Revenue Multiples by Industry: 2026 EV/Sales and Price-to-Revenue Valuation Multiples by Sector
What listed companies trade at, what private businesses actually sold for, and the margin arithmetic that connects the two. Then apply a multiple to your own revenue and see the range it implies.
Estimated business value
Method breakdown
What moves this number
Estimate, not a certified appraisal. Your figures are not stored.
In short
Revenue multiples by industry split into two completely different tables, and confusing them is the most common valuation mistake owners make. US listed companies averaged 3.97x EV/Sales in January 2026, led by non-bank financial services at 18.91x, semiconductors at 15.70x and system software at 11.41x. Privately held US small businesses sold at an average of about 0.67x annual revenue over the same market, ranging from 0.42x for restaurants to 1.18x for financial services. The gap is not an error. A revenue multiple is a profit margin assumption in disguise, and public companies are bigger, faster growing, higher margin and liquid. Use the private table if you own the business and the public table if you are benchmarking a listed comparable.
The market
What the average revenue multiple actually is
Search for a revenue multiple and you will land on a public-market table built from thousands of listed companies. It is accurate, and for almost every owner reading it, it is the wrong table. Here are both anchors side by side.
3.97x
US public market average
EV/Sales, 5,994 firms, January 2026
3.46x
Public market ex-financials
Removes the REIT and lender distortion
0.67x
Private small business average
Broker-reported closed US sales
0.70x
Private average, Q2 2026
Essentially flat year over year
A listed company is valued at roughly six times more per dollar of revenue than a private small business in the same economy. Nothing about that is irrational, and the section below shows exactly where the six times comes from. If your business earns more than it spends and the earnings are stable, the more reliable benchmark is on our SDE multiples by industry page, or the EBITDA multiples by industry page above roughly $1M of earnings.
The arithmetic
A revenue multiple is a profit margin in disguise
There is one identity behind every revenue multiple ever quoted, and once you see it the two tables stop contradicting each other:
revenue multiple = earnings multiple × profit margin
Nobody actually pays for revenue. Buyers pay for earnings, then quote the result against revenue because revenue is the number both sides agree on. That means every revenue multiple in every table already contains an implied margin, and you can recover it by division.
The table below does exactly that for the private small business data. The first two columns are the published closed-sale multiples. The third column is our own arithmetic: the revenue multiple divided by the SDE multiple, which returns the seller discretionary earnings margin the market priced into each sector. It is a useful column because it tells you whether your own business belongs above or below its sector row before you apply any multiple at all.
| Sector | Revenue multiple | SDE multiple | Implied SDE margin |
|---|---|---|---|
| Financial services | 1.18x | 2.45x | 48.2% |
| Online and technology | 1.08x | 3.19x | 33.9% |
| Entertainment and recreation | 0.85x | 2.64x | 32.2% |
| Education and children | 0.83x | 2.95x | 28.1% |
| Communication and media | 0.82x | 2.36x | 34.7% |
| Service businesses | 0.79x | 2.48x | 31.9% |
| Health care and fitness | 0.74x | 2.67x | 27.7% |
| Pet services | 0.73x | 2.46x | 29.7% |
| Manufacturing | 0.72x | 2.94x | 24.5% |
| Automotive and boat | 0.68x | 3.06x | 22.2% |
| Transportation and storage | 0.62x | 2.02x | 30.7% |
| Building and construction | 0.56x | 2.54x | 22.0% |
| Wholesale and distributors | 0.52x | 2.79x | 18.6% |
| Beauty and personal care | 0.51x | 2.02x | 25.2% |
| Retail | 0.49x | 2.53x | 19.4% |
| Food and restaurants | 0.42x | 2.16x | 19.4% |
Revenue and SDE multiples: BizBuySell broker-reported closed US small business sales. Implied SDE margin computed by Businessappraisal as revenue multiple divided by SDE multiple.
