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There is no single valuation ratio that makes companies in different industries directly comparable. Start with how each business makes money, then choose a valuation measure that fits that business and account for differences in growth, risk, profitability, leverage, accounting, and the economic cycle. Treat sector averages as context—not as a ranking of which stock is cheaper.
Why share prices and headline ratios can mislead
A $20 share is not necessarily cheaper than a $200 share: share price reflects both the value of the company’s equity and the number of shares outstanding. Valuation multiples provide more useful context by relating a company’s value to earnings, book value, sales, or another measure of its business.
The numerator and denominator must match. Price-to-earnings (P/E) and price-to-book (P/B) use equity value. Enterprise-value measures, such as EV/EBITDA, use enterprise value and pair it with an operating measure. Comparing an equity multiple with an enterprise-value multiple as if they meant the same thing can produce a false conclusion.
A multiple is also shaped by business fundamentals, not just an industry label. Expected growth, risk, and payout influence P/E; growth, risk, payout, and return on equity influence P/B; and growth, risk, payout, and net margin influence price-to-sales. Two companies can therefore deserve different multiples even when they appear to be in the same sector.
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Choose a valuation measure that fits the business
Pick the measure only after checking what the company earns, how it reinvests, and whether its reported results represent a typical period. Common measures answer different questions:
| Measure | What it compares | When it can help | What to check |
|---|---|---|---|
| P/E | Equity value relative to earnings | Companies with positive, reasonably representative earnings | Whether earnings are trailing, current, or forecast; whether unusual items or a cyclical peak or trough distort them; and how many firms in the comparison have losses |
| EV/EBITDA or EV/EBIT | Enterprise value relative to operating earnings | Operating businesses with different capital structures | Capital spending needs, asset intensity, depreciation, and consistent operating definitions. EBITDA excludes capital spending and can obscure differences in depreciation. |
| P/B | Equity value relative to book value | Often useful for financial services, where book values may be closer to market values than in businesses whose value depends heavily on internally generated intangible assets | Return on equity and risk; P/B alone does not explain why companies trade at different levels |
| Price-to-sales or EV-to-sales | Equity or enterprise value relative to sales | Companies with negative earnings or earnings distorted by accounting choices | Profit margins and the path to sustainable profitability. Sales multiples are less directly affected by accounting choices than earnings or book-value multiples, but low margins can make a company look deceptively inexpensive. |
| Price-to-cash-flow | Equity value relative to cash flow | Real estate investment trusts (REITs), for which large depreciation charges can make earnings less informative | Use a consistent cash-flow definition and consider the company’s investment needs. |
These are starting points, not fixed industry rules. Common conventions include normalized P/E for cyclical manufacturers; PEG for comparisons where high growth makes P/E differences harder to interpret; sales multiples for high-growth or loss-making companies when future margins are plausible; EV/EBITDA for infrastructure; price-to-cash-flow for REITs; and P/B for financial services. For retailers, price-to-sales may be used when leverage is similar, while EV-to-sales may be more informative when leverage differs. A familiar sector convention can still mislead if it no longer reflects the businesses’ fundamentals.
Make the comparison fair before interpreting the result
For each company, record the business model, peer fit, growth evidence, risk, profitability, leverage, reinvestment needs, earnings basis, and the valuation measure you selected. Use the same period and definitions wherever possible. Then explain any material differences that remain instead of compressing them into one score.
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1. Define what counts as a peer
Choose companies with similar business models, market served, and scale—not merely companies assigned to the same broad sector. For a judgment-led comparison, a narrow group of close peers is easier to interpret. A broader sample can help statistical analysis, but it needs controls for fundamental differences. Regression can account for several variables, yet small samples, outliers, correlated predictors, and relationships that have changed over time can weaken its results.
2. Align the measurement basis
Check whether figures are trailing, current, or forecast and whether they cover comparable reporting periods. Confirm that earnings, EBITDA, cash flow, sales, and book value are defined consistently. Note unusual items and accounting choices, especially when comparing companies with different asset intensity or depreciation. Do not compare an equity-value multiple with an enterprise-value multiple without explaining the distinction.
3. Compare growth, risk, and payouts
Compare expected growth over the same horizon, and distinguish projections from realized results. Also consider business risk, financial risk, cash-flow stability, and payout: companies with similar industry labels may differ in all four. PEG adjusts P/E for growth, but it is only a partial adjustment. It assumes other relevant characteristics are comparable and that the multiple responds proportionally to growth; those assumptions may not hold. Aswath Damodaran’s sector-multiple guidance notes, “Big differences in growth across firms make it difficult to compare PE ratios.”
4. Put margins and returns beside the multiple
A sales multiple says little about the quality of those sales without margin context. Compare current profitability and whether sustainable margins appear plausible. When using P/B, compare return on equity and risk as well. A low ratio is not, on its own, evidence that a company is undervalued.
5. Account for leverage and reinvestment
When debt levels differ, an enterprise-value measure can help compare the operating business without treating different capital structures as equivalent. That does not make EV/EBITDA automatically suitable: compare capital spending needs and asset intensity, and apply the same operating definitions. A business that needs substantial reinvestment can be less attractive than its EBITDA suggests.
6. Normalize cyclical results
A peak-year or trough-year result may not represent a cyclical company’s ordinary earning power. Consider earnings across the cycle rather than relying on one period. Check whether peers are being measured at similar points in the cycle; otherwise, apparent valuation differences may largely reflect timing.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What sector averages can—and cannot—tell you
Sector averages can show where a company sits relative to a defined group, but they do not establish intrinsic value or make businesses with different economics directly comparable. The result depends on the date, geography, sample composition, and calculation method. In particular, an industry P/E can be difficult to interpret when many firms report losses.
For scale, Aswath Damodaran’s U.S. sector P/E dataset, analyzed as of January 2026, reported trailing losses at 78.85% of 52 Advertising firms and 6.67% of 15 Money Center Banks. These are dated sample figures, not enduring characteristics of those industries. They illustrate why a sector’s headline P/E may represent a very different set of profitable companies depending on the industry.
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The same January 2026 dataset’s Total Market row covered 5,994 firms: 57.16% reported trailing losses, and the row showed a trailing P/E of 57.86. The dataset also reported 26.56 for aggregate market capitalization divided by trailing net income among firms with positive earnings. These values use different inclusion rules; an aggregate multiple should always be read with its denominator and sample definition. They are a dated U.S. snapshot, not a live market reading.
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Damodaran’s NYU Stern materials on valuation multiples explain the conceptual framework, while his industry data index catalogs industry data for multiple types, margins, leverage, and growth across several geographies. For a live comparison, confirm the selected dataset’s date and definitions and use data current to the valuation date.
A practical way to state your conclusion
Once the comparison is complete, describe what the chosen multiple indicates and what could change that reading. For example: “Company A trades at a lower EV/EBITDA than the selected peers, but it also has lower margins and higher reinvestment needs; the ratio alone does not establish that it is cheaper.” This keeps the conclusion tied to the evidence rather than treating one number as a verdict.
Relative valuation estimates how market prices compare across businesses judged to be comparable. It is not a guarantee of intrinsic value or a recommendation about a particular stock.
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