Federal National Mortgage Association Fannie Mae (FNMFO) Treasury Stock (2009 - 2026)
Federal National Mortgage Association Fannie Mae's Treasury Stock came in at $7.4 billion for Q3 2026, unchanged from $7.4 billion a year earlier and unchanged from the prior quarter.
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Analysis
Federal National Mortgage Association Fannie Mae (FNMFO) Treasury Stock (2009 - 2026) Analysis & Trends
Going back to Q2 2009, Federal National Mortgage Association Fannie Mae's Treasury Stock data covers 69 quarters.
- Treasury Stock carries a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Going back by year, Treasury Stock was $7.4 billion in FY2024 (unchanged), $7.4 billion in FY2023 (unchanged), $7.4 billion in FY2022 (unchanged) and $7.4 billion in FY2021 (unchanged).
- Business Quant data shows FNMFO's Treasury Stock at $7.4 billion (Q2 2026), $7.4 billion (Q1 2026) and $7.4 billion (Q4 2025) in the three quarters before Q3 2026.
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Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.40 Bn |
| Jun 30, 2026 | 7.40 Bn |
| Mar 31, 2026 | 7.40 Bn |
| Dec 31, 2025 | 7.40 Bn |
| Sep 30, 2025 | 7.40 Bn |
| Jun 30, 2025 | 7.40 Bn |
| Mar 31, 2025 | 7.40 Bn |
| Dec 31, 2024 | 7.40 Bn |
| Sep 30, 2024 | 7.40 Bn |
| Jun 30, 2024 | 7.40 Bn |
| Mar 31, 2024 | 7.40 Bn |
| Dec 31, 2023 | 7.40 Bn |
| Sep 30, 2023 | 7.40 Bn |
| Jun 30, 2023 | 7.40 Bn |
| Mar 31, 2023 | 7.40 Bn |
| Dec 31, 2022 | 7.40 Bn |
| Sep 30, 2022 | 7.40 Bn |
| Jun 30, 2022 | 7.40 Bn |
| Mar 31, 2022 | 7.40 Bn |
| Dec 31, 2021 | 7.40 Bn |
API Access
Federal National Mortgage Association Fannie Mae Treasury Stock 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=treasury-stock&ticker=FNMFO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-stock", "ticker": "FNMFO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=treasury-stock&ticker=FNMFO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();