Mfa Financial (MFA) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
Mfa Financial (MFA) posted Non-Current Debt of $96.76 million for Q3 2017, unchanged from $96.72 million a year earlier and unchanged from the prior quarter.
Mfa Financial (MFA) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
At the end of FY2016, Mfa Financial's Non-Current Debt came in at $96.73 million, down 18.4% from FY2015.
- Annual Non-Current Debt shows a five-year compound annual growth rate of -35.6% (FY2011 to FY2016).
- In prior years, Mfa Financial's Non-Current Debt was $118.6 million in FY2015 (+7.3%), $110.57 million in FY2014 (-69.8%), $366.21 million in FY2013 (+266.2%) and $100 million in FY2012 (-88.6%).
- The Q3 2017 figure stands as the highest quarterly Non-Current Debt since Q4 2015.
- On a year-over-year basis, Non-Current Debt increased in 1 of the last eight quarters, with an average decline of 2.6%.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was Q4 2012, with growth of 756.8%; the weakest was Q1 2013, with a decline of 89.7%.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $96.75 million (Q2 2017), $96.74 million (Q1 2017) and $96.73 million (Q4 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (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 | 6.06 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 26.46 Bn | -16,107.65 Bn | - | -54.25 Bn |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - | 589.00 Mn |
| 6 | Affirm Holdings | 22.07 Bn | 15.11 Bn | - | 467.47 Mn |
| 7 | Royal Gold | 21.71 Bn | 20.92 Bn | 402.46 Mn | -250.00 Mn |
| 8 | Ares Capital | 13.84 Bn | 11.59 Bn | - | -463.00 Mn |
| 9 | Annaly Capital Management | 13.83 Bn | 4.86 Bn | - | 1.66 Bn |
| 10 | Mfa Financial | 588.06 Mn | 577.22 Mn | - | -605.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -605.72 Mn |
| Jun 30, 2026 | -884.91 Mn |
| Mar 31, 2026 | -813.83 Mn |
| Dec 31, 2025 | -608.19 Mn |
| Sep 30, 2025 | -411.99 Mn |
| Jun 30, 2025 | -437.00 Mn |
| Mar 31, 2025 | -444.26 Mn |
| Dec 31, 2024 | -609.55 Mn |
| Sep 30, 2024 | -782.27 Mn |
| Jun 30, 2024 | -776.03 Mn |
| Mar 31, 2024 | -505.34 Mn |
| Dec 31, 2023 | -595.37 Mn |
| Sep 30, 2023 | -483.03 Mn |
| Jun 30, 2023 | -524.20 Mn |
| Mar 31, 2023 | -415.44 Mn |
| Dec 31, 2022 | -496.88 Mn |
| Sep 30, 2022 | -393.52 Mn |
| Jun 30, 2022 | -500.62 Mn |
| Mar 31, 2022 | -761.12 Mn |
| Dec 31, 2021 | -498.94 Mn |
Mfa Financial Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=MFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();