Mid-Term Rentals Are Out-Earning Airbnb on Net Income — Here's the 2026 Data Investors Are Missing
Lower gross revenue, higher net income: the operating math behind monthly rentals that 95% of investors have never modeled.
The Same House Is Making Two Investors Wildly Different Money
Two investors own identical 3-bedroom properties one block apart in Raleigh, North Carolina. One runs it as an Airbnb — optimized listing, dynamic pricing, the whole setup. The other runs it as a mid-term rental: a furnished unit on rolling 30-to-90-day leases for travel nurses, corporate relocators, and remote workers.
Same square footage. Same neighborhood. Same zip code. At the end of the year, the Airbnb host grossed $48,000. The mid-term rental operator grossed $41,000. On paper, the Airbnb looks like the winner.
It isn't. After nightly platform commissions, per-turnover cleaning fees, supply restocking, and the hard math of 55% occupancy, the Airbnb host's net operating income came in at $22,000. The mid-term operator — 90% occupancy, tenant-paid cleaning, zero platform commission — netted $31,500. That's a $9,500 gap on identical properties. And this spread is widening.
The mid-term rental (MTR) market — properties leased for 28 to 90 days — has grown 136% in demand since 2019 while short-term rental occupancy slid from 57% to barely 50%. The investors running this strategy aren't louder about it. They're just cashing bigger checks.
Furnished Finder, the dominant platform for monthly rentals, tracked this shift in real time: from 20,000 listings pre-pandemic to over 300,000 today, with more than 2 million annual tenant inquiries and 105% year-over-year growth in inbound demand. Urban monthly rental compound annual growth hit 16% from 2023 through late 2025. Monthly rentals now represent 19% of total U.S. rental demand — and it's the fastest-growing segment by a wide margin.
The tenants are structural: travel nurses, corporate project teams, insurance adjusters on extended assignments, relocating executives given 60-day housing budgets, remote workers who move seasonally. None of them want a hotel. None of them want a 12-month lease. They want a furnished home and a month-to-month commitment. And most cities still don't regulate 30-day stays the way they regulate nightly rentals. That regulatory arbitrage is real, material, and still wide open.
The Metric STR Investors Aren't Looking At
Short-term rental platforms are built to show you gross revenue. Airbnb's host dashboard highlights nights booked, average daily rate, and total earnings. What it doesn't surface clearly is how much of that revenue disappears before you see it.
The operating expense comparison is where the MTR advantage becomes undeniable.
STR operators typically spend 40% to 60% of gross revenue on operating costs: platform commissions (15%), per-turnover cleaning ($120–$200 per stay), supply restocking ($50–$100 per month), guest service overhead, and the revenue loss from every vacant night. Annual turnover costs for an active STR run $4,350 to $8,700 once you total cleaning, wear-and-tear replacement, and logistics — that's for a single property.
MTR operators spend 20% to 35% of gross revenue on operating costs. One cleaning per tenancy — not one per stay. No platform commission (Furnished Finder charges tenants directly). Tenant-responsible cleaning deposits built into the lease. Annual turnover costs of $600 to $1,200.
Same gross revenue range. Dramatically different net outcome.
The Numbers: MTR vs. STR vs. LTR
Data from AirROI's 2026 mid-term rental market analysis, modeled on a typical two-bedroom property:
| STR | MTR | LTR | |
|---|---|---|---|
| Gross Annual Revenue | $38,000–$55,000 | $33,600–$45,600 | $21,600–$30,000 |
| Net Operating Income | $15,000–$28,000 | $22,000–$34,000 | $16,000–$24,000 |
| Occupancy Rate | 50–65% | 80–95% | 95–100% |
| Operating Expenses | 40–60% of revenue | 20–35% of revenue | 15–25% of revenue |
| Annual Turnover Cost | $4,350–$8,700 | $600–$1,200 | $0–$400 |
The MTR column earns less gross revenue than STR — and still generates more net operating income in most scenarios. That's the operating leverage investors miss when they see "lower monthly rate" and stop reading.
The occupancy advantage compounds the math further. STR occupancy nationally averaged 50–55% in 2025. MTR occupancy typically runs 80–95%, with properties in high-demand healthcare corridors routinely hitting 95%+. You're not gambling on whether a Thursday gets filled. You have a signed lease.
Markets generating the highest MTR demand in 2026 include healthcare hub cities (Nashville, Houston, Phoenix, Philadelphia, Dallas, Raleigh), corporate relocation destinations (Austin, Denver, Charlotte, Atlanta), and mid-size metros with undersupplied furnished corporate housing (Boise, Columbus, Kansas City, Spokane). If a major hospital system anchors a growing metro, there's an MTR market — and it's usually underserved.
