Rank on controllable profit
When it may fit: Rent and corporate allocations differ widely.
Evidence needed: Profit before occupancy and allocations.
Trade-off: Hides whether a location is a good business.
Restaurant Intelligence Brief
How to Compare Restaurant Locations Fairly
Raw profit is a poor way to rank locations. A fair comparison adjusts for size, hours, local costs and age, and compares the lines each manager actually controls.
1. The business problem
How do we compare locations without punishing the ones in tougher markets?
A flagship in a high-rent district and a neighborhood location with low rent are not playing the same game. Ranking them on profit alone rewards the easy site and discourages the hard one.
A fair comparison uses ratios and per-unit measures, adjusts for what a manager cannot control, and separates the performance of the location from the performance of its manager.
2. What the evidence can reveal
Several measures travel better across locations than dollars do:
- Calculated Sales per seat or per square foot, to adjust for size.
- Calculated Food and beverage cost as a share of sales, which is largely controllable.
- Calculated Labor as a share of sales and per cover, adjusted for local wage rates.
- Calculated Controllable profit before occupancy and corporate allocations.
- Information gap Local wage rates, lease terms, hours of operation and age of the location, which explain legitimate differences.
Using several measures at once avoids rewarding a location that does well on one number by neglecting another.
3. Investigate the problem
The synthetic restaurant illustrates which lines are controllable. Calculated Food and beverage cost was $905K and labor $1.01M, and they accounted for 41% and 41% of the cost increase. Occupancy cost was $228K and changed only 3.6%: it is largely fixed and mostly outside the manager’s control.
Calculated The restaurant’s operating margin was 4.8%. A margin before occupancy would be higher and would say more about how the team runs the restaurant, while the margin after occupancy says more about whether the location is a good business.
Hypothesis A fair scorecard would show both views side by side. Information gap The demo has only one location, so it cannot show how the numbers would rank against another. Locations of different ages also behave differently: a new location may take a year or more to reach its stable level, and comparing it to a mature one in its first quarters would mislead.
4. Explore the interactive experience
Investigate it yourself.
Restaurant Profitability Lab: a menu-category dashboard, a scenario simulator for covers, ticket, ingredient cost, labor and menu mix, evidence-linked answers from APIS, and a sample brief, all on synthetic data.
The experience below is built on a single synthetic restaurant, “Demo Bistro.” It is not a multi-location group, so it uses the restaurant’s menu categories and quarters to show the method. Nothing in it is real.
- In the cost table, select Occupancy. Does it move much? What does that imply for comparing locations?
- Select Food & beverage, then Labor. These are the lines a manager can most influence.
- Ask APIS which costs are most controllable.
5. Evaluate possible solutions
A fair comparison framework is a design choice, and a few options are common.
6. What leadership should do next
Questions to answer
- Which measures are within a manager’s control?
- Do locations differ in size, hours or age?
- How are shared costs allocated?
- Is performance compared on ratios or on dollars?
Data to gather
- Profit statements on a common chart of accounts
- Seats, hours and opening date
- Local wage rates
- Allocation rules for shared costs
Steps to take
- Define the scorecard measures.
- Group comparable locations.
- Review results with managers.
- Revisit definitions each year.
7. Engage Two Pillars
Find Opportunities to Improve Location Performance
Two Pillars can help restaurant owners and operators investigate margins, cost structure, location comparisons, menu economics, utilization and expansion decisions using your own data. A good first step is a fair-comparison scorecard for your locations.
Sources and data notes
- The organization, its figures, and every number in this article and its interactive experience are synthetic and illustrative. They are not real data, a benchmark, or a forecast.
- Reviewed October 2026. This article describes an approach to investigation. It does not replace review by qualified professionals.