Short-term vs long-term rentals: which earns more in 2026

Short-term rentals can earn two to three times more gross revenue than long-term leases in most U.S. markets. But higher revenue does not always mean higher profit. With operating costs rising for 93% of property management companies according to Buildium's 2026 industry report, and short-term rental regulations now active in over 385 U.S. cities and counties, the real answer to "which earns more" depends on your market, your risk tolerance, and how you manage operations.

This guide breaks down the actual income differences, hidden costs, and risk factors behind both rental strategies so you can make a data-backed decision for your portfolio in 2026.

What counts as a short-term vs long-term rental?

A short-term rental (STR) is any property leased for fewer than 30 consecutive days. Think Airbnb listings, vacation rentals, and furnished corporate stays. Guests book by the night or week, and turnover is frequent.

A long-term rental (LTR) is a property leased for 12 months or more under a traditional lease agreement. Tenants pay monthly rent, and turnover happens once a year at most.

There is also a growing middle ground — mid-term rentals (MTR) — typically 30 to 90 days, popular with traveling nurses, remote workers, and relocating professionals. Mid-term rentals combine some income advantages of STRs with the stability of LTRs, and they often fall outside strict short-term rental regulations.

Understanding where your property fits matters because each model has a fundamentally different income profile, cost structure, and risk exposure.

How much do short-term rentals actually earn compared to long-term rentals?

Short-term rentals generate 2–3x the gross monthly revenue of long-term rentals in most U.S. markets. However, after accounting for higher operating costs — cleaning, furnishing, utilities, platform fees, and vacancy — net profit from STRs is typically 30–80% higher than LTRs, not 2–3x higher. The gap narrows significantly in markets with high supply or strict regulations.

Nightly rates vs monthly rent

The math behind STR income is straightforward: higher nightly rates multiplied by occupied nights. A property that rents for $1,800 per month as a long-term rental might command $150–$250 per night as a short-term rental. Even at a conservative 60% occupancy rate, that is $2,700–$4,500 per month in gross revenue.

But gross revenue is only half the picture. Short-term rentals carry expenses that long-term rentals simply do not have:

• Cleaning and turnover costs: $75–$200 per turnover, potentially 10–15 times per month

• Furnishing and staging: $5,000–$15,000 upfront, plus ongoing replacement

• Utilities and internet: Paid by the host, not the guest

• Platform fees: Airbnb charges hosts 3%, while guests pay up to 14%

• Dynamic pricing tools: $20–$50 per month per listing

• Higher insurance premiums: STR insurance costs 20–40% more than standard landlord policies

• Supplies and amenities: Toiletries, linens, kitchen essentials, and welcome packages

When you subtract these costs, the net income advantage of short-term rentals typically falls to 30–80% above long-term rental income — still significant, but far from the 2–3x headline number.

A real-world income comparison

Consider a two-bedroom apartment in a mid-sized U.S. city:

The STR nets roughly 25–55% more in this scenario. In high-tourism markets, the gap widens. In oversupplied or heavily regulated markets, it can disappear entirely.

Occupancy rates: the number that makes or breaks STR income

Short-term rental profitability lives and dies by occupancy. As of mid-2025, trailing twelve-month STR occupancy in the U.S. surpassed the pre-COVID average of 55.4% for the first time since 2023, according to AirDNA data reported by Wander. However, AirDNA's 2026 outlook projects a modest occupancy dip of roughly 1% as new supply continues to enter the market faster than demand grows.

This is the critical dynamic investors need to understand: supply is expanding faster than demand in many markets. AirDNA describes 2026 as a year where revenue per available room (RevPAR) results depend more on pricing power than occupancy growth.

For long-term rentals, occupancy is a simpler equation. A well-screened tenant on a 12-month lease gives you near-100% occupancy. The national multifamily average asking rent reached $1,741 in January 2026, showing modest 0.2% year-over-year growth according to Yardi Matrix data. While rent growth has slowed from pandemic-era spikes, long-term rental income remains predictable.

The breakeven rule: If your short-term rental cannot sustain at least 55–60% occupancy consistently, a long-term lease will likely net more after expenses. Markets where STR supply has surged — such as Austin, Phoenix, Denver, and Tampa, all showing negative rent growth in early 2026 — deserve extra scrutiny before committing to a short-term strategy.

The STR premium: a simple framework for deciding

One of the most practical ways to evaluate which model earns more in your specific market is the STR premium — the percentage by which projected short-term rental income exceeds long-term rental income for the same property.

Here is how to use it:

1. Estimate your monthly long-term rental income using comparable listings or a rent estimate tool

2. Project your monthly STR gross revenue at 60% occupancy using market data from AirDNA, Mashvisor, or a similar platform

3. Calculate the STR premium: (STR revenue – LTR rent) ÷ LTR rent × 100

If the STR premium is below 50%, long-term rental is usually the smarter financial choice once you factor in the higher operating costs and time investment. Above 50%, short-term rentals start to pull ahead meaningfully. Above 100%, the STR model is almost certainly more profitable.

SyncRent's rent estimate tool can help with step one — it analyzes comparable properties, local market data, and seasonal trends to suggest optimal rent prices, giving you a reliable baseline for this comparison.

Regulations: the biggest wildcard for short-term rental income

Regulations have become the single largest risk factor for short-term rental investors. Over 385 cities and counties in the United States now have specific short-term rental regulations, a 23% increase from 2023. These range from simple registration requirements to outright bans in certain zones.

