Location-level P&L without leaving QuickBooks. Same-store vs new-store breakouts. Margin drift detection on every unit, every week. The diagnostic layer your accountant doesn't have to learn — for the CEO and CFO who need answers between closes.
QuickBooks treats class and location as tags bolted onto a single-tenant ledger. The rollup happens in Sheets. Here it happens in the diagnostic layer — without disturbing your accountant's workflow. The bookkeeper keeps booking to QBO classes the way they always have. The CEO and CFO get the location-aware P&L on top.
Two reports do most of the work: the Location Profitability Summary gives one row per location with Revenue, Cost, Gross Profit, Operating Income, Net Income, plus optional variance against any comparison period. The P&L by Location pivots locations as columns and account subtypes as rows. Both export to CSV / XLSX / PDF.
Margin drift is hard to see in a monthly close. A 60bp slip per month for six months looks like noise on any single P&L; it's a 360bp leak by year-end. Anomaly detection running weekly on unit-level metrics catches the drift in week three, not December.
Each location's prime cost, food cost, labor ratio, and average ticket are watched against the location's own 12-month envelope. A 2σ move triggers a finding. The high-severity findings hit the CEO's dashboard before they hit the close.
Houston Heights runs leaner than Austin East Side — that's known. We don't measure each unit against a network average. We measure each unit against its own twelve-month envelope. The detection is sensitive to deviation, not to absolute level.
"Labor at Houston Heights is +3.6σ above trailing 12 months. Driven by a 12% headcount increase that began March 1. Revenue lift has not yet materialized at the expected ratio." The CEO gets an answer, not just a number.
The headline number — "network revenue up 8.4% YoY" — can be most of the story or most of the lie depending on the underlying mix. The platform decomposes it for you: same-store comparable growth, new-store contribution, ramp drag from underperforming new units. Each component drills to the contributing locations.
For unit-level capital allocation decisions — should we open more locations like Plano? are the newer Heights-class units ramping fast enough? — the decomposition is the whole game. The CEO needs to see what's same-store and what's new-store before deciding what to do next.
You don't need to replace QuickBooks to get location-level diagnostics. You don't need a six-month NetSuite implementation to get unit economics. You connect via OAuth, and the layer above your books does the work your accountant has been doing in Sheets — in real time, on real data.
Connect your books in an afternoon. See the diagnostics and the first scenarios on your real data, the same week. No implementation fees, no six-month rollout, no SOW.