Loading article…
S&P 500 CAPE ratio tops 17 average, reaching levels only seen before the Great Depression and dot‑com era, while AI‑driven stocks lift the index 23% this year.
The S&P 500’s Shiller CAPE ratio has risen above its 17‑year average to a level seen only twice before in 155 years of data, coinciding with a 23% year‑to‑date gain driven by AI‑related stocks【2】.
| At a glance | |
|---|---|
| CAPE ratio | > 17 (historical average) |
| S&P 500 YTD gain | +23% |
| Valuation context | Only pre‑Great Depression (late 1920s) and late‑1990s levels |
| Market breadth | Lowest since 2000, per Goldman Sachs analysts【1】 |
The index’s 13.4% annualized total‑return over the past decade, amounting to roughly a 250% gain, has been turbo‑charged this year by AI enthusiasm, pushing the S&P 500 up close to 23%【2】. That surge has lifted the CAPE ratio well above its long‑run mean of 17, a reading that historically precedes only two other periods of extreme overvaluation: the late 1920s before the Great Depression and the late 1990s before the dot‑com crash【2】.
Analysts note that despite the lofty valuation, market breadth is at its narrowest since 2000, a metric that tracks the number of advancing versus declining stocks【1】. Goldman Sachs warns the breadth is low but still “doesn’t yet rival the depths of the pre‑crisis era,” suggesting that while the rally is broad, it may lack the depth that preceded past crashes【1】.
Former Leuthold Group strategist Jim Paulsen argues that the split between “new” (technology) and “old” (the other nine S&P sectors) stocks is more pronounced than in the 1990s, reducing overall market risk. He points out that “old era” stocks now provide a larger stabilizing force, encouraging broader diversification than during the dot‑com era【1】. This lower correlation between sectors, he says, could blunt the impact of a potential downturn in AI‑heavy names, though he acknowledges the risk remains “substantially mitigated” only if the “music finally stops for new era stocks”【1】.
The current combination of an AI‑driven rally and a historically high CAPE ratio mirrors the conditions that preceded past market collapses, yet the stronger role of “old era” stocks adds a layer of uncertainty. Whether the market can sustain its lofty valuation without a sharp correction remains an open question.
Coverage is mostly measured — 204 of 300 reports stay neutral.
Every Monday — the token unlocks, Fed dates & catalysts set to move crypto and markets this week. So you’re never blindsided.
Free · 3-min read · one-click unsubscribe
AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 3 outlets · Jun 17, 2026 · How we report
A crash is typically a drop of over 10% in a stock market index over several days, characterized by panic selling and often linked to high leverage and economic shocks.
The 1929 crash led to a 40% drop in the Dow Jones index by November and ultimately contributed to the Great Depression, with the index losing 89% of its value before bottoming in 1932.
On October 19, 1987, the Dow Jones Industrial Average fell 508 points, a 22.6% decline in one day, while the S&P 500 dropped 20.4%.