The Quick Read: A converted rental must clear three tests: legal short-term rental status, a market data report built on comparable nearby listings, and DSCR coverage that holds after the lender adjusts the projection, because a converted property has no hosting history to prove the income.
- The report is a third-party revenue projection, not an appraisal.
- Each lender decides whether to use it, discount it, or fall back on long-term market rent.
- Comp quality matters more than the headline revenue number.
- Run the coverage ratio both ways before applying: on the projection and on supported long-term rent.
- STR files in the wholesale network typically want a 640+ score and about 12 months of hosting experience, subject to lender guidelines.
What a Market Data Report Is (and Isn’t)
A market data report is a property-level projection of short-term rental revenue. It usually comes from a tool such as the AirDNA Rentalizer. It estimates revenue, average daily rate, and occupancy for a specific address.
Short-Term Rental Calculator
Run the STR numbers in your market
Rate source: Freddie Mac 30-yr average via FRED® — Federal Reserve Bank of St. Louis · effective Oct 15, 2026
Prefilled with starting assumptions — enter your nightly rate, occupancy, taxes, and insurance for a more accurate picture.
Short-term rental income is documented with a 12-month history or a market data report. Program parameters update from Lendmire’s centralized guideline source.
As of Oct 15, 2026 · General Freddie Mac market benchmark, not a Lendmire loan offer. Nightly rate, occupancy, taxes, and insurance are editable estimates. Qualifying income for short-term rentals varies by program — some use appraisal market rent, others use documented STR history or projections — and is confirmed in underwriting. Not a Loan Estimate, approval, or commitment to lend. Program availability and eligibility are subject to lender guidelines, credit approval, property review, and underwriting.
It is not an appraisal. No licensed appraiser inspects the home. The tool looks at what similar listings nearby have earned and projects that onto your property.
That distinction matters for a converted rental. The house has a lease history, and that history reflects long-term rent. It says nothing about nightly income. The projection fills that gap, and on a purchase it often carries the income case, subject to lender guidelines. Lendmire’s piece Using A Market Data Report To Qualify A Short Term Rental covers the report itself in more depth. This article focuses on what a converted property has to show.
Step by Step: How Underwriting Treats a Converted Rental
The sequence below mirrors how most files move through the wholesale network. Lenders vary on the details. The order rarely does.
1. Confirm the property can legally operate as a short-term rental. 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. Do this before paying for comps or furniture. Lenders review legal status, and a projection for an unpermitted home carries little weight.
2. Clear the existing lease. The tenant has to leave lawfully before guests can book. Lease terms and landlord-tenant rules control that exit, as StayInTX explains in its conversion walkthrough. A tenant-occupied home will show in-place long-term rent until that happens.
3. Order the market data report. Some lenders order it. Others accept a borrower-ordered report. Ask which applies before you pay for one.
4. Check the comp set. The comps should match your property on type, bedrooms, bathrooms, and guest capacity. Weak comps weaken the file.
5. The lender converts the projection into qualifying income. Many lenders reduce it with an expense factor or a haircut before running coverage. The size of that reduction is the lender’s call.
6. The appraisal still happens. DSCR purchase and refinance files typically include an appraisal. That appraisal often carries a rent schedule (Form 1007 for single-family homes, Form 1025 for two-to-four unit properties). Those forms reflect a 12-month lease rent, not nightly income.
7. Underwriting picks the number that counts. Depending on the program, the lender may use the projection, an appraiser’s short-term analysis, or the long-term market rent. It is common to see the more conservative figure win.
The coverage ratio itself is simple. Qualifying monthly income divided by PITIA (principal, interest, taxes, insurance, and any HOA dues). Programs in the network that cover short-term rentals typically start at 1.00 on purchases, and refinance files also start at 1.00. Stronger ratios open better pricing and leverage.
How the Projection Gets Built
Knowing how the tool works helps you spot a weak report. AirDNA’s documentation says the Rentalizer searches active listings within a 10-mile radius. It picks comps by proximity and by similarity in bedrooms, bathrooms, and guest count. The result is a weighted average of those comps.
Revenue itself follows a defined method. AirDNA’s revenue methodology counts nightly rates and cleaning fees, then subtracts service fees and discounts. Booked days times average daily rate gives the revenue figure.
