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050

Case 050Unit economicsCore

Which metrics would you look at when valuing a retailer? Kesarvi Retail runs 60 apparel stores and wants to open 25 more next year. What do the metrics say about the plan?

Silver LakeSan Francisco · 2022

1The situation

Kesarvi Retail sells mid-priced apparel through 60 stores averaging 2,500 square feet, plus its own website. Stores sell Rs 14,000 a square foot a year, same-store sales growthGrowth in sales at stores open for at least a full year in both periods, so new openings do not flatter the number. It shows whether existing stores are still gaining customers. is 8%, and store-level EBITDA is 16% of store sales. A new store costs Rs 1.6 crore to fit out and stock. Online is 20% of total revenue. The store P&L shows about 48% of sales left after the cost of goods, with rent, staff and power roughly fixed for each store.

Kesarvi is raising growth capital to open 25 stores next year. The interviewer asks which metrics you would use to value a retailer, and what they say about this plan. All figures are illustrative.

2Your task

Which metrics matter for a retailer, what do Kesarvi's say about one store's economics, and what does the 25-store plan depend on?

Quick check

How long does a new Kesarvi store take to pay back its Rs 1.6 crore, if it trades like today's stores?

Worked solution

Try it on paper, then open one step at a time.

30-second answerThe answer to give first

Value a retailer on sales per square foot, same-store sales growth, store-level EBITDA margin and the payback on a new store's capex; Kesarvi's say each store returns its Rs 1.6 crore in about 2.9 years. That makes the plan a Rs 40 crore bet that new stores trade like old ones. Because rent and staff are fixed, a new store at 85% of today's sales per square foot takes 5.2 years to pay back, and at 70% almost never does, so same-store growth holding is the evidence that matters.

Step 1Which metrics value a retailer, and why those?

A chai stall owner deciding whether to open a second stall asks three things: how much the first one sells a day, whether that is still growing, and how many months of profit it takes to pay for the cart. A retailer is valued on the same questions at scale: sales per square foot for how hard the space works, same-store sales growth for whether existing stores are still gaining customers, store-level EBITDA margin for what each rupee of sales leaves, and new-store payback for whether opening more is worth it. Behind those sit inventory turns, rent as a share of sales, and how new stores ramp in their first year. Kesarvi's numbers give the first four.

Build one store. 2,500 square feet at Rs 14,000 is Rs 3.5 crore of sales a year, and 16% of that is Rs 56 lakh of store EBITDA. Against Rs 1.6 crore of capex that is a payback of 2.9 years, a 35% annual return on the money spent to open it. Across 60 stores that is Rs 210 crore of store sales and Rs 33.6 crore of store EBITDA; with online at 20% of revenue, total revenue is about Rs 262.5 crore. Store EBITDA is before head office costs, so the company's own margin is lower.

One store's economics, and what they say about opening 25 moreStore size2,500 sq ftaverage across 60 storesSales a sq ftRs 14,000= Rs 3.5 cr a storeStore EBITDA 16%Rs 56 lakha store, a yearCapex Rs 1.6 cr2.9 yearspayback; 35% a year on capexIf a new store sells less, the fixed rent and staff eat the margin: payback in yearsRs 14,000 a sq ft (100%)2.9 years, margin 16.0%Rs 11,900 a sq ft (85%)5.2 years, margin 10.4%Rs 9,800 a sq ft (70%)28.6 years, margin 2.3% (off the scale)0246810The plan: 25 stores x Rs 1.6 cr = Rs 40 cr of capex, 42% more stores, more than a year of today'sRs 33.6 cr store EBITDA. At today's numbers they add Rs 14 cr a year; at 70% sales, about Rs 1.4 cr.
A store selling Rs 3.5 crore a year at a 16% margin pays back its Rs 1.6 crore in 2.9 years, but at 85% of today's sales per square foot payback stretches to 5.2 years and at 70% to about 29, so the Rs 40 crore plan rests on new stores matching old ones.
Step 2Why does payback move so much when sales per square foot dips?

