OpenAI Valuation: $852B (Mar 2026) — Reportedly Eyes $1.4T

OpenAI is worth $852 billion — a mark set in March 2026 that held flat through an August 2026 tender offer, even as revenue doubled underneath it. Anthropic has since pulled further ahead on secondary markets, and as of late September 2026 OpenAI is in early talks to raise at least $30 billion at a valuation of about $1.4 trillion.

Sixteen months ago OpenAI was seeking $230 billion. It closed March 2026 at $852 billion, held that number through a $7 billion employee tender offer in August, and watched Anthropic's secondary price climb past $1.1 trillion the same week. This post breaks down how OpenAI got priced this high, what multiple that implies now that annualized revenue is reportedly nearing $70 billion, and why the gap to Anthropic — and the fresh talk of a $1.4 trillion round — matters more than the headline number.

What Is OpenAI's Valuation in 2026?

OpenAI is valued at $852 billion following a $122 billion funding round that closed in March 2026 at an $852 billion post-money mark (the round itself launched at a $730 billion pre-money valuation). That figure held flat as of a $7 billion employee tender offer OpenAI completed on August 10, 2026 — notable because OpenAI funded the buyback itself rather than bringing in new outside capital at a step-up. It is up from $500 billion in October 2025 and roughly 4x the $230 billion figure OpenAI was reportedly seeking in early-2025 fundraising talks. In mid-September, reports put talks for a new private round at $1.2 trillion (Fortune) to as much as $1.5 trillion (multiple reports). On September 29, Bloomberg reported a narrower target: OpenAI aims to raise at least $30 billion at a valuation of about $1.4 trillion, excluding the new capital, in a bridge round that would provide capital in place of an IPO, per Investing.com's summary of the report. The talks are at an early stage and terms could change. On October 5, Bloomberg added that UAE funds including Abu Dhabi's MGX had discussed investing as much as $10 billion collectively to anchor the round and that BlackRock was also in talks, per Investing.com. As of October 6, 2026, no closed round at a new valuation had been announced, so $852 billion remains the last confirmed mark.

OpenAI's Valuation, Round by Round

The climb from $500 billion to $852 billion took five months, and the mark has now held for six more — but the full arc from 2019 to today shows a company whose valuation roughly doubled or more in nearly every round since 2023. Below is every major disclosed data point, including the August tender that confirmed $852 billion again and the round talks that haven't closed yet.

Figures are blended from CNBC, Bloomberg, Fortune, Crunchbase News, TechCrunch, and OpenAI's own disclosures through early October 2026. Early-round valuations before 2023 are widely-cited estimates, not confirmed post-money figures; the September 2026 round is a reported negotiation, not a closed deal.

Does the OpenAI Valuation Make Sense on Revenue?

The multiple has actually improved. At $852 billion against an annualized revenue run rate that topped $40 billion in August 2026, per Bloomberg, OpenAI was trading at roughly 21x revenue — and against the run rate a source told Reuters was approaching $70 billion by September 29, the implied multiple is roughly 12x, down from ~34x when this post first tracked the $852 billion mark in March. Revenue itself has kept accelerating: OpenAI passed $1 billion ARR in mid-2023, hit $3.7 billion for full-year 2024, closed 2025 at $21.4 billion, reached ~$25 billion by mid-2026 (per The Information, with about $17 billion from ChatGPT subscriptions, $6.5 billion from API consumption, and $1.5 billion from Sora video and licensing), then roughly doubled again to $40 billion-plus by August — co-founder Greg Brockman told staff monthly run rate grew more than 20% in July alone — and was nearing $70 billion by late September, up more than 70% since the start of the third quarter, with enterprise sales more than doubling since July and third-quarter consumer revenue exceeding all of 2025, according to the Reuters source (Axios first reported the figure). Annualized run rate typically multiplies a single month's revenue by 12, so it is a pace, not booked annual revenue. CFO Sarah Friar told investors that same week that enterprise revenue had overtaken consumer revenue for the first time.

What doesn't scale as cleanly is spending. OpenAI's own internal projections, first reported by the Financial Times and covered by Bloomberg on September 18, 2026, show cumulative cash burn of roughly $278 billion from 2026 through 2030, against about $856 billion in projected compute spend over the same window — even as OpenAI itself projects revenue climbing from $36 billion in 2026 to $350 billion by 2030. Those are the company's own forecasts, not third-party estimates, and forecasts that far out are exactly the kind of number that gets revised. For context on how the rest of the market prices AI-native companies against this same revenue-multiple lens, see our breakdown of how AI company valuations are being priced, and track live multiples on our AI Valuations dashboard.

