Retail & Fashion
Retail is a fixed-cost business, so density and throughput decide the margin. The valuations follow store-addition pace and rising ASP — which is exactly why cannibalisation, when it arrives, is so damaging and so quiet.
Sales per square foot against rent per square foot is the store-level gate. Above it, the levers are private label, full-price sell-through and inventory age; the trap is opening stores into your own catchment.
Formats, categories, and where regional taste bites.
How the estate is built
- Cluster approachMultiple stores in one city at different sizes — density in a known catchment.
- Hub and spokeTypically targeting tier 2 and 3 markets from a regional base.
- LocationStandalone versus inside a mall — different footfall, rent and conversion profiles.
- OwnershipOwned or leased; EBO, MBO or large-format store.
Category behaviour differs
- Regionally sensitiveApparel, grocery and footwear — consumer preference varies materially region to region.
- Regionally shieldedConsumer durables and electronics are largely insulated from regional taste.
- GM vs apparelGeneral merchandise carries a lower selling price; apparel carries a higher one. The split between GM, apparel and FMCG shapes blended margin.
Value fashion growth rests on four drivers: unorganised shifting to organised, data-led product development at chain scale, economies of scale producing competitive costs, and rising discretionary income plus nuclearisation of families.
Fixed-cost leverage, and why online-only value fashion cannot work.
Operating leverage is the whole model. Store rents, corporate overhead and staff salaries are largely fixed. As revenue grows, those costs fall as a percentage of sales and incremental revenue flows disproportionately to the bottom line. Rising throughput is also what drives employee cost per square foot down — which is why throughput, not store count, is the honest growth metric.
The cost anchors. Average rent runs around ₹42–45 per sq ft per month. Employee cost is roughly 23–24% of COGS, with seasonal swing. Mature stores should be compared against new on revenue per sq ft per month — one reference target sits near ₹15,000 per sq ft annually.
Margin comes from control. In-house manufacturing reduces cost by roughly 10–15%. Private label gives control of pricing, quality and margin. Centralised distribution holds inventory until a store actually needs it, preventing overstocking at store level.
Average transaction value sits at or below ₹1,000, and is very sticky there.
Gross margin is 30–40% (winter products ~34% versus ~31% for others).
Delivery costs ₹120–130 per order.
That leaves roughly ₹180–280 per order to cover salary, rent and every other operating cost. Even in the best case, that is a poor-quality business — the arithmetic does not permit otherwise.
Throughput, private label, and inventory discipline.
Throughput per square foot
Sales per sq ft against rent per sq ft is the gate. Rising throughput drives employee cost per sq ft down and is what turns fixed-cost leverage into actual margin expansion.
Private label & design
Own brands give control of pricing, quality and margin; in-house manufacturing cuts cost 10–15%. Data-led design — knowing what is trending before ordering — is the modern version of merchant skill.
Sell-through discipline
Full-price sell-through above 90% means minimal unsold stock. Inventory ageing and how quickly a slow-moving SKU is identified and discounted is where retail margin is actually won or lost.
What to answer before underwriting.
- →Cannibalisation. Are new stores opening in pin codes already served? What is mature-cohort SSSG versus total revenue growth?
- →Store economics old vs new. Revenue per sq ft per month for mature stores against new, and the target revenue per sq ft.
- →Format and location mix. EBO, MBO, large-format; standalone versus mall; cluster versus hub-and-spoke.
- →Full-price sell-through. Should exceed 90%. What proportion clears at discount, and how fast is a slow mover identified?
- →Inventory ageing. Share of stock older than 12 months, and inventory days against the 100–120 day working range.
- →Private label share. What proportion of sales, how much design is in-house versus outsourced, and what it does to gross margin.
- →Brand concentration. Contribution of the top five brands, and whether preferential pricing or early access to launches is secured.
- →Category and region split. Kids, women, men; casual and formal; GM versus apparel versus FMCG; and revenue rank by state.
