Business Valuation Multiples by Industry: SDE Multiples, EBITDA Multiples and Revenue Multiples by Sector
What businesses actually sold for in your industry, on three earnings bases, from closed US transactions and the January 2026 public market, with the multiple that applies at your size.
Estimated business value
Method breakdown
What moves this number
Estimate, not a certified appraisal. Your figures are not stored.
In short
Most US small businesses sell for 2x to 4x seller's discretionary earnings, on an all industry average of about 2.5x across roughly 9,500 closed 2025 sales and 2.7x in 2026 quarterly data. Marinas led at 6.60x, car washes at 4.73x and self storage at 4.60x, while law firms closed at 1.87x and distribution routes at 1.51x. The multiple rises with size on every dataset: 2.0x SDE under a $500,000 price, 3.0x from $1M to $2M, then 5.9x adjusted EBITDA at $10M to $25M of enterprise value. Listed companies are a separate market. US public firms outside financials traded at 16.95x EBITDA and 3.46x revenue in January 2026, and across the 16 industries where both can be measured, a private business is paid a median 68% less per dollar of revenue than the listed companies in its own sector.
The market
What valuation multiples actually run at in 2026
Four numbers frame every conversation about what a business is worth. Each industry row further down is a variation on one of them, and most disagreements about price come from quoting one of them at a business the number was never meant to describe.
2.5x
SDE, all industries
About 9,500 closed US sales, 2025
$350,000
Median sale price
US small business, 2026 quarterly
16.95x
Public EV/EBITDA
US listed firms, ex-financials
68%
Private discount
Per revenue dollar vs public, computed
One warning before you use any of them. A multiple is meaningless without the earnings base underneath it, and the four bases in common use are not interchangeable. A business quoted at 3x SDE and the same business quoted at 5x EBITDA can be the identical price, because SDE includes the owner's salary and EBITDA does not. Getting this wrong in either direction is the most common mistake in a first valuation, and it is usually worth six figures.
The definitions
Four multiples, and which one applies to you
Pick the wrong base and the number is wrong before you start. The rule of thumb is simple: if the owner works in the business, use SDE. If a paid manager runs it, use adjusted EBITDA after charging a market salary for that role.
| Multiple | What it divides price by | Who it fits | 2026 reference |
|---|---|---|---|
| SDE multiple | Price divided by seller's discretionary earnings: net profit plus owner salary, owner perks, interest, taxes, depreciation and amortization. | Owner operated businesses, roughly under $2M of earnings | 2.5x all industries, 2.7x in 2026 quarterly data |
| EBITDA multiple | Enterprise value divided by earnings before interest, taxes, depreciation and amortization, after a market rate salary for the owner's role. | Businesses with management in place, roughly $1M of EBITDA and up | 5.9x at $10M to $25M enterprise value |
| Revenue multiple | Price divided by annual revenue. Used when earnings are negative, volatile or not yet the point. | Software, ecommerce, early stage, and quick screening in any sector | 0.64x for private US small business sales |
| EV/Sales | Enterprise value divided by revenue for a listed company, which includes its debt. | Public comparable analysis only | 3.46x for US listed firms outside financials |
The bridge between the first two is the owner's compensation. Take SDE, subtract what it would cost to hire someone to do the owner's job, and you have adjusted EBITDA. On a business with $400,000 of SDE and a $110,000 market salary for the owner's role, EBITDA is $290,000. At 2.7x SDE that is $1,080,000; at 3.7x EBITDA it is $1,073,000. Same business, same price, two different looking multiples. If you want the mechanics of the add-back, the walkthrough is in how to calculate SDE, and the line by line comparison sits in SDE vs EBITDA.
The data
Business valuation multiples by industry, private sales
Multiples of seller's discretionary earnings paid in closed US small business transactions reported for 2025, roughly 9,500 deals. These are prices actually paid rather than asking prices, and the earnings base is SDE, so the owner's salary and perks are already added back.
Highest multiples
Middle of the market
Lowest multiples
The spread is the story. A marina and a distribution route are both small businesses, and one is priced at four times the other on the same earnings. What separates them is not the industry label but what the industry label implies about the assets, the contracts and how much of the business is the owner. Marinas, storage and laundromats come with real property or long lived equipment and a customer base that renews without being sold to. Routes, phone repair and jewelry stores come with inventory and a person. The full sector by sector treatment, including the advisor ranges that sit above these medians, is on SDE multiples by industry.
