How accurate are BNBCalc's estimates?
Last reviewed Oct 7, 2026 by Jeremy Werden
Short answer
BNBCalc's estimates are built from what comparable homes nearby actually earned, so they're only as good as those comps. They're strongest for common home sizes in active markets, and weakest for very large or unusual homes, rural areas with few listings, and properties unlike anything nearby. Check the comps before you rely on any figure.
What makes an estimate more reliable
Every BNBCalc revenue figure comes from a set of comparable listings, so the quickest way to judge an estimate is to look at the set behind it. A few things make the biggest difference:
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How many comps there are, and how close. An estimate built on dozens of exact bedroom matches within 5 km (about 3 miles) rests on far more evidence than one built on ten homes spread across 16 km (about 10 miles).
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How common the home is. Two- and three-bedroom homes in an active market have plenty of matches. Homes with six or more bedrooms, unusual layouts or rare features often don't, so the estimate has less to go on.
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How much the comps look like your property. The comp search matches on location, home type and bedrooms only, so a plain condo can end up compared with houses that have pools. If your property has something most comps lack, like a waterfront lot, or lacks something they share, the estimate won't reflect that until you filter or untick comps.
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How the comps are run. A listing that blocks off much of the year can earn far less than it could, which is why BNBCalc usually works from each comp's full-year potential rather than its raw earnings.
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Why the estimate can look high
If the estimate looks higher than you expected, there are four usual reasons:
- It's a benchmark for a well-run listing. A new analysis opens at the 70th percentile of the comps, and after your first change it's the median of the top-earning half, which sits near the 75th percentile.
- Each comp is valued at what it could earn if it were bookable all year, not at what it earned while its owner blocked off nights.
- It includes the cleaning fees guests pay.
- It's gross revenue, before the platform fee, cleaning and every other expense, which BNBCalc subtracts further down the analysis.
To see where the estimate sits in the full range, click How it's calculated under the revenue figure. It lists the 10th, 25th, 50th, 70th and 90th percentile of your comps' revenue, so if you expect to run the property more like a typical host, you can see roughly what that looks like.
How to check an estimate yourself
Before you rely on an estimate for an offer, it's worth ten minutes with the comps:
- Scroll to the comps table and the map below it. Click a few pins to see how far away each comp is.
- Open the comps that earn the most, using the link in the listing name, and compare their photos, size and amenities with your property. Untick any that aren't a fair match.
- Open Filters and keep only your property type, plus any amenity that matters in the area, such as a pool or hot tub.
- Compare each comp's Revenue (Actual) with its Revenue (Potential). A big gap means the host blocks a lot of nights, and the potential figure is doing more of the work.
- On a US property, run AI Underwriter for a second opinion. It compares each comp's photos, layout and amenities with yours and uses the median of the closest matches.
- Look at the wider area in BNBCalc Markets to see whether your estimate sits in line with homes of the same bedroom count.
What BNBCalc doesn't do
An estimate is a starting point for your own judgment, not a promise of income, and BNBCalc's printed reports say the same. In particular, BNBCalc:
- doesn't inspect your property or know how well it'll be furnished, priced and managed;
- doesn't check whether short-term rentals are allowed at the address, or what an HOA permits;
- doesn't forecast future demand, new competition or rate changes, because its revenue and occupancy figures come from past bookings (the growth rates in an analysis are assumptions you set);
- and doesn't replace a lender, CPA or attorney, so treat its tax and financing figures as planning estimates.
None of that makes the numbers less useful. It means they work best alongside a look at the listings themselves, a call to the city or county, and your own plan for running the place.
Frequently asked questions
Why does BNBCalc's revenue estimate differ from another tool's?
Tools differ in which listings they treat as comps, how far they search, whether they report an average, a median or a higher percentile, whether cleaning fees are included, and which 12 months they cover. BNBCalc shows its comps and its method, so you can see exactly where its number comes from.
Does BNBCalc work for large homes?
Yes, but homes with six or more bedrooms often have few true comps nearby, especially outside big markets, so the estimate leans on fewer listings or on homes one bedroom smaller. Check the comps table and map before relying on the number.
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Data & methodology
How does BNBCalc choose comparable listings?
BNBCalc picks comps from Airbnb, Vrbo and Booking.com listings near your property: entire homes with your bedroom count, or one bedroom either side when it needs more. It looks within 5 km (about 3 miles) first, widens to 16 km (about 10 miles) in quieter areas, and keeps between 10 and 50 comps.
Data & methodology
How does BNBCalc estimate revenue for a property?
BNBCalc estimates a property's annual revenue from up to 50 comparable Airbnb, Vrbo and Booking.com homes nearby, using what each could earn if it were bookable all year. The estimate benchmarks a well-run listing rather than the average, landing around the comps' 70th to 75th percentile, and it's gross revenue with cleaning fees included.
Property Calculator
How do I filter, include or exclude comps?
In a BNBCalc analysis, untick a comp in the comps table to leave it out of the revenue estimate, or click Filters next to Select comps to keep only houses or apartments, homes with a pool, hot tub or pets allowed, or listings rated 4.8 stars and up. The estimate updates as you go.
Data & methodology
Where does BNBCalc's data come from?
BNBCalc's short-term rental numbers come from listing data on Airbnb, Vrbo and Booking.com. BNBCalc tracks each listing's details, nightly rates, booked and blocked nights, and past 12 months of earnings as BNBCalc market data. Home values come from Zillow, US for-sale market data from Redfin, and long-term rent estimates from Zillow and RentRange.
Data & methodology
BNBCalc data and methodology updates
A dated log of changes to where BNBCalc's data comes from and how its numbers are calculated, newest first. The latest, from October 2026: new property analyses take comps from BNBCalc's own nearby-listing data, open at the 70th percentile of those comps, and start with 8% cleaning and a 15.5% host platform fee.
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