
Nvidia beat Q3 estimates with EPS of $1.30 on revenue of $57.01 billion and issued a bullish Q4 revenue guide of $65 billion ±2% versus Street forecasts of $62 billion, driven by data-center sales of $51.2 billion as CEO Jensen Huang said Blackwell sales are “off the charts” and cloud GPUs are sold out; CFO Colette Kress added Blackwell Ultra is the leading architecture while China-specific H20 revenue was insignificant. The results underscore accelerating AI-driven demand and tight supply for GPUs, but shares fell about 3.2% on Thursday amid broader market weakness and notable investor selling (Peter Thiel’s fund and SoftBank), highlighting strong fundamentals alongside near-term volatility in the AI trade.
Nvidia reported Q3 EPS of $1.30 on revenue of $57.01 billion, beating Bloomberg consensus estimates of $1.26 and $55.2 billion, while guiding Q4 revenue to $65 billion ±2% versus Street expectations of $62 billion. The data-center business drove the beat with $51.2 billion in sales versus estimates of $49.3 billion, while gaming revenue of $4.3 billion slightly missed the $4.4 billion estimate; CEO Jensen Huang said Blackwell sales are "off the charts" and cloud GPUs are sold out. Markets reacted with a roughly 3.15% decline in NVDA shares amid broader weakness despite the strong print, and notable position exits from Peter Thiel's fund (~$100 million) and SoftBank (~$5.8 billion) highlight active investor rebalancing even as Nvidia briefly approached a $5 trillion market capitalization. Nvidia remains strong YTD (up ~37%) and over 12 months (up ~25%), while peer AMD has outperformed YTD, underscoring concentrated gains in the AI trade. Blackwell Ultra adoption and sold-out cloud GPU inventory provide near-term revenue visibility but create execution and supply-risk tradeoffs; CFO Colette Kress also noted China-specific H20 revenue was "insignificant," limiting near-term China exposure. Investor scrutiny and commentary — including Michael Burry's public criticism of data-center accounting — introduce potential sentiment and disclosure risks that could amplify volatility despite fundamentally strong demand indicators.
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