EV/EBITDA ratio: +11%/year over 20 years in Switzerland

Last updated: April 2026

Looking for a reliable ratio to spot undervalued stocks before the market does? The EBITDA/EV ratio (Earnings Before Interest, Taxes, Depreciation and Amortization / Enterprise Value) identifies companies generating superior operating cash flows relative to their total valuation. My 20-year backtest (2004–2024) confirms its effectiveness: +11.02% per year in Switzerland and +6.75% in France for the top quintile.

Abstract illustration showing EBITDA/EV quintile bars on a dark background with a magnifying glass, representing a 20-year backtest on Swiss and French stock markets

What is the EBITDA/EV ratio?

EBITDA/EV is a valuation ratio that compares a company's operating profitability (EBITDA) to its total enterprise value (EV). Unlike the P/E ratio, which focuses solely on net earnings, this ratio provides a broader picture by neutralizing the effects of capital structure.

Formula:

EBITDA/EV = EBITDA / (Market capitalization + Net debt)

EBITDA represents earnings before interest, taxes, depreciation and amortization. Enterprise value (EV) equals market capitalization plus net debt (total debt minus cash).

Interpretation: The higher the ratio, the more operating cash flow a company generates relative to its total value — suggesting potential undervaluation.

Advantages of the EBITDA/EV ratio

This ratio offers several strengths for financial analysis:

Neutralizes accounting distortions: EBITDA removes the impact of depreciation policies, which vary significantly across companies and industries. This makes international comparisons more meaningful.

Accounts for debt: Unlike ratios based solely on market capitalization, EV incorporates leverage. Two companies with identical market caps but different debt levels are correctly differentiated.

Focus on operational performance: By excluding financial charges and taxes, the ratio zeroes in on a company's intrinsic ability to generate value.

Sector comparability: The ratio enables meaningful comparisons between competitors within the same industry, even when their financial structures diverge significantly.

Backtest results 2004–2024

I ran an exhaustive backtest on Swiss and French markets to assess the ratio's real-world effectiveness. Methodology: stocks were ranked annually by EBITDA/EV (trailing 12-month EBITDA / current enterprise value), then split into quintiles. The analysis was conducted within industry sectors, an approach that proved slightly more effective.

Results include dividends, fractional shares and corporate events.

Overall performance

MarketTop quintileMarket returnOutperformance
Switzerland11.02% /year8.36% /year+2.66%
France6.75% /year3.06% /year+3.69%

Performance by company size

CategorySwitzerlandFrance
Large & Mid CapsModest performanceModest performance
Small & Micro Caps11.81% /year7.2% /year

Key takeaways

✓ The ratio works on both markets: Stocks in the top quintile (highest EBITDA/EV) systematically outperform the market.

✓ Maximum effectiveness on small caps: EBITDA/EV shows its strongest predictive power on small and micro caps in both Switzerland and France. These less-covered stocks create more pricing inefficiencies — and more arbitrage opportunities for the disciplined investor.

✓ Relative positioning: EBITDA/EV is not the top-performing single ratio in either market. Gross margin growth leads in Switzerland at 13.4% per year, while dividend yield tops France at 7% per year.

Frequently asked questions

What is the difference between EBITDA/EV and the P/E ratio?

The P/E ratio is based on net earnings after all charges, while EBITDA/EV uses operating profit before depreciation and amortization. EBITDA/EV also incorporates debt through the EV denominator, offering a more complete picture. The P/E ratio is sensitive to accounting choices and tax structures; EBITDA/EV is not.

What EBITDA/EV level should be considered attractive?

There is no universal threshold. The ratio must always be interpreted relative to sector peers. The backtest shows that the top 20% of stocks by EBITDA/EV within their sector consistently outperform — sector-relative ranking matters more than any absolute figure.

Does EBITDA/EV work better on certain types of companies?

Yes. The backtest shows substantially stronger results on small and micro caps. Results on large caps are more modest. This likely reflects lower market efficiency in smaller stocks, creating more exploitable mispricings — a dynamic well-documented in academic literature on the size premium.

Can EBITDA/EV be used as a standalone investment signal?

While effective, no single ratio is sufficient on its own. EBITDA/EV should ideally be combined with additional criteria — business quality, growth trajectory, financial solidity — for a complete analysis. My quantitative approach integrates multiple factors simultaneously to reduce reliance on any one signal.

Can companies manipulate EBITDA?

EBITDA is sometimes criticized as "earnings before bad stuff" — it can obscure certain realities such as recurring restructuring costs or necessary capital expenditures. This is why it should be analyzed as a trend over time and cross-checked against operating cash flows to detect potential anomalies.

Conclusion

The EBITDA/EV ratio is an effective tool for identifying undervalued stocks, particularly among small caps. My 20-year backtest confirms its ability to generate outperformance on both the Swiss and French markets: +2.66% per year in Switzerland and +3.69% in France relative to the benchmark.

Its main strength lies in neutralizing differences in financial and accounting structures, enabling meaningful sector-relative comparisons. That said, it does not rank as the single best ratio on either market: gross margin growth (Switzerland) and dividend yield (France) show superior standalone performance.

EBITDA/EV finds its best use as part of a diversified quantitative strategy alongside other factors — especially for the initial screening of small-cap opportunities where market inefficiency is most pronounced.

Sources and data

Financial data: FactSet (financial ratios, valuations, historical data)

Backtest methodology: Swiss and French company data, period 2004–2024, annual rebalancing, adjusted for dividends and corporate events

Sector classification: GICS (Global Industry Classification Standard)


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