Advisor published ranges tell a different story than these medians and it is worth knowing why. A mergers and acquisitions advisor quoting 3x to 5x for HVAC, 4x to 6x for dental or 5x to 8x for veterinary is describing the engagements the firm takes on, which skews toward businesses that are larger, cleaner and already prepared to sell. The transaction medians above include every owner operator who sold, including the ones with one customer and no bookkeeping. Both are true. Do not average them.
Computed here
What the same industry pays private owners and public shareholders
Every owner who has read that restaurant chains trade at four times revenue has wondered why their own broker said half of one. This table answers it with numbers. For the 16 industries where a private price to revenue multiple from closed US sales can be matched to a listed sector, it shows both, side by side, with the gap measured.
| Private industry | SDE multiple | Price / revenue | Public sector | EV/EBITDA | EV/Sales | Private discount |
|---|---|---|---|---|---|---|
| Restaurants | 2.26x | 0.42x | Restaurants and dining | 17.49x | 4.17x | 90% |
| Software and apps | 3.41x | 1.08x | Software (system and application) | 24.48x | 11.41x | 91% |
| Hotels and motels | 4.02x | 0.85x | Hotels and gaming | 14.93x | 4.33x | 80% |
| Landscaping | 2.56x | 0.56x | Business and consumer services | 14.26x | 2.53x | 78% |
| Insurance agencies | 2.68x | 1.18x | Insurance (general) | 15.76x | 4.32x | 73% |
| Staffing agencies | 2.43x | 0.79x | Business and consumer services | 14.26x | 2.53x | 69% |
| Accounting firms | 2.33x | 0.79x | Business and consumer services | 14.26x | 2.53x | 69% |
| Law firms | 1.87x | 0.79x | Business and consumer services | 14.26x | 2.53x | 69% |
| HVAC and mechanical | 2.80x | 0.56x | Engineering and construction | 17.18x | 1.74x | 68% |
| Trucking | 3.11x | 0.62x | Trucking | 10.41x | 1.74x | 64% |
| Day care centers | 3.40x | 0.83x | Education | 9.26x | 1.99x | 58% |
| Ecommerce | 3.33x | 1.08x | Retail (special lines) | 11.47x | 1.63x | 34% |
| Auto repair | 2.70x | 0.68x | Auto parts | 6.43x | 0.82x | 17% |
| Grocery and convenience | 2.60x | 0.49x | Retail (grocery and food) | 8.94x | 0.49x | 0% |
| Dental practices | 3.28x | 0.74x | Healthcare support services | 11.17x | 0.46x | none |
| Medical practices | 2.58x | 0.74x | Healthcare support services | 11.17x | 0.46x | none |
The median discount is 68%. A private business is paid roughly a third of what the listed market pays for the same dollar of revenue in the same industry, and in restaurants and software it is closer to a tenth. That is not a market failure and it is not something a better broker fixes. It prices four differences a listed company does not have: you cannot sell your business on Tuesday afternoon at a quoted price, your revenue sits on far fewer customers, your earnings depend on one person showing up, and your buyer is funding the purchase with a personal guarantee rather than someone else's index fund.
Three rows deserve a caveat rather than a headline. Grocery and convenience lands at a 0% gap, which is a coincidence of two independent datasets both arriving at 0.49x, not a finding. Auto repair shows only 17%, but the public comparable is auto parts manufacturing, a genuinely different business that happens to be the nearest listed match. Dental and medical practices show no discount at all, and the reason is the comparable rather than the practices: the listed healthcare support services sector is dominated by distributors and benefit managers running huge revenue on a 3.87% EBITDA margin, so its 0.46x EV/Sales describes a wholesaler, not a clinic. Where the private and public businesses genuinely resemble each other, in trucking, hotels, education and construction services, the gap lands between 58% and 80% with reassuring consistency.
The practical use of this is defensive. When a buyer or an online tool anchors your value to a public comparable, you now know the size of the correction, and when a listed competitor announces an acquisition at 12x EBITDA, you know why your own offer arrived at 3x SDE. If you want the private revenue multiples on their own, without the public market next to them, they are laid out on revenue multiples by industry.
