Break-even occupancy: how to stress-test a rental arbitrage deal

Most deal models answer one question: how much will this unit make? A better first question is how many nights you need to sell just to stop losing money. That number, your break-even occupancy, tells you how much room a deal has before a slow month, a price war or a utility spike puts you underwater.

This guide shows how to calculate break-even occupancy from your own cost lines, how to stress-test it by changing one input at a time, and how to turn the result into a rent ceiling you can take into a landlord negotiation. Every figure below is an assumption for illustration, not a market benchmark.

Occupancy is booked nights divided by available nights. Break-even occupancy is the occupancy at which revenue exactly covers every cost for the month. Below it, you pay the difference out of your own pocket. Above it, you earn.

It is useful because it strips out optimism. A revenue projection depends on your guess about demand. Break-even depends mostly on things you can verify before signing: rent, utilities, insurance quotes, cleaning prices and platform fees. Once you know it, you compare it against what your comps actually achieve, especially in the slow months.

What it does not tell you is whether the deal is worth doing. A unit that breaks even at 50% and only ever reaches 55% is technically profitable and practically not worth the work. Treat break-even as a floor, then look at the gap between that floor and a conservative estimate of demand.

The calculation only works if you sort every cost into the right bucket.

• Fixed monthly costs do not change with bookings: rent, utilities and internet, insurance, software subscriptions, and a baseline supply budget. You pay these whether the unit is full or empty.
• Variable costs as a percentage of revenue: platform host fees and your maintenance reserve, if you set the reserve as a share of revenue.
• Variable costs per stay: cleaning and laundry. These are charged per turnover, so the cost per night depends on how long guests stay.

Then work out what one booked night actually contributes toward your fixed costs:

Contribution per night = nightly rate x (1 - percentage costs) - (cleaning cost per turnover / average stay in nights)

And from there:

Break-even nights per month = fixed monthly costs / contribution per night. Break-even occupancy = break-even nights / nights in the month.

Use a nightly rate that reflects the season and your status as a new listing, not the top of the comp set. If you are unsure how to pick that rate, start with average daily rate from comparable units and discount it, as described in our guide to the five numbers that matter in underwriting.

Assumptions for a one-bedroom unit, chosen only to show the method:

• Rent $1,800, utilities and internet $250, software $60, insurance $50, baseline supplies $100. Fixed costs: $2,260 a month.
• Nightly rate $180.
• Platform host fee 3% and maintenance reserve 5%, so 8% of revenue.
• Cleaning $80 per turnover, average stay of three nights.
• A 30-night month.

Contribution per night: $180 x 0.92 = $165.60, minus $80 / 3 = $26.67 in cleaning, leaves $138.93.

Break-even nights: $2,260 / $138.93 = 16.3 nights. Break-even occupancy: 16.3 / 30 = about 54%.

Occupancy taxes are left out here because they are usually collected from the guest and passed through. In a real model, confirm what the platform collects and remits at the specific address and what you must file yourself, and include any registration or permit costs in your fixed line.

A single break-even figure is fragile. The point of stress-testing is to see which input hurts most when it moves against you. Change one thing at a time, then combine the two worst.

Three things stand out on these assumptions.

1. Rate matters most. A 15% price cut, which is easy to see in a slow season or a new-listing ramp-up, adds about 12 points to break-even.
2. Short stays are a hidden cost. Fewer nights per booking means more turnovers, and cleaning eats more of each night.
3. Fixed-cost surprises are milder but permanent. A higher utility bill raises break-even every month of the year.

Now compare against demand. Say your comps run around 70% in peak months and 45% in low months (your own research, not these numbers, goes here). The base case clears peak comfortably but loses money in the low season. In the combined stress case, the unit would lose money in every month except the best ones. That is the kind of result you want to see before signing, not after.

Break-even math also works backward, and this is where it earns its keep in a negotiation. Decide the highest break-even occupancy you are willing to accept, then solve for rent.

Say you want the unit to break even at no more than 50% occupancy, or 15 nights in a 30-night month, using the base-case contribution of $138.93.

• 15 nights x $138.93 = $2,084 of fixed costs the unit can carry.
• Subtract the non-rent fixed costs: $2,084 - $460 = $1,624.

On these assumptions, $1,624 is your rent ceiling for that target. An asking rent of $1,800 does not automatically kill the deal, but it tells you what has to give: a longer lease, a rent step-up that starts lower, a cheaper furnishing plan to shorten payback, or longer average stays that cut cleaning per night. If none of those is available, you know your walk-away number before the call. You can rerun this with different targets in the rental arbitrage calculator.

Run the ceiling on your stressed contribution too. If the rent only works in the base case, you are betting the slow season goes well.

For mid-term rentals of 30 nights or more, nightly occupancy is less useful than a simpler question: how many empty weeks a year can the unit absorb?

Say a furnished unit rents for $3,000 a month to mid-term guests, with 8% in fees and reserve, and the same $2,260 in fixed costs. Each occupied month contributes $2,760 and leaves $500 after fixed costs. Each fully empty month costs the full $2,260.

That means one vacant month wipes out about four and a half occupied months of surplus. On these assumptions, two empty months in a year leaves you behind. The risk in mid-term is not low occupancy across the board but gaps between stays, so model the turnover gap explicitly: how long it takes to find the next guest, and whether you will fill the gap with shorter stays where local rules and your lease allow it. Our mid-term rentals guide covers who books these stays and how operators keep the gaps short.

Before you sign, write down the answers to these questions for the specific address:

• Is your break-even occupancy below what conservative comps reach in the shoulder season, not just peak?
• How many months a year sit below break-even on your seasonal model, and does your cash buffer cover the loss in those months back to back?
• Which single input moves break-even the most, and how confident are you in it?
• Does the deal still work in the combined stress case, or at least lose little enough that your buffer absorbs it?
• Is the asking rent at or below your rent ceiling for the break-even target you chose?
• Do you have written landlord consent, and have you confirmed city, county and HOA rules allow the use you modeled?

The last question is not an afterthought. A break-even figure for a use you cannot legally run is meaningless. Listings on ArbiBase come with consent and a rules check documented, which removes that variable, but the cost and demand inputs are still yours to verify.

This week, take one deal you are considering and sort every cost into fixed, percentage and per-stay buckets. Calculate break-even occupancy, run the four stress cases in the table, and work out the rent ceiling for the break-even target you are comfortable with. If the deal only clears break-even in the base case, you have your answer before you call the landlord.