Short-Term Rentals vs. Long-Term Rentals: An Honest Income Comparison

Short-term rentals usually gross far more than long-term leases, but the gap narrows sharply after platform fees, management, utilities, turnover, and vacancy. In tourism-heavy markets with self-management, the premium can hold; with professional management priced in, it often shrinks to near parity.

The comparison matters more in 2026 than it has in several years. Nightly rates are firming while long-term rents sit flat, and a federal tax change has altered the arithmetic for owners who can qualify for it. Gross revenue is the wrong number to compare, and most published comparisons still lead with it.

What the 2026 Market Data Shows

On the short-term side, AirDNA’s midyear outlook projects U.S. occupancy averaging 57.4% in 2026, above the pre-pandemic average of 57.0%, with demand and available listings both growing 2.7%. Revenue per available rental is forecast to rise 2.9%, driven by higher nightly rates.

The report also notes that expectations of lower borrowing costs encouraging new investment have not materialized, as renewed inflation pushed mortgage rates back above 6%. Slower supply growth has helped established operators hold occupancy, while new entrants face a more expensive entry point.

Long-term rentals tell a quieter story. Apartment List reports a national median rent of $1,388 in September 2026, down 0.4% from a year earlier, with the multifamily vacancy rate at 7%. The same report describes a market gradually stabilizing after nearly four years of softness, and the typical listing takes about 34 days to lease. Rent growth has turned marginally positive in some months, but no one is forecasting a surge.

Two conclusions follow. Short-term rental pricing power is improving on the back of constrained supply, and long-term landlords are operating in a market where vacancy is high by historical standards. Neither fact says anything about a specific property.

Where the Premium Is Real, and Where It Is Not

Market selection does more work than the rental strategy itself. AirDNA’s live data shows Miami at 61% occupancy with an average daily rate of $263 and revenue per available rental of $161, across roughly 20,000 active listings.

A small rural market such as Adair, Iowa, shows 49% occupancy, a $152 daily rate, and a RevPAR of $75. Annual revenue per listing there averages about $23,200, which is close to what a modest long-term lease would collect with far less effort.

The pattern is consistent across the industry. Short-term rentals outperform where demand is structural: beaches, ski towns, national park gateways, convention cities, and event-driven metros. They underperform where demand is thin or seasonal, because fixed costs keep running while calendars stay empty. A long-term lease converts a weak demand market into a predictable one, and that is the whole argument for it.

The Net Income Math

An illustrative model shows the mechanics. The figures below are assumptions for a three-bedroom home, not market data.

Assume a long-term rent of $2,200 a month, or $26,400 a year. A 7% vacancy allowance, close to the national multifamily rate, removes about $1,850. Professional management at roughly 9% of collected rent, plus maintenance and leasing costs, leaves a managed net near $19,800. A self-managed owner keeps about $22,000.

Now assume the same home earns a $240 average daily rate at 55% occupancy, which is $48,180 gross. Airbnb has moved many hosts to a structure that deducts 15.5% directly from the host payout, which takes about $7,470. Utilities, supplies, software, and consumables might run $7,200, and extra maintenance and replacement of furnishings another $3,000. A self-managed operator then keeps roughly $30,500. A full-service manager charging 20% of gross removes another $9,600, leaving about $20,900.

The comparison is the point. At first glance the short-term home earns 83% more than the long-term one. Managed, the advantage is about 5%. Self-managed, it is closer to 38%, and the difference between those two figures is the price of labor.

A useful break-even test comes out of the same inputs. With a 20% management fee and a 15.5% platform fee, the short-term home needs roughly 53% occupancy at a $240 rate just to match the managed long-term net. That sits only a few points below the national forecast, which explains why experienced operators treat a marginal market as a long-term rental market.

The Labor Question Most Comparisons Skip

Short-term rental income is partly a wage. Guest messaging, cleaner coordination, dynamic pricing, review management, and after-hours problems are real work, and owners who self-manage are earning a salary embedded in the yield. Pricing that salary at even $25 an hour changes the comparison for a property that demands ten hours a week.

