Best ARGUS Alternative Software for Commercial Real Estate Teams

Recoveries are not a per-tenant calculation. They are a building-level calculation that resolves per tenant, and the building-level piece moves with occupancy, which moves with your rollover assumptions. Model it tenant by tenant and it drifts, usually in the years after your first rollover.

The structures that cause it are ordinary, not rare. Base year stops. Expense caps that may be cumulative or not, compounding or not. Gross-ups to 95 or 100 percent occupancy. A pro rata denominator that might be occupied square feet, total square feet, or rentable building area depending on the lease. An admin fee on CAM with category carve-outs. In retail, anchor GLA excluded from the pool, percentage rent with a natural breakpoint, and co-tenancy clauses that abate rent conditionally. In multifamily, RUBS. In mixed use, two or three of these regimes running against one expense pool that has to be allocated between components before any tenant's share can be calculated.

Then there is the arithmetic nobody checks. Mid-month versus whole-month conventions. Rent in arrears versus in advance. Stub periods. Day count on floating debt. A refinance sized off projected NOI is circular, because proceeds depend on value, value depends on NOI, and the new debt service changes the cash flow you are valuing. Most hand-built models hardcode the proceeds. Tax reassessment at sale is frequently left out entirely.

Equity distributions are the worst of it, because they are circular by construction. The promote depends on LP IRR, which depends on distributions, which depend on the promote. Add multi-tier hurdles, GP catch-up, cumulative versus simple pref, return of capital ordering, and mid-hold capital calls that reset the clock. A recovery error shows up as an NOI that looks slightly odd. A waterfall error shows up as an investor receiving the wrong amount.

You do not build the model once. The seller sends a revised rent roll. You re-bid three times. The lender changes terms in diligence. Changing an input is fast. Rewiring a bespoke model is not, and nobody counts that time when they estimate how long the build took.

Sensitivity is where it gets slow. Fifty combinations of rent growth and exit cap, a downside case, a break-even. Data tables on a complex workbook are fragile and slow, and comparing scenarios side by side usually means more workbooks. Then the version problem: which file went to the lender, who changed the exit cap, and what two people editing on Tuesday did to each other's work.

A seven-year hold means seven years of reporting. The analyst who built the model leaves in year two, and someone maintains a workbook they did not build for the remaining five. This is the failure most people have actually lived through and the one least likely to appear in a build estimate.

And there is the question of who carries the error. When the model is yours alone, every mistake in it is yours alone. "The tool generated it" is not an answer to an investor, a lender, or an insurer. What ARGUS actually sells is not the math. It is that when a lender or appraiser gets the file, they do not have to audit the model before they can trust the output. Institutions do not buy software because it is better than a smart person with a spreadsheet. They buy it because it is defensible.