The size effect
The multiple rises with size, in every dataset
If you take one thing from this page, take this. Industry sets a range; size decides where in the range you land, and it moves the number further than the industry label does. The same business earns a higher multiple at $5M of EBITDA than at $500,000 because the pool of people who can buy it changes completely.
| Deal size | Earnings base | Median multiple | What the buyer looks like |
|---|---|---|---|
| Under $500,000 | SDE | 2.0x SDE | Owner works in the business full time. Buyer is an individual using an SBA 7(a) loan. |
| $500,000 to $1M | SDE | 2.8x SDE | Some management in place. Still an individual buyer, still SBA financed. |
| $1M to $2M | SDE | 3.0x SDE | A manager runs day to day. Buyer pool widens to small funds and search funds. |
| $2M to $10M | Adjusted EBITDA | 4x to 6x EBITDA | Owner compensation is normalized to a market salary. Private equity add-ons compete here. |
| $10M to $25M EV | Adjusted EBITDA | 5.9x EBITDA | Institutional process, quality of earnings report, platform or add-on pricing. |
| $25M to $50M EV | Adjusted EBITDA | 6.6x EBITDA | Full auction, audited or reviewed financials, several bidders. |
| $100M to $250M EV | Adjusted EBITDA | about 10.0x EBITDA | Sponsor to sponsor and strategic buyers. Public comparables start to matter. |
Run the arithmetic on what that means for an owner. A business doing $1M of EBITDA sells around 4.5x, or $4.5M. Grow it to $3M of EBITDA and the same business prices near 5.9x, or $17.7M. Earnings tripled and value went up nearly four times, and the extra turn is the size premium alone. This is the whole logic of a private equity roll-up: buy add-ons at 4x to 6x, assemble a platform, sell the assembled group at 8x to 12x, and the spread is the return before anyone improves an operation. The buyer side of that trade is covered in selling a business to private equity.
There is a ceiling underneath the small end of this table that most sellers never see, and it is set by the lender rather than the buyer. Below roughly $5M, most US deals are financed with an SBA 7(a) loan over ten years, and the loan has to service itself out of the earnings being bought. At 10.5% over ten years with a 10% injection, a 1.25x debt service coverage requirement caps the price near 3.8x to 4.7x SDE depending on size, and reserving 5% of revenue for capital spending pulls it to 3.6x to 4.5x. When a business is priced above that, either the buyer brings more cash or the seller carries a note. The full computation is on business valuation for an SBA loan.
The data
Public company valuation multiples by sector, January 2026
EV/EBITDA and EV/Sales as published by Aswath Damodaran at NYU Stern for 5,994 US listed firms in January 2026. EV/EBITDA is the positive-EBITDA firm series. The last column is ours: EV/EBITDA multiplied by the sector EBITDA margin, which is what the revenue multiple would be if the identity closed exactly. Sorted within each group by EV/EBITDA, highest first.
Technology and software
| Sector | Firms | EV/EBITDA | EV/Sales | EBITDA margin | Implied EV/Sales |
|---|---|---|---|---|---|
| Semiconductor | 66 | 34.75x | 15.70x | 36.77% | 12.78x |
| Electronics (consumer and office) | 8 | 30.70x | 0.91x | -2.65% | n/a |
| Software (internet) | 29 | 30.26x | 9.56x | 9.52% | 2.88x |
| Computers and peripherals | 36 | 25.42x | 6.63x | 25.32% | 6.44x |
| Semiconductor equipment | 31 | 24.74x | 7.61x | 29.06% | 7.19x |
