STR Market Seasonality in 2026: Which Markets Peak in Summer, Which in Winter, and What It Means for Your Investment Returns

The gap between the best month and the worst month at Panama City Beach is $5,495 per listing. StaySTRA data puts June at $7,092 in average monthly revenue and December at $1,597. If you have spent any time looking at STR income projections, you know that number can work both ways. It looks impressive in a listing pitch and complicated in a loan application.

Which is exactly why seasonality deserves more attention than it typically gets from first-time STR investors.

Here in Santa Fe, I have forty years of experience watching people mistake a peak data point for a trend. The June revenue at a Florida beach market is not a promise of what a property will earn across twelve months. The December trough is not a failure. They are two points on a curve, and the full shape of that curve is what separates investors who make confident decisions from those who are surprised six months after closing.

This article breaks down the monthly revenue, occupancy, and ADR patterns for the four primary STR market types: beach, ski and mountain, lake, and urban year-round. All data comes from StaySTRA. We will look at real monthly curves, explain what revenue concentration risk means in practice, walk through how the same seasonality data that drives your booking calendar is the identical data a DSCR lender will use to approve or deny your loan, and close with a framework for matching market type to investor profile.

Why Seasonality Matters for the Investment Math

Seasonality is not just about when the property is busy. It is about cash flow timing, debt coverage, and the concentration of risk inside a twelve-month cycle.

Think of a seasonal market like a harvest cycle. A farmer who earns most of their annual income in October needs to manage cash flow through eleven other months. An STR investor in a summer beach market faces the same structural reality: a high-revenue summer must carry a low-revenue winter. The property does not earn money more easily just because it earns a lot in June. It earns differently, and that difference has compounding effects on how you finance it, insure it, and build reserves around it.

For investors considering their first or second STR purchase, market type is often the decision with the longest tail. Location can be optimized. Pricing tools can be layered on. But the underlying seasonality of a market, whether demand is weather-driven or event-driven, concentrated or distributed, is baked into the geography. A beach town in the Florida Panhandle is always going to peak in summer. A ski resort in Colorado is always going to peak in winter. You can work with those curves, but you cannot change them.

Third-party data corroborates what StaySTRA is tracking: RevPAR is up 2.9% nationally heading into summer 2026, with gains concentrated in markets with strong leisure demand. What that national figure does not reveal is how unevenly those gains are distributed across the year within any given market. That is the analysis this article provides.

The Four Market Type Profiles

Beach Markets: Summer-Concentrated, Winter-Quiet

Panama City Beach is one of the largest beach STR markets in the country, with more than 18,700 active listings tracked by StaySTRA. The monthly revenue curve is as clear a seasonal pattern as you will find anywhere in the data.

From June through August, average monthly revenue runs $7,092, $6,825, and $3,820, respectively. From November through January, that figure drops to $1,686, $1,597, and $1,644. The peak three months (June, July, August) combined produce $17,737. The trough three months (November, December, January) produce $4,927. That is a 3.6x ratio between what the property earns in its best season and what it earns in its worst.

Occupancy tells the same story with a different number. June hits 82%. December is 35%. The ADR differential adds a compounding effect: hosts command $334 per night in June and $183 in December because demand pressure sets the market rate, and demand pressure in a beach town follows the school calendar.

StaySTRA data puts average annual gross revenue at $53,451 for Panama City Beach listings. That is a real and competitive number for a market with a $413,312 median home value. But it is not what an investor extrapolating June’s $7,092 across twelve months would calculate. That projection produces $85,104, a $31,653 overestimate. If you are building an investment model around summer peak revenue, you are building it around incomplete information.

The beach market is not a bad investment. At $53,451 in annual gross revenue against a $413K home, the math can work. The seasonality is knowable, plannable, and priceable. What beach market buyers need to understand is that they are buying a summer-intensive revenue engine that will require cash reserves to cover shoulder and off-season carrying costs.

Ski and Mountain Markets: Winter-Concentrated, Spring-Shoulder

Breckenridge, Colorado sits at the opposite end of the seasonal calendar from Panama City Beach. Its revenue curve peaks in winter and bottoms in spring, almost the exact inverse of a beach market.

StaySTRA tracks 4,765 active listings in Breckenridge. February and March are the dominant revenue months: $9,037 and $9,794 per listing, respectively. December performs nearly as well at $8,299. January comes in at $8,019. The top four winter months average $8,788 per listing.

Then April arrives. Occupancy drops from 68% in March to 31% in April as ski season closes and the mountain transitions to summer. Revenue falls from $9,794 to $3,203. May is the softest month of the year at $2,881. The summer recovery (June through August at $4,159, $5,240, and $4,569) is real but modest compared to winter peaks.

