P/E Ratio Calculator (Price-to-Earnings)

P/E ratio — the world\'s most-cited stock valuation number

10 Things to Know About P/E

Frequently asked questions

• Which P/E should I use — trailing or forward?+

  Both, for different purposes. Trailing P/E is concrete — last 12 months\' actual reported earnings. Use it for stable mature firms and as a sanity check against rosy forward estimates. Forward P/E is the market-pricing benchmark — what investors are paying for future earnings. Use it for growth stocks, recovering cyclicals, and current-multiple comparisons. The gap between them tells you what analysts expect: forward < trailing = expected growth; forward > trailing = expected decline. Most equity research and CNBC discussions reference forward P/E by default.

• Is a low P/E a buy signal?+

  Sometimes — but more often it\'s a value trap warning. Reasons a stock might trade at a "cheap" P/E: (a) cyclical peak earnings — energy producers at oil-price highs, semiconductor firms at supply-cycle peaks, (b) structural decline — fixed-line telcos, legacy print media, (c) governance/management concerns — accounting scandals, dilutive insider behaviour, (d) regulatory/litigation overhang — opioid manufacturers, tobacco. A genuinely cheap stock will look cheap on multiple metrics simultaneously (low P/E + low P/B + high free cash flow yield + sustainable dividend). Single-metric "cheap" is rarely the bargain it looks like.

• Why is the tech sector P/E so high?+

  Three structural reasons. (1) Higher expected earnings growth — software businesses scale at lower marginal cost than industrials. (2) Higher quality earnings — recurring SaaS revenue is more predictable than cyclical industrial revenue, justifying lower discount rates. (3) Optionality value — many tech companies have credible expansion paths (cloud, AI, international) that generate option value not in current earnings. The risk: if growth disappoints, multiple compression is brutal — a P/E going from 35 to 20 is a 43% price decline before any earnings change. 2022 tech selloff was largely multiple compression.

• What\'s the Fed Model?+

  An informal benchmarking framework popular in tactical asset allocation. It compares the S&P 500 forward earnings yield (E/P) to the 10-year Treasury yield. When earnings yield exceeds Treasury yield by a wide margin, equities theoretically offer better return-per-unit-risk than bonds. The model gets its name from a 1997 Federal Reserve report (though the Fed never officially endorsed it). Academic critique: equities are riskier than bonds, so a meaningful spread is required to compensate — comparing nominal yields ignores that risk premium. Despite the critique, the spread remains a widely-cited tactical indicator. Mid-2026 with the 10y near 4.5% and forward S&P E/P near 5%, the spread is narrow — suggesting equities aren\'t notably cheap vs bonds.

• Why does the calculator show no P/E for some companies?+

  P/E is mathematically undefined for loss-making companies (negative EPS produces a meaningless negative P/E). Common with growth tech in early stages (Uber pre-2024, many SaaS firms pre-profitability), biotech (long pre-revenue R&D phases), and recently-IPO\'d firms. For these, use alternative multiples: EV/Sales (popular for growth tech), EV/EBITDA (if EBITDA-positive), P/B (price-to-book), or P/FCF (free cash flow yield). Some practitioners use "adjusted EPS" that adds back non-cash charges to push a firm into positive territory — controversial because it can mask real losses.

• Should I use GAAP or non-GAAP EPS?+

  For cleanest comparison: GAAP EPS (the audited, reported number). For matching analyst consensus + management narrative: non-GAAP / adjusted EPS (excludes stock-based comp, restructuring, one-time charges). The gap can be material — for many SaaS firms, GAAP EPS is loss-making while non-GAAP is positive, mostly due to stock-based comp exclusion (which CFA practitioners regard as a real economic cost). For sector comparisons, stick with GAAP consistency. For matching CNBC headlines and consensus-beat analysis, use non-GAAP. Yahoo Finance and Google Finance default to GAAP for trailing; consensus forwards often blend.

• What\'s a "PEG ratio" and why is it better than raw P/E?+

  PEG = P/E ÷ expected earnings growth (%). It adjusts P/E for growth, making cross-company comparisons more meaningful. Peter Lynch\'s famous heuristic: PEG < 1.0 = attractively priced, PEG > 2.0 = expensive. A stock with P/E 30 and 25% growth has PEG 1.2 (reasonable); a stock with P/E 15 and 5% growth has PEG 3.0 (expensive despite low P/E). Use our PEG ratio calculator (RT-FIN-229) to compute and interpret PEG with the same inputs you entered here.

• How do ASEAN P/E benchmarks compare to US?+

  ASEAN markets generally trade at lower P/E multiples than US/global developed markets, reflecting (a) lower analyst coverage + visibility premium, (b) higher sovereign + currency risk for foreign investors, (c) less tech/growth weighting in indexes (mostly banks, telcos, plantation, REITs). STI Singapore ~12 (banks-heavy + low growth); KLCI Malaysia ~14; SET Thailand ~15-17; JCI Indonesia ~18 (highest EM growth premium); HSI Hong Kong ~10-12 (deeply discounted vs developed); vs S&P 500 ~22 mid-2026. The ASEAN discount has been persistent for years and could be a value opportunity — or could reflect real risk-adjusted return differences. Match P/E to expected growth for fair comparison.

• Is anything I enter saved or transmitted?+

  No. Price, EPS, Treasury yield — every input stays in your browser. The P/E + earnings-yield + Fed-Model computation runs as client-side JavaScript. Open DevTools → Network when you click Calculate and you\'ll see zero outbound requests. Safe for confidential equity research work.

• Where can I read more about P/E and valuation multiples?+

  Foundational: Graham & Dodd, Security Analysis (1934) — invented modern stock valuation. Modern standard: Damodaran A., Investment Valuation, Ch.17-19 on multiples. Shiller R., Irrational Exuberance for CAPE history. CFA Institute curriculum: Equity Investments Level 2 reading on price multiples. Damodaran\'s data archive (pages.stern.nyu.edu/~adamodar/) has industry-average P/E updated annually — invaluable for context.

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