Real Estate Portfolio Analysis Without Spreadsheets (Cap Rate, CoC, IRR)

Cap rate, cash-on-cash, NOI, DSCR, IRR — the numbers that decide whether a deal works. Here's how to compute them across a whole portfolio fast.

The 5 numbers every deal lives or dies on

• NOI (Net Operating Income): gross rent minus operating expenses (excluding mortgage). The foundation of every other metric.
• Cap rate: NOI ÷ purchase price. Compares deals independent of financing.
• Cash-on-cash return: annual pre-tax cash flow ÷ total cash invested. Your actual return on the money you put in.
• DSCR (Debt Service Coverage Ratio): NOI ÷ annual debt service. Lenders want 1.25+.
• IRR (Internal Rate of Return): the time-weighted return across the full hold including sale. The number that compares deals with different timelines.

Why spreadsheets break here

Real estate models chain dozens of assumptions — vacancy, rent growth, expense ratios, refinance, exit cap. One broken cell reference silently corrupts the whole model. And building one per property doesn't scale past a handful of doors.

The portfolio view

The harder question isn't 'is this one deal good' — it's 'which of my 14 properties is underperforming.' That needs every property on the same metrics, side by side, refreshed monthly. Spreadsheets make that a manual chore.

How Talon does it

Upload a CSV with one row per property (rent, expenses, purchase price, loan terms) and ask: "Compute cap rate, cash-on-cash, NOI and DSCR for every property and rank by cash-on-cash return."

Talon's Real Estate Analyst runs the deterministic Metric Pack across the whole portfolio, flags any property with DSCR below 1.25, and charts cash flow trends. Re-run it monthly with one click.

Bottom line

For single-deal underwriting, a spreadsheet is fine. For an ongoing portfolio, AI analysis keeps every property on the same metrics without the maintenance burden.