Plain Reckoner

Dataset

Months of profit paid for an online business, by kind of business, from 2,661 completed sales

What each kind of online business actually sold for, written as the number of months of profit the buyer paid — the trade calls that a multiple. Measured across 2,661 completed sales worth $704m. Covers businesses selling stock through Amazon, display advertising, affiliate, digital products, dropshipping, online shops, services, software sold by subscription (SaaS) and other subscription businesses. Brokers publish one blended range and blogs quote the brokers; the difference between kinds of business is real and a blended figure hides it — software sells at 36.5 months of profit and dropshipping at 28, a difference of a third on the same earnings. These are months, not years, which is what this broker and Flippa both use and what Acquire.com does not — so a "5x to 15x" from a source quoting years is not a competing opinion about the same thing.

Coverage
2014-01-01 to 2026-12-31
Last measured
Licence
CC BY 4.0
DOI
10.5281/zenodo.22280368
What a row is
One completed sale: what it sold for, what it earned, and the multiple that implies.
Subjects
website sales, acquisition multiples, SDE, online business valuation, ecommerce, SaaS, affiliate, dropshipping

Download the summary 2,661 rows · 8 columns · CSV · no account, no email

Read the finding this came out of What buyers pay for a website fell a third since 2021, and ad-funded sites were not singled out

How to cite this

Use it commercially, change it, build on it. The only condition is credit, and a link satisfies it.

In a chart, where space is short Plain Reckoner (2026)
In full Plain Reckoner (2026). "Months of profit paid for an online business, by kind of business, from 2,661 completed sales" [dataset]. https://doi.org/10.5281/zenodo.22280368
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What you should know about this data

How it was measured

Completed sales from a broker’s public record, keeping only listings priced against the profit left for the owner before paying themselves — the trade calls that SDE, seller’s discretionary earnings. Listings use either that or EBITDA, a stricter measure of profit, and mixing the two moves the answer by the mix rather than by the market. A business usually carries several labels for how it earns, so each is filed under ONE kind by a stated order of preference, most specific first: Amazon, then dropshipping, online shops, SaaS, subscription, digital products, services, display, affiliate. That order changes the answer, which is why it is published.

The summary

The first 60 of 2,661 rows. The download has all of them. Free to use with credit, commercially included.

model niche listed_year sale_price_usd USD monthly_net_profit_usd USD monthly_revenue_usd USD multiple months of profit profit_window_months
Affiliate Advertising 2014 2,053 103 103 20 3
Dropshipping Apparel & Accessories 2014 2,056 135 167 15 6
Display advertising Equipment 2014 2,100 105 131 20 3
Display advertising Health & Fitness 2014 2,602 130 130 20 3
Affiliate Retail & Wholesale 2014 3,000 146 146 21 3
Display advertising Personal Care 2014 4,221 177 211 24 3
Display advertising Occasions & Gifts 2014 4,282 101 101 42 3
Display advertising Home 2014 4,372 219 235 20 3
Display advertising Equipment 2014 4,778 239 259 20 3
Display advertising Equipment 2014 5,484 274 274 20 3
Display advertising Apparel & Accessories 2014 5,859 293 293 20 3
Digital products Technology 2014 5,906 295 325 20 3
Display advertising Health & Fitness 2014 6,126 321 321 19 3
Display advertising Advertising 2014 6,936 347 347 20 3
Dropshipping Occasions & Gifts 2014 8,000 460 809 17 10
Affiliate Beauty 2014 8,366 418 418 20 3
Display advertising Advertising 2014 8,856 493 523 18 4
Display advertising Technology 2014 9,627 481 491 20 3
Amazon FBA Equipment 2014 10,000 607 607 16 3
Affiliate Health & Fitness 2014 10,774 539 559 20 3
Display advertising Technology 2014 16,000 1,055 1,075 15 3
Other Health & Fitness 2014 18,252 913 913 20
Display advertising Beauty 2014 20,000 1,250 1,270 16 3
Display advertising Technology 2014 20,355 1,018 1,058 20 3
Display advertising Beauty 2014 23,643 1,182 1,332 20 3
Dropshipping Occasions & Gifts 2014 25,121 1,255 4,458 20 6
Display advertising Health & Fitness 2014 25,598 1,282 1,302 20 3
Services Business 2014 25,978 3,180 3,180 8 3
Ecommerce Health & Fitness 2014 27,476 4,320 5,119 6 3
Affiliate Entertainment 2014 29,321 1,197 1,251 24 12
Affiliate Bed & Bath 2014 30,388 1,519 1,539 20 3
Other Beauty 2014 31,425 979 986 32
Display advertising Outdoors 2014 33,403 1,690 1,690 20 3
Display advertising Employment 2014 68,500 3,643 3,868 19 3
Display advertising Advertising 2014 70,000 4,817 7,234 15 8
Display advertising Entertainment 2014 71,905 2,962 3,027 24 12
Display advertising Entertainment 2014 80,915 2,452 2,502 33 12
Display advertising News & Education 2015 577 44 44 13 12
Dropshipping Apparel & Accessories 2015 1,464 75 164 20 3
Display advertising Health & Fitness 2015 1,647 82 82 20 3
Display advertising Medical 2015 1,828 91 91 20 3
Affiliate Technology 2015 1,830 92 92 20 3
Display advertising Technology 2015 1,900 95 95 20 3
Display advertising Sports 2015 1,924 92 92 21 3
Display advertising News & Education 2015 1,997 87 87 23 3
Amazon FBA Culinary 2015 2,154 108 108 20 3
Display advertising Advertising 2015 2,184 109 109 20 3
Display advertising News & Education 2015 2,313 116 116 20 3
Display advertising Beauty 2015 2,332 112 117 21 3
Services Equipment 2015 2,500 1,747 1,955 1 3
Display advertising Automotive 2015 2,814 141 141 20 3
Display advertising Advertising 2015 2,997 153 153 20 3
Display advertising Health & Fitness 2015 3,164 158 158 20 3
Display advertising Travel 2015 3,317 268 283 12 8
Display advertising Beauty 2015 3,442 172 172 20 3
Affiliate Home 2015 3,504 175 175 20 3
Display advertising Health & Fitness 2015 3,651 183 183 20 3
Display advertising Apparel & Accessories 2015 3,953 198 198 20 3
Display advertising Legal 2015 4,206 140 140 30 6
Display advertising Technology 2015 4,249 212 212 20 2

What each column means

model
The kind of business, filed by the order of preference stated below
niche
The subject the broker filed it under
listed_year
The year the business was listed for sale
sale_price_usd
What it sold for — USD
monthly_net_profit_usd
Average monthly net profit, verified before sale — USD
monthly_revenue_usd
Average monthly gross revenue, verified before sale — USD
multiple
Sale price divided by average monthly net profit — how many months of profit the buyer paid — months of profit
profit_window_months
How many months the profit average covers

Want the record underneath this?

The download above is the complete dataset — all 2,661 rows, no account, no email, free to reuse with attribution. Nothing is held back from it.

What is not on the page is the working: which listings were excluded and why, how each business was assigned to a model, and the source records behind individual rows. If you are checking our method, writing about this, or need something cut a different way, ask — we will send what we can and say plainly where we cannot.

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