Price-to-Sales Calculator
Calculate the price-to-sales (P/S) ratio for any stock. Enter market cap and annual revenue — the ratio works for profitable and pre-profitable companies alike. Add a net margin to see the implied P/E.
Enter market cap and revenue in the same unit (millions, billions, or raw dollars).
Share price × shares outstanding
Trailing twelve-month total revenue
Unlocks implied P/E and net income
Enter market cap and revenue to calculate the P/S ratio.
Sector P/S benchmarks
P/S ratios reflect both sector growth expectations and margin structures. High-margin software commands multiples far above low-margin commodity businesses with similar revenue.
| Sector | Typical P/S Range | Context |
|---|---|---|
| Technology (SaaS / Cloud) | 6–20× | Recurring revenue and high margins command large premiums |
| Technology (Hardware / Semis) | 3–8× | Lower margins compress P/S vs pure software |
| Health Care (Large Pharma) | 3–7× | Patent moats and high margins support premium multiples |
| Consumer Discretionary | 0.5–2.5× | Low-margin retail compresses P/S; brand leaders at higher end |
| Communication Services | 1.5–5× | Platform businesses trade higher than legacy telcos |
| Consumer Staples | 0.6–2× | Low margins and stable revenue; P/S range is narrow |
| S&P 500 Average | 2–3.5× | Broad market benchmark (2024 est.) |
| Industrials | 0.8–2.5× | Asset-heavy, moderate margins; P/S less relevant than EV/EBIT |
| Health Care (Biotech / Devices) | 3–15× | Wide range; pre-revenue biotechs valued on potential, not P/S |
| Real Estate (REITs) | 3–10× | Revenue ≠ cash flow for REITs; use Price/FFO instead |
| Energy | 0.3–1.5× | Commodity revenue with thin margins; very low P/S typical |
| Utilities | 1.5–3× | Regulated revenue; predictable P/S range |
| Materials | 0.5–2× | Commodity-driven revenue; margins and cycles dominate |
Reference estimates only. P/S multiples shift with interest rates, growth expectations, and sector rotation. Sources: consensus analyst data.
Formula reference
The exact formula this calculator uses to compute Price-to-Sales (P/S) Ratio.
P/S = Market Cap ÷ RevenueMarket CapShare price × shares outstandingRevenueTrailing 12-month total revenue- P/S compares the whole equity value to yearly sales — useful for companies not yet profitable.
- It ignores margins, so a high-margin and a low-margin business at the same P/S are not equally valued.
Educational reference only — not investment advice. See the glossary for plain-English definitions of each term.
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Frequently asked questions
Common questions about the price-to-sales ratio and revenue-based valuation.
The price-to-sales ratio compares a company's market capitalization to its annual revenue. It tells you how much the market is paying for each dollar of revenue. A P/S of 3× means investors are paying $3 for every $1 of annual revenue. P/S is particularly useful for companies that are not yet profitable — where P/E is meaningless — because revenue is always positive.
P/S = Market Capitalization ÷ Annual Revenue (TTM). Alternatively: P/S = Stock Price ÷ Revenue Per Share. For example, a company with a $5B market cap and $2B in trailing twelve-month revenue has a P/S of 2.5×. You can also start from per-share data: if the stock trades at $50 and revenue per share is $20, P/S = 50 ÷ 20 = 2.5×.
It depends entirely on the sector and the company's margin profile. High-margin SaaS businesses routinely trade at 8–20× P/S because each dollar of revenue converts efficiently to profit. Low-margin retailers trade at 0.3–1.0× because margins are thin. A P/S ratio is only meaningful compared to sector peers with similar margin structures.
Early-stage growth companies — particularly in technology and biotech — often invest heavily in growth at the expense of near-term profitability. P/E is undefined or negative for these companies, making it useless. P/S provides a relative valuation anchor even when earnings are absent. However, it must be paired with revenue growth rate and gross margin to assess whether the multiple is justified.
P/S ignores profitability. A company with 5% net margins and a 5× P/S trades at a very different intrinsic value than a company with 40% net margins at the same multiple. High revenue growth can justify a high P/S, but only if that growth eventually converts to meaningful earnings. P/S alone cannot distinguish between a genuinely undervalued business and a high-revenue, low-profit company with structural margin problems.
P/S and net profit margin are directly linked through the P/E ratio: P/S = P/E × Net Margin. If you expect a business to eventually achieve a 20% net margin and trade at 25× earnings, the implied P/S is 5× (25 × 0.20). This relationship helps assess whether a current P/S is reasonable given the margin trajectory the market is implicitly pricing in.
Equity Rank incorporates price-to-sales into its multi-method valuation consensus, with sector-adjusted weighting. For high-growth, pre-profitable technology and biotech companies, P/S receives more weight in the consensus. For capital-heavy industrials and energy companies where margins are thin, EV/EBITDA and cash flow multiples receive more emphasis. The result is a composite fair value estimate calibrated to the company type.
This tool is for research and educational purposes only. It does not constitute financial advice. P/S ratios ignore profitability — a low P/S does not indicate undervaluation if margins are structurally thin or negative. Always pair P/S with gross margin, growth rate, and path-to-profitability analysis. Equity Rank is not a registered investment adviser. Consult a qualified financial professional before making investment decisions.
Go deeper: multi-method valuation
P/S is most useful for growth and pre-profitable companies. Pair it with margin analysis and DCF for companies approaching profitability.
Learn more about how Equity Rank weights these models in the methodology or browse the full free tool directory. Still have questions? See the FAQ.
Read the method behind this calculator
Each explainer walks through the formula, the inputs it needs, and the cases where it stops being informative.
More write-ups in the blog, or see how the models are weighted in the methodology.