Federal National Mortgage Association Fannie Mae (FNMA) Provision for Credit Losses (2009 - 2026)
Federal National Mortgage Association Fannie Mae's Provision for Credit Losses came in at $1.14 billion for Q3 2026, up 237.3% from $338 million a year earlier and up 135.1% from the prior quarter.
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Analysis
Federal National Mortgage Association Fannie Mae (FNMA) Provision for Credit Losses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Federal National Mortgage Association Fannie Mae reported Provision for Credit Losses of $2.2 billion, up 35.1% year-over-year; for FY2025, it was $1.61 billion.
- Provision for Credit Losses carries a five-year compound annual growth rate of 18.8% (FY2020 to FY2025).
- Going back by year, Provision for Credit Losses was -$186 million in FY2024, -$1.67 billion in FY2023, $6.31 billion in FY2022 and -$5.13 billion in FY2021.
- The Q3 2026 figure represents the highest quarterly Provision for Credit Losses since Q4 2022.
- Year-over-year, Provision for Credit Losses increased in two of the last four quarters, with growth averaging 89.5%.
- Business Quant data shows FNMA's Provision for Credit Losses at $485 million (Q2 2026), $277 million (Q1 2026) and $298 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Royalty Pharma | 39.80 Bn | 40.13 Bn | - | -88.32 Mn |
| 2 | Rocket Companies | 38.90 Bn | 27.72 Bn | - | - |
| 3 | Orix | 38.66 Bn | 9.30 Bn | 13.83 Bn | 14.87 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.46 Bn | -16,107.65 Bn | - | 1.14 Bn |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - | 1.27 Bn |
| 6 | Affirm Holdings | 22.07 Bn | 15.11 Bn | - | 259.36 Mn |
| 7 | Royal Gold | 21.71 Bn | 20.92 Bn | 402.46 Mn | - |
| 8 | Ares Capital | 13.84 Bn | 11.59 Bn | - | - |
| 9 | Annaly Capital Management | 13.83 Bn | 4.86 Bn | - | - |
| 10 | Federal Home Loan Mortgage | 12.64 Bn | -328.33 Bn | - | 800.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.14 Bn |
| Jun 30, 2026 | 485.00 Mn |
| Mar 31, 2026 | 277.00 Mn |
| Dec 31, 2025 | 298.00 Mn |
| Sep 30, 2025 | 338.00 Mn |
| Jun 30, 2025 | 946.00 Mn |
| Mar 31, 2025 | 24.00 Mn |
| Dec 31, 2024 | 321.00 Mn |
| Sep 30, 2024 | -27.00 Mn |
| Jun 30, 2024 | -300.00 Mn |
| Mar 31, 2024 | -182.00 Mn |
| Dec 31, 2023 | 116.00 Mn |
| Sep 30, 2023 | -652.00 Mn |
| Jun 30, 2023 | -1.27 Bn |
| Mar 31, 2023 | 176.00 Mn |
| Dec 31, 2022 | 3.28 Bn |
| Sep 30, 2022 | 2.54 Bn |
| Jun 30, 2022 | 260.00 Mn |
| Mar 31, 2022 | 254.00 Mn |
| Dec 31, 2021 | -840.00 Mn |
API Access
Federal National Mortgage Association Fannie Mae Provision for Credit Losses 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=provision-for-credit-losses&ticker=FNMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=FNMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();