Almost every failed short-term rental purchase can be traced to a revenue projection that was wrong in a specific, predictable way. Usually the buyer annualized a peak month, trusted the seller's proforma, or built an expense stack missing three or four real lines.
Start with comparables, not with an estimate tool
Third-party estimate tools are useful for screening and unreliable for underwriting. They work from broad submarket averages and cannot see the specific factors that decide whether a property performs: the amenity gap against its true competitive set, drive time to the demand anchor, whether the view is real, and whether the road is passable in February.
Build the projection from a comparable set you assemble yourself. Twelve to twenty listings, same submarket, same bedroom count, same amenity tier. Pull their actual booked nights and rates across a full twelve months, not a peak quarter.
The most common error in comparable selection is including properties that are not actually competitive. A nine-bedroom lodge with a mountain view and a game room is not a comparable for a four-bedroom cabin without a hot tub, even if they are two miles apart and both described as Smoky Mountain cabins.
Treat any proforma supplied by a seller or listing agent as a marketing document. They are routinely built by extrapolating peak-season rates across twelve months, which produces a revenue figure the property will never reach.
Seasonality is the whole model
Revenue is not a monthly average. It is a shape, and the shape differs completely by market. Model twelve individual months and never divide an annual figure by twelve.
| Market type | Peak | Trough | Trap |
|---|---|---|---|
| Smokies cabin | June to October, holidays | January to March | Annualizing a June figure |
| Gulf beach | March to August | November to January | Ignoring hurricane disruption |
| Southwest Florida | January to March | July to September | Assuming a summer season exists |
| Desert | October to April | June to August | Same as above, inverted |
| Ski | December to March, plus summer | Shoulder months | Modeling an average snow year |
| Lake, no second driver | Memorial Day to Labor Day | The other 38 weeks | Pricing on a July rate |
| Permitted city | Flat with event spikes | Mild | Missing compression nights |
Victoria's nine-bedroom Sevierville cabin produced roughly $20,000 of cash flow in June. That is a real number and it is not one twelfth of an annual figure. Antonio's Fort Myers six-bedroom produced roughly $17,000 in February for the same reason in the opposite direction. Both models were built on the shape of their market, not on a monthly average.
The complete expense stack
Most amateur projections include mortgage, cleaning and management, and stop. The lines below are the ones that turn a projected 12% cash-on-cash return into an actual 4%.
- Debt service. Principal and interest at the actual rate you will get, not today's advertised rate.
- Property tax. Reassessed at your purchase price, not the seller's assessed value. This catches many buyers.
- Insurance. Quoted for the specific address, with wind and flood where applicable. Coastal insurance has repriced sharply.
- Management. All-in, including cleaning markups and coordination fees.
- Cleaning. Net of what guests pay, since the guest-facing cleaning fee rarely covers the true cost.
- Utilities. At rental-use levels, not owner-use levels. Guests do not conserve.
- Internet, streaming, monitoring, software. Small individually, meaningful together.
- Supplies and consumables. Ongoing, not just the initial stock.
- Association dues. Including the assessment risk in coastal and resort communities.
- Maintenance reserve. 1 to 2% of property value annually.
- Capital expenditure reserve. Roof, HVAC, appliances, and the furnishing refresh cycle.
- Permits, licenses, lodging tax compliance. Market dependent and sometimes substantial.
- Vacancy and platform fees. Built into the revenue side, but verify they actually are.
Stress tests that matter
A projection that only works in the base case is not a projection, it is a hope. Run the property against each of these and confirm it still services its debt.
- Revenue at 75% of projection. The single most useful test. New listings routinely underperform in year one while reviews accumulate.
- A disrupted peak season. A named storm, a wildfire, a bad snow year, or a road closure. Three lost peak weeks is not an exotic scenario.
- Insurance repricing. Model a renewal 40% higher, which is not hypothetical on the Gulf Coast.
- A regulatory tightening. For city and California desert properties, model the long-term rental floor.
- A rate environment where you cannot refinance. If the plan depends on refinancing in two years, the plan has a dependency, not a strategy.
We screen roughly a thousand deals a week and eliminate about 98% of them, and the majority of eliminations happen at exactly this stage. The property looks fine in the base case and fails the stress test.
What good looks like
A defensible projection has twelve distinct monthly revenue figures derived from a comparable set you assembled, a complete expense stack including reserves, and a stress-tested downside that still covers debt service. It should be a spreadsheet you can defend line by line, not a summary number.
It should also be honest about the difference between cash flow and total return. A property producing modest cash flow while amortizing debt, appreciating, and generating a large first-year depreciation deduction against W-2 income can be an excellent investment even if the cash-on-cash number alone looks unremarkable. Judging a short-term rental on cash flow alone misses most of what makes the strategy work for high earners.
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Frequently asked questions
How accurate are AirDNA and similar revenue estimates?
Useful for screening, unreliable for underwriting. They work from broad submarket averages and cannot see the amenity gap against a property's true competitive set, drive time to the demand anchor, or whether a claimed view is real. Build the projection from comparables you select yourself.
Should I trust a seller's proforma?
No. Treat it as a marketing document. Seller proformas are routinely built by extrapolating peak-season rates across twelve months, producing a revenue figure the property will never reach.
What expenses do most Airbnb projections leave out?
Property tax reassessed at the purchase price, insurance quoted for the actual address, utilities at rental-use levels, association assessment risk, a maintenance reserve of 1 to 2% of value, a capital expenditure reserve, and the furnishing refresh cycle.
What is a reasonable stress test for a short-term rental?
Revenue at 75% of projection, a disrupted peak season of about three weeks, an insurance renewal 40% higher, and for city properties the long-term rental floor. If the property still services its debt under those, the projection is defensible.