Differences in OpenAI and Anthropic revenue reporting spark market concerns

KuCoinFlash

Release Time: 2026/10/10 02:33:50

META

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Summary

Market trends indicate that OpenAI and Anthropic are facing scrutiny over their revenue reporting. OpenAI discloses net revenue from partners such as Microsoft, while Anthropic includes all cloud sales, including those from Amazon. Market analysis reveals that both companies lack standardized financial disclosures, making it difficult to compare their sizes. OpenAI’s 2026 revenue may reach $35 billion, half of its $70 billion target. Anthropic’s 2025 revenue was $4.6 billion, below its $9 billion annualized estimate. Analysts warn that annualized figures may mislead investors in the high-valued AI sector.

ME AI messages reveal significant discrepancies in how OpenAI and Anthropic report revenue, making it difficult to directly compare the two AI giants’ publicly stated annualized revenues and intensifying investor concerns about the growth prospects of the AI industry. The report indicates that Anthropic includes total sales generated through cloud service partners such as Amazon in its revenue, while OpenAI only recognizes its net revenue share from partners like Microsoft. Since neither company has published standardized financial statements, investors currently lack the ability to accurately convert and compare their actual business scales. Annualized revenue (ARR) also has limitations. Insiders reveal that OpenAI expects its full-year 2026 actual revenue to be approximately $35 billion—about half of its year-end $70 billion ARR target. Documents seen by Bloomberg show that Anthropic’s actual 2025 revenue was around $4.6 billion, while its stated ARR at the time had already exceeded $9 billion. Analysts note that ARR is typically extrapolated from short-term performance or contract values and should not be equated with actual recognized revenue for the full year. Amid high valuations for AI giants and elevated tech stock levels, uncertainty around revenue growth rates and reporting methodologies may further impact market assessments of AI investment returns. (Source: BlockBeats)

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