When a group adds outlets, its total revenue can rise even while the outlets it already had are flat or declining. Closures work the other way. A single all-outlet growth figure mixes these effects, so it cannot tell you how the existing business performed.
This guide shows how to split one revenue change into a comparable group, new outlets, closed outlets and other recorded exclusions, then reconcile the parts back to the total. It uses one net revenue measure across matched periods. It is not a multi-measure scorecard, and the figures are an original fictional example, not a benchmark.
Fix the scope before choosing outlets
Define the two periods and match their length and weekday pattern where the comparison calls for it. Record holiday, trading-day and opening-hour differences rather than assuming matched dates mean identical conditions. Use one currency and one revenue definition for both, such as net revenue after the same deductions, and record that definition in words.
Give every outlet a stable identifier that does not change if it is renamed or refitted. Without stable IDs, the same location can appear as a closure and a new opening, and the bridge stops meaning anything.
Write the eligibility rule before looking at results
Decide what makes an outlet comparable before anyone sees the period figures. In this guide, comparable means the same predefined outlets operated through both matched periods under the recorded scope. That is a working definition for this example, not a universal metric.
Freeze the rule and apply it to every outlet. Removing a weak outlet after seeing its numbers changes the question and can make reported growth look stronger. Record each classification with its evidence, such as opening and closing dates, so someone else can repeat it.
Worked example: four outlets, two matched periods
In this fictional illustration, revenue is net revenue in INR for two matched periods under one scope. Outlet A traded throughout both periods and moved from 1,00,000 to 1,10,000. Outlet B also traded throughout and moved from 80,000 to 72,000. Outlet C had not opened in the prior period and recorded 50,000 in the current one. Outlet D closed before the current period began, so it moved from 40,000 to 0.
All four outlets stay in the all-outlet totals: 2,20,000 prior and 2,32,000 current, a change of 12,000, or about 5.5% growth. The comparable group, A and B, moved from 1,80,000 to 1,82,000, a change of 2,000, or about 1.1%. In the breakdown, the new outlet adds 50,000 and the closed outlet contributes a decrease of 40,000; continuing outlets contribute the remaining increase of 2,000.
| Fictional outlet | Group | Prior (INR) | Current (INR) | Change (INR) |
|---|---|---|---|---|
| A | Comparable | 1,00,000 | 1,10,000 | +10,000 |
| B | Comparable | 80,000 | 72,000 | −8,000 |
| C | New: not open in prior period | 0 | 50,000 | +50,000 |
| D | Closed: before current period | 40,000 | 0 | −40,000 |
| Comparable total | A + B | 1,80,000 | 1,82,000 | +2,000 (2,000 ÷ 1,80,000 ≈ 1.1%) |
| All outlets | A + B + C + D | 2,20,000 | 2,32,000 | +12,000 (12,000 ÷ 2,20,000 ≈ 5.5%) |
| Bridge | Comparable + new + closed + other | +2,000 + 50,000 − 40,000 + 0 = +12,000 |
Reconcile the bridge, never average percentages
Each group's change is its summed current revenue minus its summed prior revenue. The group changes must add up to the all-outlet change: here 2,000 + 50,000 − 40,000 + 0 = 12,000. A difference calls for checking the roster, scope and calculations. A matching total checks the arithmetic; it does not prove that an outlet was correctly classified or that every outlet was included. Compare both period totals with the corresponding source reports separately.
Do not average outlet growth percentages to describe a group. A rose 10% and B fell 10%, which averages to zero, yet the comparable group grew by 2,000 because A is larger. Growth rates need a positive prior total: the comparable rate requires a positive comparable prior total, and the all-outlet rate requires a positive all-outlet prior total.
Outlets that fit no simple group
Some outlets traded in both periods but fail the eligibility rule, for example after a long temporary closure or a change in trading days. Place them in Other with the recorded reason. Do not force their current revenue to 0 to make them look like a closure, and do not quietly keep them in the comparable group.
Show temporary closures and trading-day differences explicitly in the record rather than adjusting figures by hand. Negative net revenue or accounting restatements that fall outside this simple non-negative model need separate review and an appropriate calculation; do not replace them with 0.
What the bridge does not show
This figure is in nominal currency for one revenue definition. It does not adjust for inflation or exchange rates, and it says nothing about unit demand, profit or why revenue moved. Price, menu mix and opening-hour changes each need their own evidence.
A positive comparable result does not prove that a decision caused it, and it is not a measure of management quality. Treat it as one reconciled view of where revenue change came from.
Keeping the record
Keep a short data dictionary for the revenue definition, periods and currency, and an outlet roster with stable IDs. Record the eligibility rule and the date it was fixed, each outlet's group with evidence, any corrections with who made them and why, and the actions agreed at review. Group membership is a recorded judgement, not an automatic date filter.
How published comparable measures handle eligibility
Starbucks' fourth-quarter fiscal 2025 results report comparable store sales separately from total revenue and footnote which stores count, including the treatment of temporary and permanent closures and currency effects. That historical release illustrates why a comparable measure needs a written definition. Its eligibility and adjustment rules are not applied to this original example and are not a universal standard.
Put it into practice
Your action checklist
Your progress saves in this browser. No sign-up needed.
0 of 8 complete
From reading to doing
Outlet revenue cohort and change bridge
The Sales Cohort Bridge worksheet takes one row per outlet with a unique ID, a group (Comparable, New, Closed or Other), prior and current net revenue, and a reason. It totals each group, reconciles the bridge to the all-outlet change and shows comparable and all-outlet growth when their prior totals are positive. New rows must have prior 0, Closed rows must have current 0, and any missing, text or negative required value withholds all totals. Manual sections hold the data dictionary, outlet roster, eligibility rule, corrections and review actions. It does not classify outlets or approve conclusions.
Open the Sales Cohort Bridge tab in the launch workbook. Keep a copy for your own business.
Download the free workbook See what’s inside the toolkit →Sources & further reading
- Starbucks Reports Q4 and Full Fiscal Year 2025 Results ↗
Published 29 October 2025, retrieved 7 November 2026. Used only to illustrate that a published comparable-store measure states its eligibility and its treatment of closures and currency, separately from total revenue. Its eligibility period and closure policies are not applied to the fictional example, no company figures are reproduced, and nothing here is investment advice or a view of current performance.
Published by Keystonne Grow. Product links connect to the Keystonne ecosystem; check the linked product or service for its current scope.
