Federal National Mortgage Association Fannie Mae (FNMA) Non-Current Debt (2009 - 2026)
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Analysis
Federal National Mortgage Association Fannie Mae (FNMA) Non-Current Debt (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 41.18 Bn | 9.90 Bn | 4.68 Bn | 35.36 Bn |
| 2 | Rocket Companies | 30.87 Bn | 16.55 Bn | - | 16.64 Bn |
| 3 | Affirm Holdings | 26.11 Bn | 19.80 Bn | - | 3.33 Bn |
| 4 | Royalty Pharma | 25.20 Bn | 22.16 Bn | - | 8.58 Bn |
| 5 | Synchrony Financial | 24.32 Bn | -43.65 Bn | - | 7.52 Bn |
| 6 | Federal National Mortgage Association Fannie Mae | 20.83 Bn | 20.83 Bn | - | -33.11 Bn |
| 7 | Royal Gold | 19.70 Bn | 18.88 Bn | 390.45 Mn | 395.89 Mn |
| 8 | Ares Capital | 13.30 Bn | 10.74 Bn | - | -4.00 Mn |
| 9 | Annaly Capital Management | 13.26 Bn | 4.30 Bn | - | 34.37 Bn |
| 10 | Federal Home Loan Mortgage | 10.54 Bn | -8.20 Bn | - | -21.67 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -33.11 Bn |
| Mar 31, 2026 | -31.42 Bn |
| Dec 31, 2025 | -73.93 Bn |
| Sep 30, 2025 | -56.77 Bn |
| Jun 30, 2025 | -59.15 Bn |
| Mar 31, 2025 | -28.78 Bn |
| Dec 31, 2024 | -29.19 Bn |
| Sep 30, 2024 | -40.63 Bn |
| Jun 30, 2024 | -36.94 Bn |
| Mar 31, 2024 | -31.05 Bn |
| Dec 31, 2023 | -38.35 Bn |
| Sep 30, 2023 | -36.81 Bn |
| Jun 30, 2023 | -35.73 Bn |
| Mar 31, 2023 | -18.59 Bn |
| Dec 31, 2022 | -23.80 Bn |
| Sep 30, 2022 | -41.26 Bn |
| Jun 30, 2022 | -62.35 Bn |
| Mar 31, 2022 | -27.33 Bn |
| Dec 31, 2021 | -75.18 Bn |
| Sep 30, 2021 | -41.88 Bn |
API Access
Federal National Mortgage Association Fannie Mae Non-Current Debt 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=non-current-debt&ticker=FNMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=FNMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();