What regulation looks like in practice

• Licensing and permits: Many cities require STR operators to obtain permits, pay annual fees, and pass inspections

• Occupancy caps: Some jurisdictions limit the number of STR permits available in a neighborhood or building

• Night limits: Cities like San Francisco and London cap the number of nights per year a property can be rented short-term

• Zoning restrictions: Entire neighborhoods may be zoned out of STR eligibility

• Tax collection: STR operators must collect and remit hotel or occupancy taxes, adding 8–15% to the guest rate

Here is the counterintuitive finding: hosts in well-regulated markets actually achieve 12% higher average daily rates because reduced competition increases pricing power and consumer confidence. Regulation is not inherently bad for STR income — but it does add compliance complexity and limits scalability.

Long-term rentals face their own regulatory landscape — rent control, eviction protections, habitability standards — but these are generally more predictable and stable. You are less likely to wake up to a city council vote that fundamentally changes your business model overnight.

Time and management: the hidden cost most investors underestimate

A long-term rental with a good tenant requires roughly 2–5 hours of management per month — collecting rent, handling the occasional maintenance request, and managing lease renewals. A short-term rental in the same property can demand 15–30 hours per month — guest communication, check-in coordination, cleaning schedules, restocking, reviews, pricing adjustments, and listing optimization.

This is where the "which earns more" question gets personal. If your time is worth $100 per hour, those extra 15–25 hours per month represent $1,500–$2,500 in opportunity cost — which can erase most or all of the STR income premium.

How automation changes the equation

The time burden of short-term rentals drops dramatically with the right technology. AI-powered property management tools handle guest communication, automate pricing, coordinate cleaning, and manage maintenance requests without constant owner involvement.

SyncRent, an AI-powered property management assistant, automates exactly these workflows for both rental models. AI handles routine tenant and guest inquiries, appointment scheduling, and status updates. Maintenance workflows are streamlined — requests come in through a portal, get triaged and routed automatically, and you track resolution from start to finish. Rent collection and payment reminders run on autopilot, reducing late payments and manual follow-ups.

For investors running a hybrid portfolio with both short-term and long-term units, having a single platform that manages both models eliminates the need for separate tools and reduces operational overhead significantly.

Which rental strategy works best for different investor profiles

There is no universal answer to which model earns more — the right choice depends on your situation, goals, and constraints.

Short-term rentals are likely better if you:

• Own property in a high-tourism or high-demand market with favorable regulations

• Have the budget to furnish and stage a property to compete with top listings

• Are comfortable with variable income and can handle months below breakeven

• Have access to automation tools that reduce the time burden

• Want to maximize gross revenue and are willing to accept higher operational complexity

Long-term rentals are likely better if you:

• Prioritize predictable, stable cash flow over maximum revenue

• Own property in a market with strict STR regulations or oversupplied STR inventory

• Want minimal management involvement or are investing remotely

• Are building a portfolio focused on long-term appreciation and consistent returns

• Prefer lower startup costs — no furnishing, no staging, no amenity stocking

The hybrid approach: why many investors choose both

Increasingly, successful real estate investors are not choosing one model over the other — they are running both. A portfolio might include long-term rentals for stable base income and a few short-term units in high-demand locations for revenue upside.

The 2026 Buildium and NARPM Property Management Industry Report highlights that technology adoption is accelerating across the industry, with property managers focused on using tools to save money and boost revenue. A hybrid strategy becomes far more manageable when a single platform handles tenant screening, rent collection, lease management, and maintenance coordination across all property types.

SyncRent supports this hybrid approach by managing your entire portfolio — short-term and long-term units alike — from one dashboard. You can track lease terms, occupancy, and payment status across every property, while AI handles communication and coordination regardless of the rental model.

How to calculate your rental property ROI for either model

Before committing to a strategy, run a proper return on investment analysis for your specific property. Here is the framework:

1. Calculate gross annual income — For LTR: monthly rent × 12. For STR: average nightly rate × projected occupied nights per year

2. Subtract all operating expenses — Mortgage, insurance, taxes, maintenance, management, utilities (STR only), cleaning (STR only), platform fees (STR only), furnishing amortization (STR only)

3. Calculate net operating income (NOI) — Gross income minus total operating expenses

4. Divide NOI by total investment — Purchase price plus renovation and furnishing costs

5. Compare the ROI — A typical long-term rental targets 6–10% cash-on-cash return. Short-term rentals in strong markets can hit 12–20%, but the variance is much wider

Pro tip: Run the STR calculation at both 60% and 75% occupancy. If the investment only makes sense at 75%+ occupancy, the risk is high — even small market shifts or new regulations could push you below profitability.

What to expect in 2026 and beyond

The rental market in 2026 is shaped by several converging forces:

• STR supply continues growing while demand growth recovers more slowly, creating occupancy pressure in many markets

• Regulations are tightening, with a 23% increase in jurisdictions with STR-specific rules since 2023

• Technology is reducing the operational gap between STR and LTR management, making both models more accessible

• Interest rates are easing, which may bring more supply to the market but also improve financing conditions for new acquisitions

• The cost of purchasing a home exceeds the cost of renting by about 40% according to PwC and the Urban Land Institute, keeping rental demand strong across both models

For investors entering the market in 2026, the most important step is to analyze your specific property and local market rather than relying on national averages. A short-term rental in a tourism-heavy market with limited supply and favorable regulations will vastly outperform one in an oversaturated city with new restrictions.

The bottom line

Short-term rentals earn more gross revenue — often 2–3x more per month. But after operating costs, the net advantage narrows to 30–80% above long-term rental income in favorable markets. In oversupplied or heavily regulated markets, long-term rentals can match or exceed STR net income with far less risk and effort.

The real winner in 2026 is not one model or the other — it is the investor who picks the right strategy for each property, automates operations, and makes decisions based on local data rather than national headlines.

If you are tired of juggling spreadsheets and separate tools to manage different rental models, SyncRent automates rent collection, tenant communication, maintenance coordination, and portfolio analytics across your entire portfolio — so you can focus on growing your investments instead of managing them.