Two takeaways follow from this. First, a ten-mile radius can pull in listings that look nothing like your house. Second, the output is only as good as the comps behind it. A beach house with a pool should not be benchmarked against inland homes just because they share a ZIP code.
The Four Ways a Lender Can Count Income
Not every program treats a converted rental the same way. Across the network, income generally comes from one of four paths.
| Income path | Who produces it | Fit for a conversion | Weakness |
|---|---|---|---|
| Platform history | Booking records | Weak at first | Doesn’t exist yet |
| Market data report | Third-party tool | Strong on a purchase | Projection, not proof |
| Appraiser analysis | Licensed appraiser | Moderate | Varies by appraiser |
| Long-term market rent | Rent schedule form | Fallback | Ignores STR upside |
Most programs we place files with expect about 12 months of host experience on short-term rental files. A purchase of a property with no history can still work, because the projection stands in for the missing record. A refinance of a converted property you already own is where lenders lean harder on actual booking history. Lendmire’s piece on the 12-month rental history versus the market data report on a short-term rental cash-out walks through that tradeoff.
If you own the property outright and want to pull equity after converting, plan for history to matter. Cash-out on short-term-rental collateral generally tops out near 70% LTV, and refinances sit around 70% as well. A purchase of a short-term rental reaches up to 75% LTV on the strongest files. These are program guidelines, not promises, and each file is reviewed individually.
What Makes a Report Lender-Ready
A strong report has a few features in common.
- Tight comps. Same property type, similar bedroom count, similar amenities, and similar guest capacity.
- A consistent comp set. AirDNA’s calculator page describes a Comp Set Strength score that measures how consistent revenue is across the comps behind a projection. Wide swings between comps are a warning sign.
- Clear occupancy and rate assumptions. The lender should be able to see how revenue was built.
- Seasonality visible. A resort-area property that earns most of its income in a few months needs that shown, not averaged away.
- A date that satisfies the program. Reports have recency requirements, and they vary by program.
Why does this matter so much? Because projections miss. An independent review of the Rentalizer puts property-level estimates 15–30% off actual results in thin markets. A separate analysis from Vaultstr finds that misses tend to skew high, and that market-level data is more reliable than a single-address projection. Other vendors claim tighter accuracy, so treat any single figure as a range, not a promise.
Lenders know this. Many respond by trimming the projection before running coverage. Plan for that trim, not for the raw number.
Worked Example: One Property, Three Coverage Numbers
Run the numbers on a converted single-family rental under modeled assumptions. These ratios are illustrative, not market data.
- Raw projection: coverage lands near 1.45x.
- After a lender’s expense factor: coverage drops to roughly 1.20x.
- Long-term rent fallback: coverage falls to around 0.95x.
The same house looks like three different files. The first two clear the 1.00 benchmark that select programs start from. The third does not.
That third result is where the choice of program matters. Coverage below 1.00 is available through select lenders in the network, with leverage and terms adjusted. A lender may also look at interest-only structures or additional income evidence. None of that guarantees an outcome, since eligibility review depends on lender guidelines, credit approval, and property review.
One more point. Clearing 1.00 is not the same as positive cash flow. DSCR compares rent to PITIA only. Repairs, vacancy, management, utilities, furnishing, and capital expenses all sit outside the calculation. Short-term rentals typically carry higher operating costs than long-term ones, so a thin ratio can hide a thin real-world margin.
A larger down payment can lift the ratio by shrinking the debt. It does not erase leverage caps, credit floors, or property eligibility. The strongest files clear both tests: enough equity and enough rental coverage.
Where the General Rule Breaks
The steps above describe the typical file. Several situations bend them.
Thin and rural markets. When few comparable listings exist, the projection is unreliable. Those files often need a custom comp set before the numbers can be trusted.
Programs that don’t use projections. Some lenders won’t underwrite short-term rental income from a report at all. They may require booking history, or they may qualify the file on long-term rent only. Ask early which income figure a program underwrites.
Unusual properties. Barndominiums, log homes, and manufactured homes (single- and double-wide) are not offered in these DSCR programs, so no report will change that.
Tenant still in place. If the tenant is still there, the lender sees a long-term lease. The report describes a future use, not the current one. Sort out the lease exit before the file leans on the projection.
