€100k Revenue Store vs €70k Revenue Store: Which Is More Profitable?
Store A reports €100,000 of net revenue; Store B reports €70,000. The larger store appears to have more room to invest. A consistent cost bridge reveals that the smaller business retains almost four times as much operating profit.
Which store generates more money after the costs required to produce its sales?
Start with the same definition of sales.
The headline amounts are net sales after discounts and refunds. The two businesses have similar €100 net revenue per order, but arrive there through different gross sales and reductions.
| Measure | Store A | Store B |
|---|---|---|
| Gross product sales before discounts | 110,000 | 75,000 |
| Discounts | (6,000) | (2,000) |
| Refunded revenue | (4,000) | (3,000) |
| Net product revenue | 100,000 | 70,000 |
| Orders | 1,000 | 700 |
| Net revenue per order | 100 | 100 |
The refund amounts are monetary reversals, not order-return rates. They are not enough on their own to infer customer experience or the number of returned parcels. Shopify’s sales reporting definitions provide a useful reconciliation starting point.
The larger store spends more to retain each euro.
Store A carries a higher product-cost ratio and much heavier acquisition burden. Its scale produces more revenue, but substantially less contribution.
| Measure | Store A | Store B |
|---|---|---|
| Net revenue | 100,000 | 70,000 |
| COGS, after inventory recovery | (48,000) | (28,000) |
| Marketing | (25,000) | (10,000) |
| Shipping and fulfillment | (9,000) | (5,000) |
| Payment fees | (3,000) | (2,100) |
| Return handling | (1,000) | (900) |
| Operating contribution | 14,000 | 24,000 |
| Fixed operating overhead | (10,000) | (9,000) |
| Operating profit before interest and tax | 4,000 | 15,000 |
Store B retains €10,000 more before fixed overhead.
The €30,000 revenue advantage of Store A is overwhelmed by €40,000 of additional variable burden. Store A then has €1,000 more fixed overhead.
€15,000 − €4,000 = €11,000 more operating profit at Store B.
Product economics
Store A’s €48,000 COGS is 48% of net revenue. Store B’s €28,000 is 40%. This may reflect sourcing, pricing or mix; the totals alone do not identify the cause.
Acquisition burden
Marketing consumes 25% of net revenue at A versus approximately 14.3% at B. The gap warrants a cohort and incrementality investigation, not an automatic budget cut.
Contribution margins are 14.0% and approximately 34.3%. The smaller store’s advantage exists before the fixed-cost comparison, so overhead efficiency is not the main explanation.
Store A is profitable, and its demand has value.
The analysis does not prove that smaller businesses are inherently better. Store A produces €4,000 of operating profit and may have capabilities or future demand absent from this one-month view.
Surface interpretation
More revenue and more orders make Store A look commercially stronger. Those facts remain correct.
Economic interpretation
Store B’s €15,000 operating profit gives it more current earnings capacity. Revenue is an input to this conclusion, not a substitute for the cost bridge.
Profit is not cash available for distribution. Inventory purchases, settlement timing, debt payments and tax can create a different cash outcome. This case compares operating economics only.
Compare incremental economics before copying either store.
Assume each store can add 100 orders at its current contribution per order, with €1,000 of additional fixed support cost. This is a sensitivity test, not an expectation that historical averages remain constant.
| Measure | Store A | Store B |
|---|---|---|
| Current contribution per order | €14.00 | €34.29 |
| Contribution on 100 added orders | €1,400 | €3,428.57 |
| Additional support cost | (€1,000) | (€1,000) |
| Incremental operating profit | €400 | €2,428.57 |
The expansion is more attractive at Store B under these assumptions. Its marginal acquisition cost, product mix and fulfillment capacity still need validation before committing spend. A profitable average does not guarantee a profitable next tranche.
Use the bridge to choose a focused intervention.
For Store A, investigate the €15,000 marketing-cost difference and the COGS ratio before treating order volume as the solution. For Store B, test whether the contribution advantage survives expansion.
- Validate product-cost comparability
Use consistent landed costs and inventory recovery. An incomplete cost record can manufacture an apparent advantage.
- Separate channel and customer mix
Compare new and repeat customers, offer depth and cohort contribution. Avoid assuming the lower marketing ratio is entirely operational efficiency.
- Test a bounded change
Choose one offer, audience or SKU set and measure contribution after mature returns. Preserve the original boundary.
- Reconcile operating profit to cash
Before allocating the apparent surplus, include inventory commitments and payment timing in the cash plan.
The operating costs framework helps keep shared overhead separate from unit costs that move with additional orders.
The €70k store earns €11,000 more operating profit.
Store B generates €15,000 versus Store A’s €4,000. The difference comes primarily from variable economics, not from having fewer orders or a dramatically smaller overhead base.
Revenue is not earnings capacity.
Store A leads on sales; Store B leads on contribution and operating profit in this constructed month.
The next 100 orders are not equally valuable.
At unchanged unit economics and €1,000 added support cost, the modeled profit increase is €400 at A versus €2,428.57 at B.
Rebuild the operating result
Use net sales and a complete cost boundary before comparing store size or expansion opportunities.