Observed Signal · Jun 22, 2026 · Financial Leak · Source: Prof G Media · Impact: 4/5 · Sentiment: Negative
Leaked OpenAI Financials Reveal Massive 2025 Loss
Leaked financial statements show OpenAI reported roughly $13.1 billion in revenue for 2025 but a huge net loss of about $38.5–$39 billion, driven by a one‑time restructuring charge (~$30 billion) and steep operating losses. OpenAI’s R&D spend jumped to $19 billion and sales & marketing rose to $5.7 billion (about 44% of revenue). The report raises questions about OpenAI’s reported $852 billion valuation and sustainability ahead of expected IPO activity for OpenAI and Anthropic later this year. The piece contrasts OpenAI with Anthropic, which the author and cited reporting project will see much faster path to profitability (estimates cited: Anthropic revenue growth and an estimated smaller loss). The article situates these numbers within broader market behavior (potential IPO pops, high investor appetite) and notes related tech-company news including Snap’s new AR glasses and its market-value drop.
Leaked financials of two leading AI labs (OpenAI, Anthropic) affect valuations, investor appetite, IPO plans, and market expectations for AI spending and monetization — material for tech, media and advertising ecosystems.
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Key Takeaways & Evidence Grounding
- OpenAI reported approximately $13.1 billion in revenue for 2025 (up ~240% year over year).
- OpenAI’s reported net loss for 2025 was about $38.5–$39 billion, including an estimated ~$30 billion one-time charge tied to restructuring out of nonprofit status.
- OpenAI’s research & development expenses rose to $19 billion in 2025 (up from $8 billion the prior year).
- OpenAI’s sales and marketing spend increased to $5.7 billion in 2025, representing ~44% of revenue.
- Anthropic is reported/estimated to have revenue momentum (The Wall Street Journal cited a projected 130% YoY surge to $10.9 billion in Q2) and the article cites an asserted $47 billion ARR for Anthropic while estimating Anthropic’s 2025 loss at roughly $11 billion.
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OpenAI and Anthropic Report Massive Losses
This analysis examines leaked and reported financials for leading AI labs and concludes current business models are deeply unprofitable. Leaked OpenAI 2025 accounts (obtained by Ed Zitron and verified by the Financial Times) show $13 billion in revenue but a $38.5 billion net loss; the author calculates a no-nonsense operating loss of $20.92 billion based on disclosed line items. Anthropic reported $4.5 billion in revenue last year and a self-reported ARR of $47 billion in May, but the company also lost nearly $6 billion in 2024 and its path to profitability appears conditional and dependent on discounted contracts and uncertain compute costs. The author estimates Anthropic’s operating loss at roughly $11 billion under reasonable assumptions. The piece argues Anthropic could theoretically reach profitability under optimistic scenarios, while OpenAI remains far from viable without major revenue growth or aggressive cost cuts.
OpenAI Growing; Anthropic Posts Profit
The article compares recent financial developments at OpenAI and Anthropic. OpenAI's revenue rose to about $6.7 billion in Q2 2026 but its operating loss widened to $12.3 billion, and the company expects continued high losses for 2026. Anthropic has pursued a different strategy focused on enterprise customers: Reuters reports an annualized revenue run rate above $65 billion at the end of July, up from about $9 billion at the end of 2025, and the company recorded a small operating profit in Q2. The piece highlights how differing customer focus and monetization approaches (consumer freemium/ads vs. enterprise sales) affect growth and profitability in the AI industry.
WSJ Reveals OpenAI and Anthropic Divergent Financials
The Wall Street Journal published confidential financial documents from OpenAI and Anthropic that were shared with investors ahead of recent funding rounds and anticipated IPOs. The filings show strikingly different economics: OpenAI projects roughly $121 billion in compute spending in a single year, while Anthropic’s training costs are described as starting near zero relative to revenue and declining rapidly as a share of sales. The piece argues the key takeaway is not just the headline numbers but the structural divergence in how the two companies plan to survive, scale, and monetize frontier AI models — implying different bets on capacity, cost structure, and long-term competitiveness within the AI infrastructure market.
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