How much is OpenAI worth today?
In our generative AI market deck, you will find everything you need to understand the market
SUMMARY
How much is OpenAI worth today? OpenAI is probably worth around $900B today, with a reasonable range of $850B to $1.05T.
The cleanest anchor is no longer the $300B or $500B number. OpenAI’s latest official priced mark is $852B, based on a March 2026 primary funding round, and that resets the valuation debate.
The $1T case is serious, but it is still the aggressive end of the evidence. At $24B of annualized revenue, a $1T valuation implies about 41.7x revenue, which is high even in the current AI market.
The most important thing is that OpenAI’s latest valuation is not detached from revenue. The $852B mark sits close to 35x annualized revenue, which is rich, but not mathematically absurd for a company growing this fast.
The real valuation question is not whether OpenAI is large enough. It is whether its revenue behaves like high-margin software or like compute-heavy infrastructure revenue with more pressure on margins.
OpenAI’s moat has changed. In 2023, the moat was mostly model mystique; in 2026, the stronger case is distribution, enterprise embedding, developer usage, compute access, and workflow integration.
Anthropic makes the OpenAI story more complicated, not weaker. It reduces the monopoly premium, especially in coding workflows, but it also proves that frontier AI labs can command hundreds of billions in value.
xAI shows that frontier AI valuations are about more than revenue. Investors are pricing compute access, distribution control, strategic optionality, and the right to own future AI interfaces.
Profitability is the biggest cap on the valuation. OpenAI has crossed a revenue scale very few private companies ever reach, but public investors will eventually demand proof on gross margins, inference costs, retention, and free cash flow.
The market is big enough for a trillion-dollar OpenAI, but only if OpenAI captures the application, agent, API, enterprise workflow, and consumer-superapp layers. A generic “AI is huge” argument is not enough.
A valuation below $700B now looks too bearish unless the March 2026 round was badly mispriced. A valuation above $1.1T looks too bullish until OpenAI proves that its $24B run-rate can become durable, high-margin platform cash flow.
So the practical answer is this: OpenAI is no longer a $300B company, and the $500B secondary is outdated. The current evidence points to a near-trillion-dollar company, but not yet a no-question $1.2T-plus company.
This market map, featured in our generative AI market deck, highlights top companies and startups in the generative AI market
What is OpenAI’s latest official valuation?
OpenAI’s latest official valuation is $852B, not $300B or $500B.
That is the most important reset. OpenAI announced on March 31, 2026, that it closed a $122B funding round at an $852B post-money valuation. That is the freshest priced primary financing we have from the company itself.
The $500B number still matters, but it is not the newest anchor. In October 2025, OpenAI completed a secondary share sale that reportedly valued the company at $500B. That transaction let current and former employees sell shares. It was useful because real buyers were willing to buy OpenAI stock at that mark. But a secondary sale is not the same as a primary fundraising round. It provides liquidity and a market signal, not the same capital injection into the company.
The valuation path is now very clear. OpenAI was valued at $157B in October 2024, $300B in March 2025, $500B in an October 2025 secondary sale, and $852B in March 2026. That means the company’s official primary valuation increased by about 5.4x from October 2024 to March 2026.
That speed is the whole story. OpenAI did not slowly compound into a giant public-company valuation. It compressed what normally takes a decade of public-market proof into less than two years of private-market repricing.
So when someone asks what OpenAI is worth today, the cleanest factual answer is: the latest official priced mark is $852B, and the live debate is whether the public market would now pay closer to $850B, $1T, or something above that.
Is OpenAI already worth $1T today?
OpenAI is, today, close to a $1T company, but $1T is still the aggressive end of the evidence.
The strongest argument for $1T is revenue. OpenAI says it now generates $2B per month. Annualized, that is $24B. At a $1T valuation, OpenAI would trade at about 41.7x annualized revenue.
That is high, but not impossible in the current AI market. Palantir has recently traded above 60x sales. CrowdStrike has traded around the low-to-mid 30s. Datadog has traded around the low-to-mid 20s. Snowflake is closer to the mid-teens. Nvidia is around the high-teens to low-20s depending on the source and date. So a 42x multiple would put OpenAI below the most extreme AI software comp, but clearly above most elite public software and infrastructure names.