Common Mistakes Investors Make Here
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Pricing off annual lease comps. Monthly rental rates should carry a 25–40% premium over the unfurnished long-term equivalent for the same unit. Travel nurses and corporate relocators have per-diem housing budgets. You are not competing with Craigslist.
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Cutting corners on furnishing. MTR tenants stay 30–90 days and they actually use the kitchen. Cheap furniture and thin mattresses lose you renewals and agency referrals. Budget $8,000–$15,000 to furnish a 2-bedroom properly — quality mattresses, full cookware, streaming accounts, blackout curtains. This is a hospitality product, not a storage unit with a bed.
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Skipping tenant screening. MTRs attract higher-quality tenants on average, but short leases mean bad tenants do compressed damage. Run the same background and income checks you'd run for an annual lease. Travel nurse contracts from verified agencies are a reliable quality signal.
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Buying in the wrong market. MTR demand concentrates in healthcare hub cities and corporate relocation corridors. A rural or tertiary market won't generate the tenant funnel regardless of how well you furnish the unit. Verify the healthcare system presence and major employer footprint before you commit capital.
How to Use PropGPT for This
Prompt 1 — Find your target market:
"Which 15 cities have the highest volume of travel nurse placements combined with the lowest inventory of furnished monthly rentals? Include the ratio of active Furnished Finder listings to estimated annual nurse placement volume for each market."
This surfaces markets where MTR demand is outrunning supply — exactly the condition that creates pricing power and consistent occupancy.
Prompt 2 — Underwrite vs. STR side-by-side:
"I'm analyzing a 3BR/2BA in Nashville, TN. Purchase price $320,000. Run two scenarios: (1) mid-term rental at $3,800/month at 88% occupancy, and (2) STR at $185/night at 55% occupancy. Assume DSCR loan at 7.25%, 25% down, $12,000 furniture cost, $350/month operating expenses. Show me cap rate, cash-on-cash return, net operating income, and break-even occupancy for each strategy side by side."
This forces an apples-to-apples NOI comparison before you commit to a strategy — and the results usually surprise investors who've only modeled STR gross revenue.
Prompt 3 — Draft your lease:
"Draft a 30-day furnished rental lease agreement for a mid-term rental in [state]. Include tenant-responsible cleaning at checkout, a $500 pet deposit option, a utility allowance of $200/month included with tenant-paid overage, and automatic month-to-month renewal at the same rate. Flag any state-specific requirements for furnished rentals."
MTR leases are structurally different from annual leases — getting the language right before your first tenant protects you on cleaning disputes, utility overruns, and early termination.
Prompt 4 — Price your unit:
"What is the current market rate for a furnished 2BR mid-term rental in [city, neighborhood]? Compare active listings on Furnished Finder, Airbnb 28-day extended-stay rates, and corporate housing providers in the same area. Show me the hospital-proximity premium for units within 5 miles of [hospital name]."
Underpricing is the most expensive MTR mistake — this grounds your rate in current market data, not in what the unfurnished apartment two floors down is charging.
Prompt 5 — Build your agency pipeline:
"List the top 10 travel nurse staffing agencies placing nurses at [hospital name] in [city]. Which of these agencies have a preferred housing vendor program? What are the requirements to become an approved housing provider, and what does the application process look like?"
Getting on agency preferred vendor lists eliminates platform fees and delivers consistent, pre-screened tenants. This prompt maps your fastest path to filling every unit before it's empty.
The Bottom Line
Short-term rentals got the hype cycle. Mid-term rentals are getting the returns.
The operating math is unambiguous: MTR operators running 80–95% occupancy at 20–35% operating costs are generating higher net income than Airbnb hosts fighting to hold 55% occupancy while paying 40–60% in expenses. As STR regulation tightens in major metros and Airbnb continues adding supply to already-saturated markets, the MTR advantage compounds.
The demand is structural and growing. Travel nurse placements top one million annually and show no sign of declining. Corporate housing demand follows every project deployment, every executive relocation, every new hire who doesn't want to sign a 12-month lease in an unfamiliar city. That demand doesn't disappear — it just finds wherever the supply is.
If you haven't run the MTR scenario on your next acquisition, you're leaving money on the table and blaming Airbnb for the result. Open PropGPT, run Prompt 2 on your current pipeline, and compare the NOI columns. The math does the convincing.