Earnings Boost: Nvidia's Stock Price Target Revised by Wall Street Analysts

Thursday, 29 August 2024, 10:15

Earnings reports from Nvidia (NASDAQ: NVDA) have prompted Wall Street to revise its stock price target for the company. Analysts express optimism following strong financial results, including record revenue from the data center segment. With Nvidia's breakthroughs in AI technology, projections suggest significant growth ahead, igniting interest among investors.
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Earnings Boost: Nvidia's Stock Price Target Revised by Wall Street Analysts

Nvidia's Earnings Call Insights

Following Nvidia’s recent earnings call, where CEO Jensen Huang and CFO Colette Kress disclosed impressive results, Wall Street analysts have revised their stock price targets for the company. The report highlighted a remarkable growth trajectory in the company’s AI chip demand, aligning with Nvidia’s strategy to advance its Blackwell plans.

Wall Street's New Price Target Prediction

The latest data reveals that the average price target among Wall Street experts is now set at $150.31, indicating a potential increase of 19.66% from current levels. Some analysts maintain a robust outlook with a 'strong buy' rating.

Optimistic Forecasts by Analysts

  • Bernstein analysts increased their NVDA prediction from $130 to $155, noting strong sequential growth.
  • Citi analysts highlighted better-than-expected gross margins driven by AI demand.
  • Goldman Sachs presented multiple scenarios for Nvidia stock, predicting a price range between $47 and $230, with $135 as a base target.

Nvidia's Position in the Market

At the moment, Nvidia shares are trading at $125.61, reflecting some downward pressure. Despite this, the stock has gained 160.76% YTD, showcasing strong performance overall. Analysts suggest that while the earnings exceeded expectations, market sentiment may be affecting stock prices.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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