Food Service & Processing
Two businesses under one heading, and they must never be analysed with the same tools. Retail food service lives or dies on per-store unit economics. Food processing is a fixed-price contract business with punishing working capital.
For retail: novelty fades, so judge the mature-store cohort, not the new one. For processing: contracts are fixed, so the analysis is procurement price, yield, grade mix and the ninety-day working-capital cycle.
Two models, two analytical frames.
A · Retail food service
- FormatsStandalone versus in-mall locations; cloud kitchens; FOFO, COCO or hybrid ownership models.
- ChannelsDine-in versus aggregator delivery — different margins, and aggregators take a cut.
- The core riskOnce a brand reaches a certain scale, the novelty wears off. Same-store growth in the mature cohort is the honest test.
B · Food processing & export
- ModelB2B. Procure from farmers, process, sell to institutional buyers and brokers — often on export contracts.
- ConstraintDehydration and similar processes must sit close to the farm; preservation and moisture loss govern the location.
- ConcentrationClusters are real: Mahuva in Gujarat alone has roughly 80–100 dehydration companies exporting onion and garlic at 6–8% margins.
Per-store maths, and the processing bridge.
Retail — the definitions that matter
- ConversionTotal bills ÷ customers × 100 — footfall actually turning into a sale.
- ATVTotal sale ÷ total bills. Average ticket value.
- Basket sizeTotal quantity sold ÷ total bills.
- ASPTotal sale ÷ total quantity sold.
- SPSFTotal sale ÷ store size. Sales per square foot — the productivity measure.
- Table turnsHow many times a table is filled per service period.
- Rent per sq ftPer month, and against SPSF — the ratio that decides store-level profit.
Processing — the margin bridge
less variable costs — raw material at mandi + milling and sorting loss + freight
= gross margin
less fixed overheads — A&P, employee cost, storage and ageing
= EBITDA
Blended realisation is simply total revenue ÷ total volume sold. Export realisation per kg typically runs higher than bulk domestic, reflecting stronger pricing power on branded or specification-grade product.
Store productivity, branded mix, and procurement edge.
Mature-store productivity
SPSF and throughput per store in the mature cohort, not the newly opened one. New stores flatter every average; the mature base tells you whether the concept holds.
Branded revenue share
In processing, branded sales ÷ total sales is the pricing-power metric. Bulk commodity export at 6–8% margins is a fundamentally different business from a branded one.
Procurement & yield
Procurement price per kg, realised yield, and grade A versus grade B mix. Small yield differences compound directly into gross margin on fixed-price contracts.
What to answer before underwriting.
- →Store cohort economics. SSSG and SPSF for stores open more than two years, separated from new openings. Has novelty worn off in the mature base?
- →Standalone or mall. Location mix, rent per sq ft per month, and how rent compares against sales per sq ft.
- →Channel split. Aggregator versus dine-in, and the margin on each after commission.
- →Ownership model. Cloud kitchen, FOFO, COCO — and what that means for capital intensity and control.
- →Revenue per SKU. Tracked QoQ and YoY to see what actually sells, and whether pricing has been tested.
- →Input cost absorption. Can the business absorb escalation — for example a global coffee price move — or does it reprice?
- →Procurement terms. Price per kg, sourcing period, price volatility, and grade A versus grade B split.
- →Processing capacity. Plant throughput capability versus actual volumes, and wastage rates.
- →Contract structure. Quarterly or half-yearly ship-liner contracts, and whether any escalation clause exists at all.
- →Client concentration. Top three to five institutional buyers and brokers, and advance terms by geography.
What to monitor, quarter by quarter.
| KPI | Calculation | Benchmark or read-through |
|---|---|---|
| SSSG | Same-store sales growth | Read on mature stores only; the honest measure of concept health |
| Sales per sq ft (SPSF) | Total sale ÷ store size | The core productivity metric; compare against rent per sq ft |
| Average ticket value | Total sale ÷ total bills | Rising ATV on flat footfall = pricing or mix working |
| Conversion | Total bills ÷ customers × 100 | Footfall turning into sales; falling conversion precedes SSSG decline |
| Basket size | Total quantity ÷ total bills | Attach rate; upselling effectiveness |
| Table turns | Covers per table per period | Capacity utilisation in a dine-in format |
| Rent ÷ sales | Store rent ÷ store revenue | The store-level profitability gate |
| Aggregator vs dine-in mix | Revenue split | Aggregator commission is a permanent margin cost |
| Throughput per store | Volume or covers per store | Normalises for store size when comparing formats |
| Blended realisation (₹/kg) | Total revenue ÷ total volume | The processing top line; split domestic vs export |
| Export realisation per kg | Export revenue ÷ export volume | Typically above bulk domestic — a pricing-power signal |
| Branded revenue share | Branded sales ÷ total sales | The single best margin-durability indicator in processing |
| Procurement price | ₹/quintal or ₹/kg at mandi | Track through peak arrival quarters — the RM inflation read |
| Yield / wastage | Output ÷ input; wastage % | Small yield moves compound directly into gross margin |
| Grade A vs B mix | Volume split | Grade mix drives realisation as much as price does |
| Working capital cycle | Debtor + inventory − creditor days | ~90 days is the sector norm; farmer paid at ~3 months |
How the thesis breaks.
- !Novelty decay. The stated sector risk: at a certain scale the novelty wears off. Growth carried entirely by new openings, with flat or negative mature-store SSSG, is the classic warning.
- !Fixed contracts, floating inputs. In processing, quarterly and half-yearly contracts with no escalation clause mean input inflation lands wholly on the processor.
- !Working-capital squeeze. Paying farmers at three months while receiving 30% advance from EU buyers leaves a structural funding gap.
- !Commodity margins. Bulk dehydration export at 6–8% margins offers almost no buffer against a procurement or freight shock.
- !Cluster competition. Eighty to a hundred companies in a single cluster means limited pricing discipline and easy buyer switching.
- !Aggregator dependence. Delivery platforms bring volume and take margin; a commission change resets store economics.
- !Perishability and yield. Moisture loss, wastage and grade slippage hit gross margin with no recourse under fixed pricing.
The figures, and where they stand.
| Metric | Value | Note | Basis |
|---|---|---|---|
| Dehydration export margin | 6–8% | Mahuva cluster, onion and garlic export | Research note |
| Mahuva cluster size | 80–100 companies | Gujarat; onion and garlic dehydration | Research note |
| Farmer payment terms | ~3 months | Procurement side of the cycle | Research note |
| EU buyer advance | ~30% | Balance on delivery terms | Research note |
| Middle East buyer advance | ~60% | Materially better terms than EU | Research note |
| Working capital cycle | ~90 days | The sector's structural funding requirement | Research note |
| Contract tenure | Quarterly / half-yearly | Fixed price; escalation is the known drawback | Research note |