OpenAI's $38.5 Billion Loss Sparks Pre-IPO Alarm Among Analysts

OpenAI's finances are drawing intense scrutiny ahead of what's expected to be a landmark IPO, after audited financial data revealed the company's losses exploded from $5 billion in 2024 to $38.53 billion in 2025 — a staggering sevenfold increase in a single year. Researcher and tech critic Ed Zitron published the findings on June 15, describing OpenAI's financial condition as 'deeply concerning' and questioning whether the company has any realistic path to sustainability, let alone profitability.

The numbers are alarming by almost any benchmark. Columbia Business School accounting professor Shivaram Rajgopal noted that OpenAI's costs ran at roughly 260% of revenue — a ratio historically far above what any comparable tech company carried when going public. He also flagged that $13 billion in revenue is not small-startup territory, making the cost structure even more anomalous. Compounding the concern: roughly 9% of that revenue came from just two strategic partners, SoftBank ($867 million) and Microsoft ($303 million), raising questions about whether that demand is genuine commercial traction or captive partner spending.

Futurum Equities chief market strategist Shay Boloor zeroed in on a specific financial pressure point: OpenAI spent more than $19 billion on R&D and paid Microsoft over $10 billion in R&D-related expenses, with total Microsoft payments around $17 billion. The implication is uncomfortable — OpenAI's most critical input, compute power, is largely rented from a company that is simultaneously a competitor, locking the AI giant into a structurally vulnerable position.

The financial picture is made more precarious by OpenAI's pricing strategy. Equity analyst Ross Hendricks of Porter & Company put it bluntly, arguing the company is effectively selling a dollar's worth of compute for $0.30 — and is still reportedly considering further price cuts to defend market share against Anthropic. Former Fidelity fund manager George Noble has called the situation a cautionary tale for the broader AI investment thesis. OpenAI did not respond to requests for comment.