The Quick Read: An AirDNA projection is a comp-based estimate of what a typical nearby operator earns, so it works as a starting point for a condotel STR loan, but lenders usually discount it, and it often overstates what an owner in a hotel-run rental program actually receives.
- The projection models a hypothetical host using similar listings. It does not record what your unit earned.
- It measures gross revenue. It is not net operating income, and it is not cash flow.
- In a rental pool, the owner gets a share of revenue, so the projection can miss the owner’s real take by a wide margin.
- On a short-term-rental purchase, the strongest files across the network reach 75% LTV, with a 640 minimum score and a 1.00 coverage floor, subject to lender guidelines.
- If a unit has operating history, the operator’s statements of what the owner was actually paid are usually the stronger document.
What Does an AirDNA Projection Actually Measure?
It measures what similar nearby listings have earned, then applies that to a unit that may never have been rented. AirDNA’s Rentalizer help article says the tool searches a 10-mile radius. It picks comps by distance and by matching bedroom, bathroom, and guest-count setup. The result is a weighted average of those comps’ revenue, ADR, and occupancy.
Read that carefully. The output describes a model operator, not your building.
AirDNA’s revenue methodology page explains what “revenue” means. It is nightly rates plus cleaning fees, less discounts and platform service fees. Other host costs are not deducted. Supplies, utilities, management, HOA dues, and repairs never enter the figure. That makes it a top-line number.
Brokers see the same mistake over and over. A buyer treats the projection as the unit’s income. Underwriters treat it as an input that needs a discount and a cross-check.
The tool also grades itself. Each Rentalizer report carries a Comp Set Strength score of Low, Medium, or High. It reflects how many similar properties are nearby, how closely they match, and how tightly their revenue clusters. A Low score on a condotel is a warning that the comps do not resemble your unit.
Why Does a Condotel Strain the Model?
A condotel’s income is shaped by building rules that independent Airbnb-style comps never see. The comp set reflects hosts who set their own prices, keep all the revenue, and use the unit when they like. A condotel owner often has none of those freedoms.
Typical condotel flags include hotel or resort naming, a required rental pool or management agreement, owner-use limits, a revenue split with the operator, and very small units. Each flag moves the real income away from the projection.
The split is the biggest gap. LegalClarity’s condotel explainer says a stated 50/50 split often works out to roughly 40% to 46% of gross once booking, card, and reservation-system costs come off the top. A projection built on independent comps does not apply that haircut. It also ignores owner blackout dates and fee charge-backs.
HOA dues add a second squeeze. Resort buildings often carry high dues, and those dues sit in the PITIA, which is the monthly principal, interest, taxes, insurance, and association dues the loan ratio divides by. The projection is bigger than the owner’s income, and the denominator is heavier than a typical condo’s.
Short-term rental rules can vary by city, county, HOA, and property type, so investors should confirm local rules before relying on projected rental income.
Key Terms Defined
DSCR (debt service coverage ratio): Qualifying monthly income divided by the monthly PITIA. A result of 1.00 means income equals the payment.
Condotel: A condo unit in a building run like a hotel, usually with a rental program, a management company, or resort licensing.
Non-warrantable condo: A condo project that falls outside standard agency rules, often because of hotel operations or heavy rental use. Condotels usually land here.
Haircut: The discount a lender applies to gross short-term-rental revenue before running the ratio.
Rental pool: An arrangement where all participating owners’ units are rented together and revenue is shared by a formula.
Trailing 12-month statement: A year of actual income records from a platform or operator.
Comp Set Strength: AirDNA’s Low, Medium, or High grade of how well the comparison listings match your unit.
How Does Underwriting Turn a Projection Into Qualifying Income?
It follows five steps, and the document choice and the discount decide most of the outcome. Across the wholesale network Lendmire places files with, the broad sequence looks like this. The complete DSCR loans guide covers the fundamentals behind it.
1. Classify the building. The lender flags it as a condotel or non-warrantable condo, and that narrows the lender pool. It does not bar a DSCR investor loan. Select lenders in the network review these files.
2. Pick the income document. If the unit has history, the trailing 12-month statement from the platform or operator is the stronger paper. If it has none, a market-data projection such as AirDNA fills the gap. A long-term rent estimate can serve as a fallback.
3. Apply a discount. The lender trims gross revenue before running the ratio. The size of the trim depends on the program, the document, and the building.
4. Run the ratio. Qualifying monthly income divided by PITIA, with HOA dues included, gives the DSCR.
5. Test the rest of the file. Leverage, credit, reserves, and property eligibility still apply.
On the program side, short-term-rental files typically expect about 12 months of hosting or landlord experience and a score of 640 or higher. A short-term-rental purchase tops out at 75% LTV on the strongest files. A refinance runs around 70%, and cash-out on short-term-rental collateral also tops out at 70%. The coverage floor is 1.00 on purchases and refinances. Those are guidelines, not promises.
One more point matters here. A 1.00 ratio is not positive cash flow. DSCR compares income to PITIA only. Repairs, vacancy, management, utilities, and capital expenses all sit outside the calculation.
