What Is Price per Square Foot?
Also known as: Price per Sq Ft, PPSF
Price per square foot reduces a sale to a comparable unit by dividing the sale price by the home’s finished living area. Wholesalers and buyers use it to compare properties of different sizes and to cross-check an after-repair value against what nearby homes have actually sold for.
Price per square foot reduces a sale to a comparable unit by dividing the sale price by the home’s finished living area. Wholesalers and buyers use it to compare properties of different sizes and to cross-check an after-repair value against what nearby homes have actually sold for.
Price per Square Foot explained
The calculation is simple, but the inputs decide whether it is useful. The area figure should be finished, heated living space above grade, usually from the county record or an appraisal, and the price should be an arm’s-length sale rather than a transfer between relatives. Pull a set of recent sales that match the subject in age, style, and condition, compute each one, and look at the spread. A subject’s square footage times a comp’s rate gives a rough value, which is why the metric sits beside comps in nearly every ARV workup.
Acquisitions managers lean on it when a seller describes a house loosely. If the seller says the place is a big four-bedroom, the number of square feet and the neighborhood’s going rate give a faster first read than digging through individual comps. Dispo managers use it in the other direction, showing buyers that the asking price sits in line with recent sales per square foot. For callers, the useful questions are the real size of the house, any additions, and whether the basement is finished.
Square-foot math misleads when the comparison is not clean. Small homes tend to show a higher rate than large ones in the same neighborhood, since fixed features like the kitchen and bathrooms are spread over less area. Unpermitted additions, finished basements counted inconsistently, and garage conversions muddy the area figure, and a renovated comp will always outrun a dated subject. Treat the rate as a cross-check on ARV, never the sole basis, and adjust for condition before trusting it.
Example
Four recent sales sit within a few blocks of a three-bedroom ranch that an acquisitions manager is pricing. Dividing each sale price by its living area shows the renovated homes clustered at one rate and the unrenovated ones well below it. Applying the lower cluster to the subject, which is dated and needs work, keeps the estimate honest.
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