OpenAI's Revenue Machine
OpenAI disclosed to investors in late March 2026 that its annualized revenue has reached $25 billion, according to documents reviewed by multiple financial outlets. The figure represents a staggering 150% increase from the $10 billion run rate reported in mid-2025 and cements OpenAI's position as the fastest-growing technology company in history by revenue.
The revenue milestone comes as the company is reportedly in advanced discussions with investment banks, including Goldman Sachs and Morgan Stanley, about an initial public offering that could take place in Q4 2026 or Q1 2027.
Revenue Breakdown
OpenAI's revenue is derived from several product lines, with the enterprise segment growing fastest:
- ChatGPT subscriptions (consumer): ~$8 billion annualized, driven by 350 million monthly active users
- API revenue (developer): ~$7 billion annualized, with 4 million+ developers on the platform
- ChatGPT Enterprise/Team: ~$6 billion annualized, with 850,000 business customers
- Other (licensing, partnerships): ~$4 billion annualized, including the Microsoft partnership
"The enterprise growth is the most impressive part," said Dan Ives, managing director at Wedbush Securities. "OpenAI is going from consumer darling to enterprise juggernaut at a pace that took companies like Salesforce and Microsoft decades to achieve."
Path to IPO
The IPO planning comes after OpenAI completed its restructuring from a nonprofit to a for-profit public benefit corporation in January 2026. The conversion removed a significant structural barrier to a public offering and simplified the governance structure.
Key IPO details, per sources familiar with the planning:
- Expected valuation: $300-350 billion, up from the $157 billion valuation in its last private round
- Offering size: $15-20 billion in primary and secondary shares
- Target listing: NASDAQ, under the ticker OPEN
- Timeline: S-1 filing expected in late Q3 2026
Financial Profile
Despite the massive revenue, OpenAI is not yet profitable. The company's annual operating costs are estimated at $22-24 billion, driven primarily by:
- Compute costs: $12-14 billion for training and inference compute, primarily through Microsoft Azure
- Talent: $4-5 billion in compensation for approximately 3,500 employees
- Research: $3-4 billion in fundamental research and model development
- Infrastructure and operations: $2-3 billion
OpenAI projects reaching profitability by mid-2027, assuming continued revenue growth and improving compute efficiency. The GPT-5 model, expected later this year, is reportedly designed to deliver significantly better performance at lower per-query compute cost.
Competitive Landscape
OpenAI's IPO would enter a public market already populated by AI-focused companies, but none approach its scale. Anthropic, its closest competitor, is estimated to have annualized revenue of approximately $6 billion. Google's Gemini products generate significant revenue within Alphabet, but are not broken out separately.
The AI industry is entering what analysts describe as a consolidation phase, with well-capitalized leaders like OpenAI, Anthropic, Google, and Meta pulling away from smaller competitors who lack the billions needed for frontier model development.
Investor Considerations
An OpenAI IPO at $300+ billion would make it one of the largest technology IPOs in history, comparable to Facebook's $104 billion debut in 2012 (adjusted for inflation). Key risks for public market investors include:
- Dependence on Microsoft for compute infrastructure
- Regulatory risk from AI legislation in the US, EU, and China
- Competition from well-resourced tech giants
- The unpredictable trajectory of AI capabilities and market demand
- Key-person risk around CEO Sam Altman
Despite these risks, demand for the offering is expected to be overwhelming. OpenAI represents the clearest pure-play bet on the AI revolution, and institutional investors who missed the early gains in Nvidia are eager for direct exposure to the AI application layer.
