- 1P/E Ratio = Stock Price ÷ Earnings Per Share (EPS)
- 2A low P/E isn't always good and a high P/E isn't always bad — context is everything
- 3Forward P/E (using expected earnings) is more useful than trailing P/E for investment decisions
- 4Always compare P/E within the same industry — a tech company's P/E and a bank's P/E are apples and oranges
- 5Earnings yield (the inverse of P/E) is what our model uses because it handles negative earnings gracefully
#What Is the P/E Ratio?
The price-to-earnings ratio is the most widely used valuation metric in investing. It measures how much investors are willing to pay for each dollar of a company's earnings — essentially, how expensive a stock is relative to its profits.
P/E Ratio = Stock Price ÷ Earnings Per Share (EPS)
If a stock trades at $100 and earns $5 per share, its P/E is 20. This means investors are paying $20 for every $1 of annual earnings. Another way to think about it: at the current earnings rate, it would take 20 years of profits to pay back the stock price.
The P/E ratio is so ubiquitous that it appears on virtually every stock quote page, in every analyst report, and in most financial media coverage. Its simplicity is both its greatest strength and its greatest weakness.
#Understanding What P/E Really Tells You
At its core, a P/E ratio reflects the market's expectations for a company's future. Higher P/E ratios embed higher growth expectations:
The Psychology Behind P/E
- Very High P/E (50-100+): The market expects explosive future earnings growth. Investors are willing to pay a premium today because they believe earnings will eventually catch up to — and justify — the current price. This is common for disruptive technology companies in their early growth phases.
- High P/E (25-50): Strong growth expectations. These are typically quality businesses with proven track records and visible growth runways. Many of the best companies in the S&P 500 trade in this range.
- Market Average P/E (~20-25): The historical average P/E for the S&P 500 ranges from 15-25 depending on interest rates and economic conditions. A stock at the market average is priced for "normal" growth.
- Low P/E (8-15): Below-average growth expectations. The market views these companies as mature, slow-growing, or facing headwinds. Value investors hunt in this range, looking for situations where the market's pessimism is overdone.
- Very Low P/E (below 8): Extreme pessimism. The market expects earnings to decline significantly. These could be genuine bargains (if the market is wrong) or value traps (if the market is right and earnings are about to collapse).
#Forward vs. Trailing P/E
There are two fundamentally different ways to calculate P/E, and choosing the right one matters:
Trailing P/E (TTM)
Uses earnings from the past 12 months. This is the default on most financial websites.
Strengths: Uses real, audited numbers. No estimation risk.
Weaknesses: Backward-looking. If a company just had a terrible (or amazing) quarter, trailing P/E can be misleading because it doesn't reflect the company's normalized earning power.
Forward P/E
Uses analyst consensus estimates for the next 12 months.
Strengths: Forward-looking, which is what matters for investment decisions. Stocks trade on future expectations, not past results.
Weaknesses: Analyst estimates are frequently wrong. During recessions, forward estimates tend to be too optimistic; during recoveries, too pessimistic.
Interpreting the Gap
The relationship between forward and trailing P/E reveals market expectations:
| Relationship | What It Means | Example |
|---|---|---|
| Forward P/E << Trailing P/E | Analysts expect earnings growth | Growth stock entering profitability |
| Forward P/E ≈ Trailing P/E | Stable earnings expected | Mature, steady business |
| Forward P/E >> Trailing P/E | Analysts expect earnings decline | Cyclical stock at peak earnings |
Practical tip: Always check both. If a stock looks "cheap" on trailing P/E but "expensive" on forward P/E, analysts expect earnings to drop significantly.
#P/E by Industry: Why Comparisons Only Work Within Sectors
One of the most common investing mistakes is comparing P/E ratios across industries. A software company with a P/E of 30 is not "expensive" compared to a bank with a P/E of 10 — they exist in fundamentally different economic realities.
| Sector | Typical P/E Range | Why |
|---|---|---|
| Cloud Software | 30–80x | Recurring revenue, high margins, massive addressable markets |
| Technology | 25–40x | Scalable products, strong growth potential |
| Healthcare | 20–35x | Patent protection, aging population tailwinds |
| Consumer Discretionary | 15–30x | Cyclical but with brand value |
| S&P 500 Average | 18–25x | Blended across all sectors |
| Industrials | 15–20x | Moderate growth, cyclical exposure |
| Consumer Staples | 18–25x | Defensive, predictable earnings command a premium |
| Financials / Banks | 8–15x | Heavy regulation, rate sensitivity, opaque balance sheets |
| Energy | 5–15x | Extremely cyclical, commodity-dependent |
| Utilities | 12–18x | Slow growth, regulated returns, treated as bond proxies |
Rule of thumb for P/E comparisons: 1. Compare a company's P/E to its own 5-year historical average 2. Compare it to the median P/E of its industry peer group 3. Never compare across sectors
#The Shiller CAPE: P/E for the Entire Market
Professor Robert Shiller of Yale developed the Cyclically Adjusted Price-to-Earnings ratio (CAPE or Shiller P/E) to smooth the volatility of earnings cycles. Instead of using one year of earnings, CAPE uses the average of 10 years of inflation-adjusted earnings.
