ExitComps Sold comps for micro-acquisitions

Valuation guide · explainer

What is a business with no sold comps worth?

This site exists to answer valuation questions with sold prices, and on a fair number of deals it cannot: nothing comparable has sold in public, or nothing comparable published a number. That is a real answer rather than a failure, and it is the one most valuation tools refuse to give — they produce a figure regardless, because a figure is what the interface promised. Here is what to do instead, starting with the part everyone skips: working out which kind of “no comps” you actually have, because the three kinds have different remedies.

01

Check which kind of nothing you have

Live from /api/stats — rows we hold, comps inside the report window, and what that leaves a valuation to work with.

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Comp coverage by asset type, as our record stands right now
Asset typeRows we holdComps with a profit figureComps with a revenue figureWhat that leaves you
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The two comp columns count only sales inside the window a report is built from — the most recent block of deals for that type — that published enough for a multiple to exist on that basis. The gap between those columns and the rows column is the whole subject of this page. Where a basis holds fewer comps than our floor we publish nothing on it, for the reasons how many sold comps a valuation needs sets out.

02

The three shapes of “no comps”, and why the difference matters

“There are no comps for my business” describes three unrelated situations. Treating them the same is how people end up borrowing a number from a market that has nothing to do with theirs.

a. The category is too thin to say anything

A handful of sales exist, but not enough for a median to mean anything: one unusual deal would move it, and you would have no way to tell that it had. This is the situation our floor is built for, and it is why some rows in the table above report a count and still support no figure. The remedy is to widen deliberately and say you did — a broader asset class with real comps, read as a rough band rather than a valuation, beats a narrow one with two sales in it.

b. There are plenty of sales, but no earnings to divide by

This is the largest single case in our record rather than an edge case, and it is not thinness at all: sold prices exist in quantity, and almost none of them arrive with a profit or revenue figure attached. A multiple is simply not computable over them. The remedy here is not to find better comps — the comps are fine — but to stop asking for a multiple and read the price distribution directly, which is how the domain market has always been priced. What is a domain name worth is that case in full, and what a profit multiple actually means covers when the tool applies at all.

c. The comps exist but none of them are your deal

The category clears the floor, the multiples are published, and every sale behind them is four times your size, or five years old, or monetised a different way. A comp set you do not fit is worse than an empty one, because it looks like evidence. What makes a sold comp comparable is the four-way test, how recent a comp needs to be is the date half, and why near-identical businesses sell for different prices is what remains unexplained even after a good match.

03

What can stand in for a comp set, in the order it is worth having

Nothing on this list is as good as a matched set of recent sales. They are ordered by how much weight each can carry, and each entry says how it fails, because a substitute you cannot criticise is one you have stopped examining.

  1. Sold prices without multiples. If sales of the asset class are published but earnings are not, the distribution of prices is still evidence — the middle half of it tells you what the market pays for that kind of thing, independent of any earnings claim. How it fails: only sales worth writing up get written up, so a published price distribution skews high and says nothing about the ordinary end of the market.
  2. An adjacent category, quoted as an adjustment. A comp set one step out — same monetisation, different niche; same size band, different asset type — can anchor a band if you state the step and the direction you are adjusting for. How it fails: the adjustment is a judgement with no evidence behind it, so it can absorb any conclusion you want. Write the size of it down before you compute anything, not after you see the answer.
  3. The cost to rebuild it. What it would take in money and months to get to the same traffic, code, inventory or list is a genuine floor-ish reference for a buyer who has the option of building instead. How it fails: it is a cost, not a value. Plenty of assets cost more to build than anyone will ever pay for them, which is exactly the situation an unprofitable business is usually in.
  4. The payback period you would personally underwrite. Price divided by the monthly earnings you actually believe is a number you can feel, and at this size it is a better instrument than a multiple because it forces you to name the risk horizon. How it fails: it prices your tolerance, not the market's — a seller is under no obligation to accept your discount rate. Payback period is the arithmetic.
  5. Asking prices — last, and only as a ceiling. If asks are all that exists, they still bound the problem from above: an asset rarely sells for more than similar assets are openly listed at. How it fails: an ask is a number one party chose, including on the listings that will never sell. Asking price vs sold price is why they keep arriving dressed as evidence, and averaging them produces the most confident wrong number available.
04

Write the band down, with its evidence attached

With no comp set the goal changes. You are not producing an estimate that can be defended as accurate; you are producing a range whose reasoning someone else can inspect and argue with. That is a lower bar and a far more useful artefact. Four lines, in writing, before you say a number out loud:

A band presented this way survives a negotiation that a bare figure does not. “This is priced against six sales, here they are, and here is why I adjusted down” is a position the other side has to engage with on the evidence. How to make an offer is the mechanics of doing that without anchoring yourself.

05

Price the uncertainty into the structure, not into the number

When the evidence is thin, the instinct is to handle it by cutting the price. That is the crude tool, and it fails in both directions: too big a cut kills a fair deal, too small a cut leaves you carrying a risk you never agreed to. The better instrument is the shape of the transaction, because it can be made to pay out on the facts you could not verify.

06

What we publish when we have nothing, and why

The commercially convenient thing for a valuation site to do with a thin category is to publish a number anyway, quietly, with the sample size omitted. We would rather have the gap: a median computed over three sales is not a cautious estimate, it is a figure that will move violently on the next deal and take somebody's negotiating position with it. So the rule is mechanical — under the floor, we publish nothing on that basis, and the table at the top of this page shows you which categories that is today rather than describing it in the abstract.

Two consequences worth stating plainly. An empty comp set here is weak evidence about your asset's value — most sales never reach the public record at all, which where sold-price data comes from goes through source by source. And a category can leave the empty state: the counts above are read live, so a basis that supports nothing today may support a band once enough sales have published one. If your deal is in a thin category, the table is worth re-reading rather than remembering.

Related: how many sold comps you need · what makes a comp comparable · pricing without a denominator · asking price vs sold price · an unprofitable business · all valuation guides