The second argument is scale. OpenAI says ChatGPT has more than 900M weekly active users and more than 50M subscribers. That is consumer-platform scale with paid conversion already attached.
The third argument is enterprise mix. OpenAI says enterprise is more than 40% of revenue and on track to reach parity with consumer by the end of 2026. That matters because a $1T valuation becomes easier if the market believes OpenAI is not just selling consumer subscriptions, but becoming embedded in companies.
Still, $1T is not the neutral answer today. At $1T, investors would be valuing OpenAI like a public AI super-platform before seeing public margins, public retention, public customer concentration, or public cash-flow conversion.
So yes, OpenAI can be worth $1T. But today, $1T is the top of the reasonable range, not the center.
If you want more recent data on this point, please see our latest generative AI market report.
As this chart shows, and as featured in our generative AI market deck, search interest in LLMs has surged
Could OpenAI be worth less than $700B now?
OpenAI being worth less than $700B today looks unlikely unless the latest funding round was badly mispriced.
The first reason is simple: OpenAI just raised at $852B post-money. A private round is not a perfect valuation truth, but a $122B committed-capital round is a much stronger signal than a small secondary trade. It means major investors were willing to price the company at that level with fresh money going into the business.
The second reason is revenue. At $24B annualized revenue, a $700B valuation would imply about 29x revenue. That is expensive, but not crazy for a company growing this fast. It would put OpenAI below Palantir’s recent P/S ratio and closer to high-premium software names like CrowdStrike, while still above Snowflake, Datadog, Nvidia, Microsoft, and Oracle.
The third reason is strategic scarcity. There are very few companies that combine consumer AI distribution, frontier models, enterprise sales, developer APIs, coding agents, and dedicated compute partnerships. Even if the market becomes multi-winner, OpenAI is still one of the default names in the category.
The fourth reason is the IPO option. OpenAI has confidentially submitted a draft S-1. That does not guarantee timing, but it changes the valuation context: the company is now positioning itself for public-market readiness. Companies do not usually take that step unless they believe they can defend a very large number.
So a valuation below $700B is possible only under a bearish public-market reset: weaker margins, slower growth, worse enterprise retention, or a big AI multiple compression. Based on the current evidence, it looks too low.
What does the revenue multiple say OpenAI is worth?
Revenue multiples put OpenAI’s fair value roughly between $600B and $1.1T, depending on how much premium we give it.
Using OpenAI’s disclosed $2B monthly revenue, we can annualize the business at about $24B. From there, the valuation math is straightforward.
| Revenue multiple | Implied OpenAI valuation |
|---|---|
| 20x revenue | $480B |
| 25x revenue | $600B |
| 30x revenue | $720B |
| 35x revenue | $840B |
| 40x revenue | $960B |
| 45x revenue | $1.08T |
| 50x revenue | $1.20T |
This table explains why OpenAI’s latest $852B valuation is not random. It sits almost exactly at 35x annualized revenue. That is rich, but it is not detached from the numbers.
The real debate is whether OpenAI deserves 30x, 35x, 40x, or 45x revenue. A normal cloud software company would not. A mature megacap software company definitely would not. But OpenAI is growing much faster, has a larger consumer funnel, and sits at the center of one of the largest platform shifts in tech.
The problem is that OpenAI does not yet have proven public software economics. If its revenue behaves like high-margin software, 35x to 40x can be defended. If it behaves like compute-heavy infrastructure revenue, the fair multiple should be lower.
So revenue multiples point to a reasonable center around $850B to $950B today. A $1T valuation is possible, but it requires the market to believe OpenAI’s revenue quality is improving, not just growing.
If you want more recent data on this point, please see our latest generative AI market report.
This chart, featured in our generative AI market deck, shows annual VC investment in generative AI startups
What would OpenAI need to be worth $1.2T?
