Coffee shop unit economics and KPIs
Illustrative case · Counter-service café in an existing leased unit · United States · illustrative leased-site case
Explore this business · Unit economics and KPIs
The economic unit is one customer transaction. A $8.25 ticket leaves $5.43 after modeled ingredients, packaging and payment fees. Labor and rent still have to be paid from that contribution.
Measure a ticket, not just a cup
A transaction may contain a coffee and pastry, several drinks or only one item. Track transaction count and net sales together so a higher average ticket is not mistaken for more customers. Discounts and refunds reduce the achieved ticket. Sales tax and tips are not modeled as business revenue.
Contribution and break-even
Before display rounding, $8.25 minus $2.825 equals $5.425 per transaction. Dollar and cent displays use decimal half-up rounding; each displayed amount is rounded independently. Break-even and the monthly model use the unrounded amounts.
| Measure | Reference case |
|---|---|
| Average ticket | $8.25 |
| Variable cost per transaction | $2.83 |
| Contribution per transaction | $5.43 |
| Operating break-even transactions/day | 116.6 |
| Cash break-even transactions/day including loan payments | 128.8 |
Operating break-even = fixed costs ÷ contribution ÷ trading days. Cash break-even adds monthly principal and interest to fixed costs. It assumes stable working capital; building stock or waiting longer for settlements can require additional cash. Neither measure includes income taxes. Calculation method.
Check the morning queue and the roster
The case assumes a service capacity of 30 transactions per hour across 10 opening hours: 300.0 transactions per day. This is an operating assumption for the team, not a supplier-rated machine output. Mature demand of 170 transactions fits the daily limit, but a concentrated morning rush can still overwhelm the counter.
Test order entry, payment, espresso preparation, milk handling, food pickup and cleanup during a realistic peak. The employee budget and working owner together must cover opening, breaks, closing and absence. Reaching the daily total does not prove that every shift is staffed correctly.
A weekly scorecard that leads to decisions
| Track | Why it matters | Response to investigate |
|---|---|---|
| Transactions by hour | Shows whether demand aligns with the roster. | Change coverage and opening hours before adding permanent shifts. |
| Net sales / transactions | Separates customer volume from basket mix. | Check menu mix, discounting and pastry attachment. |
| Ingredients and waste / net sales | Tests the recipe and spoilage allowance. | Compare purchasing, yields and actual portions. |
| Paid labor hours / transactions | Reveals excess capacity or an overloaded team. | Reconcile time records to the service standard. |
| Bank cash and next payroll | Surfaces a liquidity problem before the P&L closes. | Refresh the rolling forecast with settlements and committed bills. |
Ticket mix and peak coverage
More transactions can require another paid shift. Test labor coverage and waste alongside the average ticket; an arithmetic contribution margin cannot prove the proposed queue can be served.
Contribution and break-even use the stated unit definition. Collect both its numerator and denominator over the same period. Compare the monthly demand scenarios before interpreting a mature-month threshold as an opening-year result.
Observed industry evidence
What the SBA records show
997 FY2025 disbursed-status records establish that the broader category has observable lending activity. Those loan records do not report transaction tickets, ingredient costs, service capacity or local demand. The unit calculations below are assumptions to test against your own operating evidence.
Explore amounts, terms, lenders, states and outcomes →
Source: SBA 7(a) and 504 FOIA files, snapshot 30 June 2026. Recomputed from original records on 1 October 2026. FY2025 is the most recent complete fiscal year in these files. Definitions and exclusions.
Sources and scope
- Reference-case assumptions and calculation method · Checked 2026-10-01 · Fictional US planning case authored 1 October 2026. Budget allowances, demand, rent, labor, finance and scenarios are assumptions, not market averages.
- SBA — 7(a) loans · Checked 2026-10-01 · United States; permitted uses, lender application process and ability-to-repay requirement. No approval, rate or equity percentage is promised.
- SBA — 504 loans · Checked 2026-10-01 · United States; qualifying long-term fixed assets; working capital and inventory excluded.
- WebstaurantStore — Appia Life Compact two-group machine · Checked 2026-10-01 · Listed machine price checked 1 October 2026. Required service-plan selection and site work are separate; this is not a complete equipment quotation.
- FDA — How to Start a Food Business · Checked 2026-10-01 · US retail food businesses: state/local oversight and site-specific licenses; not a local permit checklist.