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Industries · Multi-location

FP&A for multi-location businesses.

Revenue, labor, and four-wall profit for every location from one governed model. Cube connects the GL, POS, payroll, and scheduling so every site agrees and compares cleanly, and every number traces to the transaction behind it.

Multi-location finance lead standing in a bright modern cafe storefront
Thousands of finance professionals, in every industry, run on Cube
The problem

Every location is its own spreadsheet.

Sales live in the POS, labor in payroll and scheduling, and actuals in the GL, often with each location mapped a little differently. Finance rebuilds location P&Ls by hand while managers wait for their numbers.

Location_PL_Sept_v10.xlsxPOS and payroll exports, matched by handPOS sales ≠ GL revenue by $312K

Locations don’t compare

Accounts map differently by site, so rankings and benchmarks are unreliable.

Labor runs ahead of sales

Scheduling and overtime move faster than the plan.

Managers fly blind

Location leaders get their numbers weeks after the month ends.

Why teams choose Cube

Numbers every location manager trusts.

Every location, comparable

One mapping for every site, so rankings and benchmarks hold up.

Labor against sales

Hours and labor cost against traffic and plan, by location.

New site planning

Openings modeled against capex, ramp, and cash.

Every number opens.

A regional director asks why a site missed. In Cube, it opens to the sales, labor, and expenses behind it.

A glass bar opening into threads that lead to individual locations
Drilldown
Location profit · Q3$1,215.0K
Labor cost$612.0K
Occupancy$398.0K
Jul 06Location 18 · overtime up$184.0K
Jul 08Location 42 · traffic down$96.5K
Jul 09Location 07 · new site, ahead$72.0K
+ 9 more locations
Source: POS, payroll, GL
Workflows

Where finance teams put Cube to work.

Location P&Ls

Revenue, labor, and occupancy by site.

Board deck

Regional and board reports refreshed from the governed model.

Board reporting

Revenue, labor, profit, and cash in one board pack.

Expansion scenarios

New sites modeled against capex, ramp, and cash.

Labor planning

Hours and staffing tied to forecast traffic.

Revenue by region

Each region and format against plan.

One connection

One model for every location.

Cube consolidates GL, POS, payroll, and scheduling data into one governed model, so revenue, labor, and profit are visible by location, region, brand, or format from the same numbers.

Your sources
Where it shows up
ERP / GL
Actuals by location
POS
Labor cost and hours
Payroll
Sales, tickets, and refunds
Scheduling
Occupancy
Location metrics
Four-wall profit, labor %, comps
Board deck
One location ranking
Slack answers
Same governed numbers

One governed model that turns location data into operating intelligence. Locations, regions, and the GL are mapped once, reconciled, and traced to the transaction.

Mapped onceTies to the GL

The location P&L that builds itself.

Sales land from the POS, labor from payroll and scheduling, and actuals from the GL. Cube runs the governed formulas behind every location, and the forecast publishes back to the model.

Behind every cellGoverned formula
Q3 revenue =
Same-location revenueLocations open 12+ months · POS
+ New locationsOpened in the last 12 months · POS
+ Price changesMenu and price list updates · POS
− Closures and refundsClosed sites and refunded tickets · POS
Four-wall profit = location revenue − location labor, occupancy, and operating cost
Watch every location roll up.
Bring last month’s location P&Ls. On the demo, we rebuild them on live data and trace one figure to the transactions behind it.
Where you work

One location model, on every surface.

Cube connects the systems where your data lives to the tools where decisions happen. When a number changes in Cube, it updates in the spreadsheet, the board deck, the dashboard, and the answer in Slack or Claude. Everyone keeps their own view and permissions, and every figure traces back to the transaction.

See the layer running on your stack.
On the demo, we connect a source, publish a number once, and show it land in a spreadsheet, a deck, and chat.
AI Agents

Your digital finance team works while you sleep.

Four FP&Agents handle the always-on work across your data, reports, plans and business partners. Agents scale finance's capacity, while the people remain in control.

Before your first coffee
6:00 AM Actuals synced into your Excel model.
6:04 AM March bookings variance explained in #sales-leads.
6:10 AM Board deck refreshed with the latest numbers.
6:15 AM Q3 forecast rerun on new pipeline data.
9:00 AM CEO asks in Teams what changed. Answered.
Security & governance

Board-ready means audit-ready.

Delivering numbers everywhere only works if access travels with them. In Cube it does, enforced in the layer rather than in each tool.

Security & compliance
Every export, governed.

Every AI feature respects your permissions, and every edit, sync, and publish lands in one audit trail.

SOC 1 & 2
Type 2
Certified
HIPAA
Compliant
Certified
Every edit
Tracked
To the source
Role-based access
CFO, VP and auditor views from one source.
CFO
VP Sales
Permissions on every view
User-level access wherever your numbers show up.
Viewing as David
Marketing$1.24M
Sales
Full audit trail
Who, what, when, before and after.
Maya edited Q3 rent2:14 PM
David approved forecast2:31 PM
SSO
Okta, Microsoft Entra, Google.
Single sign-on enabled
Industry templates

Templates and KPIs built for multi-location businesses.

Start with models, reports, and KPI definitions multi-location finance teams already use, then tailor them to your business. Every KPI runs on governed formulas tied to your GL, POS, payroll, and scheduling data.

Location P&L

Revenue, cost, and margin for every site on one model.

New location model

Build-out cost, ramp, and payback for each opening.

Labor and scheduling plan

Hours, wages, and labor percentage against traffic.

Region and portfolio rollup

Every location rolled up by region and brand.

