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Global equity valuation data

Valuation ratios for equity markets, regions and sectors worldwide — trailing and forward P/E, CAPE, dividend yields, price to book and EV/EBITDA. Every figure is researched, sourced and calculated in-house, and the longest series runs back to 1970.

The pages on this site publish real figures, free. Current readings for every market covered, ten year-ends of history, and charts you may reuse with attribution. The subscription adds every trading day, the complete history, and an API.

Data through 31 August 2026 · 47 country and regional indices · 44 sector indices

Trailing and forward P/E ratios for the major equity markets, ranked.
22.07
trailing P/E · CAPE 29.69
26.08
trailing P/E · CAPE 36.41
23.42
trailing P/E · CAPE 31.93
17.23
trailing P/E · CAPE 19.34

Major markets, Aug 2026

Month-end. Free to use with attribution.
Market Trailing P/E Forward P/E CAPE
United States 26.08 20.13 36.41
Japan 19.04 16.62 35.60
United Kingdom 14.98 12.56 20.27
Germany 17.91 15.06 24.04
France 17.41 14.27 20.53
China 17.96 14.21 17.79
India 21.76 19.86 29.83
Canada 21.11 16.46 28.02
Australia 20.57 18.71 20.84
Brazil 10.63 8.37 14.34
South Korea 12.30 5.36 32.20
Taiwan 25.61 19.42 45.32

Every market on this site, on every measure, is in the data catalogue. Each page carries ten year-ends of history and a citation you can paste into a paper.

What is published

Why these numbers are built the way they are

Aggregates, not averages

Every ratio is total market capitalisation over total earnings, book value or EBITDA — not an average of the constituents' individual ratios. An average is dominated by whichever company happens to have near-zero earnings that quarter. The same method is applied to every market and every period, which is what makes these series comparable across countries and across decades.

Point-in-time

A historic reading reflects what was known at the time. When a company later restates its results, the old figure is left exactly as it was first published. That is the convention the major index providers use, and it is the only way a backtest can be honest.

Calculated in-house

There is no third-party feed behind these numbers. Everything is built from company filings by our own data team, which is why every page can explain exactly how its figures are constructed — and why the data methodology is published in full.

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Where this data is used

Some examples. Siblis valuation data appears in peer-reviewed journals, central bank publications and the financial press.

Modern Portfolio Theory and the Efficient Markets Hypothesis Jim Fischer12th Economics and Finance Conference, International Institute for Social and Economic Sciences · 2019
Asset Volatility with Prospect Theory Investors Jeremias BekiermanQuantitative Finance, 19(4) · 2019
Political and Economic Freedoms and Global Equity Valuations Bahram Adrangi, Arjun Chatrath, Suphachok Ampai, Zachary Lum & Decclan McLeanThe American Economist, 71(1) · 2026