Inventory valuation, capacity utilisation and gross margin bridges are where manufacturing FDD gets hard. Here is how practitioners pull them apart on a live deal.
Give a services business and a manufacturer the same headline EBITDA, and the manufacturer will take you three times as long to diligence properly. The reason is simple: in a factory, the largest and most judgement-heavy numbers on the balance sheet — inventory, plant and equipment, working capital — are precisely the ones that reward patience and punish a quick read. Manufacturing is where the classic FDD toolkit gets its heaviest workout, and where a well-drilled analyst pulls ahead of a fast one.
This is a sector that does not need a bespoke framework. It needs the standard framework applied with more scepticism about aggregated figures, and a genuine willingness to open up the costing system rather than trusting the number it spits out. Let me walk through the issues that recur on almost every industrial deal, and how a practitioner actually handles them.
Inventory in manufacturing splits into three buckets — raw materials, work-in-progress (WIP), and finished goods — and each carries a different risk profile. Raw materials are usually the most straightforward to value but the most exposed to obsolescence if the product mix shifts. WIP is the hardest to count and the easiest to over-value, because it sits mid-process and its cost includes allocated labour and overhead that nobody can physically point at. Finished goods look clean until you check whether they will actually sell at the carried value.
The core FDD questions are familiar: is the costing methodology consistent year on year, is provisioning for slow-moving and obsolete stock adequate, and does the physical count reconcile to the ledger? They get materially harder when a business runs thousands of SKUs on a costing system that allocates overhead using assumptions last revisited years ago. A stock-count variance that looks immaterial in aggregate can hide a genuinely material overstatement concentrated in a handful of high-value lines.
The practitioner's move is to disaggregate. Pull ageing by SKU, compare carrying value to recent selling prices, and look for stock that has not moved in twelve months but carries no provision. Obsolescence is where inventory overstatement hides, and it feeds straight into your quality of earnings work, because a provision the target has been quietly under-booking is flattering EBITDA today.
A physical count that ties to the ledger tells you the quantity is right. It tells you nothing about whether the value is right. Those are two separate audits, and manufacturing needs both.
More than almost any other sector, manufacturing rewards a rigorous gross margin bridge — decomposing margin movement into price, volume, mix and input-cost effects. Raw material volatility (steel, resins, energy) can swing margins year to year for reasons that have nothing to do with underlying operational performance. Separating "margin fell because input costs spiked" from "margin fell because the business is losing pricing power" is one of the most consequential judgement calls on the engagement.
Here is a worked example. A components manufacturer reports gross margin falling from 34.0% to 30.5% year on year. The seller's narrative is "temporary input-cost inflation." The bridge tells a more uncomfortable story.
| Gross margin bridge | Margin ppt | Read |
|---|---|---|
| Prior-year gross margin | 34.0% | Starting point |
| Price/rate realised | +0.4 | Modest price increases pushed through |
| Volume/absorption | +0.6 | Higher volumes absorbed fixed overhead |
| Input cost (steel, energy) | −2.1 | Genuine, likely temporary spike |
| Mix shift to low-margin lines | −2.4 | Structural — growth is in worse products |
| Current-year gross margin | 30.5% |
The input-cost hit (−2.1ppt) is real but probably reverses. The mix shift (−2.4ppt) is the finding: the business is growing, but its growth is concentrated in structurally lower-margin products. That is not a timing issue you can adjust out — it is a quality-of-growth problem the buyer must price. A generic margin benchmarking exercise, done without building this bridge, would have accepted the seller's "temporary" framing wholesale.
Manufacturers carry heavy fixed costs — factory overhead, equipment depreciation, a baseline of skilled labour — that get absorbed differently depending on how much of installed capacity is actually running. A plant at 60% utilisation has real operating leverage: EBITDA margin should expand meaningfully as volume grows, without proportionate cost increases. A plant already at 90% has little headroom, and incremental volume may require a step-change in capex before it can be served at all.
This matters enormously for how a buyer reads historical margins and forecasts forward ones. Two businesses with identical current margins can have completely different forward trajectories depending on where they sit on the utilisation curve. A quick EBITDA-margin benchmarking exercise done without sector context will miss it entirely.
| Metric | Business A | Business B |
|---|---|---|
| Capacity utilisation | 62% | 91% |
| Current EBITDA margin | 14% | 14% |
| Headroom for volume growth | High | Minimal |
| Margin on incremental volume | ~40% (fixed cost absorbed) | ~15% (needs new capex) |
| Forward margin trajectory | Expanding | Flat until capex |
Same headline. Very different businesses. The utilisation lens is what tells them apart.
