Real estate comps (comparables), explained
Real estate comps are recently sold — or, for rentals, recently leased — properties used to estimate a subject property's market value, after-repair value (ARV), or market rent. Good comps are close by, similar in size and condition, and recent. Adjustments account for differences like size, condition, or features.
Sales comps vs. rental comps
One tells you what a property is worth; the other tells you what it will rent for.
Sales comps estimate what a property would sell for on the open market, either its current as-is value or its ARV after renovations. You use sales comps to price an offer, underwrite a flip, or support an appraisal. They come from closed sales, not listing prices. Pending sales and active listings give directional information but are not the same as closed data.
Rental comps are recently leased properties used to estimate market rent for a subject unit. You use them to underwrite cash flow on a new acquisition, set an asking rent, or check whether an existing tenancy is at-market. Rental comps come from lease data; active listings on the major platforms are a reasonable proxy in liquid markets but reflect asking prices, not signed leases.
Flipping generally relies on sales comps. Buy-and-hold investing needs both: sales comps to establish what you’re paying relative to value, rental comps to underwrite income.
What makes a comp reliable
A comp is only as good as it is similar to the subject. Four things drive that:
Proximity. The best comps sit in the same neighborhood, ideally within a quarter to half mile in urban markets. A comp across a major highway, in a different school district, or at a noticeably different price point for the area is weaker, regardless of raw distance.
Recency. A sale from eight months ago in a market that has moved 5% tells you less than one from last month. In slow or stable markets, 12 months is workable with appropriate adjustment. In volatile markets, push for three to six months.
Physical similarity. Square footage, bedroom and bathroom count, lot size, year built, and garage count all affect value. The smaller the adjustments needed to reconcile the comp to the subject, the more useful the comp. A 1,400 sqft comp used to value a 1,100 sqft subject requires an adjustment that introduces estimation error, because the per-square-foot adjustment rate is itself an assumption.
Arm’s-length transaction. Foreclosure sales, estate sales at a discount, and sales between related parties can look like comps but reflect circumstances rather than market value. Filter them out or adjust aggressively.
Making adjustments
When a comp differs from the subject property, appraisers adjust the comp’s price up or down to estimate what it would have fetched if it were the subject. The adjustment amounts come from paired-sale analysis: comparing similar properties that differ on one specific attribute to isolate what the market pays for that attribute.
A simplified example: two otherwise identical houses on the same block, one with a two-car garage (sold for $285,000) and one without (sold for $271,000). The market’s implied value for the garage is $14,000. An appraiser uses that pairing to adjust any other comp whose garage differs from the subject’s.
Common adjustment categories:
- Gross living area (a per-square-foot value for the size difference)
- Bedroom and bathroom count
- Garage and parking
- Lot size (less relevant for attached or condo product)
- Condition and updates (kitchen and bath age, deferred maintenance)
- Year built
- Location within the submarket (backing to a busy road, proximity to amenities)
No comp is perfect. The goal is a set of adjusted sale prices that cluster around a reasonable range for the subject. Three comps that, after adjustment, land at $305,000, $298,000, and $312,000 give you a defensible estimate. Three that land at $285,000, $310,000, and $340,000 signal that either the comps aren’t truly comparable or there is genuine uncertainty in the market.
Using comps in your own underwriting
When pulling comps on an acquisition target, start with your county assessor’s office or an MLS feed for recent sales. Filter to closed sales in the prior six months, within a mile, and within 15–20% of the subject’s square footage. Check the condition notes or photos where available — a “comparable” that was fully renovated when the subject is distressed needs a significant adjustment downward before it works as an ARV benchmark.
For rental comps, listing rents are a starting point, not signed-lease data; a property manager or local agent can get you the latter. The gap between the two widens when the market softens.
CapScout lists each comp with its distance, sale date, and size next to the property metrics, so you can weigh the comps yourself instead of trusting one blended number.
Frequently asked questions
How recent do comps need to be?
Appraisers typically prefer sales within the past six months. In fast-moving markets, three months is better. Lenders often require at least three comps sold within 12 months, but they weight more recent ones more heavily. A comp from 18 months ago in a market where prices have moved 10% will skew your estimate in the wrong direction.
How far away can a comp be?
There is no fixed distance rule — market geography matters more than miles. In a dense urban neighborhood, a comp two blocks away in a different submarket may be less reliable than one a mile away in the same submarket. In rural or suburban areas, appraisers sometimes go several miles to find comparable sales. Neighborhood boundaries, school districts, and major roads all affect comparability.
What adjustments do appraisers make to comps?
Common adjustments include square footage, bedroom and bathroom count, garage, lot size, condition, age, and location. Each adjustment adds to or subtracts from the comp's sale price to estimate what it would have sold for if it matched the subject property. Adjustments are not standardized; they come from paired-sale analysis of actual market data.
Can I pull my own comps without an appraiser?
Yes, and it is standard practice in due diligence. Investors pull comps from MLS data (often through an agent or a platform that carries it), county assessor records, and paid data providers. The goal is the same as the appraiser's: find truly similar properties with confirmed sale prices. The limit of self-pulled comps is that you may not apply the adjustment methodology an appraiser uses, so your estimate is a range, not a certified value.
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