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Glossary/Equity Markets/Price-to-Earnings Ratio
Equity Markets
5 min readUpdated Apr 12, 2026

Price-to-Earnings Ratio

ByConvex Research Desk·Edited byBen Bleier·
P/E ratioP/EPE multipleearnings multipleCAPEShiller CAPEforward PEtrailing PE

The ratio of a stock's market price to its earnings per share, the most widely used valuation metric, expressing how much investors will pay for a dollar of earnings and implicitly embedding expectations for future growth and required return.

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Analysis from May 14, 2026

What Is the P/E Ratio?

The Price-to-Earnings (P/E) ratio is the most widely used equity valuation metric in the world, the ratio of a stock's market price to its earnings per share:

P/E = Stock Price ÷ Earnings Per Share

Or for an index: P/E = Total Market Capitalisation ÷ Total Net Income

A P/E of 20x means investors are paying $20 for every $1 of annual earnings. The reciprocal, the earnings yield (1/P/E = 5% in this case), represents the theoretical annual return to shareholders if all earnings were paid out and growth was zero. This earnings yield can be directly compared to bond yields, providing the foundation for the equity risk premium framework.

P/E Variants

Variant Calculation Use Case Limitation
Trailing P/E (TTM) Price ÷ last 12 months actual EPS Historical valuation; analysis Backward-looking; distorted by one-time items
Forward P/E Price ÷ next 12 months consensus EPS Investment decisions; relative value Embeds analyst optimism bias (+5-10%)
Shiller CAPE Price ÷ 10-year avg inflation-adjusted EPS Long-term return forecasting Too slow for tactical decisions
PEG Ratio P/E ÷ EPS growth rate (%) Growth-adjusted valuation Growth rates are uncertain
P/FCF Price ÷ free cash flow per share Cash-based valuation (no accounting noise) FCF can be lumpy

S&P 500 P/E Through History

Period Trailing P/E Range Forward P/E Range Regime
1950-1965 8-18x N/A Post-war expansion
1966-1982 6-15x N/A Stagflation; P/E compression
1982-2000 8-30x 12-28x Great bull market; P/E expansion
2000-2002 25-45x (bubble) 15-25x Dot-com bust; reversion
2003-2007 15-20x 13-17x Pre-GFC normal
2009 13x (trough) 10x (trough) Maximum pessimism
2010-2019 16-24x 14-19x QE-supported expansion
2020-2021 22-40x 18-23x Stimulus + zero rates
2022 15-21x 15-18x Rate shock; P/E compression
2023-2024 20-25x 18-22x AI optimism + rate cut expectations

Long-run mean: ~16-17x trailing; ~15-16x forward. The post-2010 era has consistently traded above these averages, reflecting structurally lower rates, higher tech sector weight, and share buyback support.

The CAPE Ratio: Long-Term Valuation

Robert Shiller's Cyclically Adjusted P/E (CAPE) is the gold standard for long-term equity return forecasting:

Starting CAPE 10-Year Annualized Return (avg) Historical Occurrences
< 10 +16%/yr 1920s, 1930s, 1940s, 1980-1982
10-15 +10-12%/yr 1950s-1960s, 2008-2009
15-20 +6-10%/yr Most "normal" periods
20-25 +4-6%/yr Late 1990s, 2014-2018
25-30 +2-4%/yr 1929, 1997-1998, 2020
30+ +0-3%/yr 1999-2000, 2021-2024

The correlation between starting CAPE and 10-year forward returns is approximately -0.8, among the strongest predictive relationships in finance. The US CAPE has been above 30x since 2020, implying muted 10-year forward returns relative to the long-run 10% average.

P/E and Interest Rates: The Fundamental Relationship

The most important equation in equity valuation:

Equity Risk Premium (ERP) = Earnings Yield (1/P/E) - 10Y Treasury Yield

Year S&P 500 Forward P/E Earnings Yield 10Y Yield ERP Interpretation
2010 13x 7.7% 3.3% 4.4% Equities cheap vs bonds
2015 17x 5.9% 2.3% 3.6% Fair
2020 22x 4.5% 0.9% 3.6% Fair (low yields justify high P/E)
2021 21x 4.8% 1.5% 3.3% Slightly rich
2022 (Oct) 15x 6.7% 4.3% 2.4% Equities repriced for higher rates
2024 21x 4.8% 4.3% 0.5% Expensive, minimal premium over bonds

When the ERP falls below 1%, equities are historically expensive relative to bonds. The 2024 reading of ~0.5% is among the lowest since the dot-com bubble, meaning stocks offer minimal compensation for their additional risk.

