Mfa Financial (MFA) Provision for Credit Losses (2015 - 2026)
Mfa Financial (MFA) recorded Provision for Credit Losses of -$354,000 in Q3 2026.
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Analysis
Mfa Financial (MFA) Provision for Credit Losses (2015 - 2026) Analysis & Trends
For FY2024, Mfa Financial reported Provision for Credit Losses of $1.14 million.
- Across earlier years, Provision for Credit Losses came in at $28.58 million in FY2022.
- The Q3 2026 figure is the lowest quarterly Provision for Credit Losses since Q2 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 | Mfa Financial | 588.06 Mn | 577.22 Mn | - | -354,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -354,000.00 |
| Jun 30, 2026 | 317,000.00 |
| Mar 31, 2026 | -317,000.00 |
| Jun 30, 2025 | -614,000.00 |
| Mar 31, 2025 | 614,000.00 |
| Jun 30, 2024 | 26,000.00 |
| Mar 31, 2024 | 1.11 Mn |
| Dec 31, 2023 | -7.84 Mn |
| Jun 30, 2023 | 265,000.00 |
| Mar 31, 2023 | 315,000.00 |
| Dec 31, 2022 | -1.58 Mn |
| Sep 30, 2022 | 547,000.00 |
| Jun 30, 2022 | 28.58 Mn |
| Mar 31, 2022 | -3.47 Mn |
| Dec 31, 2021 | -3.43 Mn |
| Sep 30, 2021 | -9.63 Mn |
| Jun 30, 2021 | -8.58 Mn |
| Mar 31, 2021 | -22.37 Mn |
| Dec 31, 2020 | -18.58 Mn |
| Sep 30, 2020 | -30.06 Mn |
API Access
Mfa Financial 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=MFA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "MFA", "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=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();