OpenAI needs either more revenue, better margins, or a very high AI scarcity premium to justify $1.2T.
At today’s $24B annualized revenue, $1.2T implies a 50x revenue multiple. That is very high. It is not impossible, but it requires OpenAI to look closer to Palantir’s AI-premium valuation than to Snowflake, Datadog, Nvidia, or Microsoft.
There are three ways OpenAI could get there.
First, revenue could keep compounding. If OpenAI reaches $30B annualized revenue, a $1.2T valuation becomes 40x revenue. If it reaches $40B, it becomes 30x revenue. That is much easier to defend.
Second, enterprise revenue could become the dominant mix. OpenAI says enterprise is already more than 40% of revenue and on track to reach parity with consumer by the end of 2026. If that shift happens, investors may assign a higher multiple because enterprise workflows can create stronger retention and larger contract expansion.
Third, the public market could treat OpenAI as a scarce AI platform. That means investors would not compare it to normal software. They would compare it to the few companies controlling the AI operating layer: Nvidia in chips, Microsoft in cloud and productivity, Anthropic in enterprise agents, and OpenAI in consumer-plus-enterprise AI interfaces.
But $1.2T is still hard to support today. At that level, the market would be paying for tomorrow’s proof. OpenAI would need to show not only growth, but operating leverage: lower cost per token, stronger gross margins, durable enterprise expansion, and less dependency on external infrastructure partners.
What IPO price would make sense for OpenAI?
A rational OpenAI IPO range would probably be $900B to $1.1T.
That range fits the current evidence better than either a conservative $600B listing or a very stretched $1.3T-plus debut. At $900B, OpenAI would trade at 37.5x annualized revenue. At $1T, it would trade at 41.7x. At $1.1T, it would trade at 45.8x.
Those numbers are high, but they are not insane if investors believe three things. First, OpenAI’s $24B annualized revenue can keep growing quickly. Second, enterprise revenue can become at least half of the business. Third, compute costs can improve enough to create operating leverage.
The IPO timing also matters. OpenAI announced on June 8, 2026, that it had confidentially submitted a draft S-1, but also said it had not decided on timing and that “it may be a while” because some things may be easier as a private company. That wording is important. It means OpenAI wants the option to go public, not that an IPO is necessarily imminent.
A $900B IPO would look disciplined: above the latest official $852B mark, but not wildly above it. A $1T IPO would be symbolically powerful and still mathematically defensible. A $1.2T-plus IPO would need either another revenue step-up or a very hot AI IPO window.
If you want more recent data on this point, please see our latest generative AI market report.
This chart, featured in our generative AI market deck, looks at OpenAI’s strategy in generative AI
How does OpenAI compare with Anthropic now?
Anthropic is the reason OpenAI’s valuation cannot rely on monopoly anymore.
The strongest official Anthropic comp is its February 2026 Series G: $30B raised at a $380B post-money valuation. Anthropic also said Claude Code run-rate revenue had grown to more than $2.5B, more than doubling since the beginning of 2026, and weekly active Claude Code users had doubled since January 1.
That is a very important comparison. Claude Code is not a consumer toy but rather a high-value coding workflow with direct enterprise monetization. Anthropic also said more than 500 large accounts spend over $100,000 annually, and eight of the Fortune 10 are Claude customers. Those are the kinds of signals that weaken OpenAI’s old “only winner” premium.
But OpenAI still has a broader base. OpenAI says it has more than 900M weekly ChatGPT users, 50M-plus subscribers, more than 1M business customers, enterprise above 40% of revenue, and APIs processing more than 15B tokens per minute. Anthropic may look stronger in certain professional workflows, especially coding, but OpenAI has the bigger consumer funnel and broader platform surface.
So Anthropic cuts both ways. It makes OpenAI look less unique, because another frontier lab can command hundreds of billions in value. But it also validates the category: investors are willing to price frontier AI companies as strategic infrastructure, not normal SaaS.
The conclusion is sharper now: OpenAI deserves a premium over Anthropic only if the market values consumer distribution and platform breadth more than coding-workflow depth. If coding agents become the most profitable AI layer, Anthropic narrows the gap quickly.
