What a good forecast looks like
A short-term rental forecast rests on one formula: booking revenue = available nights × occupancy × nightly rate, plus cleaning fees. A good forecast applies that formula month by month, then deducts platform fees, per-stay costs, and fixed costs to show how much cash you have at the end of each month.
The monthly view matters because short-term rental income is seasonal. AirDNA's national revenue per available night was $119 in January 2026 and $148 in May. Your rent or mortgage is the same in both months.
This guide builds a forecast for one example property: a leased two-bedroom at $1,800 a month, in a market that peaks in summer. The numbers are illustrative. The method works for any property.
Step 1: Count your available nights
Start with the nights you can actually sell. Take 365 and subtract:
- Nights you will use the property yourself
- Nights blocked for maintenance or deep cleaning
- Nights you cannot rent under local rules — some cities cap the number of nights a short-term rental can be let each year
Our example property is available all 365 nights. If yours is available for 300, every figure that follows should be built on 300.
Step 2: Set occupancy and nightly rate from comparable listings
Occupancy and average daily rate (ADR) are the two assumptions that decide your forecast. Take them from listings like yours, not from a national figure.
Find five to ten comparable listings: the same number of bedrooms, the same area, and a similar standard. For each one, check:
- The nightly rate in a peak month, a shoulder month, and a low month
- Weekday and weekend rates
- How full the calendar is two to four weeks ahead
- The cleaning fee and minimum stay
Market data tools can give you occupancy and rates for a whole area. For context, AirDNA forecasts average US occupancy of 57.4% for 2026, and the average US daily rate in January 2026 was $246.62 across all property sizes.
For the example, comparable listings point to 55% occupancy and a $220 average nightly rate across the year.
Skip the Blank Spreadsheet
Enter your nightly rate, occupancy, length of stay, and seasonal pattern, and get a five-year forecast with cash flow and break-even — in Excel or Google Sheets.
Get the Airbnb Financial Model Template →Step 3: Build the year month by month
An annual average of 55% and $220 hides how the year actually runs. Set a separate occupancy and nightly rate for each month, based on what your comparable listings do across the seasons.
| Month | Occupancy | Booked nights | Nightly rate | Nightly revenue |
|---|---|---|---|---|
| January | 39% | 12 | $185 | $2,220 |
| February | 43% | 12 | $190 | $2,280 |
| March | 52% | 16 | $205 | $3,280 |
| April | 53% | 16 | $210 | $3,360 |
| May | 58% | 18 | $215 | $3,870 |
| June | 67% | 20 | $240 | $4,800 |
| July | 74% | 23 | $255 | $5,865 |
| August | 71% | 22 | $245 | $5,390 |
| September | 57% | 17 | $220 | $3,740 |
| October | 55% | 17 | $215 | $3,655 |
| November | 43% | 13 | $190 | $2,470 |
| December | 48% | 15 | $220 | $3,300 |
| Year | 55% | 201 | $220 | $44,230 |
The year still averages 55% and $220. But July earns about 2.6 times as much as January. June to August bring in 36% of the year's nightly revenue, and November to February only 23%.
Your market may look different. A ski town peaks in winter, and a city with steady business travel may be almost flat. Use the pattern your comparable listings show.
Step 4: Turn nights into stays and cleaning fees
Costs like cleaning happen once per stay, not once per night, so you need to know how many stays your booked nights represent.
Stays = booked nights ÷ average length of stay
With an average stay of 3.5 nights, 201 booked nights is about 57 stays a year. At a $140 cleaning fee per stay, close to AirDNA's $142 average for a US two-bedroom, that adds $8,040 of cleaning fees and brings booking revenue to $52,270.
Length of stay changes the picture quickly. The same 201 nights would be about 80 stays at an average of 2.5 nights, or about 40 stays at 5 nights. More stays mean more cleaning fees collected, but also more turnovers to pay for and more wear on the property.
