October 25, 2026. OpenAI is reportedly seeking fresh investment at a $1.25 trillion valuation, down from a $1.4 trillion figure discussed earlier in October. But is that worth defensible using the same earnings, revenue and cash-flow measures investors apply to public technology companies? The short answer: not on current profits alone. The price is a bet that future revenue and margins grow dramatically. Bloomberg’s October 22 report says the roughly $30 billion round was still being negotiated; the $1.25 trillion figure is not a completed IPO market capitalization.

Key Takeaways

• The proposed $1.25T price is about 25× OpenAI’s reported $50B annualized September sales run rate, not 25× audited full-year revenue.
• OpenAI has not publicly supplied a verified positive net-income figure from which to calculate a traditional P/E.
• At 30× earnings, $1.25T would require about $41.7B of annual net profit.
• The strongest bull case is rapid enterprise adoption and software revenue; the biggest uncertainty is whether those sales generate durable free cash flow after compute spending.

What The $1.25 Trillion Figure Actually Means

OpenAI announced on March 31 that it closed a $122 billion funding round at an $852 billion post-money valuation. The new $1.25 trillion figure is a reported fundraising target, described by TechCrunch as pre-money. A completed round and a negotiated price are different forms of evidence; the eventual deal could change.

Today, we closed our latest funding round with $122 billion in committed capital at an $852B post-money valuation.

The fastest way to expand AI’s benefits is to put useful intelligence in people’s hands early and let access compound globally.

This funding gives us resources to…

— OpenAI (@OpenAI) March 31, 2026

The company reported roughly $2 billion a month in revenue in March. Later, Reuters reported on October 8 that September’s annualized run rate was near $50 billion. That reconciled figure was below earlier descriptions approaching $70 billion, partly because cloud-partner revenue was treated differently. Annualizing a recent month is not the same as recording $50 billion in a completed fiscal year. The site previously covered the earlier UAE funding talks.

OpenAI Versus Profitable Public Companies

For an apples-to-apples starting point, compare valuation divided by sales, then check whether the company actually produces earnings. The public-company figures below use October 23, 2026 closing-price snapshots and trailing 12-month financials; OpenAI’s row uses a proposed private price divided by a run rate, which is not the same measurement period.

Company	Equity value	Revenue basis	Price/sales	P/E
OpenAI	$1.25T proposed	~$50B annualized	~25.0×*	N/M
Microsoft	$3.90T	$331.8B TTM	11.7×	29.2×
Alphabet	$3.92T	$445.9B TTM	8.8×	16.1×
NVIDIA	$5.09T	$303.0B TTM	16.8×	26.7×
Salesforce	$204.6B	$43.9B TTM	4.7×	~23×

There is an important distinction beyond the multiples: Microsoft’s 2026 annual report records $133.7 billion of net income, and Alphabet’s 2025 SEC filing records $132.2 billion. NVIDIA’s latest reported quarter demonstrates substantial profits and high margins. Investors can calculate earnings multiples from public statements; for OpenAI, they cannot independently do the same yet.

A Bloomberg Television segment from March documents the closed $852B valuation—a useful comparison with the still-unfinished October price discussions.

The P/E Test: How Much Profit Would Be Needed?

A traditional P/E ratio divides equity value by annual net earnings. It is not meaningful when net profit is absent or not verified. We can, however, reverse the formula to find the profit a $1.25T valuation implies.

Assumed P/E	Required yearly net profit
20×	$62.5B
25×	$50.0B
30×	$41.7B
40×	$31.3B

At a 30× earnings multiple and a hypothetical 25% net margin, OpenAI would need about $167 billion in annual sales, more than three times September’s annualized pace. At a 20% margin the revenue requirement climbs to about $208 billion. Moreover, Sacra estimates OpenAI’s recent gross margin around 33%; a hypothetical $50B sales base at that margin generates just $16.5B of gross profit before research, staff, sales and other operating costs. These are scenario calculations, not a forecast of future margins.

Revenue Multiple Scenarios

Holding the $50B run rate constant, a 10× sales valuation would be $500B; 15× would be $750B; 20× would be $1T; and 25× would be $1.25T. Even applying NVIDIA’s approximate 16.8× sales multiple produces about $840B on that revenue base. But NVIDIA’s profitability and business model are different, so this is a comparison rather than an intrinsic appraisal. On the other hand, reporting on an internal projection put OpenAI’s full-calendar-2026 revenue at roughly $36B, which would make the proposed value around 34.7× projected 2026 sales, not 25×.

What Could Justify The Premium?

OpenAI’s March operating update reported more than 900 million weekly ChatGPT users, over 50 million subscribers and enterprise activity generating more than 40% of revenue. A large consumer distribution channel, growing paid coding and business products, and stronger revenue per unit of compute could eventually produce valuable recurring cash flow. Those are tangible commercial advantages; valuing them at $1.25T still requires assumptions about retention, future pricing and margins. For wider AI-sector context, see our Anthropic revenue and compute-cost analysis.

What Could Undermine It?

Inference, model training and electricity-intensive data centers remain expensive. Reuters summarized a Financial Times report describing a projection of roughly $278B in cumulative negative free cash flow across 2026–2030. That is a reported investor-document forecast, not an audited fact, and The Information noted a company finance employee disputed the figures. Funding needs, competition, capital intensity, dilution and the future accounting treatment of cloud revenue all matter. Our earlier coverage of OpenAI profitability forecasts provides historical context; our IMF AI-market-correction report examines broader valuation risk.

Verdict

Under traditional metrics, $1.25T is not presently demonstrated by published earnings or free cash flow. A 25× annualized sales multiple may be defensible to an investor who expects exceptional, lasting growth and much better margins; it is difficult to defend as a conservative present-day valuation. The more useful question is not whether artificial intelligence matters, but how fast OpenAI can turn usage into repeatable profits after its computing costs. A future audited public filing could materially change this assessment.

Research basis: public information available October 25, 2026. Peer valuations and P/E ratios are market snapshots from the October 23 close, and can change. The comparisons use reported and estimated data rather than a complete OpenAI audited income statement. This story is independent financial analysis, not a statement of OpenAI’s position.

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