Mfa Financial (MFA) Other Non-Current Liabilities (2009 - 2024)
Mfa Financial (MFA) reported Other Non-Current Liabilities of $304.03 million for Q1 2024, up 58.6% from $191.68 million a year earlier but down 9.5% from the prior quarter.
Mfa Financial (MFA) Other Non-Current Liabilities (2009 - 2024) Analysis & Trends
At the end of FY2023, Mfa Financial posted Other Non-Current Liabilities of $336.03 million, up 7.9% from FY2022.
- Other Non-Current Liabilities has increased for three consecutive years, though with a five-year compound annual growth rate of -21.5% (FY2018 to FY2023).
- By year, Other Non-Current Liabilities came in at $311.47 million in FY2022 (+42.8%), $218.06 million in FY2021 (+209.2%), $70.52 million in FY2020 (-53.8%) and $152.61 million in FY2019 (-86.4%).
- Five-year quarterly Other Non-Current Liabilities spans a low of $35 million in Q2 2020 and a high of $1.17 billion in Q2 2019.
- Year over year, Other Non-Current Liabilities has now increased in each of the last four quarters, with growth averaging 0.6% over the last eight quarters.
- The high point for year-over-year Other Non-Current Liabilities in five years was Q2 2021 (growth of 623.1%); the low point was Q2 2020 (a decline of 97.0%).
- Per Business Quant data, the three quarters before Q1 2024 came in at $336.03 million (Q4 2023), $218.31 million (Q3 2023) and $223.29 million (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.90 Bn | 29.58 Bn | - |
| 2 | Orix | 42.96 Bn | 43.46 Bn | - |
| 3 | Royalty Pharma | 33.48 Bn | 33.39 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 23.94 Bn | 23.94 Bn | - |
| 5 | Affirm Holdings | 23.37 Bn | 17.06 Bn | - |
| 6 | Synchrony Financial | 23.31 Bn | -44.66 Bn | - |
| 7 | Royal Gold | 20.23 Bn | 19.45 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 15.24 Bn | 6.34 Bn | - |
| 9 | Ares Capital | 13.90 Bn | 11.34 Bn | - |
| 10 | Mfa Financial | 809.71 Mn | -71.50 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 304.03 Mn |
| Dec 31, 2023 | 336.03 Mn |
| Sep 30, 2023 | 218.31 Mn |
| Jun 30, 2023 | 223.29 Mn |
| Mar 31, 2023 | 191.68 Mn |
| Dec 31, 2022 | 311.47 Mn |
| Sep 30, 2022 | 196.48 Mn |
| Jun 30, 2022 | 200.87 Mn |
| Mar 31, 2022 | 547.79 Mn |
| Dec 31, 2021 | 218.06 Mn |
| Sep 30, 2021 | 335.96 Mn |
| Jun 30, 2021 | 253.08 Mn |
| Mar 31, 2021 | 179.71 Mn |
| Dec 31, 2020 | 70.52 Mn |
| Sep 30, 2020 | 66.48 Mn |
| Jun 30, 2020 | 35.00 Mn |
| Mar 31, 2020 | 921.48 Mn |
| Dec 31, 2019 | 152.61 Mn |
| Sep 30, 2019 | 1.13 Bn |
| Jun 30, 2019 | 1.17 Bn |
Mfa Financial Other Non-Current 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=other-non-current-liabilities&ticker=MFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();