Multi-location KPI library

12 of 12 KPIs
Same-store sales growthRevenue
Sales change at locations open in both periods.
Revenue per locationRevenue
Average sales per site.
Average ticketRevenue
Revenue divided by transactions.
Transactions per dayOperations
Customer visits or orders per location per day.
Labor as % of salesCost
Wages and benefits relative to location revenue.
Prime costCost
Cost of goods plus labor, as a share of sales.
Occupancy cost as % of salesCost
Rent and facility costs relative to revenue.
Four-wall EBITDAProfitability
Location-level earnings before corporate overhead.
Location-level marginProfitability
Site operating profit as a share of site revenue.
New location paybackGrowth
Months to recover the cost of opening a site.
Ramp to maturityGrowth
Time for a new site to reach mature sales.
Revenue per labor hourOperations
Sales divided by hours worked.

See Cube in action on your own numbers.

Bring last month’s location P&Ls. We connect the GL, POS, and payroll, rebuild them live, and trace a figure to the transactions behind it.

FAQs

Common FP&A questions from multi-location businesses.

What is multi-location FP&A?

Multi-location FP&A plans and reports revenue, labor, and profit for every site, region, and brand. Cube runs it from one governed model across the GL, POS, payroll, and scheduling.

Which location metrics can Cube track?

Same-location sales, four-wall profit, labor as a share of sales, sales per labor hour, occupancy cost, new-site ramp, and cash, by location, region, or brand.

How do you build location P&Ls?

Connect the POS, payroll, and GL to one model and map locations once. Cube allocates shared costs on rules finance owns and builds every location P&L automatically.

What is the best FP&A software for multi-location businesses?

The best FP&A software for multi-location businesses connects the GL, POS, payroll, and scheduling in one model, builds comparable location P&Ls, plans labor against sales, and traces every figure to the transaction. Cube does this as the Agentic FP&A Platform, in the spreadsheets, decks, and chat tools your team already uses.

What should you look for in multi-location FP&A software?

Look for live connections to your accounting, POS, payroll, and scheduling; location P&Ls on one mapping; labor planning; new-site modeling; drilldown to transactions; role-based access by location and region; and audited security such as SOC 1 and SOC 2. 

Can Cube model new location openings?

Yes. Model capex, ramp curves, labor, and occupancy for each new site and compare expansion scenarios against cash.

How do you calculate four-wall profit?

Location revenue minus the costs the location controls: labor, occupancy, and operating expense. Cube calculates it from POS, payroll, and GL data, with the logic visible.

What data does multi-location FP&A need?

GL actuals by location, POS sales, payroll and scheduling, and occupancy costs. Cube connects to hundreds of source systems across accounting, POS, payroll, scheduling, and data warehouses.

How do you forecast location revenue?

Start from same-location trends, add new sites on ramp curves, and adjust for pricing and seasonality. In Cube, each driver is visible and adjustable by scenario.

How often should location numbers update?

Most teams watch sales and labor weekly and close monthly. With Cube, data syncs on the schedule you set, and FP&Agents flag location misses overnight.

Can location managers see only their site?

Yes. Role-based permissions let each manager see their location while finance sees the whole business, in Cube Web, a spreadsheet, Slack, or Teams.

Does Cube work in Excel and Google Sheets?

Yes, on Mac and PC. Teams keep their models in Excel or Google Sheets, with live, governed numbers flowing in and edits publishing back to the model.

Is Cube secure for location financial data?

Cube is SOC 1 and SOC 2 Type 2 audited, with SSO and SAML support, role-based permissions, encryption in transit and at rest, and a full audit trail on every driver, mapping, and plan change.

Still have questions? Bring your location P&Ls.
Start here

What is multi-location FP&A?

Multi-location FP&A plans and reports revenue, labor, and profit for every site, region, and brand.

The data lives in the GL, POS, payroll, and scheduling, so location numbers only compare when they are connected. Cube brings them into one governed model.

Sales

Same-location sales

Growth at sites open 12+ months.

Labor

Labor % of sales

Labor cost against revenue.

Profit

Four-wall profit

What each site earns after its own costs.

Growth

New site planning

How fast new locations reach plan.

Why multi-location FP&A matters

Results vary by site, and small gaps add up across hundreds of locations. Staffing, pricing, and expansion decisions depend on location numbers that are current and comparable.

How to build a multi-location operating plan

The same five steps apply whether the forecast lives in a spreadsheet or in Cube.

  1. 1.
    Connect the sources. GL, POS, payroll, and scheduling in one model.
  2. 2.
    Map every location. One structure for sites, regions, and brands.
  3. 3.
    Forecast sales. From same-location trends and new-site ramps.
  4. 4.
    Plan labor. Hours and staffing tied to forecast sales.
  5. 5.
    Run scenarios. Test wages, pricing, and expansion against cash.

Key location metrics

Revenue
Growth from sites open 12+ months.
Four-wall profit
Location revenue minus location costs.
Labor % of sales
Labor cost as a share of revenue.
Sales per labor hour
Revenue divided by hours worked.
Occupancy cost %
Rent and occupancy as a share of sales.
New-site ramp
Months for a new site to reach plan.

Manual spreadsheet vs. Cube

Step Manual spreadsheet With Cube
Gather the data Export the POS, payroll, and GL, then match by hand. Sources stay connected; actuals land in the model mapped and consolidated.
Allocate shared costs An allocation tab, updated monthly. Allocated on governed rules.
Answer a manager Rebuild their P&L and email it. Drill in the meeting, or ask in Slack.
Catch a location miss Find out at month-end. FP&Agents flag it overnight.
Defend a number Trace it through pasted tabs and hope the trail holds. Drill from the figure to the source transactions.