Nvidia Earnings to Test AI Data-Center Momentum
Nvidia earnings will be watched after May filings showed surging data center revenue and margins; late August results will shape trader positioning.
KEY TAKEAWAYS
- Fiscal Q1 revenue was $81.6 billion, up 85.0% year over year.
- Data Center revenue rose to about $75.2 billion, up 92.0% year over year.
- Management guided Q2 revenue near $91.0 billion and targeted mid-70% gross margins.
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Nvidia Corp. (NVDA) earnings will test the durability of its AI data‑center growth ahead of the expected Aug. 26, 2026 report, following a May 20 filing that showed a surge in revenue and margins while commentators flagged longer‑term pressure on the company’s CUDA advantage.
Earnings and Guidance
The filing and earnings call dated May 20, 2026 reported fiscal first‑quarter 2027 revenue of $81.6 billion, an 85.0% year-over-year increase and about 20.0% sequential growth. Data Center revenue rose 92.0% year over year to roughly $75.2 billion, highlighting the role of hyperscaler and enterprise AI spending in driving Nvidia’s top line.
The filing showed non-GAAP earnings per share (EPS) of $1.87, above consensus estimates near $1.76–1.78, and a non-GAAP gross margin of 75.0%. Management provided revenue guidance for fiscal second-quarter 2027 centered on approximately $91.0 billion, targeting mid-70% gross margins. This sets a high bar for the upcoming report and places hyperscaler capital expenditure under close scrutiny.
Strategic Risks and Financing
Nvidia’s management framed these results as part of a multi-year opportunity, expressing full confidence in capturing $1.0 trillion in Blackwell and Rubin revenue from 2025 through calendar 2027. CFO Colette Kress projects annual AI infrastructure spending of $3.0–4.0 trillion by the end of the decade, supporting demand for liquid-cooled Blackwell systems and other high-value platforms.
In the first quarter of fiscal 2026, U.S. export-license restrictions on the H20 chip led Nvidia to record a $4.5 billion charge related to excess inventory and purchase obligations, including about $2.5 billion of H20 sales that could not be completed. Analysts cite this episode when assessing regional and supply-chain risks.
Investor concerns have also focused on financing and capital allocation. Nvidia reportedly discussed underwriting up to $250 billion in funding tied to a major AI customer, raising warnings about potential circular financing, where the company helps finance customers who then buy its hardware. Reports also mention a large share-repurchase program around $80 billion and a 25-fold dividend increase as part of recent capital-return discussions.
Business coverage highlights that AI inference, software automation, and customer-built accelerators are beginning to shift workloads away from Nvidia’s CUDA ecosystem. This dynamic could erode the CUDA moat and pressure margins over multiple years. The upcoming earnings cycle will test whether continued hyperscaler capital expenditure and adoption of higher-value data-center platforms can sustain the company’s elevated revenue and margin profile.