| Software (system and application) | 309 | 24.48x | 11.41x | 35.93% | 8.80x |
| Telecom equipment | 57 | 24.07x | 6.52x | 23.95% | 5.76x |
| Software (entertainment) | 77 | 22.01x | 9.13x | 34.90% | 7.68x |
| Healthcare information and technology | 115 | 21.27x | 5.31x | 20.50% | 4.36x |
| Electronics (general) | 114 | 19.99x | 3.21x | 12.36% | 2.47x |
| Computer services | 64 | 14.10x | 1.48x | 8.98% | 1.27x |
| Information services | 15 | 11.50x | 2.21x | 17.28% | 1.99x |
| Office equipment and services | 14 | 8.59x | 1.43x | 14.33% | 1.23x |
Healthcare and life sciences
| Sector | Firms | EV/EBITDA | EV/Sales | EBITDA margin | Implied EV/Sales |
|---|---|---|---|---|---|
| Healthcare products | 204 | 19.78x | 4.76x | 20.34% | 4.02x |
| Drugs (biotechnology) | 496 | 15.78x | 7.92x | 15.38% | 2.43x |
| Drugs (pharmaceutical) | 228 | 15.25x | 6.24x | 33.59% | 5.12x |
| Healthcare support services | 104 | 11.17x | 0.46x | 3.87% | 0.43x |
| Hospitals and healthcare facilities | 31 | 8.86x | 1.69x | 15.80% | 1.40x |
Industrials and manufacturing
| Sector | Firms | EV/EBITDA | EV/Sales | EBITDA margin | Implied EV/Sales |
|---|---|---|---|---|---|
| Auto and truck | 33 | 47.76x | 3.88x | 7.49% | 3.58x |
| Electrical equipment | 112 | 24.59x | 4.42x | 12.65% | 3.11x |
| Aerospace and defense | 79 | 21.58x | 3.57x | 10.69% | 2.31x |
| Engineering and construction | 48 | 17.18x | 1.74x | 7.96% | 1.37x |
| Construction supplies | 40 | 16.82x | 3.23x | 19.46% | 3.27x |
| Machinery | 105 | 16.22x | 3.43x | 19.62% | 3.18x |
| Building materials | 41 | 11.61x | 2.05x | 17.32% | 2.01x |
| Steel | 19 | 11.59x | 1.17x | 10.58% | 1.23x |
| Diversified | 20 | 11.42x | 3.08x | 31.27% | 3.57x |
| Packaging and container | 19 | 9.71x | 1.55x | 14.36% | 1.39x |
| Paper and forest products | 6 | 8.18x | 1.02x | 14.65% | 1.20x |
| Shipbuilding and marine | 8 | 7.95x | 1.74x | 20.41% | 1.62x |
| Rubber and tires | 3 | 6.74x | 0.59x | 8.73% | 0.59x |
| Auto parts | 35 | 6.43x | 0.82x | 9.04% | 0.58x |
Energy, utilities and materials
| Sector | Firms | EV/EBITDA | EV/Sales | EBITDA margin | Implied EV/Sales |
|---|---|---|---|---|---|
| Farming and agriculture | 35 | 16.04x | 1.34x | 8.04% | 1.29x |
| Environmental and waste services | 53 | 15.61x | 3.70x | 20.99% | 3.28x |
| Utility (water) | 14 | 14.14x | 7.16x | 45.73% | 6.47x |
| Utility (general) | 14 | 13.73x | 5.25x | 34.92% | 4.79x |
| Green and renewable energy | 15 | 13.44x | 7.87x | 58.45% | 7.86x |
| Chemical (specialty) | 59 | 13.36x | 2.65x | 18.01% | 2.41x |
| Power | 46 | 12.38x | 4.70x | 35.33% | 4.37x |
| Oil and gas distribution | 23 | 11.56x | 4.37x | 32.74% | 3.78x |
| Metals and mining | 73 | 11.39x | 4.03x | 29.36% | 3.34x |
| Precious metals | 56 | 10.68x | 5.98x | 34.62% | 3.70x |
| Coal and related energy | 16 | 10.37x | 2.54x | 13.04% | 1.35x |
| Oilfield services and equipment | 97 | 8.63x | 0.74x | 7.76% | 0.67x |
| Chemical (basic) | 29 | 8.57x | 0.85x | 12.34% | 1.06x |
| Chemical (diversified) | 4 | 8.39x | 0.84x | 9.68% | 0.81x |
| Oil and gas (integrated) | 4 | 8.16x | 1.75x | 21.67% | 1.77x |
| Oil and gas (production and exploration) | 142 | 5.15x | 2.68x | 43.21% | 2.23x |
Consumer, retail and hospitality
| Sector | Firms | EV/EBITDA | EV/Sales | EBITDA margin | Implied EV/Sales |
|---|---|---|---|---|---|
| Restaurants and dining | 64 | 17.49x | 4.17x | 19.47% | 3.41x |
