Airbnb vs Long-Term Rental Calculator

The Core Trade-Off

Short-term letting usually produces higher gross revenue than a long-term tenancy on the same property, and higher expenses with it. Once both sides are costed honestly the net figures often land close together, which turns the decision into a different question: whether the extra operational load is worth whatever net advantage remains.

Where the two nets come out similar, the long-term tenancy is doing the same job with less time and less regulatory exposure. Where the short-term net is clearly ahead, the premium has to cover the hours, the variability and the risk that local rules change. The calculator gives the first half of that; the rest sits around it.

Realistic Revenue Differentials

Gross revenue on a short let commonly runs between 150 and 300% of the long-term rent for the same property, depending on demand, amenities and how well it is run. The loaded figures here sit at the lower end of that: 4,200 against 2,300 is a multiple of 1.83, not the two or three times that gets quoted casually.

Location does most of the work. Eurostat’s data on short stays booked through the major platforms shows how concentrated the demand is: the twenty most popular regions account for nearly half of all guest nights across the European Union, and in 2025 an average of 2.6 million tourists a night stayed in accommodation booked this way. A property outside those clusters may show little premium over a long-term tenancy, which is the case the multiplier ranges tend to hide.

The Expense Gap

Long-term expenses commonly run 30 to 40% of gross rent, covering maintenance, letting or management fees, insurance, taxes and a vacancy allowance. Short-term expenses commonly run 50 to 70%, adding cleaning at every turnover, platform commission, guest utility usage, furniture replacement, more frequent repairs and specialised cover.

The loaded figures sit inside both bands: 2,500 against 4,200 is 59.5% on the short-term side, and 700 against 2,300 is 30.4% on the long-term side. Expressed the other way, the short let keeps 40.5% of its gross and the tenancy keeps 69.6%. That difference in net-to-gross is what closes most of the revenue gap before any comparison starts.

Worked Example for a Typical Property

Airbnb monthly revenue 4,200 against monthly expenses of 2,500. Long-term rent 2,300 against monthly expenses of 700.

Short-term net is 1,700 a month and long-term net 1,600, a difference of 100 a month or 1,200 a year. Across the year that is 20,400 against 19,200. The short let is ahead, but by 6.25% on the net figure, against a gross that is 83% higher. Whether 1,200 justifies the difference in workload is the actual decision, and it is not a financial question the calculator can settle.

When Airbnb Wins Decisively

Premium destinations with sustained visitor demand and high nightly rates. Properties with amenities that command a genuine price premium rather than a marginal one. Operators who are willing to run a hospitality business rather than hold an asset. Markets without restrictive local rules. Locations where the short-stay premium over long-term rent is wide rather than narrow, since a wide margin is what absorbs a bad month.

When Long-Term Wins

Restrictions on short lets in the area, whether caps, licensing or outright prohibition. Owners who value predictability and their own time. Markets where the short-stay premium is thin. Properties in residential areas rather than visitor ones. Owners unwilling to run guest communication, cleaning coordination and dynamic pricing. Long-term rent also tracks a slower, more measurable series: Eurostat publishes rent price indices alongside its house price index, and the two move on a scale of a few per cent a year rather than the swings a short-let calendar can produce.

The Time Investment Reality

A long-term tenancy is commonly described as taking one to three hours a month, mostly rent collection and occasional maintenance. A short let is commonly put at ten to twenty hours a month for guest messaging, cleaning coordination, listing upkeep, pricing and problem-solving. On the loaded figures that gap of nine to seventeen hours a month is 108 to 204 hours a year, set against an annual advantage of 1,200: somewhere between 5.88 and 11.11 an hour for the extra work.

Handing the work to a management company removes the hours but not the arithmetic. At a fee of 20% of revenue, 840 a month here, the short-term net falls to 860 and the long-term tenancy moves ahead by 8,880 a year. At 25% it is 650 against 1,600, and the tenancy is ahead by 11,400. A management fee does not narrow the short-term advantage on these figures; it reverses it.

Regulatory Risk Differential

Short lets carry regulatory exposure that long-term tenancies largely do not. A number of cities and regions have introduced registration requirements, night caps, licensing or prohibitions in residential zones, and rules have tended to tighten rather than loosen. A property bought specifically to let short-term is exposed to a change that can remove the business model outright, leaving the long-term figure as the fallback.

Residential letting is a fundamental use of housing and is rarely restricted in the same way. The asymmetry matters because the calculator prices only today’s rules: it cannot show a scenario in which one side of the comparison stops being available.

Hybrid Strategies

Some operators let short-term through a peak season and long-term through the rest of the year. Mid-term furnished lets of one to six months, aimed at relocating professionals, contractors or medical and university placements, sit between the two: furnished yields above a standard tenancy with turnover measured in months rather than nights.

The calculator compares the two pure strategies, so a hybrid falls between the figures it produces. Running it twice, once with each set of assumptions, brackets the range a mixed approach would land in.

What the Calculator Does Not Model

Time investment on either side, and what the operator’s hours are worth. Regulatory change. Differences in wear between a tenancy and constant turnover. Insurance, which is normally dearer for short lets. Tax treatment, which differs between furnished short-stay and residential letting in many countries. Lending, since some lenders treat short-let income cautiously or decline it. Appreciation differences between visitor and residential locations.

Two omissions matter most for the arithmetic itself. Vacancy is not modelled: a single empty month on the short-term side, which is a revenue figure of 3,850 rather than 4,200 averaged across the year, moves the result to the long-term tenancy being ahead by 3,000. Seasonality is not modelled either, and the flat monthly revenue input is where a year of uneven demand gets flattened.

Common Airbnb vs Long-Term Analysis Mistakes

Comparing gross revenue without costing both sides properly. Leaving the operator’s time out of the short-term side. Assuming the current regulatory position is permanent. Using peak-season revenue as a monthly average, which matters more than it sounds: Eurostat records a third of all platform guest nights falling in July and August alone, so a summer month is a poor proxy for the year. Omitting professional management fees while also assuming the work is not done personally. Treating a short let as passive income when it is an operating business.