Distinguishing maintenance capex from growth capex is genuinely harder in manufacturing than almost anywhere, because equipment replacement and capacity expansion are routinely bundled into a single project. Replacing an ageing production line might simultaneously restore existing capacity and add new capacity — the same invoice does both. Categorising by account code will not separate them; you have to read the actual project scope.
Getting this split wrong distorts normalised free cash flow, which is the number a buyer ultimately cares about. Overstate maintenance capex and you understate the cash the business genuinely throws off; understate it and you flatter free cash flow with a capex holiday that will end painfully. Our full treatment of the maintenance capex question walks through the technique, but the manufacturing-specific point is this: sit down with the engineering or operations lead, not just the finance team, and go project by project on anything material. The finance ledger tells you what was spent. Only operations can tell you what it bought.
Manufacturing working capital swings hard, and for two distinct reasons that must not be conflated: seasonality (predictable intra-year cycles, such as building finished-goods stock ahead of a peak selling season) and cyclicality (demand tied to the broader industrial cycle). Both distort a naive year-end snapshot.
A normalised working capital analysis in this sector has to use a monthly average across at least twelve — ideally twenty-four — months, not a single balance-sheet date. Set the working capital target off a year-end figure in a seasonal business and you hand one party a windfall at completion, because the target will sit at an artificial peak or trough that does not represent the ongoing requirement. Inventory build ahead of a peak season is the classic trap: December stock is high by design, and pricing the deal off it overstates the cash locked in the business.
Industrial manufacturing carries genuine environmental liability — soil and groundwater contamination, emissions compliance, waste handling, asbestos in older sites — that belongs alongside your contingent-liabilities review but usually needs specialist input your FDD team does not have in-house. These exposures often sit off the balance sheet entirely until they crystallise, which makes them close cousins of the items in the red flags inventory.
The FDD analyst's job is not to quantify a remediation liability — that is for environmental consultants — but to flag, early and clearly, that a parallel environmental workstream is needed where the site profile warrants it. Missing that flag on a target with a fifty-year-old manufacturing site is a genuine professional failure, because the liability can dwarf the equity cheque.
Interviewers love manufacturing because it lets them test whether you actually understand cost behaviour or just memorised definitions. A common prompt: "A manufacturing target's gross margin fell two points last year. Walk me through how you'd investigate."
A strong answer sounds like this:
"I wouldn't accept the aggregate two-point fall at face value — I'd build a gross margin bridge to decompose it into price, volume, mix and input-cost effects. Input-cost movements like steel or energy are often genuine but temporary and may reverse, so I'd want to isolate those from structural issues. The one I'd worry about most is an adverse mix shift — if the business is growing but the growth is concentrated in lower-margin products, that's a quality-of-growth problem the buyer has to price, and you can't adjust it out. I'd cross-check against capacity utilisation too, because if volumes rose, better fixed-cost absorption should have supported margin, so a fall despite higher volumes would point to price or mix pressure rather than cost inflation. And I'd tie the finding back to the EBITDA quality analysis, since a margin story that's really about mix has very different implications for the forecast than one that's about a one-off input spike."
That answer shows you can decompose, prioritise, and connect the finding to valuation — which is the whole job.
Manufacturing does not reward cleverness so much as thoroughness. The framework is the same one you use everywhere; the difference is that inventory, gross margin, capex and working capital are all larger, more judgement-heavy, and more easily distorted by aggregation than in a lighter business model. The analysts who do well on industrial deals are the ones who open the costing system, sit down with operations, and refuse to accept a number just because it reconciles. On a factory floor, the reconciled number and the right number are two different things — and your entire value to the buyer lives in the gap between them.
The Transaction Services Interview Programme (€119.99, one-time) includes a full manufacturing-deal module — inventory disaggregation, gross margin bridges, and capacity-utilisation cases worked end to end. Enrol today.
Hundreds of candidates prepared their interviews with this programme. Those who landed the role have one thing in common: they worked the cases before walking into the room.