Read down the margin column and the sector ordering stops looking arbitrary. Food and restaurants sit at the bottom of the revenue table because owner earnings are about 19 percent of sales, not because buyers dislike restaurants. Financial services sit at the top because roughly 48 cents of every revenue dollar reaches the owner. The mean implied margin across these sixteen sectors is 28 percent, and dividing the published all-sector averages gives 25.7 percent, which is the same answer within rounding.
Now apply the identity to the public gap. US listed software trades at 11.41x sales. At a 25 percent operating margin that is an implied earnings multiple in the mid forties, which is roughly where high-growth software actually trades. The public multiple is not a different universe; it is the same equation with a much larger margin and a much longer growth runway plugged into it.
The data
Revenue multiples by industry for US public companies
EV/Sales for 94 US sectors, from the Damodaran dataset of 5,994 listed firms, vintage January 2026. Enterprise value divided by trailing revenue, so these are debt-inclusive and cash-adjusted. The firm count matters: a sector priced off three companies is an anecdote, not a benchmark.
Technology and software
| Sector | Firms | EV/Sales |
|---|---|---|
| Semiconductor | 66 | 15.70x |
| Software (system and application) | 309 | 11.41x |
| Software (internet) | 29 | 9.56x |
| Software (entertainment) | 77 | 9.13x |
| Semiconductor equipment | 31 | 7.61x |
| Computers and peripherals | 36 | 6.63x |
| Telecom equipment | 57 | 6.52x |
| Electronics (general) | 114 | 3.21x |
| Information services | 15 | 2.21x |
| Computer services | 64 | 1.48x |
| Office equipment and services | 14 | 1.43x |
| Electronics (consumer and office) | 8 | 0.91x |
Healthcare and life sciences
| Sector | Firms | EV/Sales |
|---|---|---|
| Drugs (biotechnology) | 496 | 7.92x |
| Drugs (pharmaceutical) | 228 | 6.24x |
| Healthcare information and technology | 115 | 5.31x |
| Healthcare products | 204 | 4.76x |
| Hospitals and healthcare facilities | 31 | 1.69x |
| Healthcare support services | 104 | 0.46x |
Financial services and real estate
| Sector | Firms | EV/Sales |
|---|---|---|
| Financial services (non-bank and insurance) | 176 | 18.91x |
| Retail REITs | 26 | 12.04x |
| REITs (all) | 190 | 10.65x |
| Bank (money center) | 15 | 8.31x |
| Real estate (general and diversified) | 12 | 6.83x |
| Brokerage and investment banking | 32 | 5.78x |
| Investments and asset management | 283 | 5.49x |
| Insurance (general) | 21 | 4.32x |
| Banks (regional) | 568 | 4.28x |
| Real estate (development) | 14 | 3.03x |
| Insurance (property and casualty) | 57 | 1.49x |
| Real estate (operations and services) | 54 | 1.46x |
| Insurance (life) | 20 | 1.28x |
| Reinsurance | 1 | 0.65x |
Industrials and manufacturing
| Sector | Firms | EV/Sales |
|---|---|---|
| Electrical equipment | 112 | 4.42x |
| Auto and truck | 33 | 3.88x |
| Aerospace and defense | 79 | 3.57x |
| Machinery | 105 | 3.43x |
| Construction supplies | 40 | 3.23x |
| Building materials | 41 | 2.05x |
| Engineering and construction | 48 | 1.74x |
| Shipbuilding and marine | 8 | 1.74x |
| Packaging and container | 19 | 1.55x |
| Steel | 19 | 1.17x |
| Paper and forest products | 6 | 1.02x |
| Auto parts | 35 | 0.82x |
| Rubber and tires | 3 | 0.59x |
Energy, utilities and materials
| Sector | Firms | EV/Sales |
|---|---|---|
| Green and renewable energy | 15 | 7.87x |
| Utility (water) | 14 | 7.16x |
| Precious metals | 56 | 5.98x |
| Utility (general) | 14 | 5.25x |
| Power | 46 | 4.70x |
