Federal Home Loan Mortgage (FMCC) Provision for Credit Losses (2009 - 2026)
Federal Home Loan Mortgage (FMCC) reported Provision for Credit Losses of $800 million for Q3 2026, up 357.1% from $175 million a year earlier.
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Analysis
Federal Home Loan Mortgage (FMCC) Provision for Credit Losses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Federal Home Loan Mortgage's Provision for Credit Losses came in at -$348 million; for FY2025, it was $1.29 billion, up 171.0% from FY2024.
- Provision for Credit Losses has a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- By year, Provision for Credit Losses came in at $476 million in FY2024, -$872 million in FY2023, $1.84 billion in FY2022 and -$1.04 billion in FY2021.
- The Q3 2026 figure ranks as the highest quarterly Provision for Credit Losses since Q3 2022.
- Year over year, Provision for Credit Losses gained in three of the last four quarters, with growth averaging 116.8%.
- Per Business Quant data, the three quarters before Q3 2026 came in at -$880 million (Q2 2026), -$320 million (Q1 2026) and $52 million (Q4 2025).
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 | 800.00 Mn |
| Jun 30, 2026 | -880.00 Mn |
| Mar 31, 2026 | -320.00 Mn |
| Dec 31, 2025 | 52.00 Mn |
| Sep 30, 2025 | 175.00 Mn |
| Jun 30, 2025 | 783.00 Mn |
| Mar 31, 2025 | 280.00 Mn |
| Dec 31, 2024 | 92.00 Mn |
| Sep 30, 2024 | -191.00 Mn |
| Jun 30, 2024 | 394.00 Mn |
| Mar 31, 2024 | 181.00 Mn |
| Dec 31, 2023 | -248.00 Mn |
| Sep 30, 2023 | -304.00 Mn |
| Jun 30, 2023 | -638.00 Mn |
| Mar 31, 2023 | 395.00 Mn |
| Dec 31, 2022 | 575.00 Mn |
| Sep 30, 2022 | 1.80 Bn |
| Jun 30, 2022 | 307.00 Mn |
| Mar 31, 2022 | -837.00 Mn |
| Dec 31, 2021 | 138.00 Mn |
API Access
Federal Home Loan Mortgage 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=FMCC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "FMCC", "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=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();