Wall Street Is Pricing An Earnings Boom It Has Never Seen

Per Bloomberg data: consensus estimates for S&P 500 earnings over the next twelve months have hit $365 per share, nearly double the cyclically-adjusted figure (past 10-year earnings, inflation-adjusted) of $188. Forward one-year earnings now exceed cyclically-adjusted earnings by more than 90% — the widest gap on record, versus a peak of roughly 65% during the 2000 dot-com bubble. Trailing one-year earnings exceed cyclically-adjusted earnings by more than 60%, against an average gap of just 11% since 1881. Source: Bloomberg data (via The Kobeissi Letter)

Valuation on its own rarely tells you when — but it tells you how much is riding on the story being true. This measure compares what Wall Street expects companies to earn next year against what they've actually earned, on average, over the last decade. That gap has never been wider — wider than the dot-com peak. It means the market isn't just paying a high price for current earnings; it's paying a high price for an earnings boom that hasn't happened yet and would have to materialize to justify today's levels. That's the connection to this framework's core view: much of the AI-driven optimism is priced as if the monetization and capex payoff is already certain. The wider this gap, the more the market depends on the boom arriving exactly as hoped, and the less room there is for disappointment. It doesn't set the timing. It sets the stakes.