Retail, QSR & Quick Commerce

Retail has a small, precise set of terms. If you know these, most quarterly presentations become readable in a few minutes.

Revenue growth for a chain has two sources: existing stores selling more, and new stores existing at all. Only the first is evidence that the business is working. A chain can report 25% revenue growth purely by adding stores while every store it already owned sells less than it did last year.

Same-store sales growth isolates the first source. It compares a fixed set of stores — those trading through both periods — against themselves. Definitions differ slightly between companies, usually in how long a store must have been open to qualify, so read the footnote before comparing two chains.

Then decompose it. Same-store sales growth comes from more transactions (footfall) or from a larger average bill. Those are not equivalent. Footfall growth means more people chose the store. Bill growth with flat or falling footfall usually means prices went up — the same volume-versus-value question that runs through every consumer business.

This is also where expansion hides trouble. New stores add revenue and, for a while, add reported profit, which can mask a base that is quietly deteriorating. Three symptoms show up together: same-store sales growth falling while total revenue grows, sales per square foot falling as total area rises, and inventory growing faster than sales. A fourth cause is cannibalisation — a new store opened in the same catchment takes sales from the old one, so the chain grows and the store does not.

Sales per square foot is the productivity number. It normalises for size, so it lets you compare formats and locations rather than just totals. When a chain adds area faster than it adds sales, this number falls — and it falls quietly, because absolute revenue is still rising.

The payback period is the capital-allocation number. Every new store consumes cash up front: fit-out, fixtures, deposits, and the opening inventory. The store then generates cash each year. Payback is how long the second takes to cover the first.

This is why retail is fundamentally a capital-allocation business rather than a merchandising one. Management is repeatedly deciding where to lock up money for years. A short payback means expansion can be funded from the chain's own operations, and a mistake is recoverable. A long payback means expansion needs external capital, and every store is a multi-year bet on a catchment staying the way it looked at signing.

Gross margin tells you what you make on one sale. Inventory turns tell you how many times a year you get to make it. The return on the money tied up in stock depends on both — a thin margin turned many times can beat a fat margin turned twice.

That is the whole grocery model. Margins on staples are thin and competitive, so grocery retailers make their return by moving the same shelf space repeatedly, keeping stock-outs low and negotiating supplier credit so that goods are sold before they are paid for. Watch inventory days and stock availability, not the gross margin percentage.

Apparel is the mirror image. The gross margin is fat, but the stock sits for a season, and unsold stock at the end of it becomes a markdown. A markdown converts a fat headline margin into a much thinner realised one, which is why full-price sell-through — the share of stock sold before discounting — matters more than the gross margin printed in the accounts.

In fresh and perishable categories a third factor appears: shrinkage and wastage. Stock that spoils, expires or goes missing is a direct cost that never shows up as a sale, and it is the reason fresh-heavy formats need much tighter operations than packaged-goods formats.

These formats compete for the same consumer wallet but run on different economics. The key metric column is the one that changes most between them — using a grocery metric to judge an apparel chain is the most common analytical error in this sector.

A quick-service restaurant (QSR) makes the product on site and sells it immediately. Food and packaging are a minority of the menu price, so the gross margin looks generous. But rent, staff and utilities are large and largely fixed, so a store only works above a footfall threshold.

That creates heavy operating leverage. Once fixed costs are covered, a large share of every extra rupee of sales drops through to store profit; below that point, the same leverage works in reverse and a modest fall in same-store sales can wipe out store-level margin entirely. It is why QSR results swing so much on a same-store sales number that looks small.

Delivery aggregators complicate the picture. They add orders the store would not otherwise get, but they take a commission, and a delivery order carries different economics from a dine-in order — no beverage attachment, different packaging cost, different ticket size. A rising delivery mix can lift revenue while diluting margin. And the menu-price question is the volume-versus-value question again: a chain can hold same-store sales positive by raising menu prices while the number of customers walking in falls.

In a company-owned company-operated (COCO) store, the whole of the store's sales and the whole of its costs appear in the company's accounts. In a franchise-owned franchise-operated (FOFO) store, the franchisee puts up the capital and books the sales; the listed company reports only its royalty and whatever margin it makes supplying the store.

That difference is mechanical, and it distorts comparison badly. A franchised model reports much smaller revenue and a much higher margin percentage, because royalty income has almost no cost attached to it. So a company that shifts its mix toward franchising will show its margin percentage improving even if not one store got better. The store did not improve — the accounting mix did.

Franchising is not a trick; it is a legitimate way to grow faster on someone else's capital, and it changes the risk profile of expansion. But when a margin percentage jumps, always ask which of the two happened: the stores improved, or the mix moved.

Retail runs on leased space, and the accounting for leases changed. Under the current standard (Ind AS 116, the Indian equivalent of IFRS 16), a store lease is recorded on the balance sheet as a right-of-use asset and a matching lease liability, rather than as a simple rent expense in the profit-and-loss statement.

The effect on the reported numbers is significant. Rent largely disappears from operating cost and reappears as depreciation on the asset plus finance cost on the liability. Both of those sit below EBITDA — earnings before interest, tax, depreciation and amortisation. So reported EBITDA and EBITDA margin jump versus the old treatment, without a single extra rupee of cash being earned.

Two consequences. Comparing a retailer's EBITDA margin across the transition, or against a company with a different mix of leased and owned space, is misleading. And headline debt rises because lease liabilities are now on the balance sheet, which is not the same as borrowed money.

The defence is simple: use the pre-Ind-AS-116 figures where the company discloses them, and lean on cash flow from operations after lease payments. Accounting changes cannot manufacture cash.

Quick commerce delivers a small basket from a nearby dark store in minutes. The model is genuinely new, and the argument about it comes down to one number: contribution per order.

Start with the average order value (AOV) and the gross margin earned on that basket. From that, subtract what it costs to deliver — the rider payout, packaging, and the dark store's share of rent, staff and electricity. What remains is the contribution the order makes toward everything above it: technology, marketing, and head office.

If that contribution is negative, every additional order makes the loss larger. This is why order growth, downloads and gross merchandise value tell you nothing on their own about viability. Growth is only good news once the marginal order pays for itself.

The levers that fix it are specific and worth knowing: raise average order value so the fixed delivery cost is spread over a bigger basket; increase orders per dark store per day, since density is what makes a rider's trip efficient; shift the mix toward higher-margin categories; and add revenue that does not carry delivery cost, such as advertising paid by brands for placement. Each of these is measurable, and companies that are getting it right tend to disclose them.

The format tells you the shape of the economics. It does not tell you whether a particular chain is executing. Two grocery retailers with identical formats can differ enormously in supplier terms, private-label share, shrinkage control, store-site selection and how disciplined they are about closing a store that is not working.

Retail also punishes small operational differences more than most sectors, because the margins are thin and the fixed costs are committed for years through leases. A one-point difference in gross margin or a slightly worse location decision compounds across hundreds of stores.

So use the format map to know which metric to look at and what a normal reading looks like for that kind of business. Then judge the individual company on its own disclosure — same-store sales, closures, sell-through, payback and cash flow — because none of those are determined by the sector.