OpenAI Valuation vs. Anthropic and xAI: Who's Actually Winning?

OpenAI held the "most valuable AI startup" title for most of 2025, but Anthropic took it in May 2026 with a $65 billion Series H at a $965 billion post-money valuation, and has since pulled further ahead: by August 10, 2026, Nasdaq Private Market secondary data priced Anthropic above $1.1 trillion — roughly $250 billion clear of OpenAI's $852 billion tender price, the first time that crossover has happened. Anthropic is reportedly preparing to list on public markets as early as this fall at a target valuation north of $2 trillion, per Fortune's September 16 reporting, while OpenAI is choosing the opposite path: staying private through a reported $30 billion-plus bridge round at about $1.4 trillion rather than rushing a listing — a price that, if it holds, would place OpenAI above Anthropic's most recent private-market valuation, Bloomberg reported. Meanwhile xAI, after merging into SpaceX at a combined $1.25 trillion in February 2026, went public alongside SpaceX on June 12, 2026 and closed its first trading day near $2.1 trillion in market capitalization.

Figures are blended from CNBC, Bloomberg, Reuters, Fortune, TechFundingNews, TechCrunch, Forbes, and company announcements through early October 2026. "n/d" indicates run-rate revenue not disclosed at time of the mark. Secondary-market and in-talks figures are not audited or fully closed; treat them as directional, not final.

The $1.15 Trillion Bet Behind OpenAI's Valuation

OpenAI's valuation is a bet that the company can make good on roughly $1.15 trillion in infrastructure commitments stretching from 2025 to 2035, spread across seven vendors: Broadcom ($350B), Oracle ($300B), Microsoft Azure ($250B), Nvidia ($100B), AMD ($90B), AWS ($38B), and CoreWeave ($22B). The Oracle deal alone — more than $300 billion over five years — was reported as one of the largest single infrastructure contracts in tech history, and the Nvidia commitment includes 3 gigawatts of dedicated inference capacity plus 2 gigawatts of training capacity on next-generation Vera Rubin systems.

That's the tension at the center of the $852 billion number: even at a run rate nearing $70 billion, revenue doesn't come close to covering commitments of $1.15 trillion, so the valuation is really a bet that either revenue keeps compounding at its current pace, or that OpenAI raises again — probably at an even higher number — before any of these bills come fully due. OpenAI's own multi-year burn projection, detailed above, is that bet made explicit. For broader context on how capex-heavy bets like this ripple through public markets, see our Big Tech Earnings tracker.

What the headline misses: a flat tender price isn't the same thing as a market-tested valuation. OpenAI chose to fund its own August buyback rather than bring in outside investors at a new mark — a structure that let it avoid setting (and having to defend) a fresh external price. A company confident a step-up was available usually takes it; self-funding a tender is also consistent with a company that would rather not print a number below $852 billion, or isn't ready to negotiate a new one publicly while a reported $1.4 trillion round is still being worked out privately.

Will OpenAI IPO at This Valuation?

The timeline has gotten more specific, and further out. CFO Sarah Friar told staff in mid-August 2026 that OpenAI "will be a public company in 2027," according to CNBC — a later window than the September 2026 debut some bankers had once modeled. Sam Altman went further on September 12, telling Fortune that given the current climate around AI safety, "right now would be an ill-advised moment to go public," and that OpenAI feels no pressure to do so. That's the clearest signal yet that OpenAI is choosing private mega-rounds — the reported $30 billion-plus raise at about $1.4 trillion, which Bloomberg described as a bridge round in place of an IPO — over a near-term listing, even though the company confidentially filed IPO paperwork with the SEC back in June. Until a listing actually happens, accredited investors have several ways to buy OpenAI exposure today through Forge, EquityZen, and Hiive secondaries. Much of the IPO clock also depends on how cleanly Microsoft's 27% stake and the nonprofit's roughly $130 billion equity position hold up through the nonprofit-to-PBC restructuring.

