Federal National Mortgage Association Fannie Mae (FNMA) Total Liabilities (2009 - 2026)
Federal National Mortgage Association Fannie Mae (FNMA) reported Total Liabilities of $4.2 trillion for Q3 2026, down 0.8% from $4.23 trillion a year earlier and down 0.4% from the prior quarter.
Federal National Mortgage Association Fannie Mae (FNMA) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Federal National Mortgage Association Fannie Mae posted Total Liabilities of $4.21 trillion, down 1.1% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- By year, Total Liabilities came in at $4.26 trillion in FY2024 (+0.2%), $4.25 trillion in FY2023 (+0.1%), $4.25 trillion in FY2022 (+1.5%) and $4.18 trillion in FY2021 (+5.6%).
- The Q3 2026 figure ranks as the lowest quarterly Total Liabilities since Q4 2021.
- Year over year, Total Liabilities has now declined in each of the last five quarters, with an average decline of 0.4% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2021 (growth of 5.6%); the low point was Q1 2026 (a decline of 1.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $4.22 trillion (Q2 2026), $4.2 trillion (Q1 2026) and $4.21 trillion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 40.92 Bn | 9.64 Bn | 12.74 Bn | 83.16 Bn |
| 2 | Rocket Companies | 39.10 Bn | 24.78 Bn | - | 37.43 Bn |
| 3 | Federal National Mortgage Association Fannie Mae | 30.68 Bn | 30.68 Bn | - | 4,198.25 Bn |
| 4 | Royalty Pharma | 29.92 Bn | 26.88 Bn | - | 10.03 Bn |
| 5 | Affirm Holdings | 24.11 Bn | 17.80 Bn | - | 10.31 Bn |
| 6 | Synchrony Financial | 24.06 Bn | -43.57 Bn | - | 105.92 Bn |
| 7 | Royal Gold | 19.92 Bn | 19.10 Bn | 390.45 Mn | 1.82 Bn |
| 8 | Federal Home Loan Mortgage | 15.72 Bn | -2.96 Bn | - | 3,451.23 Bn |
| 9 | Annaly Capital Management | 13.97 Bn | 4.93 Bn | - | 130.25 Bn |
| 10 | Ares Capital | 13.74 Bn | 11.49 Bn | - | 16.65 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4,198.25 Bn |
| Jun 30, 2026 | 4,215.85 Bn |
| Mar 31, 2026 | 4,201.97 Bn |
| Dec 31, 2025 | 4,208.53 Bn |
| Sep 30, 2025 | 4,230.37 Bn |
| Jun 30, 2025 | 4,236.59 Bn |
| Mar 31, 2025 | 4,255.40 Bn |
| Dec 31, 2024 | 4,255.07 Bn |
| Sep 30, 2024 | 4,244.03 Bn |
| Jun 30, 2024 | 4,237.41 Bn |
| Mar 31, 2024 | 4,241.81 Bn |
| Dec 31, 2023 | 4,247.76 Bn |
| Sep 30, 2023 | 4,255.66 Bn |
| Jun 30, 2023 | 4,254.67 Bn |
| Mar 31, 2023 | 4,253.41 Bn |
| Dec 31, 2022 | 4,245.01 Bn |
| Sep 30, 2022 | 4,230.61 Bn |
| Jun 30, 2022 | 4,232.56 Bn |
| Mar 31, 2022 | 4,233.27 Bn |
| Dec 31, 2021 | 4,181.81 Bn |
Federal National Mortgage Association Fannie Mae Total Liabilities 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=total-liabilities&ticker=FNMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "FNMA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=FNMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();