Nvidia's stock soared past $1,000 per share in after-hours trading following the company's impressive first-quarter earnings report and announcement of a ten-for-one stock split. The strong results, driven by surging demand for AI applications and Nvidia's GPUs, have analysts bullish on the company's future prospects.
Morgan Stanley's Joseph Moore has a bullish outlook on Nvidia, projecting a 21% surge in its stock price to $1,000 within the next 12 months. This optimism is driven by Nvidia's dominance in the AI market and strong spending trends, particularly from new customers like Tesla and various sovereigns1. Despite competition from Intel, Huawei, and Samsung, Moore believes Nvidia's competitive pricing of its new 'Blackwell' AI chip will help maintain its market share and surpass consensus earnings estimates1.
Nvidia announced a ten-for-one forward stock split, effective June 7, 2023, to make its stock more accessible to employees and investors.1 The company also increased its quarterly cash dividend by 150% to $0.10 per share.12
The stock split aims to attract a broader investor base and improve liquidity.
The significant dividend hike reflects Nvidia's strong financial position and commitment to rewarding shareholders.1
For the quarter ending April 28, 2023, Nvidia reported adjusted earnings of $6.12 per share on revenue of $26.04 billion, significantly surpassing the previous year's earnings of $1.09 per share on revenue of $7.19 billion1. Analysts had projected earnings of $5.58 per share on revenue of $24.53 billion, making Nvidia's performance a notable beat on Wall Street expectations1. The company's robust financial results were driven by a 427% increase in data center revenue, reaching $22.56 billion, fueled by strong demand for AI applications and the NVIDIA Hopper GPU computing platform12.
Nvidia's data center revenue skyrocketed by an astonishing 427% to $22.56 billion in Q1, exceeding analyst estimates of $21.32 billion.1 This remarkable growth was fueled by the surging demand for AI applications in the data center business, particularly the increased shipments of the NVIDIA Hopper GPU computing platform.1 The Hopper platform is widely used for training and inferencing with large language models, recommendation engines, and generative AI applications, highlighting Nvidia's strong position in the rapidly expanding AI market.12