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Nvidia$NVDA · filed: grew revenue 65.5% in FY2026 to $215.9BSound shipTrillion Score 667Fall Risk LowNext year $269.4B–$528.1B sealedCheck ▾Close ▴
What Nvidia filed
Grew revenue 65.5% in FY2026 to $215.9 billion, operating margin 60.4% against a 2.4% median for semiconductors & related devices, equity 76.1% of assets, and dividend per share up 1 year running. Every figure links to the filing it came from on Nvidia’s card. Sound ship: one warning sign. Trillion Score 667, #2 of 107 in its field; Fall Risk Low (how it is measured).
What the house said in advance
Revenue for the fiscal year after 2026-01-25 between $269.4B and $528.1B, an 80% range sealed on 24 Sept 2026 · receipt #1b3cda · graded in public by the revenue in Nvidia’s next annual report.
Figures as filed with the SEC. Ranges, scores and boats are statistical descriptions of past filings, not ratings or recommendations. Reporting, not advice.
In plain words
NVIDIA's **$250B** OpenAI backstop, if real, turns the chip maker into infrastructure bank — watch for consortium or sovereign co-investors by Q3.
$250 billion
in financial backing for OpenAI as part of a…
$100 billion
in initial capital deployment over four years to build…
$500 billion
worth of HBM3E memory supply from SK Hynix on…
$10 billion
Korea AI factory expansion with Naver and Brookfield
NVIDIA is in early-stage discussions to provide approximately $250 billion in financial backing for OpenAI as part of a data center project in Ohio, according to reports surfacing July 25. No formal agreement exists. Terms, collateral structure, and whether the commitment takes the form of debt, equity, or infrastructure guarantees remain undisclosed. The figure alone exceeds the market capitalization of Intel and approaches the GDP of Finland.
The Ohio project, first announced in January as part of the Stargate initiative, envisions $100 billion in initial capital deployment over four years to build AI training infrastructure across multiple states. NVIDIA's reported $250 billion backstop would suggest either a significant expansion beyond initial scope or a financing structure that anticipates multi-stage buildout extending into the 2030s. OpenAI has not commented. NVIDIA declined to confirm specifics beyond its ongoing infrastructure partnerships.
The number matters less for its plausibility than for what it signals about supply-chain dependency. NVIDIA locked $500 billion worth of HBM3E memory supply from SK Hynix on July 24, one day before the OpenAI financing reports surfaced. On the same day, NVIDIA announced a $10 billion Korea AI factory expansion with Naver and Brookfield, tripling capacity to 200 megawatts by 2028. The pattern is deliberate: NVIDIA is pre-purchasing future compute capacity at sovereign scale, then offering that capacity as collateral for customer financing. The chip maker becomes both vendor and underwriter.
This creates a circularity problem for allocators modeling AI infrastructure exposure. If NVIDIA finances the data centers that buy NVIDIA chips using NVIDIA-secured memory, the revenue multiples compress into what is functionally vendor financing dressed as capex. The question is not whether OpenAI can afford $250 billion in infrastructure — it cannot, absent similar backstops from Microsoft or new sovereign partners — but whether NVIDIA can afford the working-capital drag of financing its own order book at this scale. The company's Q1 cash position was $34.8 billion. A $250 billion commitment, even staged over a decade, implies off-balance-sheet vehicles, consortium structuring, or direct sovereign co-investment from Gulf or Asian state funds.
Allocators should watch three follow-ons in the next 90 days: any announcement of a special-purpose vehicle or consortium involving Abu Dhabi's MGX, Japan's GPIF, or Korea's NPS; NVIDIA's Q2 earnings call on August 27 for oblique references to "infrastructure partnerships" or "customer financing facilities"; and whether Brookfield, already active in the Korea deal, surfaces as anchor LP in a data-center debt fund. If NVIDIA is financing at this scale, it will not carry the paper alone.
The Ohio project remains unbuilt. The $250 billion figure remains unconfirmed. What is confirmed is that NVIDIA has spent $510 billion in 48 hours — $500 billion on memory, $10 billion on Korean capacity — securing the inputs for a future it is now prepared to finance directly.
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