Why Property Valuations Are Still Based on Comps From Six Months Ago

Ask any property manager who has tried to refinance or sell a unit in a shifting market, and you'll hear the same frustration: the appraiser pulled comps that closed before the rate environment changed. The data was technically valid. It was just six months old and pointed in the wrong direction.

This isn't a rare edge case. It's how valuation works in most markets, most of the time. The comp window that appraisers and brokers rely on runs 90 to 180 days behind current transaction activity. In a stable market, that lag doesn't cost much. In a market that moves — and most markets moved significantly between 2023 and 2025 — that lag can mean a valuation that's off by 8 to 12 percent in either direction.

Where the Lag Comes From

The recording delay is the obvious part. A sale closes, then the deed gets recorded with the county, then it gets picked up by data aggregators, then it filters into MLS systems and valuation tools. That process takes four to eight weeks in most jurisdictions. In some counties in Florida, it runs longer.

But that's only the first layer. The more persistent problem is how comps get selected. Appraisers working under standard guidelines look for sales within a defined radius and time window. The default window is usually 90 days, sometimes extended to six months if there aren't enough comparable transactions nearby. In low-volume neighborhoods or specialty property types, going back six months isn't unusual — it's required to find enough data points to build a credible analysis.

By the time you're averaging a cap rate from sales that closed in the first quarter against a market that's behaving differently now, you're making decisions with a rearview mirror.

The Practical Cost

For a 40-unit multifamily building in a mid-tier Sun Belt market, a six-month lag in comp data can translate to a valuation spread of $400,000 to $700,000 depending on how fast local conditions moved. That's not a rounding error. It affects refinancing terms, insurance coverage decisions, and asking prices.

On the rent side, the distortion runs in the other direction. Operators who rely on survey-based rent data — the kind published quarterly by research firms — are typically seeing numbers that reflect leases signed months ago. Actual market rents for available units right now can differ by 5 to 9 percent from what the quarterly benchmarks show. That gap is where you either leave money on the table or push too hard and add 30 days of vacancy to every unit turn.

We've looked at rent data across properties in Florida, Texas, and Georgia over the past 18 months, and the pattern is consistent. Portfolios relying on quarterly benchmarks for pricing decisions consistently underpriced or overpriced relative to what units were actually clearing at. The ones that pulled live listing data alongside closed transactions came in closer to market.

Why Teams Don't Fix It

The lazy answer is that operators just don't have access to current data. That's not really true anymore. Listing platforms update in near-real time. Transaction databases with 30-day refresh cycles exist. Some of the larger property management platforms now surface market rent ranges updated weekly for major metros.

The more honest answer is that pulling current data requires changing a workflow that's been working well enough for a long time. If your valuation process runs on a spreadsheet that gets updated when someone remembers to update it, adding a live data pull means changing how that spreadsheet gets built, who builds it, and how often. That's friction most teams don't want when existing processes aren't visibly broken.

The problem is that "not visibly broken" isn't the same as "not costing you money." A valuation that's 6 percent low on a $3 million property means a refinancing structure that leaves roughly $180,000 in equity untapped. That doesn't show up as a line item anywhere. It's just a missed opportunity that never gets counted.

What Fresher Data Looks Like in Practice

The fix isn't complicated, but it requires making current comparable data part of the standard review cycle — not just something you pull when a major transaction is on the table.

For rent pricing, that means weekly or biweekly pulls of active listings within your comp radius, filtered by unit type and condition tier. Not quarterly surveys. Active listings.

For asset valuation, it means layering recent pending sales (not just closed) into your comp pool, and flagging any comp that's more than 60 days old with a confidence discount. A comp from last month in a flat market is reliable. A comp from five months ago in a market that moved 7 percent deserves a qualifier.

For portfolio-wide tracking, it means having a system that runs these pulls automatically rather than requiring someone to remember to do it. The operators we work with who get this right aren't pulling data manually — they've built automated valuation refreshes into their monthly reporting cycle so the numbers are always current when they need them.

The Bigger Picture

Property valuation has a data freshness problem that the industry has largely normalized. Six-month-old comps are treated as acceptable because that's how the process has always worked. But acceptable doesn't mean accurate, and the cost of the gap adds up across a portfolio over time.

The managers who will price correctly — both for assets and for rents — in 2026 are the ones who stop treating valuation as a point-in-time exercise and start treating it as a continuous feed. The data to do this exists. It's mostly a question of whether you've built your process around using it.