The seasonal spread is 3.0x when comparing the peak three months (February, March, December at $27,130 combined) against the trough three months (April, May, October at $8,941 combined).

Stay with me here, because the Breckenridge data makes a critical point for DSCR investors. The LTM average monthly revenue of $7,289 works out to approximately $87,468 annually. Against a median home value of $1,194,000 to $1,404,000, you are looking at a gross yield under 8% in one of the most expensive STR markets in the country. This is an appreciation play with strong winter income. It is not a cash flow play, and investors who underwrite it as one will face a difficult first spring.

One note on market diversity within this category: some mountain markets show better year-round distribution than pure ski resorts. Gatlinburg, Tennessee, which serves the Smoky Mountains, generates meaningful October revenue ($6,064 per StaySTRA data) alongside strong summer months, with December at $5,616. The pure ski market (winter-dominant, spring-weak) is one version of a mountain play. The four-season mountain cabin market is another, and the data curves look quite different.

Lake Markets: Summer-First, Better Shoulder Than Beach

Traverse City, Michigan, on the eastern shore of Grand Traverse Bay, is a well-documented Great Lakes STR market. StaySTRA tracks 5,178 active listings. The monthly revenue pattern closely mirrors beach markets but with slightly better shoulder season performance.

July is the peak month at $6,781 in average revenue, with 79% occupancy and a $349 ADR. August holds strong at $6,316 and 71% occupancy. June begins building in earnest at $5,018. These three months together produce $18,115.

Winter is thin. November drops to $2,034 at 29% occupancy. December and January recover marginally to $2,175 and $2,220. The trough three months (November, December, January) total $6,429, making the peak-to-trough ratio 2.8x. That is a shade better than a pure beach market.

The reason lake markets often outperform beach in shoulder months comes down to demand mix. Lake destinations attract boaters, wine country visitors, and fall foliage travelers who extend activity into September and October. Traverse City’s cherry orchards and wine trails keep demand active through early fall in ways that a Florida Panhandle beach town simply cannot replicate after Labor Day.

At a median home value around $440,530 and an annual revenue that works out to approximately $49,800, Traverse City sits at a useful middle point: summer concentration similar to beach, better shoulder performance, more accessible entry price than most ski resort markets.

Urban and Year-Round Markets: Stable, Event-Driven, DSCR-Friendly

Nashville presents a sharply different picture from any of the three leisure markets above. With 15,600 active listings tracked by StaySTRA, it is one of the largest STR markets in the country. Its revenue curve is almost flat by comparison to seasonal markets.

January is the softest month at $2,547 in average revenue and 42% occupancy. October is the strongest at $4,911 and 63% occupancy. The monthly range runs $2,547 to $4,911, a 1.9x spread across the full year. Every month from March through November stays above $4,000 per listing.

Nashville’s demand is driven by bachelorette parties, concerts, sporting events, and business travel. These motivations do not follow the school calendar or the snow report. They follow event schedules, and event schedules distribute across the year. Even January, historically Nashville’s quietest month, generates $2,547 because people fly in for concerts, corporate training, and weekend trips regardless of the temperature outside.

The LTM ADR in Nashville is $313 with 59.7% occupancy, producing an average of $5,237 in monthly revenue. Annual gross runs approximately $62,844 per year, higher than Panama City Beach’s $53,451 on an annual basis, while entry prices are competitive in many Nashville neighborhoods.

Urban markets are not without risk. They are more exposed to regulatory change, and competition from professionally managed inventory is intense. But from a revenue stability standpoint, no other market type offers a monthly floor as reliable as a major urban leisure destination. That stability has direct implications for financing.

Revenue Concentration Risk: What the Numbers Actually Mean

Revenue concentration risk describes the degree to which annual income depends on a narrow window of peak months. Think of it like a batting average weighted by season: if your highest-performing months carry the whole year, any disruption to those months has an outsized effect on your annual result.

Here is a direct comparison across all four market types using StaySTRA data:

The concentration ratio tells you how much income insurance you are carrying into the off-season. A 3.6x ratio at Panama City Beach means your three best months earn more than three and a half times what your three worst months earn. That is workable if you have planned for it: adequate reserves, a mortgage payment sized for the trough, and no expectation that every month will look like July.

The problem arrives when investors plan for the peak and meet the trough unprepared. A $3,000 monthly mortgage on a property that earns $1,597 in December is survivable. A $3,000 mortgage on a property an investor bought assuming year-round revenue of $7,000 per month is not. The model assumption, not the market, is where the risk was hiding.