How does OpenAI compare with xAI and the Elon Musk AI stack?
xAI shows that OpenAI’s valuation is not only about revenue; it is also about compute, distribution, and strategic control.
xAI raised $20B in Series E funding in January 2026, according to the company. It did not disclose a valuation in that announcement. Several third-party reports put xAI’s valuation or combined SpaceX-xAI strategic value much higher, but those marks are less clean than OpenAI’s official $852B round.
That comparison is useful precisely because it is messy. xAI has Grok, X distribution, enormous compute ambition, and Elon Musk’s capital-market pull. But OpenAI has much clearer revenue disclosure, broader ChatGPT adoption, deeper enterprise customer disclosure, and a more mature API business.
The second comparison is risk. xAI has faced repeated controversy around Grok outputs and product safety. OpenAI also has governance and safety controversies, but its enterprise pitch is increasingly built around security, privacy, deployment, and business workflows. For public-market investors, that difference matters because enterprise buyers punish reputational and compliance risk.
The third comparison is infrastructure. Both companies are trying to secure massive compute capacity. OpenAI’s latest funding announcement emphasizes durable compute access across Microsoft, Oracle, AWS, CoreWeave, Google Cloud, Nvidia, AMD, AWS Trainium, Cerebras, Broadcom, and data-center partners. That is not a side detail. At frontier AI scale, compute access is part of the moat.
So xAI helps us see why OpenAI’s value cannot be reduced to a revenue multiple. In frontier AI, investors are also pricing the right to control distribution, models, compute, and future AI interfaces. On that broader basis, OpenAI still looks more financially proven than xAI.
If you want more recent data on this point, please see our latest generative AI market report.
This chart, featured in our generative AI market deck, shows annual funding in generative AI startups
How does OpenAI compare with public AI stocks?
OpenAI’s current valuation is expensive, but it is not outside the public AI premium zone.
At $852B and $24B annualized revenue, OpenAI trades at about 35.5x revenue. That is far above Microsoft and Oracle, both closer to mature software and cloud infrastructure multiples. It is also above Snowflake and Datadog. But it is near CrowdStrike’s recent range and below Palantir’s extreme AI premium.
This matters because OpenAI is private, but the public market tells us what investors are willing to pay for AI-linked growth. Palantir is the most important comp because it shows how far public investors can stretch when they believe a company is becoming a strategic AI operating system for enterprises. Snowflake and Datadog are useful counterweights because they show that even excellent cloud software companies usually trade much lower.
Nvidia is another useful comparison. Nvidia is the clearest current AI winner, but it trades at a much lower revenue multiple than OpenAI’s latest private valuation. That does not automatically mean OpenAI is overvalued. Nvidia is much larger and already highly profitable, while OpenAI is earlier in its growth curve. But it does remind us that OpenAI’s multiple is not cheap even relative to the most important AI company in the world.
So public comps support a range, not a point estimate. If OpenAI trades like a high-growth AI platform, $850B to $1T works. If it trades like mature infrastructure or cloud software, the fair value would be much lower. If it trades like Palantir-style AI scarcity, it could clear $1T.
Does OpenAI’s profitability make the valuation fragile?
Yes. Profitability is the biggest reason not to value OpenAI too far above $1T today.
Revenue is not the problem anymore. OpenAI has crossed a scale that very few private companies ever reach. The problem is cost structure. Frontier AI companies spend heavily on model training, inference, chips, data centers, cloud contracts, safety, research, and talent. That is not the same economic profile as pure software.
The first signal is the size of the funding. A $122B round is a strength because it validates investor appetite. But it is also a signal that OpenAI needs enormous capital to keep leading. A normal software company with $24B annualized revenue would not need funding rounds of that size.
The second signal is compute strategy. OpenAI explicitly says durable compute access is a strategic advantage and lists a broad infrastructure portfolio across multiple cloud providers, chip platforms, and data-center partners. That tells us compute is central to the business model, not an incidental expense.