Turnover is the other hidden cost. Each stay requires a clean, linen handling, restocking, and an inspection, and cleaning fees passed to guests do not always cover the real expense. Higher wear also shortens the life of furniture and appliances, which is why a replacement reserve belongs in the model from the first day.

Long-term rentals have their own risk, and it is concentrated rather than continuous. One bad tenant, a lengthy eviction, or a major repair during a vacancy can erase a year’s margin. Short-term rentals spread risk across many small stays, while long-term rentals concentrate it in a single counterparty.

Tax Treatment Can Reverse the Result

For some owners, the tax code changes the ranking entirely. A rental is ordinarily passive, which limits how far its losses can offset other income.

The so-called “short-term rental loophole” applies when average guest stays are seven days or fewer, which removes the activity from the passive presumption under Section 469. The owner must then materially participate, and one route requires 100 or more hours where no one else participates more than the owner, or 500 or more hours in the activity.

Combined with a cost segregation study, the effect can be large. The One Big Beautiful Bill Act, signed July 4, 2025, permanently restored 100% bonus depreciation for qualifying property acquired and placed in service after January 19, 2025, and commentators give the example of a $600,000 property where 30% of value, or $180,000, is reclassified and deducted in the first year. Cost segregation studies typically run $3,000 to $15,000 depending on the property.

The limits deserve equal attention. Hiring a manager to run day-to-day operations can undermine material participation, and poor time logs weaken an audit defense. Depreciation is also recaptured on sale, so the benefit is often a deferral rather than a permanent saving. A long-term rental owner may reach similar results through real estate professional status, but that test is stricter. A qualified tax professional should run the numbers before any purchase decision rests on them; this article is not tax advice.

Regulation Is an Income Variable

Legal risk is the most underpriced factor in short-term rental underwriting. New York City is the clearest example. Local Law 18 requires hosts to register with the Mayor’s Office of Special Enforcement and prohibits booking platforms from processing transactions for unregistered rentals.

Stays under 30 days generally require the host to be present, and the city counted only 3,194 registrations citywide in January 2026. Investment-property short-term rentals are effectively closed there.

Other cities limit nights, cap permits, or require primary-residence status. Permit rules can change after a purchase, which turns a projected yield into a stranded asset. Owners in restrictive jurisdictions often pivot to stays of 30 days or longer, where ordinary landlord and tenant rules apply. This mid-term model sits between the two strategies, trading peak nightly rates for lower turnover and steadier occupancy, and it has become the practical answer in several regulated markets.

Common Mistakes

The first mistake is underwriting on peak-season performance. Annualized figures from a single strong summer overstate income, and the shoulder months often decide the year.

The second is ignoring new supply. A market with rising listing counts and falling daily rates can look attractive on trailing data while deteriorating underneath, as listing growth in some mid-sized markets has shown.

The third is comparing gross short-term revenue with net long-term rent. The two figures are not measuring the same thing.

The fourth is treating furnishing as a one-time cost. Setup is a five-figure outlay in many cases, and replacement is continuous.

A Practical Decision Framework

A simple screen produces better decisions than any single statistic. Start with the break-even occupancy at the expected daily rate and management structure, and compare it with the local trailing twelve-month occupancy. A cushion of more than ten points is a reasonable sign of resilience.

Then confirm that the property’s zoning and permit status will survive a policy change, price the owner’s time at a realistic hourly rate, and check whether the tax strategy applies to the specific owner rather than to an abstract example.

Properties that clear all four tests in a demand-rich market justify the operational burden. Properties that clear two or three often earn more as steady long-term rentals or mid-term stays, with less volatility and far fewer late-night calls.

Rohit Bezewada, AirDNA’s chief executive, put the central point plainly: “National averages only tell part of the story.” Income outcomes are decided at the level of a single market, a single property, and a single owner’s tolerance for work and risk. The honest comparison begins there.

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