Mfa Financial (MFA) Interest Expenses (2009 - 2026)
Mfa Financial (MFA) recorded Interest Expenses of $138.2 million in Q2 2026, up 8.8% from $127.07 million a year earlier and up 4.1% from the prior quarter.
Mfa Financial (MFA) Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Mfa Financial's Interest Expenses came in at $534.88 million as of Jun 30, 2026, up 5.1% year-over-year; for FY2025, it came in at $513.98 million, down 1.4% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $521.23 million in FY2024 (+21.5%), $429.12 million in FY2023 (+65.8%), $258.84 million in FY2022 (+115.0%) and $120.39 million in FY2021 (-55.2%).
- The Q2 2026 figure is the highest quarterly Interest Expenses in data going back to Q2 2009.
- On a year-over-year basis, Interest Expenses has increased for three consecutive quarters, with growth averaging 3.9% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 146.3% in Q3 2022, against a decline of 48.1% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $132.74 million (Q1 2026), $134.94 million (Q4 2025) and $129 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.90 Bn | 29.58 Bn | - | 374.00 Mn |
| 2 | Orix | 42.96 Bn | 43.46 Bn | - | 281.69 Mn |
| 3 | Royalty Pharma | 33.48 Bn | 33.39 Bn | - | 93.62 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 23.94 Bn | 23.94 Bn | - | 33.32 Bn |
| 5 | Affirm Holdings | 23.37 Bn | 17.06 Bn | - | 118.51 Mn |
| 6 | Synchrony Financial | 23.31 Bn | -44.66 Bn | - | 975.00 Mn |
| 7 | Royal Gold | 20.23 Bn | 19.45 Bn | 390.45 Mn | 10.01 Mn |
| 8 | Annaly Capital Management | 15.24 Bn | 6.34 Bn | - | 1.32 Bn |
| 9 | Ares Capital | 13.90 Bn | 11.34 Bn | - | 214.00 Mn |
| 10 | Mfa Financial | 809.71 Mn | -71.50 Mn | - | 138.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.20 Mn |
| Mar 31, 2026 | 132.74 Mn |
| Dec 31, 2025 | 134.94 Mn |
| Sep 30, 2025 | 129.00 Mn |
| Jun 30, 2025 | 127.07 Mn |
| Mar 31, 2025 | 122.97 Mn |
| Dec 31, 2024 | 127.53 Mn |
| Sep 30, 2024 | 131.35 Mn |
| Jun 30, 2024 | 133.34 Mn |
| Mar 31, 2024 | 129.02 Mn |
| Dec 31, 2023 | 123.41 Mn |
| Sep 30, 2023 | 113.02 Mn |
| Jun 30, 2023 | 99.85 Mn |
| Mar 31, 2023 | 92.84 Mn |
| Dec 31, 2022 | 87.23 Mn |
| Sep 30, 2022 | 71.58 Mn |
| Jun 30, 2022 | 56.74 Mn |
| Mar 31, 2022 | 43.30 Mn |
| Dec 31, 2021 | 35.70 Mn |
| Sep 30, 2021 | 29.07 Mn |
Mfa Financial Interest Expenses 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=interest-expenses&ticker=MFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();