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Data/Country & regional indices/Germany (DAX) P/E Ratio & Earnings
Data through 31 August 2026Next update 10 Oct 2026This page monthly · API daily

Germany (DAX) P/E ratio & earnings growth

Trailing and forward price-to-earnings ratios, CAPE and earnings for the German equity market, with history back to 1996. For the same measures across every major market see P/E ratios by country.

Trailing P/E ratio
17.91
-1.79 on a year ago
Forward P/E ratio
15.06
-0.40 on a year ago
CAPE ratio
24.04
-0.02 on a year ago
Earnings, year on year
+21%
trailing 12-month

Germany valuation ratios

Month-end Aug 2026, against the same month a year earlier. Calculated using DAX 40 Index.
MeasureAug 2026 Aug 2025Chg
Trailing P/E ratio 17.91 19.70 -1.79
Forward P/E ratio 15.06 15.46 -0.40
CAPE ratio 24.04 24.06 -0.02

Trailing P/E is aggregate market capitalisation divided by aggregate normalised net income over the previous twelve months. Forward P/E uses consensus estimates for the next twelve months.

Twenty years of multiples

Germany trailing and forward P/E ratio, month-end, over twenty years.
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The range from under 10 to over 90 is a property of a concentrated index rather than of the German market: one large constituent having a bad year moves the aggregate denominator sharply.

Against other major markets

Country indices where both trailing and forward P/E are published.
Trailing P/E ratio of 16 major markets with Germany highlighted.
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Cross-market comparisons reflect what is listed in each market as much as what is expensive. The German index is a small set of large industrial, chemical, software and financial companies that earn most of their revenue outside Germany. 7 of the country indices shown trade above Germany. Full country table →

Historical ratios and earnings

Year-end values for the ten years to 2025, most recent first. Earnings indexed to 100 at 2016 to give a common baseline.
MonthTrailing P/E Forward P/ECAPE EPS index
Aug 2026 17.9115.0624.04232.5
2025 Dec 18.9315.6224.08205.1
2024 Dec 15.0413.9921.08209.9
2023 Dec 14.9111.5219.30178.2
2022 Dec 12.5010.9617.53176.6
2021 Dec 15.3114.3423.37164.5
2020 Dec 26.9515.0621.8580.7
2019 Dec 22.2413.8321.3194.5
2018 Dec 12.4110.8118.67134.9
2017 Dec 18.8813.2724.55108.5
2016 Dec 18.2013.2922.42100.0

Aug 2026 at a glance

Trailing P/E ratio17.91
Forward P/E ratio15.06
CAPE ratio24.04

Year on year

Earnings+21%
Index level+10%
Trailing P/E-1.79
Forward P/E-0.40

Where Germany stands, August 2026

Germany trades at 17.91 times trailing earnings, against 19.70 a year ago. Index earnings rose 21% over the year while the index itself rose 10%. The multiple fell because earnings outran price.

At 15.06 forward against a trailing 17.91, analysts are pricing a 19% rise in earnings over the coming twelve months. That is an expectation rather than a forecast with a track record, and the gap is worth reading as the size of what is being assumed.

A market that got cheaper while it rose

German index earnings have roughly tripled over the past ten years, compounding at about 12% a year. Over the same period the trailing P/E ratio fell, from 22.2 in August 2016 to 17.9 in August 2026.

A market whose earnings triple while its multiple contracts is one where the profits arrived and the re-rating did not. Whatever has driven German equities over the decade, an increase in what investors are willing to pay per unit of earnings is not it.

A small index, and what that does to the ratio

The German index is concentrated by construction: a small number of large industrial, chemical, software and financial companies account for most of its capitalisation. Two consequences follow.

The first is volatility in the ratio. A single large constituent having a bad year moves the aggregate denominator in a way it would not in a broader index — which is why the trailing P/E has a historical range running from under 10 to over 90, far wider than the underlying market ever justified.

The second is that this is not a ratio about the German economy. The constituents earn most of their revenue outside Germany, and their multiples reflect global end-markets rather than domestic conditions.

Where to read Germany against

The most useful comparison for a German multiple is not its own long history — the 2000 and 2003 readings distort that — but the European aggregate and the other large European markets, which share accounting conventions, a currency and much of the same sector composition. Those sit together on the Europe page.

Where this data is used

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

Climate Change Risk Disclosures and the Securities and Exchange Commission Rena S. Miller, Gary Shorter & Nicole VanatkoCongressional Research Service · 2021
Intangibles: The Impaired Accounting Challenge John H. Nugen, Alex Pomelnikov & Kerry WebbJournal of Business & Economic Policy, 4(1) · 2017
Political and Economic Freedoms and Global Equity Valuations Bahram Adrangi, Arjun Chatrath, Suphachok Ampai, Zachary Lum & Decclan McLeanThe American Economist, 71(1) · 2026

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How this is calculated

Aggregate market capitalisation of the index constituents divided by their aggregate earnings.

  • Trailing P/E — Aggregate normalised net income over the previous twelve months. Major purely accounting gains and losses are removed.
  • Forward P/E — Consensus estimates for the next twelve months, aggregated the same way.
  • CAPE — Price divided by the average of ten years of inflation-adjusted aggregate earnings.
  • Earnings — Shown indexed, to provide a common baseline. Index-level earnings per share in euro are not comparable with other markets in level terms.
  • Revisions — Figures are point-in-time. If a company later restates its results, the historic reading is left exactly as first published: the series reflects what was known at the time, not what is known now.

Full methodology (PDF) →

Cite this page

Siblis Research. (2026). Germany (DAX) P/E Ratio & Earnings [Data set]. Retrieved 31 August 2026, from siblisresearch.com/data/dax-pe-ratio-yield/

@misc{siblis_dax_pe_ratio_yield,
  title={Germany (DAX) P/E Ratio & Earnings}, author={{Siblis Research}},
  year={2026}, url={https://siblisresearch.com/data/dax-pe-ratio-yield/},
  urldate={2026-08-31}}

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