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Business

Time: 2024-05-23

NVIDIA's Financial Results Predictions for Q2 Fiscal 2025

NVIDIA's Financial Results Predictions for Q2 Fiscal 2025
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NVIDIA recently announced record quarterly revenue of $26.0 billion for the first quarter of fiscal 2025, showing an increase of 18% from the previous quarter and a substantial 262% increase from the same period a year ago. The company also reported a record quarterly Data Center revenue of $22.6 billion, which is up by 23% from the previous quarter and an impressive 427% increase from a year ago.

Looking ahead, NVIDIA's outlook for the second quarter of fiscal 2025 predicts revenue to reach $28.0 billion, with a margin of plus or minus 2%. Additionally, the company expects GP and non-GP gross margins to be 74.8% and 75.5%, respectively, with operating expenses estimated to be around $4.0 billion and $2.8 billion for GP and non-GP, respectively.

CEO Jensen Huang expressed optimism about the future, highlighting the growth opportunities in the data center segment driven by generative AI training and inference on the Hopper platform. He also mentioned the expansion of generative AI to various industries, creating multibillion-dollar markets.

With the introduction of new AI gaming technologies and optimizations for Windows, NVIDIA aims to enhance the performance of its GeForce RTX AI PCs and workstations. The company continues to collaborate with partners in the automotive sector, providing next-generation solutions for electric vehicles and transforming in-vehicle experiences with generative AI technologies.

Moreover, NVIDIA's recent announcement of a ten-for-one forward stock split and an increase in quarterly cash dividend indicate the company's commitment to enhancing shareholder value and making stock ownership more accessible.

Overall, NVIDIA's strong financial performance in the first quarter of fiscal 2025 sets a positive tone for the future, with strategic initiatives in place to drive growth across key segments and capitalize on the opportunities presented by AI and accelerated computing technologies.

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