| Oil and gas distribution | 23 | 4.37x |
| Metals and mining | 73 | 4.03x |
| Oil and gas (production and exploration) | 142 | 2.68x |
| Chemical (specialty) | 59 | 2.65x |
| Coal and related energy | 16 | 2.54x |
| Oil and gas (integrated) | 4 | 1.75x |
| Chemical (basic) | 29 | 0.85x |
| Chemical (diversified) | 4 | 0.84x |
| Oilfield services and equipment | 97 | 0.74x |
Consumer and retail
| Sector | Firms | EV/Sales |
|---|---|---|
| Tobacco | 10 | 6.40x |
| Hotel and gaming | 63 | 4.33x |
| Entertainment | 92 | 4.33x |
| Restaurant and dining | 64 | 4.17x |
| Beverage (soft) | 27 | 4.16x |
| Household products | 110 | 3.06x |
| Beverage (alcoholic) | 14 | 2.45x |
| Retail (building supply) | 14 | 2.26x |
| Retail (general) | 23 | 2.11x |
| Shoe | 11 | 2.04x |
| Recreation | 49 | 1.94x |
| Retail (distributors) | 62 | 1.89x |
| Retail (special lines) | 94 | 1.63x |
| Apparel | 35 | 1.59x |
| Food processing | 78 | 1.47x |
| Farming and agriculture | 35 | 1.34x |
| Furniture and home furnishings | 27 | 1.33x |
| Retail (automotive) | 34 | 1.27x |
| Homebuilding | 30 | 1.19x |
| Retail (grocery and food) | 15 | 0.49x |
| Food wholesalers | 13 | 0.46x |
Media, business services and transport
| Sector | Firms | EV/Sales |
|---|---|---|
| Transportation (railroads) | 4 | 6.67x |
| Telecom (wireless) | 12 | 3.72x |
| Environmental and waste services | 53 | 3.70x |
| Diversified | 20 | 3.08x |
| Telecom services | 39 | 2.61x |
| Business and consumer services | 155 | 2.53x |
| Advertising | 52 | 2.12x |
| Cable TV | 9 | 2.06x |
| Education | 32 | 1.99x |
| Trucking | 26 | 1.74x |
| Publishing and newspapers | 19 | 1.70x |
| Transportation | 19 | 1.64x |
| Broadcasting | 24 | 1.40x |
| Air transport | 23 | 1.03x |
Source: Aswath Damodaran, NYU Stern, US firms, data as of January 2026. Total market 3.97x across 5,994 firms; 3.46x excluding financials.
Two rows deserve a warning. Non-bank financial services at 18.91x and the REIT rows above 10x are not comparable to an operating business, because for a lender or a property trust "revenue" is interest or rent rather than sales, and the capital structure carries the return. Reinsurance is priced off a single firm. Strip the financials out and the market average falls from 3.97x to 3.46x, which is the number to quote if you are comparing an operating company.
The third source
What sell-side advisors quote, and why it runs higher
Advisor benchmark guides publish ranges rather than medians, and those ranges usually sit above the closed-transaction figures. Both are honest. An advisor is describing the engagements they take on, which skew larger, cleaner and more often contracted. The closed medians include every owner-operator business that changed hands, including the ones with a shoebox of receipts.
| Sector | Revenue multiple range | Earnings multiple range |
|---|---|---|
| SaaS and tech-enabled services | 2.0x to 6.0x | 5.0x to 9.0x EBITDA |
| Financial services (non-bank) | 1.0x to 2.0x | 5.0x to 7.0x EBITDA |
| E-commerce | 0.8x to 1.8x | 2.0x to 3.5x SDE |
| Healthcare and medical services | 0.8x to 1.5x | 2.5x to 4.5x SDE |
| Manufacturing | 0.6x to 1.2x | 2.5x to 4.0x SDE |
| Logistics and transportation | 0.6x to 1.2x | 2.0x to 3.5x SDE |
| Professional services | 0.6x to 1.0x | 2.0x to 3.0x SDE |
| Construction and trades | 0.5x to 1.0x | 2.0x to 3.5x SDE |
| Restaurants and food service | 0.3x to 0.6x | 1.5x to 2.5x SDE |
| Retail (brick and mortar) | 0.3x to 0.6x | 1.5x to 2.5x SDE |
Source: ExitsHub valuation benchmark guide, April 2026. Ranges assume clean financials and some degree of operational independence.
