Discover where short-term rental valuations go off track and how to keep appraisals aligned with underwriting reality.

Short-term rentals (STRs) are a small slice of the U.S. housing market, but they have been growing steadily for the last decade. According to a Consumer Affairs Report, industry estimates suggest STRs account for roughly 3 million properties. Although STRs have many advantages, financing them can be extremely challenging. Private lenders, though, have found a home for the STR product in debt service coverage ratio (DSCR) lending.

You would think a DSCR loan would be the perfect product. The loan is underwritten against the income of the property and an STR is its own business built to produce income. Unfortunately, as private credit scales and technology-enabled valuation platforms are widely adopted, you’re increasingly faced not with whether STR-backed loans can be originated but with how they can be underwritten and valued responsibly at scale.

Why does this matter? Because valuation misalignment, rather than borrower intent or property quality is often the hidden reason STR deals stall, get repriced, or fall apart late in the process. When this happens in your lending operation, those breakdowns cost time, credibility, and capital. Getting a deal to “pencil out” used to be the priority in DSCR loans, but with STRs, using the correct income data could be even more important.

Where STR Valuation Assumptions Go Wrong

One of the most common challenges is conflating market rent with short-term rental income. Market rent reflects typical long-term leases. STR income, by contrast, is business-driven and can vary widely based on operator skill, marketing, reviews, seasonality, management quality, and local competition. For your underwriting team, these are two very different numbers with two very different risk profiles. When they’re treated interchangeably, that’s usually when surprises start to show up later.

Collateral Review Services (CRS) is a company that gathers data from multiple STR platforms and overlays it with local property management data to determine specific bedroom counts, ADR, and average monthly occupancy rate by month. Their report can show a 12-month average, and you can make an educated decision from here. Although there’s a cost involved, the time can be offset by ordering at the onset, which may be a solution for some lenders.

Another area that can create confusion is labeling STR properties as “commercial” simply because they generate income. The underlying real estate is still residential. What changes is not the asset class, but the income stream layered on top of it, which often reflects an operating business model. Keeping that distinction clear helps protect scope integrity, appraisal credibility, and the conclusions an appraiser can responsibly reach.

Oversimplified income math can also create unintended exposure. Rules of thumb like “ADR (average daily rate) × 30” or “ADR × 365” are inefficient from a modeling standpoint. They overlook seasonality, vacancy, cleaning and turnover impacts, platform fees, regulatory limits, and competitive supply shifting. STRs rarely perform in straight lines, and underwriting assumptions work best when they reflect that reality.

There isn’t a single, authoritative STR data source appraisers can rely on. STR data is fragmented. Listings often lack addresses, performance varies widely, and verification, as required under USPAP, can be difficult to obtain. For you, that means STR income analysis must be approached differently than market rent derived from MLS data, with expectations calibrated accordingly.

The solution is not avoiding STR lending altogether. It is ensuring that your STR loans are approached with clearer valuation expectations, more precise engagement language, and a sharper understanding of what residential appraisals can—and cannot—support.

Where Friction Shows Up

Most STR-related delays don’t originate with the borrower. More often, they surface after the appraisal is ordered, when valuation expectations don’t fully align with the original scope of work.

A common example is scope mismatch at intake. Your team may be expecting an STR income conclusion, but the appraiser is engaged for a standard residential assignment, such as a Form 1004 or 1025. That disconnect can lead to revision cycles, added time, and unexpected fees—not because anyone is unwilling but because the assignment wasn’t structured to support that level of analysis from the start.

Data and verification gaps are another frequent pressure point. Borrowers may provide screenshots or projections in good faith. Appraisers, however, need supportable data (e.g., credible third-party sources, documented operating history where available, and clearly stated assumptions). When that information is limited, appraisal conclusions naturally become more constrained, which can affect your timeline later in the process.

Regulatory uncertainty can also pause momentum. If zoning, permits, HOA rules, or local enforcement around STR use are unclear, underwriting often has to slow down. From your perspective, that’s not a technicality; it’s a real collateral and marketability consideration that deserves attention early.

Unsupported requests can create additional tension. Even well-intentioned revision requests can introduce delays when they effectively require a new scope of work. A request like, “Can you add STR income?” may sound minor, but it often involves additional research, expanded analysis, additional fees and time and, in some cases, a new assignment altogether.

Clear engagement language doesn’t slow production. In most cases, it prevents unnecessary rework and keeps your pipeline more predictable.

Asking an appraiser to guarantee STR revenue, apply a specific cap rate, meet a DSCR threshold or base value solely on projected income puts them in a difficult position. These types of requests raise legitimate independence and compliance concerns. Appraisers may not be the best answer for STR income analyses. A lender with a solution to this puzzle may give them better leverage on the fulcrum to deliver a better product.

Reset Expectations

Experienced valuation professionals help reset expectations by clearly separating deliverables. The appraisal of real property establishes market value. Any short-term rental income analysis is a separate exercise designed to support underwriting, not replace the opinion of value. Keeping those components distinct allows each to do their job well.

Valuation professionals also differentiate between what can be supported and what remains more speculative. When historical STR performance is available and verifiable, it can inform reasonable expectations. When it is not, projections must rely on market-supported assumptions with clearly stated limitations. That distinction is important for your credit decisioning and overall risk management.

Most important, valuation professionals bring the conversation back to risk controls. Questions about STR legality, permits, zoning, or HOA restrictions are not procedural hurdles; they are material collateral considerations. Framing them early protects capital and reduces downstream surprises, while keeping production moving sustainably.

Effective Engagement Language

Many short-term rental valuation challenges can be reduced before the appraisal is even ordered. When expectations are set clearly at engagement, the process tends to move more smoothly. Consider the clarity of this example:

“Please complete a residential appraisal (Form 1004 or appropriate form) to develop an opinion of the market value of the real property. In addition, provide a separate STR projected income analysis to support underwriting, based on credible market data and clearly stated assumptions. If market rent is needed for any reason, provide it separately as market rent based on long-term leases. Do not substitute STR income for market rent.”

Data expectations also benefit from clarity, as you can see in the following:

“Borrower to provide any available STR operating history, such as 12 to 24 months of gross revenue by month, platform statements, and management agreements, if applicable. Appraiser may rely on third-party STR data sources as available and will clearly state sources and limitations.”

Equally important are appropriate
scope limitations:

“The appraiser is not being asked to value a going concern (business as a whole, assets, and intangibles), business value, or personal property, nor to guarantee future STR revenue. Any income analysis is for underwriting support only and is not a representation of borrower performance.”

And, finally, regulatory transparency and other related considerations:

“Appraiser to report observed or researched STR-related restrictions, including zoning, permits, and HOA rules, and comment on any material impact on marketability.”

A Small Segment with Outsized Risk

STRs represent a small fraction of U.S. housing stock, yet they create disproportionate complexity in private lending workflows. According to the U.S. Census Bureau’s “Housing Vacancies and Homeownership” report, approximately 58.6% of U.S. housing units were owner-occupied as of third quarter 2025, while renter-occupied units made up just over 31% of the housing stock. Still, STRs remain a small percentage of the total housing market—one that introduces unique valuation, regulatory, and income-related risk for private lenders.

As private lending continues to scale, credible, income-aware valuations are not about slowing production. They are about helping you reduce downstream surprises, align underwriting expectations with appraisal reality, and support sustainable growth in private real estate lending.