Forward earnings are the consensus estimate of a company's or index's profits over the next twelve months (or next fiscal year), rather than realised trailing results. Dividing price by forward earnings per share yields the forward P/E, the standard valuation multiple for benchmarking equity prices against expected, not historical, profitability.
Sell-side analysts publish earnings forecasts that are aggregated into a consensus (e.g. I/B/E/S, FactSet). The forward multiple is price divided by that estimate — a 12-month-forward or next-fiscal-year figure. It embeds expectations, so a high forward P/E can reflect either rich pricing or anticipated earnings growth that compresses the multiple as estimates are realised.
With the S&P 500 trading near the top of its historical valuation range in 2025-2026, forward multiples are the battleground for the AI-capex melt-up debate: bulls argue elevated forward P/Es are justified by Mag7 earnings trajectories, bears that estimates are too optimistic and the multiple is simply stretched.
In the context cited, an index trading at roughly 22x forward earnings sits outside its historical interquartile range — versus a long-run S&P 500 average closer to 15-16x. If consensus next-twelve-month EPS were $270 on an index level of ~5,940, the forward P/E would be 22; a 10% downward revision to estimates ($243) would push the multiple to ~24.4x at an unchanged price, mechanically re-rating the index higher without any price move.
Forward P/E = Price / forward EPS (consensus next-twelve-month or next-fiscal-year EPS). Earnings yield = forward EPS / Price = 1 / forward P/E.