Leaked financial docs show OpenAI is losing billions of dollars a year
**TL;DR:** Leaked financial docs show OpenAI is losing billions of dollars a year
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What we know
As OpenAI files SEC paperwork ahead of an expected initial public stock offering, newly leaked financial documents show a company with quickly growing revenues that are currently being overwhelmed by even larger expenses. 07 billion in 2025. The Financial Times, which reviewed the same documents , writes that the company's monthly revenues had grown to nearly $2 billion by the end of 2025, suggesting that its ongoing revenue rates continued to grow throughout the year. R&D expenses alone still easily outpace OpenAI's quickly growing revenues.
Credit: Ars Technica But the company's fast-growing revenues are still dwarfed by its even more significant expenses. 18 billion cost in 2025. 59 billion in R&D costs paid to Microsoft alone in 2025. Read full article Com
Source: Ars Technica
Context
AI coverage on iByte separates shipped capability from roadmap talk. The practical lens is cost, access, safety, and what changes for builders and everyday users.
Why this matters
The immediate headline is only the entry point. The more useful question is who gains leverage, who faces new risk, and whether the change is durable or experimental.
What to watch next
Watch for primary-source confirmation, changelog entries, and whether vendors publish remediation or rollout timelines.
Practical takeaways
1) Treat unconfirmed claims as provisional. 2) Check official statements before changing security or spending decisions. 3) Save links and dates so you can verify updates later.
FAQ
**Q: Is everything in this article confirmed?** A: The summary reflects publicly reported information at publication time. Analysis sections are clearly framed as context, not new reporting.
**Q: Will iByte update this page?** A: Yes. As primary sources publish more detail, this article can be refreshed without changing the URL.
Last updated: June 16, 2026.
Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.
Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.