CAPE = Current S&P 500 Price ÷ Average of 10 Years of Inflation-Adjusted Earnings
The historical average CAPE for the S&P 500 is approximately 17. When CAPE is significantly above average, future long-term returns tend to be lower — the market is pricing in a lot of optimism. When CAPE is below average, future returns tend to be higher.
As of early 2026, the S&P 500 CAPE ratio is above 30, suggesting that broad market valuations are historically elevated. This doesn't predict short-term crashes — CAPE can remain elevated for years — but it does suggest that future 10-year returns may be below the historical average.
#The Value Trap: When Low P/E Is Dangerous
A low P/E ratio is the siren song of value investing. It's tempting to buy the cheapest stocks, but many low-P/E companies are cheap for excellent reasons.
Signs of a Value Trap
- 1Earnings are at a cyclical peak — A commodity company at peak earnings might show P/E of 5, but when commodity prices decline, earnings collapse and the "cheap" stock falls further
- 2Secular industry decline — Legacy media, coal mining, or traditional retail may have low P/Es because their industries are structurally shrinking
- 3Accounting issues — One-time gains, aggressive revenue recognition, or deferred losses can temporarily inflate earnings, making P/E look artificially low
- 4Management problems — Poor capital allocation, excessive executive compensation, or shareholder-hostile actions can justify a discount
How to Avoid Value Traps
- Check if earnings are above or below their 5-year average (peak earnings create artificially low P/E)
- Verify free cash flow backs up reported earnings (if cash flow is significantly lower than earnings, quality is suspect)
- Research whether the industry is growing or shrinking
- Look for catalysts — a cheap stock without a reason to re-rate may stay cheap indefinitely
#P/E Limitations
1. Useless for Unprofitable Companies
If a company has negative earnings, P/E is negative or undefined. This makes P/E useless for evaluating high-growth tech companies, biotech, and early-stage businesses. For these, investors use alternative metrics: P/S (price-to-sales), EV/Revenue, or P/E based on projected future profitability.
2. Easily Manipulated Through Accounting
Earnings are an accounting construct. Companies can boost EPS through: - Aggressive revenue recognition - Share buybacks (reducing shares outstanding) - Capitalizing expenses instead of expensing them - One-time gains (asset sales, tax benefits)
Free cash flow is harder to manipulate and often provides a cleaner picture of true earning power.
3. Ignores Balance Sheet
P/E doesn't account for a company's debt or cash position. Two companies with identical P/E ratios may have vastly different risk profiles if one is debt-free and the other is heavily leveraged. EV/EBITDA addresses this limitation.
4. Ignores Growth Rate
A P/E of 20 is cheap for a company growing 30% annually but expensive for one growing 5%. The PEG ratio (P/E divided by growth rate) attempts to address this, though it has its own limitations.
#Earnings Yield: We Use the Inverse of P/E
Rather than P/E itself, our ranking model uses earnings yield — the inverse of the P/E ratio:
Earnings Yield = EPS ÷ Stock Price = 1 ÷ P/E
| P/E | Earnings Yield | Interpretation |
|---|---|---|
| 10 | 10% | Very high yield — cheap or distressed |
| 15 | 6.7% | Above average yield |
| 20 | 5.0% | Market average |
| 30 | 3.3% | Below average — growth premium |
| 50 | 2.0% | Expensive — high expectations embedded |
Earnings yield has two advantages over P/E:
- 1It's directly comparable to bond yields. An earnings yield of 5% vs. a 10-year Treasury yield of 4.5% tells you stocks are offering only a small premium over risk-free bonds.
- 1It handles extreme values gracefully. A P/E of 500 is hard to interpret; an earnings yield of 0.2% is immediately clear — you're getting almost no earnings for your dollar.
#The Fed Model: P/E in Interest Rate Context
P/E ratios don't exist in a vacuum — they compete with interest rates. When bond yields are 2%, investors accept higher P/E ratios for stocks because the alternative (bonds) offers so little. When bond yields rise to 5%, stocks need to offer more attractive earnings yields, which means P/E ratios tend to compress.
This relationship — known informally as the "Fed Model" — helps explain why P/E ratios have risen over the past 40 years as interest rates have fallen, and why rising rates in 2022-2024 compressed valuations.
#How We Use P/E in Our Rankings
We use earnings yield (the inverse of P/E) as a core component of our Value factor (15% of the composite score). Specifically:
- Trailing earnings yield using the most recent four quarters of earnings
- Combined with other value metrics — cash flow yield and book-to-market — to create a more robust composite value score
- Sector-adjusted — we compare within industries to avoid penalizing high-growth sectors that naturally trade at higher P/E ratios
- Quality-filtered — following Arnott et al. (2021), we combine value with profitability to avoid cheap stocks that are cheap for good reasons
A stock that scores well on earnings yield AND profitability is the ideal combination — quality and value together historically produce the strongest long-term returns.
Last updated: February 11, 2026