The FDD issues that recur specifically in retail and consumer deals - same-store sales, inventory shrinkage and markdown, and lease obligations across a whole store estate.
A retailer walks into a sale process reporting 15% revenue growth and a management team that talks about "momentum." Two weeks into the diligence you split the estate into stores open in both periods versus new openings, and the picture inverts: like-for-like sales are down 3%, and every point of headline growth came from opening stores faster than the existing ones declined. The business is not accelerating. It is running to stand still, and paying rent for the privilege. This is the retail-specific trap the generic FDD framework will not catch on its own - and spotting it is the whole job.
Retail and consumer deals carry a distinctive set of FDD priorities: heavily physical inventory, a real-estate footprint of leased stores, and a revenue base that can be genuinely volatile store by store even when the group total looks reassuringly smooth. The core financial due diligence process applies unchanged - you are still building maintainable earnings, a net debt bridge and a working-capital view - but where the scrutiny concentrates shifts noticeably, and the resolution at which you have to work gets much finer.
Aggregate revenue growth in a multi-store retailer hides more than it reveals. Opening new stores mechanically adds revenue even if every existing location is quietly declining, so the headline top line can rise while the underlying business rots. The metric that actually tells you whether the estate is healthy is same-store sales - also called like-for-like or comparable-store sales - the revenue growth of stores open in both comparison periods. It is the retail analogue of why subscription businesses look past headline bookings to net revenue retention: it strips out the flattering effect of expansion to expose the organic trend underneath.
Consider the arithmetic that management's 15% number conceals:
| Cohort | Prior-year revenue | Current-year revenue | Growth |
|---|---|---|---|
| Stores open both years (like-for-like) | £100.0m | £97.0m | −3.0% |
| New stores opened this year | £0.0m | £18.0m | n/a |
| Total reported | £100.0m | £115.0m | +15.0% |
The +15% is real cash, but it is bought growth: each new store came with capital expenditure, a lease, fit-out cost and a ramp period, and the moment the opening programme slows, the −3% underlying decline becomes the whole story. A rigorous retail revenue-quality analysis separates these two engines on day one and asks the buyer to price the like-for-like trend, not the blended one - because that is the trend they inherit once the expansion capital runs out.
A retailer growing 15% on the group line but shrinking 3% like-for-like is a materially weaker business than the headline suggests. The gap between those two numbers is the single most important disclosure in a retail FDD.
Retail inventory carries risks well beyond the standard obsolescence and slow-moving-stock work you would do in any sector. Two are specific enough to deserve their own lines in the report.
Shrinkage is inventory lost to theft, damage or administrative error, conventionally tracked as a percentage of sales. It is a real, recurring EBITDA cost, and a business whose shrinkage rate is quietly climbing is leaking margin in a way a single balance-sheet snapshot will not show. If shrinkage is not tracked as a distinct, visible metric, that absence is itself a finding.
Markdown risk is the exposure of seasonal or fashion inventory that loses value fast if it does not sell within its selling window. Stock that has to be cleared at 50% off is not worth its balance-sheet cost, and if it has not been adequately provided for, the carrying value overstates both assets and earnings.
A worked illustration makes the EBITDA impact concrete. Suppose reported inventory is £12.0m against annual sales of £80.0m:
| Issue | What management booked | What diligence supports | EBITDA / value impact |
|---|---|---|---|
| Shrinkage provision | 0.8% of sales | 1.4% of sales (three-year trend) | £0.48m annual overstatement |
| Aged fashion stock | Held at cost, £2.0m | Realisable at ~60% of cost | £0.8m provision shortfall |
Between an under-provided shrinkage run-rate and £2.0m of aged stock carried at cost, you are looking at roughly half a million of overstated recurring EBITDA and a further £0.8m of balance-sheet air. Neither shows up if you accept the inventory line at face value; both change the price. This is the kind of quantified red flag that earns its place at the front of a report.
A multi-store retailer's lease obligations are, collectively, one of its largest financial commitments. Post-IFRS 16 they sit on the balance sheet as lease liabilities, and how you treat them in the bridge is a live debate covered in IFRS 16 and net debt - but the retail-specific work goes well beyond the accounting mechanics. The questions that actually move a retail deal are operational:
A lease-by-lease review - expiry, rent, contribution, guarantee status - is slower than pulling a single liability figure, but it is the only way to see the shape of the commitment the buyer is actually taking on.
The lease estate also interacts with maintainable earnings in a way that is easy to miss. A store that is trading below its rent - where four-wall contribution does not cover occupancy cost - is dragging group EBITDA every month it stays open, and if the business cannot exit the lease, that drag is baked in for the remaining term. Part of a rigorous retail review is identifying these loss-making sites and asking the honest question the management deck rarely poses: what does maintainable EBITDA look like once you strip out, or provide for, the stores the business would close tomorrow if it legally could? Add to that the store-level maintenance capex reality - retail estates need periodic refits to keep trading, and a business that has been starving its stores of refurbishment capital to flatter cash flow is quietly building a wall of deferred spend the buyer inherits. A store that looks cheap to run today because nobody has refitted it since 2018 is not cheap; it is borrowing from the future, and the FDD should say so.
