Free ARV Calculator — After Repair Value in 60 Seconds

What Is After Repair Value (ARV)?

After Repair Value, commonly abbreviated as ARV, is the estimated market value of a property after all planned renovations and repairs have been completed. It is the single most important number in any fix-and-flip or BRRRR (Buy, Rehab, Rent, Refinance, Repeat) deal because it determines how much you can sell or refinance the property for once the work is done.

ARV matters because every other number in a real estate investment flows from it. Your maximum allowable offer (MAO), your rehab budget ceiling, your projected profit margin, and even your financing terms all depend on an accurate ARV estimate. Overestimate ARV and you risk losing money on a deal. Underestimate it and you may pass on a profitable opportunity. According to the National Association of Realtors (NAR), traditional appraisals carry a 5-10% margin of error, which on a $400,000 property translates to a $20,000-$40,000 swing in either direction. For investors operating on thin margins, that level of uncertainty can be the difference between a profitable flip and a loss.

The Standard ARV Formula

The foundational ARV formula is straightforward:

Here is a worked example. Suppose you are analyzing a 1,500 square foot single-family home that needs a full kitchen remodel, new flooring, and exterior paint. You find three comparable sales within a half-mile radius that sold in the last 90 days, all in renovated condition:

• Comp 1: 1,450 sqft, sold for $290,000 ($200/sqft)
• Comp 2: 1,600 sqft, sold for $312,000 ($195/sqft)
• Comp 3: 1,520 sqft, sold for $304,000 ($200/sqft)

The average price per square foot across these comps is $198.33. Multiply by your subject property size: $198.33 x 1,500 sqft = $297,500 ARV. From there, you can apply the 70% rule: Maximum Offer = (ARV x 70%) - Repair Costs. If repairs are estimated at $45,000, your maximum offer would be ($297,500 x 0.70) - $45,000 = $163,250.

Why Comparable Sales Selection Matters

The accuracy of any ARV calculation depends almost entirely on the quality of the comparable sales used. A good comp should meet several criteria: it should be within a half-mile of the subject property (ideally in the same subdivision or neighborhood), it should have sold within the last 3-6 months, and it should be similar in size, style, bed/bath count, and condition to what the subject property will look like after renovation.

The challenge is that finding and properly adjusting comps is time-consuming. According to ATTOM Data Solutions, the average real estate investor spends 6-8 hours per deal on research and analysis. A significant portion of that time goes to pulling comps from MLS, public records, and listing sites, then manually adjusting each comp for differences in square footage, lot size, bedroom count, bathroom count, garage, pool, and overall condition.

How AI-Powered ARV Differs from Manual Comp Analysis

Traditional ARV calculation is a manual process. An investor or appraiser searches for recent sales, selects 3-5 comps based on their judgment, and applies adjustments using rules of thumb (for example, adding $5,000 per bedroom or $3,000 for a garage). This approach has two problems: it relies on subjective comp selection, and the adjustments are often based on generic guidelines rather than local market data.

AI-powered ARV analysis takes a fundamentally different approach. Instead of selecting a handful of comps manually, the algorithm scans every recent sale in the target area and assigns a relevance score to each one based on proximity, recency, property similarity, and condition. It then applies market-specific adjustment factors derived from regression analysis of actual sales data rather than generic rules of thumb. The result is a statistically grounded ARV estimate with a confidence range, not a single point estimate that may or may not reflect reality.

This approach also eliminates confirmation bias, which is a common problem in manual analysis. When an investor wants a deal to work, they may unconsciously select higher comps and ignore lower ones. An algorithm applies the same criteria consistently regardless of the desired outcome.

Common Mistakes When Calculating ARV

Even experienced investors make errors that throw off their ARV estimates. The most common mistakes include using comps that are too far away geographically (crossing school district or neighborhood boundaries), using comps that are too old (market conditions may have shifted), comparing properties of different types (a condo versus a single-family home), and failing to adjust for condition differences between the comps and the planned finished product.

Another frequent error is over-improving a property for the neighborhood. If every home on the street sells for $250,000-$280,000, installing a $60,000 kitchen with quartz countertops and custom cabinetry will not push the ARV to $350,000. The neighborhood ceiling acts as a cap on value regardless of how much you spend on renovations. Always analyze the upper range of recent sales in the immediate area before finalizing your rehab scope.

When and How to Use ARV in Your Investment Strategy

ARV is used at multiple stages of a real estate investment. During deal sourcing, you use a quick ARV estimate to filter out properties that do not meet your profit criteria. During underwriting, you refine the ARV with better comps and use it to calculate your maximum allowable offer. During the rehab phase, ARV guides your renovation decisions -- you want to renovate to a level that supports the target ARV without over-improving. And at disposition, ARV informs your listing price strategy.

For BRRRR investors, ARV is equally critical because it determines your refinance amount. Most lenders will refinance at 70-75% of the appraised (post-rehab) value. If your ARV estimate is off, you may not pull out enough equity to fund your next deal, disrupting your entire investment cycle.