OpenAI revenue run rate reached USD 40bln ahead of IPO, according to Bloomberg

Run-rate disclosures of this kind ahead of a listing are a familiar part of pre-IPO price discovery: the company or its bankers let a revenue framing into the market, and the subsequent debate is less about the headline number than about what is annualised in it, since run rates can flatter fast-growing subscription businesses by extrapolating a strong recent month or quarter. The historical pattern with high-profile private listings is that the sequence runs leaked financials, then a valuation range, then the question of whether public-market comparables support it, with the multiples debate typically anchored on a small set of high-growth software and platform names rather than the index at large. The distinction that matters is recurring contracted revenue versus consumption-based usage, since the two carry very different durability assumptions when a prospectus eventually forces the split. Worth watching is whether the figure is corroborated by subsequent reporting or walked back, any indication of timing and venue for the listing, and the secondary-market marks on existing private shares, which have tended to reprice quickly around such leaks. The established sensitivity is concentrated in listed names with direct exposure to the company or to the AI capex chain, where a confirmed scale-up of this kind has historically been read through to compute demand.