Federal National Mortgage Association Fannie Mae (FNMAJ) Sale of AFS Securities (2009 - 2026)
Federal National Mortgage Association Fannie Mae's Sale of AFS Securities came in at $99 million for Q3 2026, down 88.1% from the prior quarter.
Federal National Mortgage Association Fannie Mae (FNMAJ) Sale of AFS Securities (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Federal National Mortgage Association Fannie Mae reported Sale of AFS Securities of $4.23 billion; for FY2021, it came in at $582 million, up 61.2% from FY2020.
- Sale of AFS Securities carries a five-year compound annual growth rate of -44.8% (FY2016 to FY2021).
- Going back by year, Sale of AFS Securities was $361 million in FY2020 (-32.8%), $537 million in FY2019 (-29.3%), $760 million in FY2018 (-61.8%) and $1.99 billion in FY2017 (-82.5%).
- The Q3 2026 figure represents the lowest quarterly Sale of AFS Securities since Q2 2020.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 99.00 Mn |
| Jun 30, 2026 | 831.00 Mn |
| Mar 31, 2026 | 3.30 Bn |
| Jun 30, 2021 | 467.00 Mn |
| Mar 31, 2021 | 115.00 Mn |
| Dec 31, 2020 | 103.00 Mn |
| Sep 30, 2020 | 137.00 Mn |
| Jun 30, 2020 | 71.00 Mn |
| Mar 31, 2020 | 50.00 Mn |
| Dec 31, 2019 | 161.00 Mn |
| Jun 30, 2019 | 245.00 Mn |
| Mar 31, 2019 | 131.00 Mn |
| Dec 31, 2018 | 31.00 Mn |
| Sep 30, 2018 | 21.00 Mn |
| Jun 30, 2018 | 6.00 Mn |
| Mar 31, 2018 | 648.00 Mn |
| Dec 31, 2017 | 783.00 Mn |
| Sep 30, 2017 | 187.00 Mn |
| Jun 30, 2017 | 771.00 Mn |
| Mar 31, 2017 | 151.00 Mn |
Federal National Mortgage Association Fannie Mae Sale of AFS Securities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=sale-of-afs-securities&ticker=FNMAJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sale-of-afs-securities", "ticker": "FNMAJ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=sale-of-afs-securities&ticker=FNMAJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();