Nobody is going to hand you an OpenAI IPO price prediction from the company, because OpenAI has never published a share count — and without one, a valuation headline tells you nothing about w
Nobody is going to hand you an OpenAI IPO price prediction from the company, because OpenAI has never published a share count — and without one, a valuation headline tells you nothing about what a share costs. That gap is fillable. Forge Global publishes both halves of the equation: an OpenAI price of $721.85 against an implied valuation of $894.33bn as of 28 August 2026. Divide one into the other and OpenAI is carrying roughly 1.24bn shares. Run the widely reported $1 trillion IPO target through that share count and the answer is $807 per share — a 12% step up from where accredited buyers are marked today, not the moonshot the trillion-dollar headline implies. The gap between "a trillion dollars" and "twelve per cent" is the single most useful number in this entire story, and almost nobody is quoting it.
That framing changes what the trade actually is. A retail investor reading "$1 trillion IPO" hears a once-in-a-decade repricing event. What the arithmetic says is that the private market has already marked OpenAI to roughly 89% of its own IPO target, and that anyone buying pre-IPO exposure today — through a secondary platform, a broker's CFD, or a crypto exchange's pre-IPO perpetual — is underwriting a 12% move on the headline case and a substantial loss on anything below $894bn. Meanwhile the timeline has slipped. OpenAI CFO Sarah Friar told an August all-hands that the company "will be a public company in 2027," not 2026. Paying today's mark for a listing that is eighteen months out is a very different proposition from front-running one that is eighteen weeks out, and the pre-IPO products now proliferating across crypto venues are, for the most part, not priced as though anyone has done that division.
OpenAI's implied price per share at each valuation level, on roughly 1.24bn shares back-solved from Forge Global's own price and implied valuation. The $1 trillion headline is worth $807 a share — about 12% above where the private market already marks the company. Chart: FinanceFeeds. The method is deliberately boring, because every alternative is worse. OpenAI does not disclose shares outstanding, so any per-share figure has to be inferred from a source that publishes a price and a valuation derived from the same model. Forge does exactly that: its Forge Price is a modelled figure drawing on primary round pricing, completed secondary transactions, and live indications of interest across Forge and other private venues. Using Forge's own pair keeps the numerator and denominator internally consistent. Back-solving from the $852bn Series G post-money against a price sourced elsewhere would mix two different measurement bases and produce a share count that is wrong in an unknowable direction.
On roughly 1.24bn shares, the ladder is straightforward. A $600bn outcome is $484 a share. $750bn is $605. Today's $894.33bn Forge mark is the $721.85 it says on the tin. The $1 trillion target is $807. A $1.2 trillion debut would be $969, and $1.5 trillion — the number circulating among the most aggressive AI bulls — would be $1,211.
Two things can break this, and both cut the same way. The first is primary issuance. Every IPO sells new shares, and OpenAI's cash needs are enormous — a $14bn projected loss for 2026 and compute commitments that dwarf it. If the company issues 10% new equity at the offering, the $1 trillion target is spread across roughly 1.36bn shares and the implied price falls to about $735, barely above today's mark. A large primary raise is the single most likely reason a trillion-dollar valuation delivers a disappointing per-share print.
The second is the capped-profit and non-profit-control structure. OpenAI's equity is not a plain common stock, and the conversion mechanics of its restructured entity determine what a public share actually represents. Until the S-1 goes public, nobody outside the company knows the exact fully-diluted count or the terms attaching to it. Treat $807 as the arithmetic consequence of a stated valuation target and a market-implied share count — not as a forecast, and certainly not as a price at which anything is currently offered.
The most interesting response to OpenAI's listing delay has not come from Wall Street. It has come from exchanges and brokers building synthetic access to a stock that does not exist yet.
Binance added an OpenAI pre-IPO perpetual after its SpaceX equivalent cleared $280m in volume, and OKX followed with OpenAI and SpaceX pre-IPO perpetual futures. On the regulated brokerage side, STARTRADER listed OpenAI and Anthropic pre-IPO CFDs and PU Prime expanded its pre-IPO product range to both names. Separately, Bitget's OpenAI-connected token offering passed $100m ahead of its close.
