Nvidia Earnings Surge 8% QoQ, Break $1,000 Barrier

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Nvidia is gearing up to announce its first-quarter fiscal 2025 results this Wednesday, with all eyes on the tech giant as it leads the way in the semiconductor industry. The anticipation has already seen Nvidia’s stock climbing over 2% at the start of the week, indicating positive sentiment among traders and shareholders alike.

Analysts are expecting a solid performance from Nvidia, with projections of an 8% increase in earnings per share (EPS) compared to the previous quarter and an impressive 11% rise in revenue. This growth can be attributed to the soaring demand for Nvidia’s chips used in AI workloads, driving the company’s progress and success over the past year.

Industry experts like Stifel and Barclays analysts have raised their price targets for Nvidia, highlighting the strong demand for the company’s Graphic Processing Units (GPUs) like the H100 and H200 models. Despite new GPUs on the horizon, the existing models continue to dominate the AI market, fueling optimism among investors.

As Nvidia’s earnings call approaches, all eyes are on CEO Jensen Huang’s guidance following the results. The stock is currently hovering just below recent range highs, with potential support levels at $880 and $840 if the earnings report falls short of expectations. However, a positive outcome could propel Nvidia’s stock past the $1,000 mark.

Overall, the market sentiment is largely positive leading up to Nvidia’s earnings announcement, indicating confidence in the company’s performance and potential for growth in the semiconductor sector. Investors are eagerly awaiting Wednesday’s results to see if Nvidia can continue its upward trajectory in the tech industry.

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Advait Gupta
Advait Gupta
Advait is our expert writer and manager for the Artificial Intelligence category. His passion for AI research and its advancements drives him to deliver in-depth articles that explore the frontiers of this rapidly evolving field. Advait's articles delve into the latest breakthroughs, trends, and ethical considerations, keeping readers at the forefront of AI knowledge.

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