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Sales-to-New-Listings Ratio: The Indicator That Turns First

Ask whether a market is tightening or loosening and the answer almost always arrives as a selling time. It is the most quoted indicator, and it is the slowest one. A different measure turns weeks earlier, and it is built from two numbers already sitting in front of you. For the monthly backdrop, see our read of Montreal home sales in July 2026.

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Two numbers and one division

The ratio divides sales closed in a period by new listings that appeared in the same period. The QPAREB release of August 6, 2026 supplies both terms for July 2026: 7,407 sales province-wide, and 11,303 new listings. The division lands near 65.5%.

What the number says fits in a sentence: for every ten properties newly brought to market that month, just under seven found a buyer, counting all sales in the month including those of older listings. So it is not a success rate per listing. It is an absorption measure: it compares what leaves the market against what enters it, over the same window.

Why selling time arrives late

It comes down to the observation window, and that explains everything. An average selling time is computed on properties that have already sold. Each was listed weeks, sometimes months, earlier. What a July figure measures is spring supply meeting summer demand. The ratio instead sets flows from the same month side by side: a July listing against a July sale.

A practical consequence follows. When demand softens, the ratio slips right away, but selling times can keep improving for a while, because the easiest properties, listed earlier, are the ones finishing their run. Reading that improvement as strength amounts to studying a boat's wake to guess where it is heading.

Inventory, the third term

At the end of July 2026, 41,166 listings were active across Quebec. Set against the 7,407 sales of the month, that inventory represents roughly 5.6 months of absorption at the observed pace. The ratio and the stock do not measure the same thing: the first covers the period's flows, the second the accumulation. A ratio sliding while stock builds describes one situation; a ratio sliding while stock drains describes another.

Months of inventory carries a weakness worth knowing: it is computed off the current sales pace, which is itself changing. When that pace slows, the month count climbs for two reasons at once, a rising numerator and a falling denominator. The swing then overstates the phenomenon it describes.

Aggregation level changes the answer

A provincial ratio is a starting point, not a conclusion. It aggregates markets whose flows move neither at the same speed nor in the same direction, and its average can comfortably mask opposite situations across districts. The measure becomes decision-grade when it covers the segment and district of the property at hand, computed on the same two numbers, sales and new listings, restricted to that scope.

One caution comes with that descent: below a certain transaction count the ratio turns unstable, and a handful of sales can flip it. In those cases, publish the two raw numbers rather than the quotient, which projects a precision the sample does not carry.

What the ratio does not say

It signals pressure on flows, not a price movement. Whether one becomes the other depends on further factors, starting with buyer borrowing capacity and the mix of properties actually trading. A ratio can also hold up thanks to an inflow of well-located new listings rather than an excess of demand. So look at both terms separately before commenting on their quotient.

Putting it to work this week

If you are selling, ask for your district and property type the sales count and the new-listings count for the last full month, then run the division yourself. Compare it against the same calculation a year earlier. If you are buying, that same pair of numbers tells you whether fresh supply is clearing or piling up in the market you are entering. Either way, you hold the information several weeks before it surfaces in an average selling time.

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Written by Hamza T., OACIQ-certified real estate broker · Graduate diploma in AI, UQAR

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