Where Do Projections Hold Up, and Where Do They Miss?
They hold up best in mature markets with many similar listings, and they miss most on new or unusual units. The table shows the main sources of error and how each one hits a condotel.
| Error source | Usual direction | Condotel twist |
|---|---|---|
| Thin comp pool | Either way | Few hotel-style comps nearby |
| New listing ramp-up | Projection too high | New buildings take time to fill |
| Survivorship in comps | Projection too high | Weak operators drop out of the data |
| Operator revenue split | Projection too high | Owner gets a share, not the gross |
| Owner blackout dates | Projection too high | Blocked nights earn nothing |
| Unit type mismatch | Either way | Studios rarely match condo comps |
Vault STR’s review of Rentalizer argues that new listings underperform for months and that survivorship bias in the comp pool skews estimates upward. It puts typical misses at 15% to 30%, mostly on the high side. That is one publisher’s view, but the mechanics make sense.
Accuracy claims also deserve a careful read. A BiggerPockets thread on AirDNA accuracy shows investors split. Some defend the tool, and others report misses of 50% or more on their own properties. The pattern fits how the tool works. Market-level aggregates are more reliable than a single address-level projection. A condotel is the kind of address where the model has the least to go on.
Here is a genuine toss-up for buyers. Total revenue can land close while the assumptions underneath are wrong. A projection might assume high occupancy at a modest nightly rate, while the building really runs lower occupancy at a higher rate. The total looks right, but the stress points differ.
What Does the Coverage Sensitivity Look Like?
Coverage moves faster than most buyers expect once discounts and the operator split stack up. The table below is illustrative only. It starts from a hypothetical condotel whose full AirDNA gross covers its PITIA at about 1.50x, then applies different adjustments. The percentages are modeled assumptions, not any program’s actual factor.
| Adjustment applied to gross | Resulting DSCR |
|---|---|
| None (raw projection) | 1.50x |
| 10% discount | 1.35x |
| 20% discount | 1.20x |
| 30% discount | 1.05x |
| 40% discount | 0.90x |
| Owner keeps about 45% of gross | about 0.68x |
The last row is the one that surprises people. If a pool pays the owner roughly 45% of gross, the same unit that looked comfortable on the raw projection sits well below 1.00 on the owner’s real distributions.
Sub-1.00 coverage is not a dead end. It is a separate path from the 1.00 floor that many select programs use. Select lenders in the network offer sub-1.00 coverage with leverage and terms adjusted, and qualification stays subject to lender guidelines, credit review, and property review. Expect lower leverage, and expect the lender to want to see real documents.
Notice what the table says about sequencing. A deal can pass on a projection and fail on actual owner distributions. Model both before you offer.
A larger down payment helps. It lowers the payment and can lift the ratio. It does not erase leverage caps, credit floors, reserve rules, or property eligibility. The strongest files clear both tests: enough equity and enough rental coverage.
Where Does the General Rule Break?
The rule “gross projection minus a discount equals qualifying income” breaks in six named cases.
A condotel with operating history. A statement of distributions paid to the owner is a different document from an AirDNA gross figure. Net-to-owner paper usually tells the underwriter more than a model does, and it needs no projection multiplier.
A new building with no history. A projection may be the only market-data route. Expect the lender to be cautious, because new units ramp slowly and the comps may be mature.
A thin comp pool. When Comp Set Strength reads Low, the number is weak. Custom comps can improve the score, but only if the swapped-in comps genuinely resemble the unit.
An unusual unit type. Studios, hotel-style rooms, and amenity-light units rarely match typical Airbnb listings. The comp set needs hand-tuning toward hotel-type comparisons.
A mandatory versus voluntary program. Mandatory participation changes how much control the owner has over bookings and income. The program terms matter, so bring the agreement.
An appraiser-supplied estimate. On some files the appraisal carries a market rent view that sits beside or replaces the borrower’s AirDNA pull. Whether that applies depends on the lender.
One practical note from broker experience. Files in resort-style buildings tend to stall when the borrower brings only a projection and the operator agreement surfaces late. The better-prepared files arrive with the rental-program agreement, the fee schedule, and any operator statements in hand. Underwriters then see a split and an exit path on day one rather than a surprise.
What Does the Investor Decision Look Like in Practice?
Treat the projection as a ceiling, not a forecast, and decide on the lower number. Here is a repeatable process.
1. Pull the Rentalizer report yourself. Look at the Comp Set Strength score and read the actual comps.
2. Rebuild the comp set. Swap in listings that resemble a hotel-run unit, not a whole-home rental.
3. Get the operator’s paper. Ask for the rental-program agreement, the fee schedule, the split, the owner-use rules, and any recent owner statements.
4. Model the owner’s share. Run the ratio on net distributions, not gross revenue.
5. Add the full HOA dues. They sit in the PITIA denominator.
6. Run the discount table. Check where your ratio crosses 1.00 as the discount grows.
7. Check leverage and credit against the program. Remember the 75% purchase ceiling and 640 minimum score on short-term-rental files.
