AirDNA vs. the Appraisal: Why the Appraiser’s Short-Term Rental Schedule Sizes Your Loan, Not Your Projection

You pull an AirDNA report on a three-bedroom short-term rental in a Gulf Coast market. It projects $4,500 a month in gross revenue, built off the top-quartile comps in the submarket. You run the DSCR math off that number, size the loan accordingly, and go to contract. Three weeks later the appraisal comes back with a short-term rental income schedule showing $3,200 a month — and the loan gets sized off that figure, not the one you opened the file with.

This isn’t a mistake on the appraiser’s part, and it isn’t AirDNA being wrong either. They’re answering different questions. AirDNA (or Key Data, or Rabbu) is a market-research tool built to help an investor shop for a property and estimate what it might earn under favorable assumptions. The appraiser’s short-term rental schedule is an underwriting document built to support a loan amount a lender can defend if the deal goes sideways. The second one wins, every time, because it’s the one in the file.

What AirDNA Actually Tells You

AirDNA-style tools aggregate booking and pricing data across a market and let you filter by bedroom count, amenities and comp set. They’re genuinely useful for deciding whether a market is worth pursuing. What they don’t do is apply a vacancy factor, discount for a slow season you haven’t lived through yet, or get reviewed by anyone with underwriting authority. A projection built from the top of a comp set, with no haircut for the months bookings actually fall off, is a ceiling — not the number a lender will lend against.

The Appraiser’s Short-Term Rental Income Schedule

For a DSCR loan on a short-term rental, our lending partners order a dedicated short-term rental income schedule as part of the appraisal, separate from the standard long-term rent survey. The appraiser pulls a set of active, comparable nightly-rental listings in the same submarket, calculates an average daily rate and occupancy, and derives a monthly gross figure from trailing data rather than a forward-looking model.

The guideline our underwriters work from requires at least four active, comparable listings in the same submarket, each with a minimum of six months of pricing history, before that schedule can stand on its own. Where a market doesn’t have that much established short-term rental history — a submarket where short-term rentals were only recently permitted, for example — the appraiser blends the available STR comps with a long-term rent survey and applies a discount, rather than defaulting to a platform’s forward projection. That’s a meaningfully different approach than the trailing-12-month averaging used once a market is established, and it’s specific to how short-term income gets appraised — it isn’t how a mid-term or long-term rental’s income gets verified on a DSCR file.

The Arithmetic

Here’s how the gap in the opening example plays out at the underwriting desk:

That 1.20x clears most DSCR programs without issue. The problem only shows up if the borrower sized the requested loan amount off the $4,500 AirDNA figure instead of the $2,400 the file will actually support — at that point the gap isn’t a reporting quirk, it’s a loan amount that has to come down, or a DSCR that drops into a lower-leverage tier. A DSCR loan can qualify as low as 0.75x on this program, but that floor comes with a leverage cut, not a free pass on the shortfall.

Seasonality Doesn’t Average Out the Way You’d Expect

A trailing-12-month comp set is supposed to smooth out seasonality, but it only works if the property has been operating as a short-term rental for that long. A beach or ski-town acquisition made mid-season often has three or four months of strong actual bookings and nothing from the slow months — which is exactly when the appraiser’s comp-based schedule, not the owner’s own early numbers, does the real work. Once you have a genuine trailing 12 months of your own platform data, that actual history can support a refinance at a figure the original appraisal never saw.

What to Do When the Appraisal Comes in Below Your Projection

Lock your rate before the appraisal is ordered, not after, so a lower income figure doesn’t also land you a worse rate on top of a smaller loan. If you believe the appraiser’s comp set missed genuinely comparable listings — wrong bedroom count, wrong amenity tier, wrong sub-neighborhood — raise it the same way you’d request a reconsideration of value on a purchase-money appraisal, with your own comps attached, not just a louder AirDNA export. And size your offer, from the start, off a conservative in-house estimate rather than the platform’s best-case number.

When This Is the Wrong Call

If a deal only works at the AirDNA number and falls apart at anything close to a trailing-comp appraisal, that’s not an appraisal problem — it’s a deal that was underwritten to a ceiling instead of a floor. That’s especially true in a market without 12 months of established short-term data behind it, where the appraiser is already blending in a long-term-rent discount. In that situation, either resize the ask before you’re under contract, hold the property as a long-term rental until you’ve built real STR history to refinance against, or walk. Forcing the number after the appraisal lands is how a borrower ends up re-trading their own purchase.

Easy Lending USA matches short-term rental deals with lending partners underwriting on exactly this basis — see current short-term rental loan parameters, or get your specific numbers checked against the file before you make an offer at Airbnb & short-term rental loans — check your deal. For how lenders treat short-term income on the DSCR calculation itself, see short-term rentals under DSCR, and current indicative pricing is on the rates page. All figures above are indicative and subject to underwriting.