Mfa Financial (MFA) Total Liabilities (2009 - 2026)
Mfa Financial's Total Liabilities was $11.93 billion in Q3 2026, up 16.1% from $10.28 billion a year earlier and up 0.4% from the prior quarter.
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Analysis
Mfa Financial (MFA) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Mfa Financial came in at $11.22 billion, up 17.3% from FY2024.
- Total Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $9.57 billion in FY2024 (+7.8%), $8.87 billion in FY2023 (+24.6%), $7.12 billion in FY2022 (+8.0%) and $6.6 billion in FY2021 (+49.7%).
- The Q3 2026 figure marks the highest quarterly Total Liabilities in data going back to Q1 2009.
- Compared with a year earlier, Total Liabilities has increased for 14 straight quarters, with growth averaging 13.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2022 (growth of 81.4%); the worst was Q1 2023 (a decline of 3.7%).
- Per Business Quant data, MFA's Total Liabilities in the three quarters before Q3 2026 was $11.88 billion (Q2 2026), $11.45 billion (Q1 2026) and $11.22 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Royalty Pharma | 39.80 Bn | 40.13 Bn | - | 9.67 Bn |
| 2 | Rocket Companies | 38.90 Bn | 27.72 Bn | - | 35.84 Bn |
| 3 | Orix | 38.66 Bn | 9.30 Bn | 13.83 Bn | 66.29 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.46 Bn | -16,107.65 Bn | - | 4,198.25 Bn |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - | 105.92 Bn |
| 6 | Affirm Holdings | 22.07 Bn | 15.11 Bn | - | 10.73 Bn |
| 7 | Royal Gold | 21.71 Bn | 20.92 Bn | 402.46 Mn | 1.59 Bn |
| 8 | Ares Capital | 13.84 Bn | 11.59 Bn | - | 16.65 Bn |
| 9 | Annaly Capital Management | 13.83 Bn | 4.86 Bn | - | 130.25 Bn |
| 10 | Mfa Financial | 588.06 Mn | 577.22 Mn | - | 11.93 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.93 Bn |
| Jun 30, 2026 | 11.88 Bn |
| Mar 31, 2026 | 11.45 Bn |
| Dec 31, 2025 | 11.22 Bn |
| Sep 30, 2025 | 10.28 Bn |
| Jun 30, 2025 | 9.85 Bn |
| Mar 31, 2025 | 9.68 Bn |
| Dec 31, 2024 | 9.57 Bn |
| Sep 30, 2024 | 9.28 Bn |
| Jun 30, 2024 | 9.19 Bn |
| Mar 31, 2024 | 8.99 Bn |
| Dec 31, 2023 | 8.87 Bn |
| Sep 30, 2023 | 8.26 Bn |
| Jun 30, 2023 | 7.79 Bn |
| Mar 31, 2023 | 7.29 Bn |
| Dec 31, 2022 | 7.12 Bn |
| Sep 30, 2022 | 7.49 Bn |
| Jun 30, 2022 | 7.33 Bn |
| Mar 31, 2022 | 7.58 Bn |
| Dec 31, 2021 | 6.60 Bn |
API Access
Mfa Financial Total Liabilities 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=total-liabilities&ticker=MFA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();