Cube vs. Mosaic for Rolling Up Multi-Unit Franchise P&Ls

Royalty and marketing fund contributions are usually calculated as a fixed percentage of each unit's gross revenue, which means they scale predictably with unit performance, but a model that estimates them as one company-wide blended cost rather than calculating them per individual unit will drift noticeably out of sync as units perform differently from each other.

Calculate royalty and marketing fund obligations at the unit level and roll them up from there, so the forecast reflects exactly what's owed to the franchisor rather than an approximation that a strong or weak unit quietly throws off.

A unit that opened five years ago in an established market will naturally show different revenue and margin patterns than one opened last year in a newer territory, and comparing them on raw numbers alone can make a genuinely well-run new unit look like it's underperforming a mature one. Track units against their own opening-vintage cohort and local market conditions rather than a single company-wide benchmark applied uniformly.

This matters most when deciding where to invest additional marketing spend or management attention, since a new unit tracking ahead of its own cohort's ramp curve deserves a different response than one that's genuinely falling behind.

If your team already rolls up unit-level P&Ls, royalty calculations, and regional manager costs in a spreadsheet, Cube's approach of syncing that spreadsheet against each unit's point-of-sale and accounting data keeps the consolidation logic where it's understood, with less manual export from each location every month.

This is the more natural fit for an operator running a modest unit count where one person can still reasonably own the full consolidation and just wants the monthly data pull automated rather than handed to a new interface.

Once you're running enough units that a spreadsheet roll-up becomes a real monthly time cost, a dashboard consolidating unit-level performance, royalty obligations, and regional manager cost allocation can help ownership see the picture without a manual rebuild. Confirm in a demo that Mosaic can track each unit's royalty and marketing fund calculation individually rather than as one blended company-wide percentage.

A consolidated dashboard also makes it easier to spot a unit whose performance has quietly diverged from its cohort well before the annual review, which matters when the franchisor itself may also be watching unit-level performance closely.

A regional manager typically oversees a handful of units but doesn't spend equal time on each one, a struggling unit usually gets more attention than a stable one, so allocating that manager's cost as a flat per-unit charge understates the true cost of supporting weaker units. National wage data puts the median annual pay for general and operations managers at $105,770¹, a useful reference point when budgeting for a regional manager hire, though your actual offer should reflect local market conditions, candidate experience, and the specific scope of the territory being managed.

Weighting cost allocation by actual time spent, even roughly estimated, gives a noticeably more honest and useful read on which units are truly self-sufficient and which are consuming disproportionate management attention relative to their revenue.

Before you pick a tool, confirm your model does the following:

• Calculates royalty and marketing fund fees at the unit level and rolls them up, instead of applying one blended company-wide percentage.
• Compares each unit against its own opening-vintage cohort and local market conditions, not against a single company-wide average.
• Allocates regional manager cost by the attention each unit actually needs, since a struggling unit takes more time than a stable one.
• Keeps unit-level detail visible after consolidation so ownership can see which locations drive results.
• Lets you test whether existing regional management capacity can absorb another location before you add a unit.

Jirav's driver-based approach is useful when you're deciding whether to open another unit or add a regional manager to cover a growing territory, since that decision should be tested against realistic new-unit ramp-up time and against whether existing regional management capacity can actually absorb another location.

An operator who keeps adding units without adding proportional regional management capacity tends to see the newest units ramp more slowly than earlier ones did, since an overstretched regional manager naturally has less available time to give a brand-new location the hands-on attention it genuinely needs during its critical early months.