Observed Signal · Aug 26, 2026 · earnings · Source: SEC API · Impact: 4.9/5
10-Q Financial Filing Analysis for NVIDIA (2026-08-26)
NVIDIA Corporation reported exceptional financial results for the second quarter of fiscal 2027 ended July 26, 2026, with quarterly revenue reaching $96.22 billion, up 106% year-over-year, driven by massive demand for accelerated computing and the ramp of its Blackwell Ultra data center architecture. Net income surged 126% year-over-year to $59.69 billion ($2.46 per diluted share), supported by a gross margin expansion to 75.0%. Data Center platform revenue rose 117% year-over-year to $89.02 billion, reflecting broad-based adoption across hyperscalers and AI cloud partners. To meet surging multi-year infrastructure requirements, NVIDIA substantially expanded its strategic supply and capacity commitments to $279 billion. Furthermore, NVIDIA entered into credit support guarantees capped at up to $105 billion with SB Energy Corp. for OpenAI's 4.25 GW data center buildout at the PORTS campus, while expanding capital returns via an additional $80 billion share buyback authorization and an increased quarterly dividend of $0.25 per share.
NVIDIA is transforming the economics of AI infrastructure through unprecedented balance sheet scale, orchestrating massive long-term supply agreements and backing multi-gigawatt data center leasing facilities with tens of billions in credit guarantees.
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Key Takeaways & Evidence Grounding
- Total revenue for Q2 fiscal 2027 reached $96.22 billion (+106% YoY), with Data Center revenue expanding 117% YoY to $89.02 billion.
- Supply and capacity commitments surged sequentially from $119 billion to $279 billion to secure long-term wafer, memory, and infrastructure manufacturing capacity.
- Committed to up to $105 billion in credit guarantees with SB Energy Corp. supporting OpenAI's 4.25 GW data center lease deployment in Ohio.
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Nvidia Soars with $68 Billion Revenue in Record Quarter
Nvidia reported a record quarter driven by rapid AI compute demand, announcing $68 billion in quarterly revenue (up 73% year-over-year) and $215 billion in revenue for the full fiscal year. Data center sales accounted for $62 billion of the quarter, split into $51 billion in compute (primarily GPUs) and $11 billion in networking (including NVLink). CEO Jensen Huang emphasized exponential token demand and tight cloud GPU capacity; CFO Colette Kress said approved H200 exports to China have not generated revenue. Nvidia reiterated ongoing talks toward a potential investment in OpenAI (reported at about $30 billion) but filed that there is no assurance the deal will occur. The company defended its capex commitments as necessary for AI-driven revenue growth and noted competitive progress by China-based firms like Moore Threads.
Nvidia Q2 Earnings: Results, Memory Prices, AI Outlook
CNBC provides live coverage of Nvidia’s fiscal second-quarter 2027 earnings, noting analyst estimates of $2.10 earnings per share and $92.17 billion in revenue (LSEG). The story highlights expected 75% gross margins, rising memory costs amid a global shortage, and reported price hikes for some AI chips. Nvidia’s new Vera Rubin AI systems have begun shipping to customers including Microsoft and OpenAI. CEO Jensen Huang’s announced financing program with six financial firms — pledging up to $500 billion in potential financing/backstops — is also discussed. Analysts and investors are watching sales ramps for new systems, supply issues, and the company’s financial strategy on the earnings call.
Nvidia stock jumps after blockbuster earnings
Nvidia shares rose about 6% in premarket trading after the company reported strong earnings and provided upbeat revenue guidance for fiscal 2028. CFO Colette Kress forecasted 70% revenue growth for fiscal 2028, while CEO Jensen Huang said demand likely exceeds that figure but supply constraints limit shipment. Nvidia said its AI Clouds, industrial, and enterprise (ACIE) customers generated $40.3 billion in sales for the quarter, up 138% year-over-year. Analysts noted supply issues at TSMC and memory shortages, and some flagged a potential competitive threat from custom AI chips being developed by hyperscalers and AI labs.
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