The third signal is market expectation. Public investors will eventually ask about gross margin, inference cost per user, payback periods, enterprise retention, and free cash flow. Private investors can underwrite strategic dominance for longer. Public investors usually punish companies that cannot show operating leverage.
The fourth signal is competition. If Anthropic, Google, xAI, open-source models, and cloud providers pressure pricing, OpenAI may need to keep spending aggressively while charging less per unit of intelligence. That is the bear case in one sentence.
So profitability does not kill the valuation. But it caps the valuation range. Until OpenAI proves margin expansion, $850B to $1T is easier to defend than $1.2T to $1.5T.
If you want more recent data on this point, please see our latest generative AI market report.
This chart, featured in our generative AI market deck, compares the main business model options for generative AI SaaS platforms
Is OpenAI’s market big enough for a trillion-dollar valuation?
The market is big enough, but OpenAI will not capture the whole AI market.
Gartner forecast worldwide generative AI spending of $644B in 2025, up 76.4% from 2024. That supports the idea that AI is a real spending wave, not just a product trend.
But the composition matters. Gartner also showed that a huge share of GenAI spending is tied to hardware, AI-capable devices, and infrastructure. That money flows heavily to Nvidia, cloud providers, server makers, data-center operators, and device companies. OpenAI does not capture all of that.
The better OpenAI-relevant signal is enterprise software and workflow adoption. Menlo Ventures estimated enterprise generative AI spending at $37B in 2025, up from $11.5B in 2024, with the largest share going to user-facing products and software. That is much closer to OpenAI’s actual monetization surface.
McKinsey adds the adoption context. Its 2025 State of AI survey found that most organizations are using AI somewhere, but nearly two-thirds have not yet begun scaling AI across the enterprise. It also found that 62% of respondents are at least experimenting with AI agents. That is exactly the stage where OpenAI can still grow: broad adoption, limited full deployment, budgets still forming.
So the market can support a trillion-dollar OpenAI, but not through generic “AI is huge” logic. The valuation works if OpenAI captures the application, agent, API, enterprise workflow, and consumer-superapp layers. It does not work if most economics flow to chips, clouds, and incumbents.
Does OpenAI still have a moat today?
OpenAI probably still has a moat, but the moat is no longer just “best model.”
The first moat is distribution. ChatGPT has more than 900M weekly active users and more than 50M subscribers. That gives OpenAI a top-of-funnel advantage almost no AI startup can copy.
The second moat is enterprise conversion. OpenAI says more than 1M business customers use its products, enterprise is already more than 40% of revenue, and ChatGPT Enterprise seats grew 9x year over year. That suggests OpenAI is turning consumer familiarity into workplace adoption.
The third moat is developer usage. OpenAI says its APIs process more than 15B tokens per minute. Codex now has more than 2M weekly users, up 5x in three months, with usage growing more than 70% month over month. That matters because developers are one of the most valuable distribution channels in software.
The fourth moat is integration. OpenAI is building ChatGPT, Codex, APIs, memory, search, personalization, multimodal interaction, enterprise deployment, and a unified AI superapp into one system. If that system becomes the user interface for work, the moat gets stronger.
The fifth signal is the counter-moat. Anthropic is strong in coding. Google has distribution. Microsoft has enterprise control. Open-source models reduce model scarcity. So OpenAI’s defensibility cannot depend on a permanent benchmark lead.
So, all things considered, OpenAI’s moat is real but changing. The 2023 moat was model mystique. The 2026 moat is distribution plus workflows plus compute plus enterprise embedding. That is a better business moat if it works, but it requires execution.
This chart, featured in our generative AI market deck, illustrates how revenue is distributed across customer segments in the generative AI market
So how much is OpenAI worth today?
OpenAI is probably worth $850B to $1.05T today.
The lower end is anchored by the latest official $852B post-money valuation. That number is supported by $24B annualized revenue, 900M-plus weekly users, 50M-plus subscribers, more than 1M business customers, enterprise revenue above 40%, and massive API and Codex usage. It is difficult to argue OpenAI is worth far below that unless we believe the March 2026 financing was materially overpriced.