The cross-industry parallel here is exact, and it is not to equities. It is to the sports betting market's invention of the futures book. When an outcome is genuinely uncertain and genuinely far away, the demand to express a view arrives long before any settlement mechanism exists — so the venue manufactures one, and the manufactured instrument trades on sentiment rather than on the underlying, because there is no underlying to arbitrage against. A pre-IPO perpetual on OpenAI has no deliverable. It cannot be arbitraged against Forge, because Forge is accredited-only and its inventory is transfer-restricted by OpenAI itself. The result is a price that is free to detach from the $721.85 mark in either direction, indefinitely, with funding rates as the only tether.
That is a structurally important point for anyone running a brokerage desk. These products are not a cheaper route to the same exposure. They are a different exposure — one whose reference price is set by the venue's own methodology, whose settlement on an actual listing is a contractual question rather than a market one, and which carries no claim on OpenAI equity whatsoever. The spread between a perpetual's mark and the $807 arithmetic above is not an arbitrage. It is a measure of how much retail is willing to pay for access it cannot otherwise get.
Here is the synthesis that the OpenAI and Anthropic coverage keeps siloing. OpenAI is asking roughly $1 trillion against annualised revenue that exited 2025 above $20bn and a projected $14bn loss for 2026 — call it 40 to 50 times revenue, on a business guided to profitability in the early 2030s. Anthropic's reported $2 trillion figure sits against a revenue run rate that passed $65bn by July 2026, which is roughly 31 times revenue, on a business projected to have posted an operating profit in Q2 2026.
The company with the smaller headline number is the more expensive stock. That is not how anyone is reading these two IPOs, and it is directly checkable from public figures.
OpenAIAnthropicLast private mark$894.33bn (Forge, 28 Aug 2026)$965bn post-money (Series H)Implied price per share$721.85$729.87 (Nasdaq Private Market, 19 Aug)Reported IPO target~$1 trillion~$2 trillion (press-reported, not company-fixed)Implied price at target$807$1,513Step-up from today's mark+11.8%+107%Revenue run rate$20bn+ (end-2025 exit)$65bn+ (July 2026)Implied revenue multiple at target~40–50x~31xProfitability$14bn projected 2026 loss; profitable early 2030sQ2 2026 operating profit projected at $559mTiming guidance2027, per CFOOctober 2026 reported; not company-confirmedRead the "step-up" row carefully, because it is where the risk actually lives. OpenAI's private market has already priced in most of the trillion. Anthropic's has priced in almost none of the two trillion. If both companies list at their reported targets, an Anthropic pre-IPO holder more than doubles and an OpenAI pre-IPO holder makes twelve per cent. If both list at half their targets, the OpenAI holder loses roughly 45% and the Anthropic holder loses roughly 30%. The asymmetry runs against OpenAI on both sides — which is a strange place for the market's consensus favourite to sit, and it exists precisely because the private market did the marking up already.
Prediction markets have been tracking the timing question directly. FinanceFeeds has previously walked through the S-1-to-pricing arithmetic in a deep dive on the Polymarket OpenAI IPO contract, which found that nine of the last ten comparable large US IPOs priced within 85 to 110 days of confidential filing, median 78 days. OpenAI is now well past that window from its 8 June filing without a public S-1. When a company blows through the historical base rate for its own filing cohort, the base rate stops being the right model — and Friar's 2027 comment is the explanation.
Two regulatory facts shape this listing more than any valuation debate.
The first is that retail cannot legally buy OpenAI today. Secondary access through Forge, EquityZen, and Hiive requires SEC-defined accreditation — net assets above $1m excluding primary residence, or income above $200,000 — and typical minimums run $10,000 to $25,000. OpenAI additionally imposes transfer restrictions on its own shares, meaning even accredited buyers face company consent risk on any given lot. This is the entire reason the perpetuals and CFD market exists, and it is also the reason those products draw regulatory attention: they are, functionally, retail access to a private security via an instrument that is not the security.
The second is disclosure. A confidential S-1 filed on 8 June 2026 has been sitting with the SEC for nearly three months. Under the JOBS Act emerging-growth-company regime a confidential filing must be made public at least 15 days before a roadshow — so the moment OpenAI's S-1 goes public, the market gets a hard date and, far more importantly, the fully-diluted share count that makes every calculation on this page obsolete. That single disclosure is the largest scheduled repricing event in this story, and it will arrive with no warning beyond its own publication.