| Retail (general) | 23 | 17.38x | 2.11x | 10.11% | 1.76x |
| Beverage (soft) | 27 | 16.90x | 4.16x | 22.78% | 3.85x |
| Footwear | 11 | 16.86x | 2.04x | 11.87% | 2.00x |
| Hotels and gaming | 63 | 14.93x | 4.33x | 24.45% | 3.65x |
| Retail (automotive) | 34 | 14.79x | 1.27x | 7.24% | 1.07x |
| Retail (building supply) | 14 | 14.42x | 2.26x | 14.21% | 2.05x |
| Retail (distributors) | 62 | 13.71x | 1.89x | 11.37% | 1.56x |
| Tobacco | 10 | 13.46x | 6.40x | 42.22% | 5.68x |
| Household products | 110 | 13.17x | 3.06x | 22.34% | 2.94x |
| Retail (special lines) | 94 | 11.47x | 1.63x | 9.85% | 1.13x |
| Furniture and home furnishings | 27 | 11.27x | 1.33x | 9.75% | 1.10x |
| Food wholesalers | 13 | 11.08x | 0.46x | 3.71% | 0.41x |
| Recreation | 49 | 10.39x | 1.94x | 16.64% | 1.73x |
| Apparel | 35 | 10.30x | 1.59x | 11.47% | 1.18x |
| Food processing | 78 | 10.01x | 1.47x | 15.25% | 1.53x |
| Education | 32 | 9.26x | 1.99x | 16.57% | 1.53x |
| Retail (grocery and food) | 15 | 8.94x | 0.49x | 5.40% | 0.48x |
| Homebuilding | 30 | 8.92x | 1.19x | 14.14% | 1.26x |
| Beverage (alcoholic) | 14 | 8.61x | 2.45x | 29.52% | 2.54x |
Media, services and transport
| Sector | Firms | EV/EBITDA | EV/Sales | EBITDA margin | Implied EV/Sales |
|---|---|---|---|---|---|
| Entertainment | 92 | 19.41x | 4.33x | 17.77% | 3.45x |
| Business and consumer services | 155 | 14.26x | 2.53x | 15.65% | 2.23x |
| Railroads | 4 | 13.49x | 6.67x | 49.19% | 6.64x |
| Transportation | 19 | 12.55x | 1.64x | 9.83% | 1.23x |
| Advertising | 52 | 12.00x | 2.12x | 14.06% | 1.69x |
| Publishing and newspapers | 19 | 11.24x | 1.70x | 13.18% | 1.48x |
| Trucking | 26 | 10.41x | 1.74x | 15.58% | 1.62x |
| Telecom (wireless) | 12 | 8.97x | 3.72x | 34.57% | 3.10x |
| Broadcasting | 24 | 7.85x | 1.40x | 18.21% | 1.43x |
| Air transport | 23 | 7.58x | 1.03x | 10.27% | 0.78x |
| Telecom services | 39 | 6.54x | 2.61x | 34.70% | 2.27x |
| Cable TV | 9 | 6.21x | 2.06x | 32.37% | 2.01x |
Financial services and real estate
| Sector | Firms | EV/EBITDA | EV/Sales | EBITDA margin | Implied EV/Sales |
|---|---|---|---|---|---|
| Financial services (non-bank and insurance) | 176 | 57.52x | 18.91x | 21.02% | 12.09x |
| Investments and asset management | 283 | 38.03x | 5.49x | 11.65% | 4.43x |
| Real estate (operations and services) | 54 | 21.95x | 1.46x | 3.96% | 0.87x |
| REITs (all) | 190 | 19.87x | 10.65x | 43.79% | 8.70x |
| Real estate (general and diversified) | 12 | 17.29x | 6.83x | 27.19% | 4.70x |
| Retail REITs | 26 | 16.73x | 12.04x | 67.17% | 11.24x |
| Insurance (general) | 21 | 15.76x | 4.32x | 23.57% | 3.71x |
| Insurance (life) | 20 | 12.52x | 1.28x | 11.50% | 1.44x |
| Real estate (development) | 14 | 10.23x | 3.03x | 24.95% | 2.55x |
| Reinsurance | 1 | 8.67x | 0.65x | 5.96% | 0.52x |
| Insurance (property and casualty) | 57 | 8.44x | 1.49x | 14.73% | 1.24x |
| Bank (money center) | 15 | n/a | 8.31x | 0.00% | n/a |
| Banks (regional) | 568 | n/a | 4.28x | 0.00% | n/a |
| Brokerage and investment banking | 32 | n/a | 5.78x | 0.00% | n/a |
Read this group as reported, not as a benchmark. For a bank, a REIT or an asset manager the balance sheet is the product, so enterprise value and EBITDA are not the right frame at all. Several rows carry n/a because the underlying sector reports no usable EBITDA figure, and none of these multiples should be applied to a private insurance agency or real estate brokerage. For those, use the SDE figures in the private table above.
