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San Francisco July 2026 Price Momentum: Annual Gain, Recent Declines

By The Housing Current Editorial TeamSeptember 9, 20264 min read

San Francisco July 2026 price momentum shows annual gains and recent declines. Read Cotality’s figures, measurement limits and implications for pricing.

In its September 8 release, Cotality reported a 7.0% annual price gain for San Francisco in July 2026, alongside declines of 1.4% over one month and 2.6% over three months. For an agent pricing a new listing, that split in momentum makes the dates of comparable transactions crucial. The annual gain alone cannot establish the recent trend, and the release leaves the market’s exact geography and seasonal-adjustment conventions unconfirmed.

One price level, three comparison periods

The September report measures July 2026. Its San Francisco comparisons were:

Comparison Reported change
July 2026 versus July 2025 +7.0%
July 2026 versus June 2026 −1.4%
Three months ending in July, as reported −2.6%

A price level can remain above its year-earlier starting point after retreating from a more recent high. The different windows explain how annual appreciation and recent declines can coexist.

Consider a hypothetical index with readings of 100 last July, 112 in April, 111 in June and 109 this July. These are illustrative numbers, not Cotality’s actual readings. The index would be up 9% annually while below both April and June. The annual gain describes the net change across the year; it does not establish that appreciation continued during the latest month.

For a simple point-to-point three-month calculation ending in July, divide July’s index by April’s, subtract one and multiply by 100. That differs from averaging three monthly percentage changes. A negative three-month result also does not prove that every intervening month declined. Cotality’s precise calculation remains unverified: the public commentary does not supply the underlying monthly levels needed to reconstruct it.

What “San Francisco” covers

The release discusses San Francisco among metropolitan markets but provides no geographic code or county list in its public text. The exact footprint remains unconfirmed, so readers should not relabel these figures as city-only, county-only or Bay Area-wide results. Cotality’s accompanying release does not resolve that boundary question.

The property population is clearer at the product level. Cotality’s published methodology describes repeat-sales data and a Single-Family Combined tier covering attached and detached homes. The San Francisco commentary provides no separate sample breakdown, so the headline should not be read as a detached-only or condominium-only finding.

A repeat-sales index tracks price changes through repeat transactions rather than reporting the middle sale price for the month. That distinction matters when comparing this release with California median-price measures. When comparing series in our home-price data and reports and California housing coverage, check the geography, property coverage and measurement period alongside the reported percentage.

Are the periods seasonally adjusted alike?

The reviewed public release text does not explicitly label the annual, monthly or three-month San Francisco figures as seasonally adjusted or unadjusted. Whether all three use the same adjustment convention therefore remains unconfirmed.

Seasonal adjustment estimates and removes recurring seasonal movements to help separate those patterns from other changes. The Bureau of Labor Statistics explains that distinction, but this general principle does not identify Cotality’s convention.

The recent declines warrant investigation, but they do not by themselves quantify how much weakness exceeds a normal seasonal pattern. Before calculating a trend from downloaded data, verify that the geography, property tier, adjustment status and release version match across every observation. Do not turn the three-month decline into a yearly forecast: that would impose an assumption about what happens next.

What the release says about causes

Cotality suggests that elevated prices, buyer fatigue and uncertainty about AI-related wealth gains may explain weakness in expensive markets. Its September announcement offers those explanations without presenting a causal test that separates their effects.

A listing presentation should distinguish the publisher’s interpretation from the measured price changes. The index alone cannot establish why a particular buyer reduced an offer.

Match pricing evidence to the comparable’s dates

Fannie Mae’s April 1, 2026 Selling Guide, section B4-1.3-09, recognizes that an annual market trend can be positive while the interval relevant to a comparable sale is stable or declining. For appraisals subject to its requirements, that interval runs from the comparable’s contract date to the appraisal’s effective date. Both time adjustments and decisions to make none require evidence; an HPI can contribute to that support.

For an agent assessing a new listing, organize the analysis around three checks:

  • Comparable properties: Examine location, size and condition, and separate attached and detached homes. Freddie Mac’s market-area guidance explains that different property types can follow different price trends even within one neighborhood.
  • Comparable dates: Record contract dates alongside closing dates. A recent closing does not necessarily represent recently negotiated terms.
  • Current competition: Examine competing listings and available contract evidence alongside closed sales. July’s index cannot establish the prices buyers will accept in September.

Retain the September release with the pricing memo because Cotality says its indexes are revised with each release. Document the unresolved scope and adjustment questions alongside the figures in your local market research. A property-specific adjustment should rest on evidence for that property’s competitive market and relevant dates, with a qualified appraiser determining any adjustment used in a formal appraisal.

Written by

The Housing Current Editorial Team

Editorial Team

Reporting, analysis, and practical explainers across housing markets, mortgage finance, real estate business, investing, policy, and homebuilding.

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