A rule change after you buy. A new cap or moratorium can undercut the whole plan. Keep a long-term or mid-term rental as a fallback.
Tax treatment. 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.
Loan size. Standard programs run up to $3,000,000. Larger or smaller balances can change which lenders in the network fit.
The Document Package
Assemble these items together so the report is not the only thing the lender sees.
| Item | Why it matters |
|---|---|
| Market data report | Supports projected income |
| Lease termination record | Shows the tenant exit |
| Permit or registration | Shows legal operation |
| HOA confirmation | Clears covenant limits |
| Insurance for STR use | Matches the new occupancy |
| Hosting history, if any | Strengthens a refinance |
A tidy package shortens the back-and-forth. It also shows the lender the conversion is a planned business, not a guess.
Key Terms Defined
Market data report: A third-party projection of short-term rental revenue, ADR, and occupancy for one address.
DSCR: The debt service coverage ratio, which compares qualifying rental income to the full monthly housing obligation.
PITIA: Principal, interest, taxes, insurance, and any association dues, which together form the monthly obligation in the ratio.
Haircut or expense factor: A reduction a lender applies to projected revenue before it counts as qualifying income.
Form 1007: The appraisal rent schedule for single-family homes, based on a 12-month lease rent.
Form 1025: The comparable rent and operating analysis for two-to-four unit properties.
Comp set: The group of nearby listings a projection uses to estimate your income.
What the Decision Looks Like in Practice
Start with legality. Then compare your projected coverage against supported long-term rent. If the gap between them is wide, the file depends on the projection, and the projection depends on the comps. Investors with a thin margin between those two numbers should think about whether the short-term plan carries enough upside to justify the extra work.
If you plan to hold the property for the long term and the long-term rent alone clears coverage, conversion may be optional rather than necessary. If the fallback falls short, the report has to carry the file, and the quality of that report becomes the main variable. For the broader program picture, see Lendmire’s complete DSCR loans guide.
Frequently Asked Questions
Can I qualify for a DSCR loan on a converted rental with no Airbnb history?
On a purchase, often yes. The projection typically stands in for the missing record, subject to lender guidelines. On a refinance, lenders more often look for actual booking history, and about 12 months of hosting experience is a common expectation on short-term rental files.
Is a market data report the same as an appraisal?
No. The report is a projection built from nearby listings. An appraisal is a licensed professional’s opinion of value, and its rent schedule reflects long-term lease rent. Many files use both, and the lender decides which income figure counts.
What if the report comes in lower than I expected?
Check the comp set first. Mismatched bedrooms, property types, or amenities pull the number down. If the comps are fair, the lower figure may be the honest one, and the file should be sized around it. A lower projection can still work with adjusted leverage, depending on the program.
Does the lender use the full projected revenue?
Usually not. Many lenders reduce it with an expense factor before running coverage. Ask which figure the program underwrites, because the answer can swing the ratio meaningfully.
Do I need a minimum credit score for a short-term rental file?
Short-term rental programs in the network typically look for a score of 640 or higher. Stronger scores can improve leverage and pricing. Each file is reviewed individually.
Next Steps
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 in its wholesale network across 41 markets, including Washington, D.C. It is not a commitment to lend, and program terms vary by lender and property.
About Lendmire
Lendmire (NMLS# 2371349) is a mortgage brokerage built around DSCR investor lending, with programs available in 41 markets, including Washington, D.C. DSCR lenders commonly evaluate rental-income coverage instead of personal income paperwork — a practical fit for LLC-owned and multi-property investors. Terms vary by lender, property, leverage, and program. Scotsman Guide named Lendmire a Top Mortgage Workplace in both 2025 and 2026.
Investors focused on short-term rentals can review DSCR loans for Airbnb and short-term rentals.
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References
1. AirDNA Help: Rentalizer Revenue Calculator
2. StayInTX: Converting a Long-Term Rental to Short-Term
3. AirDNA Help: How Does AirDNA Calculate Revenue?
6. Vaultstr: AirDNA Rentalizer Accuracy
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: How to Meet DSCR Loan Documentation Requirements for an LLC-Owned Rental · How to Buy a Short-Term Rental in a Permit-Capped Market · How to Meet DSCR Down Payment Source Requirements for a Rental Purchase
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
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- 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.