P/E by Sector

Sector Typical Forward P/E Range Why
Technology 25-35x High growth, high margins, asset-light
Communication Services 18-25x Growth + recurring revenue
Consumer Discretionary 18-28x Cyclical growth; Amazon distorts
Healthcare 15-22x Defensive growth; pipeline optionality
Industrials 16-22x Cyclical; capex-driven growth
Consumer Staples 18-25x Defensive; stable but slow growth
Financials 10-15x Regulated; cyclical earnings; credit risk
Energy 8-15x Commodity-driven; volatile earnings
Utilities 15-20x Bond proxy; regulated returns
Real Estate 15-25x (P/FFO) Leverage-sensitive; yield vehicle

What to Watch

  1. S&P 500 forward P/E, the single most-referenced valuation number. Above 20x = elevated; below 15x = historically cheap.
  2. Earnings yield minus 10Y yield (ERP), below 1% = stocks expensive vs bonds; above 4% = stocks cheap.
  3. Growth vs Value P/E spread, when the spread between growth and value P/Es is at extremes (>2x), reversion tends to follow.
  4. Shiller CAPE, for strategic allocation decisions on multi-year horizons. Above 30x = expect below-average 10-year returns.
  5. P/E compression in real time, during selloffs, determine whether the decline is EPS-driven (earnings falling) or multiple-driven (P/E compressing). Multiple compression with stable earnings is a buying opportunity; falling earnings with stable P/E means more downside as estimates catch down.

