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Historical Valuation Percentiles by Sector

A data-driven framework for understanding how P/E, P/B, and P/S ratios differ across sectors over multiple decades. Learn why comparing valuations within sectors produces far more accurate signals than cross-sector comparisons.

February 15, 2026


Why Sector Context Is Everything in Valuation

One of the most common mistakes investors make is comparing valuation multiples across different sectors. A technology company trading at 35x earnings looks expensive next to a utility at 14x, but that comparison ignores the fundamental differences in growth rates, capital intensity, margin structures, and reinvestment needs that drive those multiples. To make meaningful valuation judgments, you need to understand where a stock sits relative to its own sector history.

Professor Aswath Damodaran of NYU Stern has maintained one of the most comprehensive public databases of sector-level valuation data for over two decades. His work consistently demonstrates that valuation multiples cluster by industry in predictable ranges, and deviations from those ranges carry real predictive power for future returns.

P/E Ratios Across Sectors: A Historical Overview

The price-to-earnings ratio is the most widely cited valuation metric, but its average level varies enormously by sector. Over the past 20 years, the median P/E for the technology sector has hovered between 25x and 35x, while financial services companies have typically traded between 10x and 15x. Consumer staples sit somewhere in the middle at 18x to 24x.

These differences are not arbitrary. Technology companies command higher multiples because they typically have higher growth rates, higher margins, lower capital requirements, and greater scalability. Banks trade at lower multiples because their earnings are cyclical, heavily regulated, and tied to interest rate spreads that compress during certain economic environments.

Damodaran's data shows that sector P/E rankings have been remarkably stable over time. Technology, healthcare, and consumer discretionary have consistently ranked in the top quartile, while financials, energy, and basic materials have consistently ranked in the bottom quartile. The relative ordering rarely changes, even as absolute levels rise and fall with market cycles.

Price-to-Book Ratios Tell a Different Story

While P/E captures earnings power, the price-to-book ratio reflects the market's assessment of asset value and return on equity. Sectors with high returns on equity (like software, pharmaceuticals, and consumer brands) trade at high P/B ratios because their assets generate outsized returns. Sectors with low returns on equity (like banking, insurance, and heavy industry) trade near or below book value.

The Fama-French research on the value factor originally used P/B as the primary sorting variable. Their findings showed that low P/B stocks outperformed high P/B stocks on average, but this effect is strongest within sectors rather than across them. A low P/B bank stock is a very different proposition than a low P/B technology stock, and the reasons behind the low multiple matter enormously.

Price-to-Sales: The Revenue Multiple

The price-to-sales ratio is particularly useful for comparing companies with volatile or negative earnings, but it varies even more widely by sector than P/E. Software companies routinely trade at 8x to 15x revenue because of their high margins and recurring revenue models. Grocery retailers trade at 0.2x to 0.5x revenue because their margins are razor-thin.

Comparing a SaaS company at 10x revenue to a grocery chain at 0.3x revenue tells you almost nothing about relative value. But comparing that SaaS company to its sector median of 12x, and the grocery chain to its sector median of 0.35x, tells you a great deal.

Building a Sector Percentile Framework

The most powerful way to use sector valuation data is to calculate percentile rankings. Rather than asking whether a stock is cheap or expensive in absolute terms, ask where it falls in the distribution of its own sector. A stock at the 20th percentile of its sector's P/E distribution is statistically cheap relative to peers. A stock at the 90th percentile is expensive.

Here is a practical framework for sector percentile analysis:

  • Below 25th percentile: Deep value territory. The stock is cheaper than 75% of its sector peers. Investigate why — it could be a genuine bargain or a value trap.
  • 25th to 50th percentile: Moderate value. The stock is priced below its sector average, which historically has been a favorable starting point for long-term returns.
  • 50th to 75th percentile: Fairly valued to modestly expensive. Returns from here tend to track the sector average.
  • Above 75th percentile: Premium valuation. The stock is more expensive than 75% of peers. Strong fundamental justification is needed to expect outperformance from these levels.

Historical Context: Sector Valuation Ranges

Looking at Damodaran's data across two decades, here are approximate valuation ranges for major sectors:

  • Technology: P/E 20x-45x, P/B 3x-10x, P/S 3x-12x
  • Healthcare: P/E 18x-35x, P/B 2x-7x, P/S 2x-6x
  • Consumer Discretionary: P/E 15x-30x, P/B 2x-6x, P/S 1x-4x
  • Industrials: P/E 14x-25x, P/B 2x-5x, P/S 1x-3x
  • Consumer Staples: P/E 18x-28x, P/B 3x-8x, P/S 1x-3x
  • Financials: P/E 9x-16x, P/B 0.7x-2x, P/S 1.5x-4x
  • Energy: P/E 8x-20x, P/B 1x-3x, P/S 0.5x-2x
  • Utilities: P/E 14x-22x, P/B 1x-2.5x, P/S 1.5x-3.5x

Key Takeaways for Investors

The data is clear: valuation comparisons are only meaningful within sector context. A stock that looks expensive on an absolute basis may actually be cheap relative to its sector, and vice versa. By building sector percentile rankings into your analysis, you can avoid the trap of comparing apples to oranges and focus on finding genuine value within each market segment.

Academic research consistently supports this approach. The Fama-French three-factor model, which accounts for size and value effects, shows stronger alpha generation when value is measured relative to industry peers rather than the broad market.

Screen for Sector-Relative Value

Ready to find stocks that are undervalued relative to their sector? Our stock screener lets you filter by sector and sort by valuation metrics like P/E, P/B, and P/S — making it easy to identify stocks trading at a discount to their industry peers. Start screening today to discover opportunities the market may be overlooking.

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