Every figure in an Arvo report comes from a deterministic underwriting engine — the same formulas lenders and seasoned investors use — fed by live market data and conservative assumptions. Here's exactly how it works, and where the limits are.
Comparable sales, valuations, rent benchmarks, tax records, and walk scores are pulled live from MLS-backed sources (Zillow, Redfin) plus HUD Fair Market Rent data at the moment you run the analysis.
Comps are screened by distance, recency, size, and property type, then run through IQR (interquartile range) outlier filtering — so one luxury flip or distressed sale down the street doesn't distort your after-repair value. Every comp used is listed in the report; nothing hides behind the number.
ARV = median $/sqft of filtered comps × subject sqftCap rate, cash-on-cash, DSCR, IRR, GRM, break-even occupancy, and max-offer ceilings are computed by a pure math engine using standard real-estate methodology. Run the same inputs twice, get the same answer twice. AI assists with data extraction and repair scoping — it never invents a financial metric.
Cap Rate = NOI ÷ Price · DSCR = NOI ÷ Annual Debt Service8% vacancy, 10% management, maintenance and CapEx reserves baked in from day one. Arvo's defaults are built to keep you out of bad deals, not to make marginal ones look good — and every assumption is visible and editable.
Each analysis includes sensitivity tables (rent, vacancy, interest rate, purchase price) and downside stress scenarios — high vacancy, rate hikes, rent drops, and combined stress — so you know how much cushion a deal really has before you offer.
[PLACEHOLDER — one-line deal story: strategy, purchase date, exit/refi date.]
| Metric | Arvo Estimate | Actual | Variance |
|---|---|---|---|
| After-repair value | $[—] | $[—] | [—]% |
| Repair cost | $[—] | $[—] | [—]% |
| Monthly rent | $[—] | $[—] | [—]% |
| Monthly cash flow | $[—] | $[—] | [—]% |
Walk through a complete analysis — comps, scoring, sensitivity tables and all — no signup required.