Frequently Asked Questions

What is a "good" P/E ratio for a stock?
There is no universally "good" P/E because the appropriate multiple depends on growth rate, industry, interest rates, and risk. However, useful benchmarks: (1) S&P 500 average: the long-run trailing P/E is ~16-17x; the post-2010 average is ~20-22x (elevated by low rates and tech dominance). Paying less than the market average for a stock growing at the market rate is generally "value." (2) PEG ratio framework: Peter Lynch popularised the idea that a stock's P/E should roughly equal its EPS growth rate. A company growing EPS at 20%/year is "fairly valued" at 20x; at 10x it's cheap; at 40x it's expensive. (3) Sector norms: Technology (25-35x), Consumer Staples (18-25x), Financials (10-15x), Energy (8-15x), Utilities (15-20x). A tech stock at 15x P/E is unusually cheap; a utility at 25x is unusually expensive. (4) Interest rate context: when 10Y yields are at 1.5%, an equity P/E of 22x (earnings yield of 4.5%) is relatively attractive. When 10Y yields are at 5%, a 22x P/E (4.5% earnings yield) offers almost no premium over risk-free bonds, making equities less attractive. In 2022, the S&P 500 P/E compressed from 21x to 15x specifically because rising rates made the equity risk premium inadequate.
What is the Shiller CAPE ratio and why does it predict long-term returns?
The Cyclically Adjusted Price-to-Earnings ratio (CAPE), developed by Nobel laureate Robert Shiller, divides the current S&P 500 price by the average of the last 10 years of inflation-adjusted earnings. By using a decade of earnings, CAPE smooths out business cycle fluctuations that make trailing P/E misleading (earnings spike near cycle peaks and crater in recessions). CAPE's predictive power is remarkable for long-term returns. The correlation between starting CAPE and subsequent 10-year annualised returns has been approximately -0.8 since 1880 — meaning high CAPE reliably predicts low future returns and vice versa. Historical data: CAPE of 10 → subsequent 10-year return averaged +16%/yr. CAPE of 20 → ~8%/yr. CAPE of 30 → ~3%/yr. CAPE of 35+ → ~1%/yr or negative. The US CAPE reached 38x in late 2021 and has remained above 30x through 2024, which historically implies 10-year forward returns of 3-5% annualized — well below the long-run 10% average. Critics argue CAPE is "broken" because: (1) accounting changes have structurally lowered reported GAAP earnings, inflating CAPE; (2) the tech sector's high margins and asset-light models justify higher multiples; and (3) low real yields in the 2010s structurally supported higher CAPE. These are valid points — CAPE is not a timing tool, but as a 10-year return forecaster, its track record is unmatched.
How does the P/E ratio relate to interest rates?
The P/E ratio and interest rates have an inverse relationship that represents the most important valuation framework in equity markets. The logic: equity earnings yield (1/P/E) must offer a premium over the risk-free bond yield to compensate for the additional risk of owning stocks. When bond yields fall, investors accept lower earnings yields (higher P/Es) because the alternative return is terrible. When bond yields rise, investors demand higher earnings yields (lower P/Es) because bonds become competitive. The "Fed Model" formalises this: it compares the S&P 500 forward earnings yield to the 10-year Treasury yield. When the earnings yield exceeds the bond yield by 2%+ (Equity Risk Premium), stocks are "cheap." When the spread narrows to 0-1%, stocks are "expensive." The 2022 P/E crash was a textbook demonstration: as 10Y yields rose from 1.5% to 4.3%, the S&P 500 forward P/E compressed from 21x to 15x (a 28% valuation decline). Conversely, the 2020-2021 rally was partly driven by yields collapsing to 0.5%, which justified P/Es of 22x+. One key nuance: this relationship is stronger for growth stocks (high P/E, long-duration) than value stocks (low P/E, short-duration). A 1% rise in the 10Y yield might compress a 40x tech stock by 20% but a 10x utility by only 5%.
Why does the US market trade at a premium P/E compared to other markets?
The US equity market consistently trades at a significant P/E premium to international markets — the S&P 500 forward P/E is typically 18-22x versus 12-15x for Europe (STOXX 600), 12-14x for Japan (TOPIX), and 8-12x for Emerging Markets. This gap has widened over the past decade and reflects several structural factors: (1) Sector composition — the S&P 500 is ~35% Technology and Communication Services (high-growth, high-margin sectors). Europe and Japan are overweight Financials, Industrials, and Energy (lower-growth). If you compare sector-for-sector, the gap narrows significantly. (2) Earnings growth — US companies have delivered consistently higher EPS growth (8-10%/year) than European (~3-5%) or EM companies, justifying a growth premium. (3) Shareholder returns — US companies return enormous capital through buybacks ($800B+/year for the S&P 500), which boosts EPS growth and signals management alignment. (4) Innovation premium — the US dominates global tech and AI (Magnificent 7), creating an innovation premium with no international equivalent. (5) Rule of law and governance — investors pay more for corporate governance quality, legal protections, and market transparency. However, the premium is at historical extremes. If US tech/AI earnings growth disappoints, the premium could compress — and the "value" in non-US markets could outperform. The relative P/E spread between US and international equities is itself a mean-reverting macro signal.
How should I use P/E ratios in my investment decisions?
Practical P/E usage framework: (1) Never use P/E in isolation — it must be combined with growth rate (PEG ratio), balance sheet quality (debt/equity), and cash flow validation (P/FCF). A stock at 8x P/E can be a value trap if earnings are about to decline 50%. (2) Compare apples to apples — compare a stock's P/E to its own historical range, its sector peers, and the market. A tech stock at 20x that normally trades at 30x is cheap relative to itself. (3) Use forward P/E for investing, trailing P/E for analysis — forward P/E captures expectations about the future, which is what the market prices. Trailing P/E is backward-looking. But be aware of analyst optimism bias in forward estimates. (4) Watch P/E compression/expansion cycles — when the S&P 500 P/E is above 20x and rising, multiple expansion is driving returns (unsustainable). When P/E is below 15x, the valuation floor is providing a margin of safety. (5) Adjust for the rate environment — a 20x P/E with 10Y yields at 1.5% (equity risk premium of 3.5%) is very different from a 20x P/E with 10Y yields at 5% (equity risk premium of 0%). The most common mistake is comparing today's P/E to historical averages without adjusting for the rate environment.

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