Federal National Mortgage Association Fannie Mae (FNMFO) Provision for Credit Losses (2009 - 2026)
Federal National Mortgage Association Fannie Mae's Provision for Credit Losses was $1.14 billion in Q3 2026, up 237.3% from $338 million a year earlier and up 135.1% from the prior quarter.
Federal National Mortgage Association Fannie Mae (FNMFO) Provision for Credit Losses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Federal National Mortgage Association Fannie Mae's Provision for Credit Losses was $2.2 billion through Sep 30, 2026, up 35.1% year-over-year; for FY2025, it came in at $1.61 billion.
- Provision for Credit Losses shows a five-year compound annual growth rate of 18.8% (FY2020 to FY2025).
- In earlier years, 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 marks the highest quarterly Provision for Credit Losses since Q4 2022.
- Compared with a year earlier, Provision for Credit Losses was higher in two of the last four quarters, with growth averaging 89.5%.
- Per Business Quant data, FNMFO's Provision for Credit Losses in the three quarters before Q3 2026 was $485 million (Q2 2026), $277 million (Q1 2026) and $298 million (Q4 2025).
Peer Comparison
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 |
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=FNMFO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=FNMFO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();