Then ask two sets of questions. Ask the lender what document it prefers for this building, how it treats a projection, and what leverage and reserves apply. Ask the property manager whether participation is mandatory, how the split is calculated after fees, what the owner-use limits are, and what happens at exit. Resale buyers for condotels are usually a narrower pool, so an exit plan is part of the underwriting story.
Tax treatment can depend on how the funds are used and how the property is held; investors should keep clear records and speak with a qualified tax professional before relying on any deduction.
Condotels are not off the table. They are a property type where the income document matters more than usual, and where the person who skips the operator agreement pays for it later.
Frequently Asked Questions
Is an AirDNA projection accepted for a condotel loan?
It depends on the lender and the building. Select lenders in the network will review a market-data projection when a unit has no operating history, usually with a discount applied. When operating history exists, the operator’s statements typically carry more weight. Acceptance is subject to lender guidelines and property review.
Why does the projection overstate condotel income?
It models independent hosts who keep all revenue and control their own calendars. A condotel owner usually shares revenue with an operator, and fees come off the top. A stated 50/50 split can work out to roughly 40% to 46% of gross, per LegalClarity. Owner blackout dates also remove bookable nights.
What if the projection and the operator statements disagree?
Expect the lender to lean toward the document that reflects what the owner actually receives. If the projection runs higher, model your deal on the lower number. If coverage falls under 1.00, select lenders in the network offer sub-1.00 paths with leverage and terms adjusted.
What leverage and credit apply to a condotel STR purchase?
Short-term-rental purchase leverage tops out at 75% LTV on the strongest files, and a refinance runs around 70%. Most files expect a 640 or higher score and about 12 months of hosting history. Reserves vary by lender, leverage, and loan size, and commonly sit near six months of PITIA.
Does clearing 1.00 mean the condotel will cash flow?
No. The ratio compares qualifying income to PITIA only. Management fees, repairs, vacancy, utilities, and capital costs sit outside it. A unit can clear the lender’s ratio and still leave thin cash after real operating costs.
Next Step
If you are buying or refinancing a rental property and want to see how the numbers work, Lendmire can help you compare DSCR loan options based on the property income, credit profile, leverage, and investor goals. Lendmire is a mortgage broker arranging DSCR financing through select lenders across 41 markets, including Washington, D.C. Programs change, and every file is underwritten individually. Nothing here is a commitment to lend.
Investors focused on short-term rentals can review DSCR loans for Airbnb and short-term rentals.
About Lendmire
A non-QM mortgage broker (NMLS# 2371349), Lendmire arranges DSCR financing for real estate investors in 41 markets — 40 states plus Washington, D.C. Because deals are underwritten primarily on property cash flow rather than personal income documentation, the structure suits self-employed buyers and entity-owned portfolios. Lendmire places loans through wholesale investor lenders; it is not a direct lender. Scotsman Guide named Lendmire a Top Mortgage Workplace in both 2025 and 2026.
Get Started
Ready to find the right loan for you?
In about 30 seconds you can review financing options available for your investment property. No commitment required.
Informational only. Not a Loan Estimate, approval, or commitment to lend. Program availability and eligibility are subject to lender guidelines, credit approval, property review, and underwriting.
References
1. AirDNA Help Center – Rentalizer Revenue Calculator
2. AirDNA Help Center – How AirDNA Calculates Revenue
3. LegalClarity – How a Condotel Works for Owners and Investors
4. Vault STR – Rentalizer Accuracy
5. BiggerPockets – How Accurate Are AirDNA Estimates and Calculators for STRs
This article is part of Lendmire’s short-term rental loan program — full qualification details, guidelines, and scenarios live on the program page.
Related reading: STR Loan 30-Year Fixed vs Interest-Only for a Seasonal Market · How to Qualify for a DSCR Loan in Mississippi · Condotel Loan vs Regular Condo STR Loan
Brandon Miller
Founder & CEO, Mortgage Loan Originator, Lendmire LLC
- Mortgage Loan Originator · NMLS# 1129696 · Verify on NMLS Consumer Access
- North Carolina Real Estate Broker · License# 343312 · Verify on NCREC
- North Carolina Insurance Producer · License# 19053198 · Property, Casualty, Life, Health · Verify on NAIC SBS
- Lendmire LLC · Firm NMLS# 2371349 · Verify firm licensure
Compliance and disclosures. Lendmire (NMLS# 2371349) is a licensed mortgage broker and is not a direct lender, depository institution, financial advisor, or tax professional. Content in this article is general market analysis and educational information — not financial, legal, or tax advice for any specific situation. Lendmire does not guarantee loan approval; every transaction is subject to underwriting by the funding lender. Mortgage pricing and loan program guidelines are subject to change at any time without notice and vary by borrower characteristics, property type, and state regulations. Lendmire complies with Equal Housing Opportunity. Licensure verification: NMLS Consumer Access.