This is the core problem with getting a mortgage on a short-term rental: which income figure the lender starts from. With booking history, the lender uses the actual history. With no booking history, the lender uses the appraiser's long-term market rent or an AirDNA-style projection, and which one is lender-dependent. For a beach house or mountain cabin that earns $4,800/month on Airbnb, the long-term market rent might be $1,600, and a file qualified on that number comes back with a much lower loan amount than the property's short-term income would support.
Which number a lender uses is the whole deal, and the two situations below work through how a program turns short-term rental revenue into a qualifying figure. Programs also differ on how they treat a projection: some apply an income factor to it, and some require the long-term market rent instead.
Matching the file to a program that counts STR income
An AirDNA-style projection aggregates real Airbnb and VRBO booking data — nightly rates, occupancy rates, and seasonal patterns — for comparable properties in your specific market. That figure reflects what comparable listings earn as an Airbnb, not what a long-term tenant would pay. On a program that uses it, the DSCR can come out substantially stronger than on long-term market rent in a vacation market, which can change the loan amount. On a program that requires the long-term market rent, that is the number the file runs on. Which program a file goes to is part of structuring the deal.