Underwriting Someone Else's Expansion Story

Every hospitality or F&B platform arrives at an investment committee with a growth story attached: a pipeline of target markets, a unit-economics model, and a management team who genuinely believe both. The diligence question is rarely whether the operator is competent. It's whether the markets in that pipeline will still be there in year five — and whether the pipeline was assembled by analysis or by relationships.

That question is hard to answer on a deal timetable, for a structural reason.

The mismatch between diligence and the calendar

A commissioned feasibility study takes six to twelve weeks and costs up to ~£250k for one city. A sponsor's pipeline routinely contains fifteen. Exclusivity does not last long enough to study fifteen markets, and the budget wouldn't survive it if it did.

So the practical compromise is familiar: commission one or two studies on the largest markets, take the rest on the sponsor's own materials, and write an IC memo that is quietly far more confident about markets one and two than about markets three through fifteen. The risk doesn't disappear — it just stops being visible in the paperwork.

What a comparable read changes

The alternative is to score every market in the pipeline against one framework, in days rather than months, so the IC memo can say something defensible about all fifteen.

Three properties make that useful for underwriting specifically:

It's comparable by construction. Fifteen markets scored on identical criteria can be ranked. Fifteen markets covered by a mix of one commissioned study, three broker letters and eleven management assertions cannot be — they can only be read in sequence, which is how the most confidently-written section wins.

It's calibrated to the sponsor's actual format. This matters more than it sounds. Running the same 208 cities through a 5-star hotel lens versus a boutique lens produces 82 No Go against 40, and 5 Strong Go against 13. If you underwrite a boutique platform against full-service assumptions, you will misprice roughly a third of its pipeline. The format has to be an input, not an afterthought.

It's independent. The analysis isn't produced by anyone earning a fee on the transaction, and it isn't produced by the sponsor. For a committee, provenance is part of the evidence.

Reading a verdict distribution as a diligence signal

Here is the most useful thing to do with a sponsor's pipeline: score all of it, then look at the shape.

Across our 155 venue markets, the base rates are 58 Conditional Go, 55 No Go, 27 Hold, 15 Strong Go — a mean demand score of 59.9. That's the population. Against that baseline, a pipeline where twelve of fifteen markets score Conditional Go or better is genuinely differentiated market selection. A pipeline where the distribution looks like the index average is not a strategy — it's a list of large cities.

Neither result kills a deal on its own. But knowing which one you're holding is a materially better position than inferring it from a management deck.

The specific questions it answers well

• Is the demand durable, or cyclical? Demand trajectory and sector mix are scored separately from the headline number, so a market propped up by one exposed sector is visible as such.
• Is the unit-economics model plausible in each market? Breakeven occupancy, target occupancy, capex range and payback come out per city — which lets you test the sponsor's model against a market-specific benchmark rather than a portfolio average.
• Where is the concentration risk? Scoring the pipeline as a set surfaces markets whose fortunes move together.

Where it doesn't substitute for diligence

Plainly: this is a market-level instrument. It doesn't audit the operator's accounts, verify their construction costs, assess management quality, or replace site-level property diligence on assets already in the portfolio. It answers "are these good markets for this format," which is one input to an underwriting decision, not the decision.

It's also honest about its own confidence — of 155 venue analyses, 58 are badged Grounded and 96 Mixed, meaning partially estimated inputs. An IC deserves to know which claims are which, and a tool that presented all of them at uniform confidence would be less useful, not more.

The takeaway

The awkward question for any hospitality or F&B underwriting process is simple: of the markets in this pipeline, how many have you actually formed an independent view on, and how many are you taking on the sponsor's word because the calendar didn't allow anything else?

If the honest answer is "two of fifteen," the gap isn't diligence rigour. It's the cost of forming a view at all.

Book a demo and we'll score a live pipeline on the call.