Jurisdictional divergence adds a third layer. The pre-IPO perpetual listed by an offshore crypto venue, the CFD offered by an FCA- or CySEC-regulated broker, and the accredited secondary lot on a US ATS are three different regulatory objects with three different investor-protection regimes wrapped around what their marketing calls the same thing. Brokers adding these products are taking on suitability and disclosure obligations that scale with how enthusiastically they market the underlying name.
The 2027 date holds unless revenue inflects sharply, and the tender proves it. Friar's caveat was explicit — sooner if "our business continues to inflect." The strongest evidence that it has not yet is the August tender: OpenAI bought back $7bn of employee stock at the same $852bn valuation as the March round, five months later. A company confident of an imminent trillion-dollar print does not repurchase employee equity flat. Expect the public S-1 in the first half of 2027, not this year.
Primary issuance compresses the per-share outcome below $807. The 2026 loss, the compute commitments, and the strategic-investor base all point to a large primary component rather than a pure secondary float. A 10% raise puts the implied price near $735; a 15% raise puts it near $703, below where accredited holders are marked today. The per-share number is more likely to disappoint than the valuation number is.
The pre-IPO derivatives market gets regulated before the IPO lands. Perpetuals on unlisted equities are a new enough category that no major regulator has ruled definitively on them, and the volumes are now large enough to attract one. With Binance, OKX, Bitget, STARTRADER and PU Prime all live on the same two underlying names, the first enforcement action or product-intervention notice in this category is a 2027 event, not a 2028 one. Desks carrying inventory in these instruments should be modelling that as a live scenario, not a tail.
The discipline this whole exercise enforces is simple. Refuse to discuss an IPO in headline-valuation terms until you have divided by a share count. On OpenAI, that division turns a trillion-dollar story into a twelve per cent one — and twelve per cent, eighteen months out, against a company that has just declined to mark itself up, is a materially different investment case from the one the headlines are selling.
What is the predicted OpenAI IPO price per share? On roughly 1.24bn implied shares — back-solved from Forge Global's $721.85 price at a $894.33bn implied valuation on 28 August 2026 — the widely reported $1 trillion IPO target works out to about $807 per share. A $1.2 trillion outcome implies $969 and a $750bn outcome implies $605. These are arithmetic consequences of a stated target, not company guidance, and new primary shares issued at the offering would reduce them.
When will OpenAI go public? OpenAI filed a confidential S-1 on 8 June 2026. CFO Sarah Friar told employees at an August all-hands that the company "will be a public company in 2027," with an earlier debut possible only if "our business continues to inflect." No exchange, ticker, or pricing date has been assigned.
How much is OpenAI worth right now? Forge Global's modelled price implies a valuation of $894.33bn as of 28 August 2026. The last primary round — the $122bn Series G that closed on 31 March 2026, led by Amazon, SoftBank and Nvidia — was struck at $852bn post-money, and OpenAI's August employee tender was executed at that same $852bn figure rather than at a markup.
Can retail investors buy OpenAI stock before the IPO? Not directly. Secondary platforms such as Forge Global, EquityZen and Hiive require SEC accreditation and typically set minimums of $10,000 to $25,000, and OpenAI imposes transfer restrictions on its own shares. Pre-IPO perpetual futures on Binance and OKX, and pre-IPO CFDs at brokers including STARTRADER and PU Prime, offer synthetic exposure — but these are derivatives referencing a modelled price, not a claim on OpenAI equity.
Is OpenAI more expensive than Anthropic? On revenue multiples, yes. OpenAI's roughly $1 trillion target sits against annualised revenue that exited 2025 above $20bn, implying something in the 40–50x range. Anthropic's reported $2 trillion figure sits against a run rate above $65bn as of July 2026, implying roughly 31x. OpenAI also projects a $14bn loss for 2026, while Anthropic was projected to post a quarterly operating profit in Q2 2026.
What would move the OpenAI share-price estimate most? Publication of the S-1. It will disclose the fully-diluted share count for the first time, replacing the inferred 1.24bn figure with a real one, and will set out the size of any primary raise. A large primary component would push the implied price at a $1 trillion valuation materially below $807.
