EBITDA multiples by industry

91 U.S. industries, highest first · January 2026

Median industry13.2×half are above, half below
Highest57.5×Financial Services (Non-bank & Insurance)
Lowest5.1×Oil/Gas (Production and Exploration)
#IndustryEV/EBITDA multipleEBITDA marginCompanies
1Financial Services (Non-bank & Insurance)57.5×21.0%176
2Auto & Truck47.8×7.5%33
3Investments & Asset Management38.0×11.7%283
4Semiconductor34.8×36.8%66
5Electronics (Consumer & Office)30.7×-2.6%8
6Software (Internet)30.3×9.5%29
7Computers/Peripherals25.4×25.3%36
8Semiconductor Equipment24.7×29.1%31
9Electrical Equipment24.6×12.7%112
10Software (System & Application)24.5×35.9%309
11Telecom Equipment24.1×23.9%57
12Software (Entertainment)22.0×34.9%77
13Real Estate (Operations & Services)22.0×4.0%54
14Aerospace/Defense21.6×10.7%79
15Healthcare Information and Technology21.3×20.5%115
16Electronics (General)20.0×12.4%114
17REITs19.9×43.8%190
18Healthcare Products19.8×20.3%204
19Entertainment19.4×17.8%92
20Restaurant/Dining17.5×19.5%64
21Retail (General)17.4×10.1%23
22Real Estate (General/Diversified)17.3×27.2%12
23Engineering/Construction17.2×8.0%48
24Beverage (Soft)16.9×22.8%27
25Shoe16.9×11.9%11
26Construction Supplies16.8×19.5%40
27Retail (REITs)16.7×67.2%26
28Machinery16.2×19.6%105
29Farming/Agriculture16.0×8.0%35
30Drugs (Biotechnology)15.8×15.4%496
31Insurance (General)15.8×23.6%21
32Environmental & Waste Services15.6×21.0%53
33Drugs (Pharmaceutical)15.2×33.6%228
34Hotel/Gaming14.9×24.4%63
35Retail (Automotive)14.8×7.2%34
36Retail (Building Supply)14.4×14.2%14
37Business & Consumer Services14.3×15.7%155
38Utility (Water)14.1×45.7%14
39Computer Services14.1×9.0%64
40Utility (General)13.7×34.9%14
41Retail (Distributors)13.7×11.4%62
42Transportation (Railroads)13.5×49.2%4
43Tobacco13.5×42.2%10
44Green & Renewable Energy13.4×58.5%15
45Chemical (Specialty)13.4×18.0%59
46Household Products13.2×22.3%110
47Transportation12.6×9.8%19
48Insurance (Life)12.5×11.5%20
49Power12.4×35.3%46
50Advertising12.0×14.1%52
51Building Materials11.6×17.3%41
52Steel11.6×10.6%19
53Oil/Gas Distribution11.6×32.7%23
54Information Services11.5×17.3%15
55Retail (Special Lines)11.5×9.8%94
56Diversified11.4×31.3%20
57Metals & Mining11.4×29.4%73
58Furn/Home Furnishings11.3×9.8%27
59Publishing & Newspapers11.2×13.2%19
60Healthcare Support Services11.2×3.9%104
61Food Wholesalers11.1×3.7%13
62Precious Metals10.7×34.6%56
63Trucking10.4×15.6%26
64Recreation10.4×16.6%49
65Coal & Related Energy10.4×13.0%16
66Apparel10.3×11.5%35
67Real Estate (Development)10.2×24.9%14
68Food Processing10.0×15.3%78
69Packaging & Container9.7×14.4%19
70Education9.3×16.6%32
71Telecom (Wireless)9.0×34.6%12
72Retail (Grocery and Food)8.9×5.4%15
73Homebuilding8.9×14.1%30
74Hospitals/Healthcare Facilities8.9×15.8%31
75Reinsurance8.7×6.0%1
76Oilfield Services/Equipment8.6×7.8%97
77Beverage (Alcoholic)8.6×29.5%14
78Office Equipment & Services8.6×14.3%14
79Chemical (Basic)8.6×12.3%29
80Insurance (Prop/Cas.)8.4×14.7%57
81Chemical (Diversified)8.4×9.7%4
82Paper/Forest Products8.2×14.6%6
83Oil/Gas (Integrated)8.2×21.7%4
84Shipbuilding & Marine8.0×20.4%8
85Broadcasting7.8×18.2%24
86Air Transport7.6×10.3%23
87Rubber & Tires6.7×8.7%3
88Telecom Services6.5×34.7%39
89Auto Parts6.4×9.0%35
90Cable TV6.2×32.4%9
91Oil/Gas (Production and Exploration)5.1×43.2%142

Source: Aswath Damodaran, NYU Stern, January 2026. Aggregates over U.S. public companies.

Frequently asked questions

What is a good EV/EBITDA multiple?

Across these 91 industries the median is 13.2×, from Oil/Gas (Production and Exploration) (5.1×) to Financial Services (Non-bank & Insurance) (57.5×). These are public companies. Small private businesses sell for far less: on average about 2.7× seller’s discretionary earnings (BizBuySell, Q2 2026).

How is the EV/EBITDA multiple worked out?

Enterprise value (equity plus debt, less cash) divided by EBITDA: what buyers of public companies pay for each dollar of yearly earnings before interest, tax, depreciation and amortization. Each figure is an aggregate: the total across every company in the industry, so larger companies weigh more than in a simple average.

Where does the data come from?

Aswath Damodaran’s datasets at NYU Stern, January 2026, covering thousands of U.S. public companies in 94 industries. It is refreshed each January.

Why are 3 industries missing?

Banks and similar lenders have no meaningful EBITDA: interest is their business, not a cost of financing it, so earnings before interest do not describe them.