Key takeaways
- Buyers of multi-location businesses immediately disaggregate performance by location. If you have not done this yourself, their analysis will be the first time you see the data clearly.
- A single underperforming location can disproportionately affect EBITDA and valuation if it is dragging the portfolio average downward.
- Consistent reporting formats across all locations are more important than sophisticated metrics. A buyer cannot compare locations that track different KPIs or use different cost allocation methods.
- Locations that have been subsidized by cross-allocation from high-performing units need to be identified and addressed before a sale.
- The goal of benchmarking is not to punish underperformers but to document the improvement pathway. Buyers pay more for businesses that know their problems and have a plan.
15–25%
Typical performance gap between best and worst location in a middle market multi-unit business
$800K–$2M
Estimated valuation impact of one significantly underperforming location in a 5-unit company
30–45 days
Typical time for a buyer's diligence team to complete location-level performance analysis
6 months
Minimum time to show meaningful improvement in an underperforming location before a sale
A single-location business has one P&L. A company with five branches, or twelve franchise locations, or eight regional service depots has five, twelve, or eight separate performance stories, each of which a buyer will analyze individually.
The founder who runs a multi-location business typically knows intuitively which locations perform well and which struggle. What they rarely have is a consistent, side-by-side comparison with a clear methodology for allocating shared costs and a documented explanation for the gaps. That is what buyers build during diligence.
What buyers look for in multi-location analysis
When a buyer receives a multi-location financial data room, their first step is to build a location-level P&L matrix. That matrix compares each location on the same metrics, using the same cost allocation method, across the same time periods.
The six metrics buyers compare across every location
1. Revenue per location
Absolute revenue and revenue growth rate. Locations that are shrinking while others grow are flagged for diligence.
2. Gross margin by location
Before any corporate overhead allocation. This shows whether the location's core economics, labor, materials, and direct costs, are healthy or impaired.
3. EBITDA margin by location
After a consistent overhead allocation. The allocation method matters: if overhead is allocated proportionally to revenue, a large but low-margin location carries more overhead than it may be able to absorb.
4. Revenue per employee by location
A proxy for productivity and pricing power. Low revenue per employee can indicate excessive headcount, below-market pricing, or a mix of lower-value work.
5. Customer concentration by location
A location that depends on one or two customers for 60%+ of its revenue is a different risk profile than a diversified location with 50 customers.
6. Trailing 24-month trend
Buyers care about direction as much as current level. A location improving from 12% to 18% EBITDA margin is valued differently than a location declining from 18% to 12%.
If you do not have location-level P&Ls with consistent cost allocations for the last 24 months, building them is the highest-leverage financial reporting improvement you can make before a sale. Buyers will build this analysis themselves if you do not provide it, and their assumptions will be less favorable than yours.
Common cost allocation mistakes in multi-location reporting
The most common problem in multi-location reporting is inconsistent cost allocation methodology. If location A absorbs corporate overhead based on headcount and location B absorbs it based on revenue, the reported margins are not comparable.
The correct approach is to define an allocation methodology once, document it, and apply it consistently to every location for every period in the review window. The most common allocation methods are:
Allocation methods and when to use them
Revenue-based allocation
Most common; easiest to explain. Allocate overhead proportionally to each location's share of total revenue. Works well when locations have similar business models.
Headcount-based allocation
Better for service businesses where overhead, particularly HR, benefits, and training, scales with people rather than revenue.
Direct cost-based allocation
Allocate based on each location's share of direct costs. Useful when locations have very different labor and material intensities.
Activity-based allocation
Most accurate but most complex. Allocate overhead line-by-line based on actual consumption. Appropriate for locations with significantly different service mixes.
Whichever method you use, apply it to the full historical period you will present in the data room. A methodology change mid-period creates comparability issues that a buyer will flag.
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Schedule a conversation →How to handle underperforming locations in a sale
An underperforming location discovered by a buyer in diligence is a negotiating point. The same underperforming location, identified by the founder with a documented remediation plan, is a different conversation.
The general principle: buyers who find problems are less confident than buyers who are told about problems and presented with a plan. The same dollar of underperformance costs more in valuation when it is a surprise than when it is part of a prepared narrative.
Building a benchmarking cadence before a sale
A benchmarking cadence is a monthly review where location-level performance is presented to management in a standardized format. The goal is not to create a bureaucratic reporting burden but to develop the consistent data set that will support a sale process.
The minimum cadence for a multi-location business targeting a sale in the next 18 months:
Monthly location benchmarking requirements
Revenue and gross margin by location
Current month vs. prior month vs. same month prior year; variance explanation required for any location deviating more than 10%
Headcount and revenue per employee
Monthly; flag any location adding headcount without corresponding revenue growth
Customer retention by location
Monthly; flag any customer representing more than 15% of a single location's revenue that has shown reduced activity
EBITDA margin by location
Monthly; allocated consistently; trend line for last 12 months
Quarterly deep-dive on bottom-quartile location
Rotate the quarterly deep-dive to the consistently weakest location; present root cause and remediation progress
Work with Glacier Lake Partners
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Start a Conversation →Research sources
Disclaimer: Financial figures and case studies in this article are illustrative, based on representative middle market assumptions, and are not guarantees of outcome. Statistical references are drawn from cited third-party research; individual transaction and operational results vary based on business characteristics, market conditions, and deal structure. This content is for informational purposes only and does not constitute legal, financial, or investment advice. Consult qualified advisors for guidance specific to your situation.
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