For investors who want to reduce concentration risk without moving to a pure urban market, two-season mountain cabin destinations offer a middle path. Gatlinburg’s monthly distribution is notably more forgiving: summer strength from June through August, a meaningful October foliage peak, and December at $5,616 thanks to holiday travel. The trough still exists (January at $3,007), but the spread from peak to trough is narrower than beach or ski markets at their most concentrated.

How Seasonality Affects DSCR Loan Underwriting

The connection between seasonal data and DSCR loan eligibility is one of the most underappreciated topics in STR financing conversations. Bear with me through the mechanics because the practical consequence is significant.

A DSCR loan qualifies a property based on its gross rental income relative to annual debt service (principal, interest, taxes, and insurance). The formula: annual gross revenue divided by annual debt service. Most DSCR lenders want a ratio at or above 1.0 to 1.25. Below 1.0 means the rental income does not cover the property’s own debt, which is a hard stop for most lenders.

The critical detail is that lenders use trailing 12-month actual gross revenue, not forward projections or peak-month estimates. For a seasoned property, they ask for your Schedule E or twelve months of bank statements showing deposits. For a new purchase, they may commission an STR-specific income appraisal. Either way, the number they work from is annual income, not your best month multiplied by twelve.

For seasonal markets, this creates a timing sensitivity that most buyers do not think about until they are mid-application. A beach property buyer who applies for a DSCR loan in September, after a full summer has run, shows trailing income that includes two peak seasons. The income looks strong. A buyer who applies in February on the same property will have a trailing twelve that includes more of the off-season. The lender sees a lower number. The same property at the same purchase price can produce different loan outcomes based on when you apply.

Year-round urban markets do not face this timing volatility in the same way. Nashville’s January revenue of $2,547 is low relative to October, but it is not a cliff. The trailing twelve-month income at any point in the calendar year looks relatively similar to any other twelve-month window. That predictability makes urban markets structurally easier to finance with DSCR products.

Investors using DSCR financing to purchase seasonal properties should work with a lender who understands STR income patterns and can use an annualized market-rate appraisal rather than a point-in-time trailing income calculation. Our guide to DSCR loan requirements for Airbnb properties covers what experienced STR lenders require and how to structure your application. For a broader overview of getting started, the step-by-step guide to buying an Airbnb property in 2026 is a useful foundation.

Which Market Type Fits Which Investor Profile

There is no single correct market type. There is only the type that fits your capital, timeline, and operating preference. Here is how I would frame each one based on what the data shows.

Beach and lake markets suit investors who have adequate cash reserves to carry the property through two to four low-revenue months per year, plan to hold five-plus years to capture appreciation alongside rental income, and are comfortable with the management intensity that comes with summer peak seasons. These markets tend to recover from demand dips quickly because the underlying leisure draw, coastline or waterfront access, does not change.

Ski and mountain markets suit investors who have higher capital available given premium home prices in established resort towns, want maximum ADR potential (Breckenridge’s February rate of $534 per night runs more than 70% above Nashville’s peak ADR), are prepared for a spring shoulder period that can run six to eight weeks, and have an exit strategy that values supply-constrained appreciation as much as cash flow.

Urban year-round markets suit investors who are using DSCR financing and need predictable trailing income for qualification, prefer lower revenue concentration risk and more consistent monthly cash flow, and want a property that is straightforward to underwrite, refinance, and eventually sell because the income history is stable across all twelve months.

Two things worth keeping in mind. First, these are archetypes, not rigid rules. A lake market with nearby skiing (Lake Tahoe, Stowe, the Vermont lakes) or a mountain destination with strong multi-season demand (Gatlinburg, Asheville) can carry a better risk profile than a pure single-season market. Second, property-level performance always varies from the market average. Market type tells you the shape of the seasonal curve. What you buy within that market determines where on that curve your property lands.

For a side-by-side returns comparison across market types, our beach versus mountain versus lake returns analysis runs the numbers in detail. If you are specifically evaluating year-round versus seasonal income stability, this comparison of year-round Airbnb markets covers that question directly. And for how cap rate intersects with seasonal income, our 2026 STR cap rate guide provides the framework.

We do our best to keep our data accurate and up to date, but markets move fast and we are only human. Always verify current figures directly with local sources before making investment decisions.

See the Seasonal Curve for Your Target Market

The monthly patterns above describe what market-type seasonality looks like in aggregate across thousands of listings. Your specific target property will have its own curve, shaped by its location within the market, its bedroom count, and what comparable properties are earning right now.

The StaySTRA Analyzer lets you pull occupancy, ADR, and monthly revenue breakdowns for comparable properties in your target market. If you are weighing a beach property against a ski property, or comparing a lake market to an urban one, the analyzer gives you the property-level view to match against the market-type picture this article covers.

Run Your Market Analysis with StaySTRA