The last column is worth a minute, because it is the cleanest test of whether you understand what a multiple is. Revenue multiple equals earnings multiple times profit margin, always, as an accounting identity. Semiconductors trade at 34.75x EBITDA and 15.70x revenue, and 34.75 times a 36.77% margin is 12.78, which is close but not equal. Across the operating sectors the median gap between the reported and implied revenue multiple is about 13%, and the reason is averaging rather than error: the EV/EBITDA series averages firm level ratios while the margin series aggregates dollars, and the two do not commute. On the aggregate market series the identity closes almost exactly. Where a row shows a large gap, it is usually telling you that a few very large or very unprofitable companies dominate one series and not the other.
Inside the range
Why two businesses in one industry price a turn apart
The industry median is the middle of a wide distribution, not a price. Six things decide where inside that distribution a specific business lands, and unlike the industry, all six are things an owner can change in the two years before a sale.
Owner dependence
The largest single discount in small business pricing, commonly a full turn to two turns of SDE. If revenue arrives because customers know the owner, the buyer is purchasing a job with goodwill attached. A general manager in place for a year before the sale, with the owner demonstrably out of the day to day, is the fix, and it has to be real by the time diligence starts.
Recurring and contracted revenue
Contracted revenue is worth more than the same dollars earned job by job. In landscaping, ten points more contract share is commonly worth half a turn to a full turn, and retention of 92% against 82% is worth one to one and a half. The mechanism is simple: a buyer discounts revenue by the probability it repeats, and a signed agreement raises that probability.
Customer concentration
One customer above 20% of revenue draws a discount, above 30% it starts to affect whether the deal is financeable at all, and SBA lenders scrutinize it directly. The remedy takes time, because it means growing the rest of the base rather than firing the large account. Two years of deliberate diversification changes both the multiple and the number of bidders.
Quality of the financials
Three years of clean, reviewed statements that tie to tax returns will not raise a multiple by themselves, but the absence of them lowers it and frequently kills the deal in diligence. Every add-back you cannot document is an add-back a buyer removes from SDE, and each removed dollar costs you the multiple times that dollar.
Growth and margin trend
Buyers pay for the trailing twelve months and price the direction. Rising revenue on stable margins supports the top of the range; rising revenue on falling margins reads as buying business, and a flat year after two strong ones will be treated as the new baseline rather than a pause. The three year shape of the numbers matters more than any single year.
Capital intensity behind the earnings
Two businesses with identical EBITDA are not worth the same if one has to spend most of it on equipment. A trucking company keeps only about 17% of its EBITDA after capital spending against a median of roughly 70% across US sectors, which is exactly why trucking prices where it does. The sector detail is on capex by industry.
None of these are secrets to a buyer. They are the standard checklist, they get worked through in the first meeting, and every one of them is priced into the offer before anyone argues about the multiple. The practical sequence for an owner planning an exit is to fix the ones that take time first, since owner dependence and customer concentration both need a couple of years, while clean books and documented add-backs can be handled in a quarter. That sequencing is laid out in how to prepare a business for sale.
The limit
Four ways an industry multiple gives you the wrong answer
Mixing the earnings base
Applying an EBITDA multiple to SDE overstates value by the owner's whole salary times the multiple, and doing the reverse understates it by the same amount. On a $400,000 SDE business with a $110,000 market salary, the error is more than $400,000 at 4x. Check which base a quoted multiple belongs to before you use it, every time.
A public multiple on a private business
The measured median gap is 68% per dollar of revenue, and in restaurants and software it is around 90%. Listed multiples are useful for direction, for seeing which industries the market has repriced this year, and for nothing else. They are not comparables for a business with one location and one owner.
Thin sectors and broad buckets
Reinsurance carries one firm and shipbuilding eight, which is too thin to average. At the other extreme, business and consumer services lumps together companies with almost nothing in common, which is why accounting firms, law firms and staffing agencies all inherit the same public comparable in the bridge table. Check the firm count before quoting a row.
