Mfa Financial (MFA) Interest Expense - Fed Funds (2010 - 2020)
Mfa Financial (MFA) posted Interest Expense - Fed Funds of $72.7 million for Q1 2020, up 2.7% from $70.81 million a year earlier and up 2.2% from the prior quarter.
Mfa Financial (MFA) Interest Expense - Fed Funds (2010 - 2020) Analysis & Trends
For the trailing twelve months through Mar 31, 2020, Interest Expense - Fed Funds at Mfa Financial was $293.94 million, up 27.6% year-over-year; for FY2019, it came in at $292.05 million, up 42.2% from FY2018.
- Annual Interest Expense - Fed Funds has increased for six consecutive years, with a five-year compound annual growth rate of 15.0% (FY2014 to FY2019).
- In prior years, Mfa Financial's Interest Expense - Fed Funds was $205.34 million in FY2018 (+10.2%), $186.35 million in FY2017 (+0.7%), $184.99 million in FY2016 (+10.8%) and $166.92 million in FY2015 (+14.9%).
- Quarterly Interest Expense - Fed Funds has run from a low of $40.22 million in Q2 2015 to a high of $9.48 billion in Q3 2015 over five years.
- On a year-over-year basis, Interest Expense - Fed Funds has increased in each of the last four quarters, with an average decline of 33.8% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expense - Fed Funds in the past five years was Q2 2019, with growth of 64.1%; the weakest was Q2 2018, with a decline of 99.3%.
- According to Business Quant data, Interest Expense - Fed Funds for the three prior quarters was $71.11 million (Q4 2019), $74.24 million (Q3 2019) and $75.89 million (Q2 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 10 | Mfa Financial | 588.06 Mn | 577.22 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 72.70 Mn |
| Dec 31, 2019 | 71.11 Mn |
| Sep 30, 2019 | 74.24 Mn |
| Jun 30, 2019 | 75.89 Mn |
| Mar 31, 2019 | 70.81 Mn |
| Dec 31, 2018 | 62.51 Mn |
| Sep 30, 2018 | 50.88 Mn |
| Jun 30, 2018 | 46.23 Mn |
| Mar 31, 2018 | 6.56 Bn |
| Dec 31, 2017 | 6.61 Bn |
| Sep 30, 2017 | 6.87 Bn |
| Jun 30, 2017 | 7.04 Bn |
| Mar 31, 2017 | 8.14 Bn |
| Dec 31, 2016 | 8.69 Bn |
| Sep 30, 2016 | 8.70 Bn |
| Jun 30, 2016 | 9.04 Bn |
| Mar 31, 2016 | 9.14 Bn |
| Dec 31, 2015 | 9.39 Bn |
| Sep 30, 2015 | 9.48 Bn |
| Jun 30, 2015 | 40.22 Mn |
Mfa Financial Interest Expense - Fed Funds 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-expense-fed-funds&ticker=MFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-fed-funds", "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-expense-fed-funds&ticker=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();