OpenAI Valuation: From $300B to a $730–850B IPO Filing

OpenAI filed confidentially for an IPO in June 2026 — Goldman Sachs and Morgan Stanley leading — targeting a $730–850 billion valuation for a September 2026 debut. The $300 billion price from its early-2025 secondary tender, a record at the time, is now just a waypoint on the chart.

That's the short answer. The longer answer is more interesting — annualized revenue hit roughly $25B in April 2026 (up from ~$20B at the end of 2025, ~$6B in 2024, and ~$2B in 2023), and yet Anthropic actually passed OpenAI in revenue that same month with a ~$30B run-rate, then beat it to the filing window with a June 1 IPO filing at $965B. The rest of this post walks through how the $300B era was priced, and what changed.

OpenAI Valuation 2026: The 60-Second Breakdown

OpenAI was valued at $300 billion in its October 2025 secondary tender led by SoftBank, with participation from Thrive Capital, Dragoneer Investment Group, and Abu Dhabi's MGX. That price reflected roughly 23x its then-$13B annualized revenue run-rate, a doubling from the $157B October 2024 round. By mid-2026 the company had repriced far higher — to roughly $852 billion — and filed confidentially for an IPO targeting a $730–850B debut. The breakdown below explains how that $300B mark was justified and what carried it to an IPO filing.

How the $300B OpenAI Valuation Was Set

The $300B figure is not a primary-round price — it's the per-share value of a structured secondary tender that let employees and early investors sell shares to SoftBank-led buyers. Tender offers usually clear at a discount to the headline number, but in OpenAI's case the tender priced at the same per-share level as the primary, which is itself unusual.

The valuation arc since 2019 tells the story better than any single number:

That's a 333x increase in 6.5 years. Even the AI-era curve from $29B (April 2023, two months after GPT-4) to $300B is a 10x in 30 months.

Revenue Mix: How OpenAI Gets to $13B ARR

When critics call OpenAI overvalued they usually focus on the multiple. But the underlying revenue mix has changed dramatically — and it's no longer just ChatGPT Plus subscriptions. Here's the run-rate breakdown:

Consumer revenue (Plus + Pro + Team) is now ~74% of total — that's the highest consumer mix of any frontier AI company by a wide margin. More detail on revenue trajectory here.

OpenAI Valuation 2026 vs Anthropic, xAI, and the Frontier Peers

The thing nobody mentions when calling OpenAI "overvalued" — its multiple is actually the lowest in the frontier AI cohort. Compare like-for-like:

23x is on the low end. Compared to public comps — Palantir at ~70x sales, CoreWeave at ~30x — OpenAI looks reasonable. The bull case isn't that 23x is cheap; it's that OpenAI has 2-3x the revenue base of any pure-play AI peer at a meaningfully lower multiple. See the full peer breakdown on the AI Valuations dashboard.

What Justifies the OpenAI 2026 Valuation

The bull case rests on four specific data points, each of which justifies meaningful multiple expansion on its own:

The Bear Case Against the $300B OpenAI Valuation

The bear case is concrete and worth taking seriously — most $300B price tags collapse under one or two of these risks, and OpenAI has all four:

OpenAI Valuation Path: IPO, Conversion, and the 2027 Question

There's no public listing in 2026 — the for-profit conversion has to close first, and SoftBank's incremental $40B is explicitly contingent on that restructuring. Realistically the sequence looks like:

For retail investors wondering how to get exposure before then — there are limited options. The SpaceX pre-IPO playbook applies almost identically to OpenAI: secondary brokers like Forge and EquityZen, accredited-only SPVs, and indirect exposure through Microsoft and SoftBank stocks.

What the $300B OpenAI Valuation Means for VCs and Founders

Three implications I think matter most for anyone investing in or building AI right now:

1. The frontier AI moat is now distribution, not model quality. OpenAI is the most-valuable AI company because it has 700M users, not because GPT-5 is meaningfully better than Claude 4 or Gemini 2.5. Founders building AI startups should optimize for the user, not the benchmark.
2. 23x ARR is the new ceiling, not the floor. Anything above $5B ARR caps around 20-25x. AI startups doing $10M ARR at 100x multiples are repricing toward 30x as they grow — meaning growth has to outrun multiple compression.
3. Capex commitments are the new dilution — track the numbers on the AI Spending dashboard. OpenAI committed $500B+ in compute against $13B revenue. The capital intensity of frontier AI means even winners give up enormous equity — Microsoft has 49%, SoftBank growing. That dynamic doesn't exist in SaaS.