The Number Everyone Quotes
The ratio survives because it is true and useful for one specific job: measuring the final negotiation. The typical sale closes about 7 percent below the final asking price, and that figure is remarkably stable across the county. The trouble starts when the same number is used to answer a different question, the one every seller actually cares about: how much of my price will I keep? The ratio cannot answer that question, because it is measured against a price that already reflects every earlier reduction. A listing that reduced its price twice before selling shows up in the statistic as if those reductions never happened.
How the Ratio Hides a Reduction
The arithmetic is easiest to see in one example. A home comes to market at ten million dollars, reduces to eight and a half million after two slow quarters, and sells for seven million nine hundred thousand. The multiple listing service records a 93 percent list-to-sale ratio, the sale price as a share of the final asking price. The seller received 79 percent of their original asking price. The same arithmetic applies to the 38 percent of the county's closings that involved at least one reduction. Measured against the final asking price, that group's median ratio reads 91.9 percent. Measured against the original asking price, it reads 83.9, a gap of 8 points that the quoted statistic never shows. Our repricing study measures whether those reductions helped homes sell. This article measures how the headline number hides them.
The Gap Grows with Time on Market
The two ratios are identical for a fresh listing and separate as time on market grows, because new listings have not yet had time to reduce. Sales agreed inside the first month show no gap at all: the final asking price is still the original one. By the second quarter on the market the gap is plainly visible, and beyond week twenty-six it reaches 8 points, the widest in the table. The last column measures the share of the seller's concession that the quoted ratio no longer shows. The longer a listing takes to sell, the less its final list-to-sale ratio says about what the owner actually kept. That matches the timing pattern in our week-twelve survival study.
Source: BeachesMLS, 1,204 closed residential sales at $3M+, August 2025 through July 2026
Source: BeachesMLS, closed residential sales at $3M+, trailing twelve months
The Ratio by Price Range
Both ratios fall as price rises, and the one measured from the original asking price falls faster. Sellers of homes between $3 million and $5 million stayed within 9 points of their original asking price at the median, because that range holds the deepest pool of buyers. Above $10 million the median sale closed at 87.5% of the original asking price. The spread between the two columns widens at each step up in price, because fewer buyers mean longer marketing periods and longer marketing periods bring reductions. A seller who benchmarks a $10 million listing against the county's overall 93 percent figure is relying on $4 million sales that faced a very different market.
Source: BeachesMLS, closed residential sales at $3M+, trailing twelve months
What the Ratio Never Counts
One more distortion sits under all of it: the ratio is computed only from homes that sold. Every listing that expired or was withdrawn contributes nothing to the statistic, because a sale that never happens has no sale price to divide. On Palm Beach island alone that was 180 listings across two recent years. The published figure describes the market's successes, and it is quoted as if it described everyone who tried. A seller weighing an ambitious original asking price should keep both facts in view. Among sellers who did close, the median sale came in at 90.7 percent of the original asking price. A whole group of sellers who priced past the market never entered the calculation at all. Survivorship bias pushes every published version of this ratio upward, and the effect is largest at the county's highest prices.
The Number to Use Instead
Two figures together give an honest picture. The first is the ratio of sale price to original asking price, 90.7 percent countywide, which measures the seller's outcome from the first price to the closing. The second is the share of sales at full price: 13 percent of the year's closings sold at or above their final asking price. That share shows how often buyers simply pay the asking price. A seller who works from those two figures, priced against actual closed sales through our selling process, is using the market's real arithmetic. A buyer who uses them through our buyer services knows that the quoted ratio understates the room for negotiation on a listing that has been on the market for months. The typical 7 percent discount is only the start of that conversation. Our study of 180 expired listings shows what happens when neither side reads these numbers.
Bottom Line
The list-to-sale ratio measures the final negotiation well and the seller's full outcome poorly, and the county quotes it as if it measured the outcome. Countywide, the two readings are 93.1 and 90.7 percent. For the two fifths of sellers who reduced at least once, they are 91.9 and 83.9. Sellers who plan against the lower number keep more of their price.
For sellers reading a comparable sale's ratio: Ask one question of every comparable: was its ratio measured against the original asking price or the final one? A 93 percent ratio on a home that never reduced is a sign of strength. The same ratio on a home that reduced twice can conceal a 16 percent concession from the original price, and the difference changes the whole negotiation.
This study covers every residential closing at $3,000,000 or above recorded in Palm Beach County from August 1, 2025 through July 31, 2026 with a complete price history. That yields 1,204 sales after deduplication and filtering to Palm Beach County municipalities. The quoted ratio divides the sale price by the final list price. The second ratio divides the sale price by the original list price, both as recorded in the MLS. Interim price changes between the original and the final price are not separately visible in the feed. Days on market measure list date to contract. Medians are used throughout. The dataset holds closed sales only: expired and withdrawn listings carry no ratio at all, which biases every published figure upward.
The example of the ten million dollar listing uses rounded illustrative numbers. Every statistical claim is computed from the dataset.
All data sourced from BeachesMLS via the Spark API, pulled August 2026.