Retail businesses often run pronounced seasonal working-capital swings: inventory builds ahead of a peak selling season, then unwinds through cash collection afterwards. Getting the working capital target right in a retail deal means understanding exactly where in the seasonal cycle the completion date falls, because a target set on an average annual balance can be badly wrong if completion happens to land on a seasonal peak or trough.
A stylised year shows why the average is dangerous:
| Point in cycle | Inventory | Trade payables | Net working capital |
|---|---|---|---|
| Pre-peak build (Q4 stock-in) | £18.0m | £9.0m | £11.0m |
| Post-peak trough (Q1) | £8.0m | £3.0m | £6.0m |
| Simple annual average | £13.0m | £6.0m | £8.5m |
If completion lands at the Q4 peak and the target is set at the £8.5m average, the seller is handing over a business with £11.0m of working capital but only being credited for £8.5m - a £2.5m swing that lands squarely in the buyer's favour, or the reverse if the direction flips. The generic mechanics of building a target sit in the wider NWC analysis, but retail is where seasonality makes the choice of reference point a pricing decision in its own right, not a technicality.
Pure retail spreads risk across thousands of end customers, but the consumer half of "retail and consumer" often does not. A consumer-goods brand selling through a handful of grocery multiples or a single dominant e-commerce marketplace can be exposed to customer concentration every bit as acute as a B2B supplier - one buyer relationship, one range review, one delisting, and a third of revenue is at risk. When you diligence a consumer brand, map the route to market: how much runs through the top retail accounts, how long those listings have run, and what a range review at the wrong moment would do to the forecast. The physical-store risks and the channel-concentration risks are different animals, and a consumer deal frequently contains both.
Promotional and rebate arrangements deserve a hard look alongside concentration, because in consumer goods the gap between gross and net revenue can be enormous and is where earnings quality quietly erodes. Listing fees, volume rebates, marketing contributions and retrospective discounts to the big retail accounts all reduce the revenue the brand actually keeps, and a brand that is "buying" shelf space through ever-larger promotional allowances is showing volume growth that costs more margin every year. If those allowances are inconsistently accrued - recognised late, or netted in a way that flatters a particular period - reported growth can look healthier than the underlying economics. Testing the bridge from gross to net revenue, and the accrual of trade spend, is core revenue-quality work in any consumer deal, and it is exactly the sort of thing a buyer will expect the diligence to have pressure-tested rather than accepted at management's summary level.
Retail rewards granular, store-level and category-level thinking over aggregate analysis at every turn: same-store sales over headline growth, shrinkage- and markdown-adjusted inventory over book value, lease-by-lease review over a single lump-sum liability, and a seasonally aware working-capital target over an annual average. The underlying FDD craft transfers directly from any other sector - you are still after maintainable earnings, real net debt and a fair working-capital normalisation. What changes is the resolution at which you have to apply it, and the specific places where a group-level number lies to you.
Retail is a favourite for scenario questions precisely because a candidate either knows the sector's tells or does not.
Interviewer: "A retailer reports 15% revenue growth. What's the first thing you want to see?"
"I'd immediately want to break that 15% into like-for-like versus new-store growth, because headline growth in a multi-store retailer can be almost entirely mechanical - you add revenue just by opening stores, regardless of whether the existing estate is healthy. So my first request is same-store sales: the growth of stores open in both periods. If like-for-like is also positive, the business is genuinely growing and I'd move on to whether that's driven by volume or by price and promotion. But if like-for-like is flat or negative while the group grows 15%, the whole story is expansion masking an underlying decline, and I'd want to understand the ramp and payback on new stores, the capital going into openings, and what happens to growth when the opening programme slows. I'd also sanity-check management's definition of 'comparable' - how long a store has to be open to count, and how relocations are treated - because a loose definition can flatter the number. Alongside that I'd look at inventory quality, shrinkage trends and the lease expiry profile, since those are where retail businesses tend to hide EBITDA and balance-sheet risk. But the like-for-like split is the first thing, because it's the difference between a growth story and a treadmill."
That answer lands because it goes straight to the sector-specific metric, explains why the headline misleads, and then widens out to the other retail-specific risk areas without losing the thread.
Every retailer looks fine from the group P&L. The business only tells you the truth one store, one category and one season at a time. Do the granular work - split the growth, test the stock, walk the leases, time the working capital - and you will price the retailer the buyer is actually buying rather than the one the deck is selling. In a sector where the headline and the reality routinely point in opposite directions, that resolution is not a nice-to-have. It is the entire value of the diligence.
The Transaction Services Interview Programme (€119.99, one-time) includes a dedicated retail and consumer sector module - same-store sales, shrinkage and markdown, lease estates and seasonal working capital - with the exact worked cases and interview scenarios covered above. Enrol today.
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