EXHOSLUSM495S · as of 2026-09-01
Existing Home Sales
Existing Home Sales
View on FRED · EXHOSLUSM495S ↗3990.00M
yoy
▼ 2.21%
13 obs · monthly · millions── 1y ago 4080.00M
What it is
Liquidity signal. How fast you can close and how motivated sellers are.
- source
- FRED
- frequency
- monthly
- units
- millions
- s.a.
- yes
Note: SAAR, in units.
What it’s telling us · as of 2026-09-01
Existing home sales hit 3.99 million units in September, down 2.2% from a year ago — a modest softness that's held steady over the past eight months without cracking further. The trajectory suggests demand has found a floor rather than entering free fall; September's uptick from August's dip signals some seasonal resilience. For investors, the read is that liquidity remains functional but not generous — you're not looking at fire-sale conditions, and neither are sellers, which means negotiating room stays narrow and time-to-close stays predictable.
⟡ auto-generated weekly · claude-haiku-4-5 · reviewed before publish
Related metrics
Get the data
Python · fredapi
"""
Existing Home Sales — Liquidity signal. How fast you can close and how motivated sellers are.
Freq: monthly · Source: FRED
"""
from fredapi import Fred
fred = Fred(api_key="YOUR_FRED_API_KEY")
series = fred.get_series("EXHOSLUSM495S")
print(series.tail())LLM prompt
You are analyzing FRED series EXHOSLUSM495S — Existing Home Sales. Context: Liquidity signal. How fast you can close and how motivated sellers are. Attributes - Units: millions - Frequency: monthly - Source: FRED Latest observation: 3990.00M as of 2026-09-01 Year-over-year change: -2.21% Analyze this metric for a tech-forward real estate investor with 1–3 properties. What is it signaling right now? What should I watch next?