Four assumptions worth checking before you put a price on a chain.
All four are usually taken for granted in the information memorandum and pass unchallenged into the investment memo. All four can be tested from the outside, before the letter of intent or during due diligence, without asking the company for anything. A five-minute read. The figures come from our analyses of 54 chains across 132 cities in eight countries, and the sample and period behind each figure are stated below its chart.
How to read the figures. Points refer to the public 1-to-5 rating anyone can see for each unit. A “lagging” unit sits half a point or more below the median of its own brand in its city. A “leading” unit sits half a point or more above it. A unit “with enough evidence” is one where enough customers have spoken up for it to be read on its own.
Usually taken for granted“The chain’s number describes its units.”
In three out of ten same-brand, same-city groups, the best and the worst unit are a point or more apart.
Groups with a point or more between best and worst unit: 29%
Gap between the best and worst unit, in points of the public rating · 682 groups
Chain A · over 250 units
Chain B · over 500 units
We measured 682 same-brand, same-city groups, drawn from 54 chains in 132 cities. The median gap between the best and the worst unit is 0.6 points, and in 29% of them it reaches a point or more. It isn’t noise: given the number of customers who have spoken up about each unit, chance alone would produce a gap of a point or more in fewer than one group in a thousand. And that gap shows up even in groups of only five or six units: one in five reaches a point or more.
682 groups of five units or more, in 132 cities across Austria, Brazil, Colombia, Germany, Mexico, Poland, Spain, and the United States · open units with enough evidence · data collected July to October 2026.
- The decision at stake
- Price. A single multiple for the whole chain assumes similar units — and in three out of ten cases they aren’t.
What to request, what to ask, and what to do if you’re selling or lending
- Request in the data room
- Unit-level sales for the last twelve months and the list of openings, closures, and remodels, to see whether the units furthest behind are also the ones selling least.
- Ask management
- Which do you consider your best and worst units, and why? Compare the answer with what their customers experience.
- If you’re selling
- Know which units the buyer will single out before the buyer does, and arrive with the explanation or the plan.
- If you’re lending
- Know whether the cash flow backing the loan depends on a few strong units.
Usually taken for granted“An across-the-board discount covers the chain’s risk.”
The risk isn’t spread evenly: it concentrates in a short list of units.
Observed: 1 in 15 units. What chance alone would produce with the same number of customers speaking up: 1 in 1,500.
One in fifteen units with enough evidence sits half a point or more below the median of its own brand in its city: about a hundred times what chance alone would produce.
Nearly 7,000 chain units in the same 682 groups as assumption 01 · data collected July to October 2026.
- The decision at stake
- The scope of the deal. If the risk sits in a short list, it can be named, made conditional, or carved out, rather than discounted across the whole chain.
What to request, what to ask, and what to do if you’re selling or lending
- Request in the data room
- The list of units with their lease, remaining term, and sales, to see what it would cost to exit the ones falling behind.
- Ask management
- Which units are under review, and what is the plan for each?
- If you’re selling
- Identify your short list before the buyer does and arrive with the plan, so it doesn’t turn into a discount on the whole chain.
- If you’re lending
- Know whether the lagging units weigh on the cash flow backing the loan, or can be closed without touching it.
Usually taken for granted“A lagging unit keeps drawing as many customers.”
The median lagging unit draws 35% fewer customers who speak up. Leading units show no such drop.
PeersLagging (104)Leading (27)
Customers speaking up over twelve months, same-brand, same-city peers = 100
We compared how many customers spoke up about each unit in the last twelve months — the closest public signal of how much traffic it draws — with its same-brand, same-city peers. The median lagging unit draws 35% fewer customers who speak up than its peers, and seven in ten lagging units fall below them. If that were a small-sample artifact — units with few customers landing far below the median by chance — units would land far above it just as often. That isn’t what we see. Among the 27 leading units we could read, there is no such drop: they draw as many customers as their peers, or slightly more. (There are fewer leading units because, with a ceiling of 5 points, few units can sit half a point above their brand’s median.) This isn’t a sales figure. If you have unit-level sales, the blind test in the first analysis lets you check it against them.
A narrower sample than in assumptions 01 and 02: 104 lagging and 27 leading units, in 105 groups (same brand, same city) across six of the eight countries · only units with customers speaking up over at least twelve months · data collected July to October 2026.
- The decision at stake
- The model’s assumptions: if lagging units also attract fewer customers, a model that has them recovering on their own needs a reason.
What to request, what to ask, and what to do if you’re selling or lending
- Request in the data room
- Transaction counts per unit, not just sales, to separate fewer customers from lower spend per customer.
- Ask management
- Are the units with the worst customer experience also the ones with the least traffic? Since when?
- If you’re selling
- If your lagging units are holding their traffic, prove it with your figures before the buyer assumes otherwise.
- If you’re lending
- A lagging unit that also attracts fewer customers is a signal worth watching between one borrower report and the next.
Usually taken for granted“No complaints in sight, no problem.”
“No data” is not “no problem.”
Up to 3 in 4units of a chain can’t be read one by one from the outside, depending on the sector
Units that can be read one by one, by sector
How many units have enough evidence to be read one by one depends above all on the sector: in our analyses, from one in four for coffee shops in a large city to nine in ten for movie theaters. The rest aren’t read on their own: they are counted and reported separately, so that no one mistakes “no data” for “no problem.”
Two chains read in their entirety: a coffee chain in a large city and a movie-theater chain · September 2026.
- The decision at stake
- How much of the chain your committee can speak to with evidence, and how much remains to be verified in due diligence.
What to request, what to ask, and what to do if you’re selling or lending
- Request in the data room
- The sales of the units that can’t be read from the outside: there, your committee has only what the company says.
- Ask management
- Which units don’t show up in your own customer-satisfaction reports, and why?
- If you’re selling
- Prepare the figures for those units before the buyer asks for them.
- If you’re lending
- Know which part of the chain can be read from the outside, and which depends solely on the borrower’s report.
The four assumptions, in one table.
| Assumption | What to check | What to request in the data room |
|---|---|---|
| The chain’s number describes its units | The gap between the best and worst unit in each city | Unit-level sales, twelve months |
| An across-the-board discount covers the risk | The short list of lagging units | Leases, terms, and sales for that list |
| A lagging unit keeps drawing as many customers | Whether lagging units get fewer customers | Transaction counts per unit |
| No complaints in sight, no problem | Which part of the chain can be read from the outside | Sales of the units that can’t be read |
Updated October 25, 2026 · Source: Acumaris analyses, 54 chains across 132 cities in eight countries. The sample and period behind each figure are stated below its chart.
Your team can ask the questions. What it usually doesn’t have is the evidence: unit by unit, against the local competition.
Request these figures in the data room and put these questions to management. That tells you what the company says.
What the customers of each unit experience against its nearby competitors, measured by the same yardstick on both sides, before you sit down to negotiate. That tells you whether the company’s answer holds up.
Check these four assumptions on the chain you’re evaluating.
The first analysis comes at no charge and commits you to nothing: two cities, one unit in each, within five business days of confirmation. A real person replies within two business days.
Request the first analysis · no charge Or ask first for an anonymized example from your sector → Or email us directly: contact@acumaris.com