Do not average the two sources together. The honest way to use them is as a floor and a target: the closed median is what a typical business in your sector actually got, and the top of the advisor range is what you reach by fixing the things in the drivers section below. The same pattern shows up on the earnings side, which we work through in detail on the SDE multiples by industry reference.
The exception
Revenue multiples for SaaS companies
SaaS is the one category where a revenue multiple is the primary valuation method rather than a cross-check. Recurring revenue with high gross margin and low churn behaves enough like an annuity that buyers will price it directly, and many SaaS companies are deliberately unprofitable while they spend on growth. The unit is ARR, not trailing revenue.
| Profile | Multiple | Context |
|---|---|---|
| Bootstrapped, all sizes | 4.8x ARR | SaaS Capital median |
| Equity-backed, all sizes | 5.3x ARR | SaaS Capital median |
| Around $1M ARR, growing 40 percent | 3x to 5x ARR | Individual and micro-PE buyers |
| $3M to $10M ARR, bootstrapped | 3x to 5x ARR | Lower middle market |
| $5M to $50M enterprise value, equity-backed | 4x to 6x ARR | Lower middle market |
| NRR above 120 percent, Rule of 40 above 50 | 7x to 9x ARR | Premium band |
| 60 percent growth plus strategic competition | 10x to 12x ARR | Under 5 percent of private deals |
Note how narrow the middle of that table is. The spread between bootstrapped and equity-backed medians is half a turn, while the spread between a median company and a premium one is four turns or more. Retention and growth rate move a SaaS multiple far more than who funded the company. The public comparison is instructive too: listed system and application software trades at 11.41x sales, roughly double the top of the private median band, which is the size and liquidity premium in one number. There is a fuller walk-through on our SaaS business appraisal page.
Within your row
What moves your revenue multiple inside its sector
The sector row sets the starting point. The spread inside a single sector is routinely wider than the spread between sectors, and these are the six things that decide where you land in it.
Gross margin, before anything else
A revenue multiple is only a margin assumption in disguise. A distributor at an 8 percent net margin and a software business at a 40 percent margin can post identical revenue and be worth six times different amounts. Check the margin before you apply anyone else's multiple.
Revenue that renews without being resold
Contracted or subscription revenue carries a materially higher multiple than project revenue, because the buyer is acquiring a book rather than a sales record. This is the single largest within-sector spread on the private side of the table.
Growth rate, and only recent growth
Revenue multiples are the standard tool for fast-growing and pre-profit companies precisely because they price the trajectory. Two years of flat revenue removes most of the premium a revenue multiple is capable of paying.
Whether the revenue survives the owner leaving
Revenue attached to the seller personally is discounted heavily, and in professional services it may not transfer at all. Buyers underwrite the revenue that remains twelve months after closing, not the revenue on last year's tax return.
Customer concentration
One account at 35 percent of revenue caps the multiple regardless of the sector median, because the downside case removes a third of the top line in year one.
Capital intensity
Revenue that requires heavy reinvestment to hold is worth less per dollar than revenue that does not. This is why trucking sits at 1.74x on the public table while software sits at 11.41x on the same dataset.
The limit
When a revenue multiple is the wrong tool
Use it when
Earnings do not yet describe the business. That covers pre-profit startups, SaaS companies reinvesting ahead of profit, businesses in a turnaround or a heavy investment year, and any situation where owner compensation is so discretionary that reported profit is close to meaningless. It is also the right tool for a fast triage across a list of acquisition targets, because revenue is the one figure available before diligence.
