Mfa Financial (MFA) Total Non-Current Liabilities (2009 - 2024)
Mfa Financial (MFA) posted Total Non-Current Liabilities of $8.69 billion for Q1 2024, up 22.3% from $7.1 billion a year earlier and up 1.7% from the prior quarter.
Mfa Financial (MFA) Total Non-Current Liabilities (2009 - 2024) Analysis & Trends
At the end of FY2023, Mfa Financial's Total Non-Current Liabilities came in at $8.54 billion, up 25.3% from FY2022.
- Annual Total Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 1.6% (FY2018 to FY2023).
- In prior years, Mfa Financial's Total Non-Current Liabilities was $6.81 billion in FY2022 (+6.8%), $6.38 billion in FY2021 (+47.1%), $4.34 billion in FY2020 (-56.8%) and $10.03 billion in FY2019 (+27.3%).
- The Q1 2024 figure stands as the highest quarterly Total Non-Current Liabilities since Q4 2019.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last 11 quarters, with growth averaging 20.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2022, with growth of 75.9%; the weakest was Q4 2020, with a decline of 56.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $8.54 billion (Q4 2023), $8.04 billion (Q3 2023) and $7.57 billion (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.90 Bn | 29.58 Bn | - | - |
| 2 | Orix | 42.96 Bn | 43.46 Bn | - | 77.86 Bn |
| 3 | Royalty Pharma | 33.48 Bn | 33.39 Bn | - | 9.32 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 23.94 Bn | 23.94 Bn | - | 4,200.68 Bn |
| 5 | Affirm Holdings | 23.37 Bn | 17.06 Bn | - | 10.25 Bn |
| 6 | Synchrony Financial | 23.31 Bn | -44.66 Bn | - | 105.01 Bn |
| 7 | Royal Gold | 20.23 Bn | 19.45 Bn | 390.45 Mn | 1.76 Bn |
| 8 | Annaly Capital Management | 15.24 Bn | 6.34 Bn | - | 126.51 Bn |
| 9 | Ares Capital | 13.90 Bn | 11.34 Bn | - | 16.51 Bn |
| 10 | Mfa Financial | 809.71 Mn | -71.50 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 8.69 Bn |
| Dec 31, 2023 | 8.54 Bn |
| Sep 30, 2023 | 8.04 Bn |
| Jun 30, 2023 | 7.57 Bn |
| Mar 31, 2023 | 7.10 Bn |
| Dec 31, 2022 | 6.81 Bn |
| Sep 30, 2022 | 7.29 Bn |
| Jun 30, 2022 | 7.13 Bn |
| Mar 31, 2022 | 7.03 Bn |
| Dec 31, 2021 | 6.38 Bn |
| Sep 30, 2021 | 5.55 Bn |
| Jun 30, 2021 | 4.43 Bn |
| Mar 31, 2021 | 4.00 Bn |
| Dec 31, 2020 | 4.34 Bn |
| Sep 30, 2020 | 4.85 Bn |
| Jun 30, 2020 | 5.01 Bn |
| Mar 31, 2020 | 7.77 Bn |
| Dec 31, 2019 | 10.03 Bn |
| Sep 30, 2019 | 8.57 Bn |
| Jun 30, 2019 | 8.63 Bn |
Mfa Financial Total 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=total-non-current-liabilities&ticker=MFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();