Federal National Mortgage Association Fannie Mae (FNMFO) Treasury Shares (2009 - 2026)
Federal National Mortgage Association Fannie Mae (FNMFO) posted Treasury Shares of 150.68 million for Q3 2026, unchanged from 150.68 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Federal National Mortgage Association Fannie Mae (FNMFO) Treasury Shares (2009 - 2026) Analysis & Trends
Since Q2 2009, Federal National Mortgage Association Fannie Mae has reported Treasury Shares for 70 quarters.
- Annual Treasury Shares shows a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In prior years, Federal National Mortgage Association Fannie Mae's Treasury Shares was 150.68 million in FY2024 (unchanged), 150.68 million in FY2023 (unchanged), 150.68 million in FY2022 (unchanged) and 150.68 million in FY2021 (unchanged).
- According to Business Quant data, Treasury Shares for the three prior quarters was 150.68 million (Q2 2026), 150.68 million (Q1 2026) and 150.68 million (Q4 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 150.68 Mn |
| Jun 30, 2026 | 150.68 Mn |
| Mar 31, 2026 | 150.68 Mn |
| Dec 31, 2025 | 150.68 Mn |
| Sep 30, 2025 | 150.68 Mn |
| Jun 30, 2025 | 150.68 Mn |
| Mar 31, 2025 | 150.68 Mn |
| Dec 31, 2024 | 150.68 Mn |
| Sep 30, 2024 | 150.68 Mn |
| Jun 30, 2024 | 150.68 Mn |
| Mar 31, 2024 | 150.68 Mn |
| Dec 31, 2023 | 150.68 Mn |
| Sep 30, 2023 | 150.68 Mn |
| Jun 30, 2023 | 150.68 Mn |
| Mar 31, 2023 | 150.68 Mn |
| Dec 31, 2022 | 150.68 Mn |
| Sep 30, 2022 | 150.68 Mn |
| Jun 30, 2022 | 150.68 Mn |
| Mar 31, 2022 | 150.68 Mn |
| Dec 31, 2021 | 150.68 Mn |
API Access
Federal National Mortgage Association Fannie Mae Treasury Shares 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-shares&ticker=FNMFO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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-shares&ticker=FNMFO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();