Let’s take a look back at the second part of the year (July-December 2025) to take note of any trends happening.
** Link to all Market Metrics page at the bottom of this post. **
All data is for condos priced above $1M
(High-Rise, Mid-Rise + Lofts, no town homes are included)
Atlanta’s $1M+ condo market in the second half of 2025 moved like a market with plenty of inventory, selective demand, and just enough depth to stay active, but not enough to smooth out month to month volatility. Across July through December, there were only 51 closed sales in the transaction level data, which is the first clue as to why the charts swing so sharply. In a segment this thin, one or two unusual closings, a single month where older listings finally clear, or a handful of larger units trading can dramatically move averages like price per square foot and days on market. The broader trend, though, is consistent. Inventory stayed elevated through most of the fall, absorption remained modest, and buyers largely controlled the pace until December created a brief optical illusion of tightening.
While the second half of the year experienced noticeable month to month swings, the broader narrative remained remarkably consistent. September emerged as the strongest month for both pricing and market velocity, while October and December were heavily influenced by older inventory finally closing, temporarily distorting averages such as days on market and months of inventory. Throughout the period, buyers remained selective, rewarding well positioned properties while taking advantage of elevated inventory levels.
The headline numbers only tell part of the story. Looking beneath the surface reveals why some months appeared much stronger or weaker than they actually were, how product mix influenced pricing, and which trends are likely to shape Atlanta’s luxury condo market heading into 2026.
As the blog continues to grow, I’ll be sharing deeper market breakdowns like this through a complimentary subscriber section, giving you a more detailed look at what’s really happening behind the data.