Treating the median as the price
Half of all businesses in every one of these industries sold below the number quoted. A median is a starting point for a range, and the width of that range within one industry is usually wider than the distance between two industries. Use it to check whether an offer is plausible, not to decide whether to accept it.
Used carefully, a multiple answers one question well: given what businesses like mine have sold for, is the number in front of me inside the range or outside it. That is genuinely useful, and it is most of what a first valuation needs to do. What it cannot do is replace the work of normalizing your own earnings, which is where the real number lives and where most of the disagreement in a deal actually happens.
Questions
Valuation multiple questions people actually ask
What is a multiple in business valuation?
A multiple is the number you multiply earnings or revenue by to get a value. If a business earns $400,000 of seller's discretionary earnings and comparable sales in its industry closed at 3.0x SDE, the indicated value is $1,200,000. The multiple is shorthand for everything a buyer believes about risk, growth and how much of the business walks out the door with the owner.
What is the average business valuation multiple?
Across roughly 9,500 US small business sales reported for 2025, the all industry average was about 2.5x seller's discretionary earnings, and quarterly 2026 data put it at 2.7x on a median sale price of $350,000. On revenue the same population averaged 0.64x. Listed US companies outside financial services traded at 16.95x EBITDA and 3.46x revenue in January 2026, which is a different market entirely.
What multiple of earnings is a business worth?
For an owner operated business it is usually 2x to 4x seller's discretionary earnings, and the number rises with size: about 2.0x under a $500,000 price, 2.8x from $500,000 to $1M and 3.0x from $1M to $2M. Once earnings pass roughly $1M and a manager runs the business, pricing moves to adjusted EBITDA and 4x to 6x becomes the normal band.
Which multiple should I use for my business valuation?
Use the earnings base that matches your size. Under about $2M of earnings, where the owner works in the business, use an SDE multiple, because SDE adds the owner's salary and perks back. Above that, where a hired manager runs it, use adjusted EBITDA after a market salary for that role. Use a revenue multiple only as a cross check, or when earnings are negative.
Why are private company multiples so much lower than public ones?
Across the 16 industries where both can be measured, a private US small business sells for a median 68% less per dollar of revenue than the listed companies in the same sector. The gap is size, liquidity and dependence on one person. A listed restaurant chain is priced at 4.17x revenue; a private restaurant closed at 0.42x. Public multiples are a directional signal, never a comparable.
Do business valuation multiples go up with size?
Yes, and it is the single most reliable pattern in the data. The same business is worth a higher multiple at $5M of EBITDA than at $500,000, because the buyer pool changes. IBBA data shows 2.0x SDE under a $500,000 price rising to 3.0x from $1M to $2M, and GF Data shows 5.9x EBITDA at $10M to $25M enterprise value rising to about 10.0x at $100M to $250M.
What multiples do businesses sell for by industry?
Among closed US small business sales, marinas led at 6.60x SDE, followed by rubber and plastic manufacturing at 5.11x, car washes at 4.73x and self storage at 4.60x. At the other end, distribution routes closed at 1.51x, cell phone repair at 1.78x, jewelry stores at 1.86x and law firms at 1.87x. Most service businesses land between 2.3x and 3.5x.
Are broker multiple ranges the same as transaction data?
No, and averaging the two is a mistake. Advisor published ranges, such as 3x to 5x for HVAC or 4x to 6x for dental, describe the engagements those advisors take on, which skews toward larger and better prepared businesses. Transaction medians include every owner operator that sold, including the unprepared ones. Read them as two different populations, not two estimates of one number.
How do I calculate my business value using a multiple?
Normalize your earnings first, then apply the multiple. Take net profit, add back the owner's salary and personal expenses, interest, taxes, depreciation and amortization to reach SDE. Multiply by your industry figure from the table above. Then adjust for the things a buyer will price: customer concentration, recurring revenue, owner dependence and how clean the books are.
What multiple does a small business sell for in 2026?
The 2026 quarterly picture is an average cash flow multiple of 2.7x, a median sale price of $349,250, median cash flow of $155,921 and median revenue of $692,087 across 2,117 closed deals in the second quarter. On revenue the median sale closed near 0.70x. Those are Main Street numbers, meaning businesses priced mostly under $1M.
Apply the right multiple to your own numbers
Enter revenue and earnings. You get a value range from three methods, benchmarked against comparable sales, with the risk factors that moved the number explained in plain English.
Related benchmarks
Last updated August 2026