Nvidia (NVDA) stock price target

Wall Street analyst updates Nvidia (NVDA) stock price target
Paul L.
Stocks

American banking giant Goldman Sachs has reiterated its ‘Buy’ rating on Nvidia (NASDAQ: NVDA) stock while maintaining its $285 price target, reflecting continued confidence in the chipmaker’s long-term growth prospects.

The price target implies roughly 35% upside from NVDA’s press-time share price of $211.

NVDA one-week stock price chart. Source: Finbold

Goldman Sachs analyst James Schneider cited several catalysts that could drive further gains in Nvidia stock, including the company’s expansion into the PC market, continued leadership in data center infrastructure, and growing opportunities in agentic AI.

Schneider said Nvidia is well-positioned to benefit from rising AI adoption as businesses increase spending on advanced computing infrastructure. 

Goldman Sachs also pointed to the company’s expanding total addressable market and noted that the rollout of its next-generation Vera Rubin platform remains on track, reinforcing Nvidia’s leadership in AI and data center computing.

The reaffirmed Nvidia stock price target highlights Wall Street’s bullish outlook on the semiconductor giant, which has emerged as one of the biggest beneficiaries of the global artificial intelligence boom.

Wall Street bullish on NVDA stock

In this line, according to data from TipRanks, Nvidia carries a consensus ‘Strong Buy’ rating based on 40 analyst reviews. Of those analysts, 38 recommend buying the stock, while one rates it a hold and one recommends selling.

The average 12-month Nvidia stock price target stands at $309.86, implying approximately 46.8% upside from the current share price of $211.14.

NVDA 12-month stock price prediction. Source: TipRanks

Analyst forecasts range from a low target of $250 to a high target of $500, reflecting expectations for continued growth as AI-related demand fuels spending on advanced computing hardware.

The latest projections come as Nvidia continues to expand its AI ecosystem and prepares to launch next-generation products designed to support increasingly complex AI workloads.

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