Workflow Guide

CAM Budget-to-Actual Variance Workflow

Why your CAM estimates are always wrong — and how to fix it systematically

CAM estimates are set at the start of each year based on projected operating expenses. At year-end, the reconciliation reveals how close estimates were to actuals. Persistent variance — consistently over or under — indicates a systematic estimation problem that compounds tenant relationships and billing accuracy.

Step-by-Step Process (4 steps)

1

Calculate Variance by Expense Category

January–February

Compare actual expenses to budgeted expenses at the GL account level, not just total CAM. Break out variance by: utilities, maintenance, insurance, property taxes, management fees, and any other significant categories. Category-level analysis reveals where the estimates went wrong.

Common errors at this step:

  • Analyzing only total CAM variance — masks offsetting errors in individual categories
  • Comparing to the wrong prior year — use the actual year being reconciled, not a prior year
2

Identify Systematic vs. One-Time Variance

February

Separate variance into: systematic (same category misses year after year — your estimate methodology is wrong) and one-time (unexpected events — hurricane, major capital project, insurance renewal). Systematic variance needs a methodology fix. One-time variance gets documented as explanation.

Common errors at this step:

  • Treating systematic variance as one-time — the problem recurs next year
  • Not documenting one-time events — tenant auditors question large unexplained expenses
3

Update Estimate Methodology

Q3 (for next-year estimates)

For categories with systematic variance, update the estimation methodology: use 3-year average actuals instead of prior-year actuals, apply inflation factors for utility contracts, use contract amounts for fixed-cost categories instead of historical trends.

Common errors at this step:

  • Not updating methodology until Q4 — not enough time to collect inputs
  • Using global inflation factor for all categories — contract-based expenses don't track CPI
4

Model Next-Year Estimates

Q3–Q4

Build next-year CAM estimates from the bottom up: known contracts (maintenance, security), prior-year actuals with trend factors (utilities, janitorial), and contingency reserves. Generate tenant estimate letters based on these projections.

Common errors at this step:

  • Estimate letters sent before expense projections are finalized
  • Estimate letter amounts don't reconcile to the building-level projection — controller and accounting used different numbers

Timeline

Variance analysis: completed during Q1 reconciliation. Estimate methodology update: Q2–Q3. New-year estimate letters: Q3–Q4 for the following year.

Where CapVeri Fits

CapVeri produces category-level variance reports that compare budgeted to actual expenses at the GL account level. After reconciliation, the same data drives next-year estimate letter generation — estimates built from the same actual expense data that drove the reconciliation.

Automate the Most Error-Prone Steps

Export your GL data and upload to CapVeri. Independent recalculation of every tenant's reconciliation — with errors flagged before statements go out. First audit is always free.

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