- →Channel mix and returns. Retail, wholesale, online — and the return rate on each channel, which differs sharply.
- →Design capability. Is the design team data-led? Are marketplace APIs used to read what is trending before committing to buy?
- →Performance marketing. Spend level and what it is buying — positioning or volume that stops when the spend stops.
- →Distribution. Is inventory held centrally until required at store level, or pushed to stores and stranded there?
What to monitor, quarter by quarter.
| KPI | Calculation | Benchmark or read-through |
|---|---|---|
| SSSG | Same-store sales growth, mature cohort | The cannibalisation test — read against store additions |
| Sales per sq ft (SPSF) | Total sale ÷ store size | The core productivity metric; compare mature vs new |
| Rent per sq ft | Monthly rent ÷ carpet area | ~₹42–45/sq ft/month reference; the gate against SPSF |
| EBITDA per store / per sq ft | Store EBITDA ÷ stores or area | Exposes loss-making stores hidden in a blended number |
| 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; falls before SSSG does |
| Basket size | Total quantity ÷ total bills | Attach rate and cross-sell effectiveness |
| ASP | Total sale ÷ total quantity | Together with volume, the two-factor revenue bridge |
| Full-price sell-through | Full-price units ÷ units bought | Should exceed 90%; below that, markdown is eating margin |
| Inventory ageing | Stock older than 12 months, % | Against 100–120 inventory days as the working range |
| Private label share | Own-brand sales ÷ total | Controls pricing, quality and margin; in-house cuts cost 10–15% |
| Employee cost ratio | Staff cost ÷ COGS | ~23–24%, with seasonal swing; falls per sq ft as throughput rises |
| Store count movement | Opened, closed, relocated | Net additions hide closures — always ask for the gross numbers |
| Channel mix and returns | Retail / wholesale / online, return % each | Online returns can erase the channel's apparent margin |
| Gross margin by category | By GM / apparel / FMCG | Mix shift moves blended margin without any pricing action |
| Gross profit per sq ft by SKU | SKU GP ÷ space allocated | The real test of whether shelf space is earning its keep |
How the thesis breaks.
- !Cannibalisation. Stores in overlapping pin codes eating each other's sales, leaving revenue growth flat on a rising store count. The single most important thing to check.
- !Growth carried by openings. Positive total growth with flat or negative mature-cohort SSSG means the concept is not compounding, only replicating.
- !Inventory ageing and markdown. Sell-through below 90% and stock past 12 months means margin is being given away at the back end.
- !Online-only economics. At ~₹1,000 ATV, 30–40% gross margin and ₹120–130 delivery, the model cannot cover operating costs. Treat online-only value fashion sceptically by default.
- !Fixed-cost leverage in reverse. The operating leverage that magnifies growth magnifies decline just as fast when throughput falls.
- !Regional taste mismatch. In apparel, grocery and footwear, a format that works in one region can fail in the next; national roll-out assumptions are often too confident.
- !Marketing-dependent demand. Performance marketing that buys volume rather than positioning creates revenue that stops the moment spend does.
The figures, and where they stand.
| Metric | Value | Note | Basis |
|---|---|---|---|
| Average rent | ₹42–45 / sq ft / month | Varies with store size and location | Research note |
| Employee cost | 23–24% of COGS | Seasonal swing | Research note |
| Target revenue per sq ft | ~₹15,000 | Reference target for a value-format operator | Research note |
| Full-price sell-through | >90% | Below this, markdown is eroding margin | Benchmark |
| Inventory days | 100–120 days | Working range | Benchmark |
| In-house manufacturing saving | 10–15% | Cost reduction versus outsourced | Research note |
| Online ATV — value fashion | ≤ ₹1,000 | Very sticky at that level | Research note |
| Online gross margin | 30–40% | Winter ~34% vs other products ~31% | Research note |
| Delivery cost per order | ₹120–130 | Leaves ₹180–280 for all operating costs | Research note |