The upper end is capped by revenue multiples and profitability uncertainty. At $1.05T, OpenAI would trade at about 43.8x annualized revenue. That is high even in today’s AI market. It can be defended only if investors believe OpenAI is closer to a scarce AI platform than to a compute-heavy software vendor.
A number below $700B looks too bearish. It would imply the market is discounting the latest official valuation, ignoring OpenAI’s current revenue scale, and treating the company more like a normal software firm than a category-defining AI platform.
A number above $1.1T looks too bullish today. It would require public investors to give OpenAI a premium close to the most expensive AI software comps before seeing audited margin quality, cash burn, retention, customer concentration, and long-term unit economics.
So the clean answer is this: OpenAI is worth around $900B today, with a reasonable range of $850B to $1.05T. If IPO demand is very hot, it could price around $1T. If public investors punish AI burn and compute intensity, it could trade back toward $750B to $850B.
So, our conclusion: OpenAI is no longer a $300B company, and the $500B secondary is outdated. The current market reality points closer to a near-trillion-dollar company. But OpenAI has not yet earned a no-question $1.2T-plus valuation.
To get there, it needs one more proof point: not more hype, but better evidence that $24B of annualized revenue can turn into durable, high-margin, defensible platform cash flow.
OUR METHODOLOGY
This analysis tests how much OpenAI is worth today based on the evidence available now. We compare the latest official priced valuation with revenue scale, public-market multiples, IPO context, peer comparisons, market size, moat, and profitability risk.
OpenAI’s current valuation is not a question that can be answered cleanly from one headline, one funding round, or one public-market comparison. To avoid intuition-led reasoning, we broke the question into the analytical dimensions that actually shape the answer.
We gave more weight to direct company disclosures, recent priced financings, current run-rate indicators, and first-hand market data than to older valuation anchors or loose market narratives. The final range comes from aggregating those signals rather than treating any single number as definitive.
When we refer to OpenAI’s “latest official valuation,” we mean the March 2026 post-money valuation from its primary financing round. The October 2025 secondary valuation is still useful as a market signal, but it is not treated as the freshest valuation anchor.
Revenue multiples are used as a valuation sanity check, not as the whole answer. We annualize the disclosed $2B monthly revenue figure into a $24B revenue run-rate, then compare implied valuation ranges across different sales multiples.
Public AI and software comps are used to understand what investors are currently willing to pay for AI-linked growth. We treat Palantir, CrowdStrike, Datadog, Snowflake, Nvidia, Microsoft, and Oracle as reference points, not perfect comparables.
Peer comparisons with Anthropic and xAI are used to separate OpenAI’s company-specific premium from broader frontier-AI market pricing. Anthropic is especially relevant for enterprise and coding-workflow depth, while xAI is useful for understanding compute, distribution, and strategic-control premiums.
Market-size evidence is used carefully. We distinguish broad generative AI spending from the parts OpenAI can more directly monetize, such as applications, agents, APIs, enterprise workflows, developer tools, and consumer subscriptions.
Profitability and compute intensity are treated as the main valuation constraint. The analysis does not assume that OpenAI’s revenue automatically deserves a pure software multiple until there is clearer evidence on margins, inference costs, retention, and cash-flow conversion.
Key sources used for this analysis include: OpenAI’s March 2026 funding round and compute signals, OpenAI’s confidential S-1 submission, OpenAI’s user and subscriber disclosure, OpenAI’s business customer disclosure, OpenAI’s enterprise AI report, OpenAI’s enterprise AI report PDF, OpenAI’s business model and revenue logic, Anthropic’s Series G valuation and Claude Code metrics, xAI’s Series E funding announcement, Gartner’s generative AI spending forecast, Menlo Ventures’ enterprise generative AI spending report, McKinsey’s State of AI 2025, Palantir investor financials, CrowdStrike investor financials, Datadog investor financials, Snowflake investor financials, and Nvidia investor financials.
This chart, featured in our generative AI market deck, shows how AI video generation technology has evolved over time
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