Do not use it when
Earnings are stable and normalized, which describes most established small businesses. A revenue multiple cannot distinguish a landscaping company at a 30 percent SDE margin from an identical-revenue competitor at 12 percent, yet those two businesses differ in value by more than two to one. Buyers will not finance against revenue either. A lender underwrites the cash flow that services the debt, which is why an SDE or EBITDA figure ultimately drives the price.
The practical answer is to run all three and read the spread. Our estimate applies a revenue multiple, an EBITDA or SDE multiple and a discounted cash flow to the same numbers. When the three land close together the range is trustworthy. When the revenue method prints far above the earnings method, you have found a margin problem, and that is worth knowing before a buyer finds it for you.
Questions
Revenue multiple questions people actually ask
What is a good revenue multiple?
For a privately held US small business, a good revenue multiple is roughly 0.6x to 1.0x annual revenue, against an all-industry average near 0.67x. Professional services land at 0.6x to 1.0x, main street retail and restaurants at 0.3x to 0.6x, and SaaS with real recurring revenue at 4x to 6x ARR. Anything quoted far above your sector median is pricing growth or margin, not revenue.
How do you calculate a revenue multiple?
Divide enterprise value by trailing twelve month revenue. Enterprise value is market capitalization plus total debt minus cash. For a private sale the same formula uses the transaction price on a cash-free debt-free basis divided by annual revenue. A business that sold for $840,000 on $1.2M of revenue traded at 0.70x revenue.
How many times revenue is a business worth?
Most US small businesses sell for between 0.4 and 1.2 times annual revenue, and the average across all sectors is about 0.67x. That figure is far below the public-market average of 3.97x EV/Sales because listed companies are larger, faster growing, and carry higher margins. Use the sector row that matches your business, not the market average.
What is the difference between a revenue multiple and an EBITDA multiple?
A revenue multiple prices the top line and ignores profitability; an EBITDA multiple prices earnings after operating costs. They are arithmetically linked: the revenue multiple equals the earnings multiple times the profit margin. Revenue multiples are used when earnings are negative, volatile, or being deliberately reinvested. Earnings multiples are used everywhere else, and are what an actual buyer will underwrite.
Why are public company revenue multiples so much higher than private ones?
Four reasons compound. Public companies are far larger, so they carry lower risk premiums. They grow faster on average. They earn higher gross margins, and a revenue multiple is a margin bet. And listed shares are liquid, while a private business takes six to twelve months to sell. Together these explain most of the gap between 3.97x and 0.67x.
When should you use a revenue multiple instead of an EBITDA multiple?
Use a revenue multiple when earnings do not yet describe the business: pre-profit startups, SaaS companies deliberately spending on growth, businesses in a turnaround year, or asset-light firms whose owner compensation distorts profit. Once earnings are stable and normalized, an SDE or EBITDA multiple is more accurate, and it is the number the buyer will finance against.
What is a good revenue multiple for a SaaS company?
Median private SaaS trades near 4x to 5x ARR in 2026. SaaS Capital data puts bootstrapped companies at 4.8x and equity-backed at 5.3x. A company at $1M ARR growing 40 percent sits at 3x to 5x. Reaching 7x to 9x generally requires net revenue retention above 120 percent and a Rule of 40 score above 50.
What industry has the highest revenue multiple?
Among US listed companies in January 2026, non-bank financial services led at 18.91x EV/Sales, followed by semiconductors at 15.70x, retail REITs at 12.04x, and system and application software at 11.41x. On the private small business side the leaders are far lower: financial services at 1.18x and online and technology at 1.08x.
Is revenue multiple valuation accurate?
It is a fast sanity check, not a valuation. Two businesses with identical revenue and different margins are worth very different amounts, and a revenue multiple cannot see the difference. Treat it as one of three cross-checks alongside an earnings multiple and a discounted cash flow, and expect the earnings-based number to carry the negotiation.
Apply a revenue multiple to your own numbers
Enter revenue, earnings and growth. You get a value range from three methods, the revenue multiple among them, benchmarked against comparable sales and with the drivers that moved the number explained in plain English.
Related benchmarks
Last updated August 2026