Step 5: Deduct platform fees and per-stay costs
Next, take off the costs that only occur when you have a booking.
| Variable cost | Basis | Annual amount |
|---|---|---|
| Airbnb host service fee | 15.5% of booking revenue | $8,102 |
| Cleaning | $140 per stay | $8,040 |
| Guest supplies | $20 per stay | $1,149 |
| Maintenance and replacements | 5% of nightly revenue | $2,212 |
| Total variable costs | $19,503 |
Most hosts now pay Airbnb a single host-only fee of 15.5% of the booking subtotal. The subtotal includes the cleaning fee, so $21.70 of every $140 cleaning fee goes to the platform. Occupancy taxes are collected from the guest and passed to the tax authority, so leave them out of both revenue and costs.
Step 6: Subtract fixed costs and map cash by month
Fixed costs fall due every month whether or not you have bookings. For the example property they are $1,800 rent, $400 utilities and internet, $183 insurance, $50 software, and $25 towards the annual permit: $2,458 a month.
Put the monthly revenue, variable costs, and fixed costs together, and you can see your cash position through the year:
| Month | Booking revenue | Variable costs | Fixed costs | Net cash | Cumulative |
|---|---|---|---|---|---|
| January | $2,700 | $1,078 | $2,458 | −$836 | −$836 |
| February | $2,760 | $1,090 | $2,458 | −$788 | −$1,624 |
| March | $3,920 | $1,503 | $2,458 | −$41 | −$1,665 |
| April | $4,000 | $1,519 | $2,458 | $23 | −$1,642 |
| May | $4,590 | $1,728 | $2,458 | $404 | −$1,238 |
| June | $5,600 | $2,022 | $2,458 | $1,120 | −$118 |
| July | $6,785 | $2,396 | $2,458 | $1,931 | $1,813 |
| August | $6,270 | $2,247 | $2,458 | $1,565 | $3,378 |
| September | $4,420 | $1,649 | $2,458 | $313 | $3,691 |
| October | $4,335 | $1,632 | $2,458 | $245 | $3,936 |
| November | $2,990 | $1,181 | $2,458 | −$649 | $3,287 |
| December | $3,900 | $1,455 | $2,458 | −$13 | $3,274 |
| Year | $52,270 | $19,500 | $29,496 | $3,274 |
Monthly figures are rounded, so totals can differ by a few dollars from the annual calculation in Step 5.
The year ends $3,274 ahead. But five months lose money, and by the end of March the property is $1,665 behind. An annual forecast would show a small profit and miss the fact that you need cash in hand to get through the winter. That gap is what your operating reserve is for.
Step 7: Add a ramp-up period for a new listing
The table above describes a mature listing. A new one has no reviews and little visibility in search, so its first months usually book fewer nights.
A simple way to model this is to scale the first three months. Suppose the example listing launches in January and books 60%, 75%, and 90% of a mature listing's nights in its first three months:
- First-year booked nights fall from 201 to 191
- First-year nightly revenue falls from $44,230 to $42,325, about 4% lower
- First-year net cash falls from $3,274 to $1,878
- The lowest cash point deepens from −$1,665 to −$3,061
The ramp-up percentages are assumptions, so test more than one. The lesson holds either way: launching into the low season with no reviews nearly doubles the cash you need to carry the property. If you can choose your launch date, aim to open a month or two before your peak season.
Step 8: Stress-test with scenarios
Your base case is a best estimate, not a promise. Before you commit, run at least one worse case and one better case.
| Scenario | Booked nights | Occupancy | Nightly revenue | Annual net cash |
|---|---|---|---|---|
| Downside: 15% fewer nights, 5% lower rates | 171 | 47% | $35,716 | −$3,138 |
| Base case | 201 | 55% | $44,230 | $3,274 |
| Upside: 10% more nights, 5% higher rates | 221 | 61% | $51,086 | $8,483 |
In the downside case, the property loses about $3,100 a year. If you could not absorb that, the property is too tight at this rent. For how to find the exact occupancy at which a property covers its costs, see how profitable an Airbnb is in 2026.
