Nvidia reports 73% revenue surge and raises outlook, lifting Asian tech stocks

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THE BARE STORY

Nvidia released its fiscal fourth-quarter earnings on Wednesday, reporting revenue of $68.13 billion, a 73% increase from the previous year. The results surpassed analyst estimates of approximately $66.2 billion. The company also issued a strong forecast for the current quarter, projecting revenue of about $78 billion, significantly higher than the consensus estimate of $72.6 billion. Adjusted earnings per share rose 82% to $1.62.

The company’s data center unit, which produces chips for artificial intelligence applications, generated $62.3 billion, accounting for more than 91% of total sales. Finance Chief Colette Kress stated that the company shipped the first samples of its new "Vera Rubin" AI system to customers earlier this week. CEO Jensen Huang attributed the sustained demand to the rise of "agentic AI" tools, asserting that "compute equals revenues" for customers. Management noted that supply commitments extend into calendar 2027, though constraints related to memory shortages are expected to persist in the near term.

Following the report, Asian technology stocks rallied in Thursday trading. In South Korea, Samsung Electronics rose approximately 5% and SK Hynix gained over 2%, while Japanese firms SoftBank Group and Sony Group also posted gains. Market analysts attributed the movement to eased concerns regarding a slowdown in AI infrastructure spending. Despite the positive results, Nvidia shares traded slightly lower or remained flat in extended trading, reflecting high investor expectations for the company, which is valued at nearly $5 trillion.

Nvidia’s financial outlook assumes no revenue contribution from China due to ongoing export control uncertainties. Although U.S. officials have discussed potential sales approvals, Kress confirmed that the company has not yet generated revenue from specific restricted products and is not factoring the region into its guidance. The company also acknowledged emerging competition from rival chipmakers and major cloud clients developing in-house proprietary silicon.

Same Facts. Different Perspectives.

Two AI models. Two viewpoints. One factual foundation.

• Vindication of Capital Allocation Nvidia’s ability to surpass estimates with $68.13 billion in revenue proves that the market’s massive investment in AI infrastructure is yielding tangible returns rather than mere hype. The CEO’s assertion that "compute equals revenues" validates the supply-side economic theory that investing in superior production capabilities drives downstream profitability. This represents a successful deployment of capital where technological efficiency acts as the primary engine for wealth generation.

• Global Supply Integration The immediate rally of Asian partners like Samsung, SK Hynix, and SoftBank demonstrates how high-value innovation in the U.S. acts as a rising tide for the global economy. Rather than extracting value, Nvidia’s demand for memory and manufacturing creates a robust ecosystem that boosts industrial output across South Korea and Japan. This interconnectivity proves that corporate success at the top of the chain incentivizes production and growth throughout the entire international logistics network.

• Strategic Market Discipline The decision to exclude China from guidance and the subsequent flat trading despite the earnings beat reflect a healthy, disciplined market that properly prices in risk. By not relying on restricted markets for revenue, the company demonstrates a commitment to long-term regulatory stability over short-term gains. Investors are correctly identifying that sustainable growth requires navigating export controls and emerging competition from cloud clients, favoring durability over explosive but fragile expansion.

How it may affect me

As a U.S. reader: Investors with exposure to the technology sector or broad index funds may see stabilized rather than explosive returns in the near term, as current stock prices appear to already reflect high expectations despite significant revenue growth. The concentration of AI chip supply among major data centers suggests that advanced "agentic AI" tools will likely be deployed primarily by large corporations, potentially creating high barriers to entry for smaller American businesses. Consumers and industries relying on high-performance computing may face continued hardware scarcity or delays, as memory shortages persist and supply commitments are already booked into 2027. The exclusion of China from revenue forecasts due to export controls indicates a long-term shift in the domestic tech economy, where growth is increasingly shaped by regulatory compliance and allied partnerships rather than open global trade.

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