Mfa Financial (MFA) Short-Term Debt repayments (2009 - 2026)
Mfa Financial (MFA) reported Short-Term Debt repayments of $1.07 billion for Q3 2026, up 16.7% from $915.3 million a year earlier and up 74.7% from the prior quarter.
Mfa Financial (MFA) Short-Term Debt repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Mfa Financial's Short-Term Debt repayments came in at $3.16 billion, up 0.1% year-over-year; for FY2025, it came in at $2.7 billion, up 1.1% from FY2024.
- Short-Term Debt repayments has a five-year compound annual growth rate of -34.2% (FY2020 to FY2025).
- By year, Short-Term Debt repayments came in at $2.67 billion in FY2024 (-8.4%), $2.91 billion in FY2023 (-2.0%), $2.97 billion in FY2022 (+63.1%) and $1.82 billion in FY2021 (-91.6%).
- The Q3 2026 figure ranks as the highest quarterly Short-Term Debt repayments since Q4 2024.
- Year over year, Short-Term Debt repayments gained in six of the last eight quarters, with growth averaging 23.0%.
- The high point for year-over-year Short-Term Debt repayments in five years was Q3 2022 (growth of 317.9%); the low point was Q4 2022 (a decline of 74.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $611.15 million (Q2 2026), $797.39 million (Q1 2026) and $680.79 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Royalty Pharma | 39.80 Bn | 40.13 Bn | - | - |
| 2 | Rocket Companies | 38.90 Bn | 27.72 Bn | - | - |
| 3 | Orix | 38.66 Bn | 9.30 Bn | 13.83 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 26.46 Bn | -16,107.65 Bn | - | - |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - | - |
| 6 | Affirm Holdings | 22.07 Bn | 15.11 Bn | - | - |
| 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 | - | 2,460.94 Bn |
| 10 | Mfa Financial | 588.06 Mn | 577.22 Mn | - | 1.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.07 Bn |
| Jun 30, 2026 | 611.15 Mn |
| Mar 31, 2026 | 797.39 Mn |
| Dec 31, 2025 | 680.79 Mn |
| Sep 30, 2025 | 915.30 Mn |
| Jun 30, 2025 | 692.57 Mn |
| Mar 31, 2025 | 406.56 Mn |
| Dec 31, 2024 | 1.14 Bn |
| Sep 30, 2024 | 697.62 Mn |
| Jun 30, 2024 | 539.06 Mn |
| Mar 31, 2024 | 290.02 Mn |
| Dec 31, 2023 | 921.90 Mn |
| Sep 30, 2023 | 746.25 Mn |
| Jun 30, 2023 | 476.09 Mn |
| Mar 31, 2023 | 766.60 Mn |
| Dec 31, 2022 | 226.09 Mn |
| Sep 30, 2022 | 1.02 Bn |
| Jun 30, 2022 | 1.14 Bn |
| Mar 31, 2022 | 586.88 Mn |
| Dec 31, 2021 | 880.73 Mn |
Mfa Financial Short-Term Debt repayments 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=short-term-debt-repayments&ticker=MFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();