Common forecasting mistakes
- Using peak-season rates for the whole year — a July rate applied to January overstates revenue badly
- Assuming 365 available nights — when you plan to use the property yourself or local rules cap your nights
- Treating cleaning fees as profit — they are mostly passed straight to your cleaner
- Forgetting the platform fee on cleaning fees — Airbnb's fee applies to the whole booking subtotal
- Using an old 3% host fee — most hosts now pay 15.5%
- Skipping the ramp-up — a new listing rarely books like an established one in its first months
- Counting occupancy taxes as revenue — they belong to the tax authority
- Looking only at the annual total — the slow months are where cash runs out
From forecast to financial model
The forecast in this guide covers one year of bookings and cash. To decide whether to buy or lease a property, or to show the numbers to a lender or partner, you need more:
- Your launch costs, from furnishing to permits — see our Airbnb startup costs guide
- A mortgage or loan schedule alongside your own equity
- A forecast that runs several years, not one
- A P&L, cash flow statement, and balance sheet that tie together
- Return measures such as IRR, NPV, and payback period
You can build all of this yourself in a spreadsheet. If you would rather start from a finished structure, our Airbnb short-term rental financial model template has it in place.
Airbnb Short-Term Rental Financial Model Template
Enter your nightly rate, occupancy, length of stay, cleaning fees, and seasonal pattern — and get a five-year forecast with full financial statements. Built for hosts and investors, not finance teams. Excel and Google Sheets both included.
- 5-year financial projection
- Occupancy & nightly rate forecasting
- Seasonality & length of stay inputs
- Cleaning & platform fee tracking
- Startup cost planner
- Break-even analysis
- 3-statement financial model
- Excel & Google Sheets
Frequently asked questions
How do you forecast Airbnb income?
Multiply the nights available each month by your expected occupancy and nightly rate, then add cleaning fees. Do this month by month rather than once for the year, because occupancy and rates change with the season. Then deduct the platform fee, per-stay costs, and fixed costs to see your cash.
What occupancy rate should I assume for a new Airbnb?
Start from comparable listings in your area rather than a national figure, and assume your first months will run below a mature listing while you build reviews. For reference, AirDNA forecasts average US occupancy of 57.4% for 2026.
How do I account for seasonality in an Airbnb forecast?
Set a separate occupancy and nightly rate for each month, based on how comparable listings price and book across the year. In our example, July earns about 2.6 times as much as January, even though the annual average looks steady.
Does Airbnb's service fee apply to the cleaning fee?
Yes. The host service fee, 15.5% for most hosts in 2026, applies to the booking subtotal, which includes the nightly rate and the cleaning fee. Taxes are excluded.
Should I forecast Airbnb income monthly or annually?
Monthly. An annual average hides the slow months when bookings do not cover fixed costs. In our example the year ends $3,274 ahead, but cash falls $1,665 behind by the end of March.
Sources
- AirDNA — 2026 Midyear Outlook, as reported by ShortTermRentalz (2026 occupancy forecast)
- GlobeSt, citing AirDNA (January 2026 daily rate and revenue per available night)
- AirDNA — US review, May 2026 (May 2026 revenue per available night)
- BNBCalc — Airbnb statistics by city (median occupancy for a typical listing)
- AirDNA — Airbnb cleaning fees (average cleaning fee for a two-bedroom)
- Hostfully — Airbnb host fees in 2026 and Hostaway — Airbnb's single host fee (host-only service fee)
The worked example uses illustrative assumptions, not data from a real property. Figures are US-based and vary by market, property, and operator. This article is general information, not financial, legal, or tax advice. Airbnb is a trademark of Airbnb, Inc. Finmodelbuilder is not affiliated with or endorsed by Airbnb.
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