Anthropic is racing the opposite direction. It's reportedly preparing to list as early as this fall at a target valuation above $2 trillion — a bet that public-market liquidity gets employees and early backers paid faster than OpenAI's private-round treadmill does. OpenAI's capped-profit structure still needs to be reconciled with a conventional listing before bankers can realistically run a roadshow — the for-profit conversion Sam Altman pushed through was largely built to clear that exact obstacle — while Anthropic faces a comparatively cleaner path, which is part of why some allocators view Anthropic as the more IPO-ready of the two labs even though OpenAI got to a trillion-dollar-plus conversation first.

What's Changed Since March: A Tender, a Revenue Surge, and a New $1.4T Ask

Nine developments since the March round moved this story, in order: On August 10, 2026, OpenAI completed a $7 billion employee tender offer, self-funded rather than backed by new investors, holding the valuation flat at $852 billion rather than printing a step-up. The same week, Anthropic's secondary price crossed $1.1 trillion on Nasdaq Private Market, pulling roughly $250 billion ahead of OpenAI for the first time, per that same CNBC report. On August 13-14, Bloomberg and CNBC reported OpenAI's annualized revenue run rate topped $40 billion — roughly double its late-2025 level — and that enterprise revenue had overtaken consumer revenue for the first time. On August 19, CFO Sarah Friar told staff OpenAI "will be a public company in 2027," pushing the IPO window later than earlier speculation. On September 16, reports put talks for a new private round at $1.2–1.5 trillion — unsigned, and coming just days after Altman called an IPO "ill-advised" right now. On September 18, the Financial Times obtained the internal burn-rate projection covered above, adding a hard number to the capex-vs-revenue tension the valuation already implied. On September 29, Bloomberg reported OpenAI aims to raise at least $30 billion at about $1.4 trillion, excluding the new money, as a bridge round in place of an IPO, per Investing.com, and the same day a source told Reuters the annualized run rate was approaching $70 billion. On October 1, SoftBank said it had completed its $30 billion investment tied to the March round, bringing its cumulative investment to $64.6 billion for a 13% stake, per Reuters. And on October 5, Bloomberg reported that UAE funds including MGX had discussed investing as much as $10 billion collectively to anchor the new round, with BlackRock also in talks, per Investing.com.

Read together, these point the same direction: OpenAI's fundamentals (revenue, enterprise mix) improved faster than its headline valuation moved, which is why the implied multiple compressed from ~34x to roughly 12x even with the price technically unchanged — but the financing story got more aggressive, not less, with a reported $1.4 trillion target arriving in the same month as a $278 billion self-reported burn projection. Separately, OpenAI added Nubank CEO David Vélez and BNY CEO Robin Vince to its board in July, standard pre-IPO governance building even with the listing itself pushed to 2027 or later.

What OpenAI's Valuation Signals for the Rest of the Market

For every other founder raising a Series B or C right now, the OpenAI-Anthropic valuation race is both a gift and a distortion. It's a gift because it drags multiples up across the entire AI stack — infrastructure, tooling, and application-layer companies all get priced with some reference to what the frontier labs are doing. It's a distortion because most companies raising today don't have OpenAI's distribution (800M+ weekly ChatGPT users) or Anthropic's enterprise foothold, and founders anchoring their own ask to a double-digit revenue multiple because "that's what OpenAI trades at" will get corrected hard in diligence.

The more useful signal is the gap itself. Anthropic pulled ahead of OpenAI on secondary markets not by having dramatically more revenue in absolute terms (Anthropic's $47B run rate as of May vs OpenAI's $40B+ as of August, both real but not overwhelming relative to $1T+ valuations) but by trading at a lower multiple while growing just as fast — investors rewarded the more capital-efficient growth curve, not just scale. That's a pattern worth remembering the next time someone tells you a bigger valuation always means a better business.

There's also a portfolio-construction lesson buried in here for LPs. A fund that got pro-rata rights in OpenAI at the $29 billion mark in 2023 is sitting on roughly a 29x markup by book value alone — before accounting for the fact that most of that gain is unrealized and illiquid until a secondary window or IPO actually opens. That's the same dynamic we track across VC fund performance broadly: paper markups compound fast in a bull market for a sector, but DPI (cash actually returned) lags TVPI (paper value) by years in exactly this kind of concentrated, mega-round-heavy portfolio. Funds that got early OpenAI or Anthropic exposure look extraordinary on paper right now; whether that translates to distributions depends entirely on how and when these companies eventually go public or get acquired.