Record $51.2B Q3 Data Center Sales Fuel 73% NVIDIA Share Surge

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NVIDIA shares climbed 73% in nine months after Q3 revenue hit $57.0 billion, led by a 66% surge to $51.2 billion in data center sales. The company became the first to exceed a $4 trillion market cap in October 2025, highlighting its AI chip dominance.

1. Nvidia’s $2 Billion CoreWeave Investment Signals Strategic AI Infrastructure Bet

Nvidia announced a $2 billion equity investment in CoreWeave, expanding its ownership stake to just over 10 percent and underpinning a joint plan to build out 5 gigawatts of AI-optimized data center capacity by 2030. The deal locks in long-term demand for Nvidia’s GPUs and software stack, as CoreWeave commits to integrate Nvidia’s chip architectures and storage solutions into its specialized AI “factories.” For Nvidia, the move not only secures hyperscaler-like scale from a fast-growing AI compute provider but also addresses investor concerns around customer credit exposure by deepening alignment with a marquee partner. Analysts view the investment as a tangible vote of confidence in sustained AI infrastructure spending, while noting the speculative nature of long-horizon buildout plans and the risk that macroeconomic or competitive shifts could slow demand for high-end accelerators.

2. Long-Term Growth Outlook Underpinned by 2026–2030 Revenue and EPS Projections

Based on consensus Wall Street forecasts, Nvidia’s annual revenue is expected to rise from approximately $168 billion in fiscal 2026 to $266 billion by fiscal 2030, representing a compound annual growth rate near 13 percent. Net income is projected to climb from roughly $95 billion to $175 billion over the same period, lifting diluted earnings per share from $3.83 to $7.24. At a maintained price-to-earnings multiple of 50 times, these estimates imply a year-end 2026 share price near $300, scaling to about $318 by 2030. Even under a conservative P/E of 30 times, the 2030 target remains above $217, suggesting significant upside potential if Nvidia can sustain its leadership in GPU design, software ecosystem lock-in, and accelerating AI workloads across data centers, cloud, automotive, and edge computing applications.

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