Investor Analysis: run the numbers on a rental
Investor Analysis turns a property plus a set of assumptions into a full return picture: cash flow, cap rate, cash-on-cash, DSCR, a 10-year pro forma, and a sensitivity grid.
Build one
- Open Investor Analysis under Properties in the sidebar.
- Enter the property: address, beds, baths, square footage, property type.
- Leave the assumptions blank to start. REHL fills each one with a documented default and tells you which numbers it defaulted.
- Press generate, then edit any assumption and recompute as many times as you like.
- Download the PDF when the numbers are right.
What it computes
- Financing: down payment, loan amount, monthly principal and interest, total cash invested.
- Year one: gross rent, vacancy loss, management, maintenance and capital reserve, taxes, insurance, HOA, net operating income, and monthly cash flow.
- Headline numbers: cap rate, cash-on-cash, DSCR, gross rent multiplier, the 1% rule, and break-even occupancy.
- A 5 and 10 year pro forma with total returns.
- A sensitivity grid that moves rent and interest rate together so you can see what breaks the deal.
- A REHL AI investment thesis in plain English.
Read this before you show a rent figure to a client
REHL has no rental data. The MLS feed is sale-only: there are no rental listings, no rent column, and no leased status, and REHL does not scrape Airbnb, Vrbo, or Zillow. So the rent in this report is never an observed rent.
- The default long-term rent is a rule of thumb: 0.7% of the purchase price per month. It is deliberately conservative rather than the aggressive 1% rule, because an inflated default would flatter every deal.
- The short-term-rental daily rate and occupancy, when you switch that scenario on, start from a REHL AI estimate grounded in whichever of these are actually available for that property: local sold comps, the property's own attributes, location data, and a seasonality note for coastal Florida. With no sold comps or none of those signals, the estimate leans on a premium model plus attributes instead, with a plain 55% occupancy fallback. The report labels it a REHL AI estimate and names only the signals it actually used.
- Nothing here is booking data. There is a slot for a licensed short-term-rental data vendor, but no vendor is connected today, so no figure in this report is verified market data.
Type a real rent the moment you have one. Every number downstream (cash flow, cap rate, cash-on-cash, DSCR, the pro forma) is computed from it, so replacing the estimate is the single highest-value edit you can make.
Where does the purchase price come from?
Whatever you type wins, so you can model an offer above or below asking. If you leave it blank, REHL uses the midpoint of the most recent TrueValue CMA for that same address in your brokerage. If there is no CMA either, the report still renders and waits for you to fill the price in.
What are the default assumptions?
25% down, 7% interest over 30 years, 5% vacancy, 8% property management, 8% maintenance and capital reserve, property taxes at 1.1% of price, insurance at 0.5% of price, closing costs at 2%, and 3% a year for both appreciation and rent growth. They are national ballparks for a single-family buy and hold, not local figures. Override anything that does not match your market.
Who is allowed to run one?
The same TrueValue & Investor Analysis permission as TrueValue. Edit to generate or recompute, Read to open an existing analysis, None to block both.
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