Because most of a store's costs do not fall with its sales. With 48% of sales left after the cost of goods, a Rs 3.5 crore store keeps Rs 1.68 crore to cover rent, staff and power of about Rs 1.12 crore, and the Rs 56 lakh left is the EBITDA. Take 15% off sales and the cost of goods falls with them, but the Rs 1.12 crore does not, so EBITDA falls to Rs 31 lakh, a 10.4% margin, and payback stretches to 5.2 years. At 70% of today's sales per square foot, EBITDA is about Rs 5.6 lakh and payback is 29 years. A store breaks even at about Rs 9,333 a square foot, 67% of today's level.

New store's sales a sq ftShare of todayStore sales, Rs crStore EBITDA, Rs lakhMarginPayback, years
Rs 14,000100%3.5056.016.0%2.9
Rs 11,90085%2.9830.810.4%5.2
Rs 9,80070%2.455.62.3%28.6
Because about Rs 1.12 crore of each store's costs are fixed, a 15% shortfall in sales per square foot cuts store EBITDA by 45% and nearly doubles payback; the store breaks even at about Rs 9,333 a square foot.
The relationship
Payback=CapexStore EBITDA=1.62,500×14,000×16%=1.60.56≈2.9 years\text{Payback} = \frac{\text{Capex}}{\text{Store EBITDA}} = \frac{1.6}{2{,}500 \times 14{,}000 \times 16\%} = \frac{1.6}{0.56} \approx 2.9 \text{ years}
1.6capex to open one store, Rs crore
2,500 x 14,000store size in square feet times sales per square foot, Rs 3.5 crore a year
16%store-level EBITDA margin
0.56store EBITDA a year, Rs crore
What it says in wordsA store pays back in the years of its own profit it takes to cover the money spent opening it.
Step 3So what do the metrics say about 25 stores?

The plan adds 42% to the store count for Rs 40 crore, more than a year of today's Rs 33.6 crore store EBITDA. If the new stores trade like the old ones they add Rs 14 crore of EBITDA a year and the money returns in under three years. The 8% same-store growth is what makes that believable: it shows the existing format is still pulling more customers each year, not just more stores pulling the same customers. If same-store growth slows while openings speed up, the chain is buying growth with floor space, and new stores in less proven cities are the ones most likely to land at 85% rather than 100%.

What to ask before backing the plan: sales per square foot by store age, to see how new stores ramp; same-store growth split into footfall and ticket size; how many of the 25 are in cities where Kesarvi already trades; and whether online sales cannibalise stores or bring customers into them. The limitation of the arithmetic is that it treats every store as average; the judgement is that the plan is sound at today's store economics and should be staged, with the second half of the openings tied to the first half reaching the existing stores' sales per square foot.

Where candidates lose it

The common loss is listing metrics without connecting them. Sales per square foot, margin and payback are one chain, and the answer should build a single store from them before saying anything about the plan.

The second is assuming new stores keep the 16% margin when their sales are lower. Rent and staff do not shrink with sales, so a modest shortfall in sales per square foot nearly doubles the payback.

What the interviewer asks next

  • Kesarvi's newest ten stores average Rs 11,500 a square foot. What does that do to your view of the plan?
  • How would you value the online business separately from the stores?
  • Same-store growth of 8% is all from higher prices, with footfall flat. Does that change your answer?
  • Would you rather see 25 new stores or a refit of the existing 60, and how would you compare them?

Asked at Silver Lake, Technology, Media and Telecom, San Francisco, 2022 (Wall Street Oasis): What metrics would you look at when valuing a retail company?

← Case 049Samayvik Labs' two co-founders each hold 40 lakh shares on four-year vesting with a one-year cliff and monthly vesting after. One leaves after 18 months. How many shares does she keep, what happens to the rest, and how would double-trigger acceleration change the answer in a sale?Case 051 →Rekhavik Design wins customers through free sign-ups; a sales-led rival wins them through a field team. Compare the CAC and payback of the two models.

Company names and figures are illustrative.

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