Mfa Financial (MFA) Interest Expense - Fed Funds (2010 - 2015)
Mfa Financial (MFA) posted Interest Expense - Fed Funds of $40.22 million for Q2 2015, up 9.6% from $36.69 million a year earlier but down 2.3% from the prior quarter.
Mfa Financial (MFA) Interest Expense - Fed Funds (2010 - 2015) Analysis & Trends
For the trailing twelve months through Jun 30, 2015, Interest Expense - Fed Funds at Mfa Financial was $153.23 million, up 2.7% year-over-year; for FY2014, it came in at $145.24 million, up 0.9% from FY2013.
- Annual Interest Expense - Fed Funds shows a five-year compound annual growth rate of -8.7% (FY2009 to FY2014).
- In prior years, Mfa Financial's Interest Expense - Fed Funds was $143.89 million in FY2013 (-3.3%), $148.77 million in FY2012 (+8.0%), $137.74 million in FY2011 (-4.5%) and $144.21 million in FY2010 (-37.1%).
- Quarterly Interest Expense - Fed Funds has run from a low of $33.05 million in Q1 2011 to a high of $41.18 million in Q1 2015 over five years.
- On a year-over-year basis, Interest Expense - Fed Funds increased in five of the last eight quarters, with growth averaging 3.2%.
- The strongest year-over-year quarter for Interest Expense - Fed Funds in the past five years was Q3 2012, with growth of 12.6%; the weakest was Q1 2011, with a decline of 14.0%.
- According to Business Quant data, Interest Expense - Fed Funds for the three prior quarters was $41.18 million (Q1 2015), $35.89 million (Q4 2014) and $35.94 million (Q3 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - |
| 10 | Mfa Financial | 793.54 Mn | -87.67 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 40.22 Mn |
| Mar 31, 2015 | 41.18 Mn |
| Dec 31, 2014 | 35.89 Mn |
| Sep 30, 2014 | 35.94 Mn |
| Jun 30, 2014 | 36.69 Mn |
| Mar 31, 2014 | 36.73 Mn |
| Dec 31, 2013 | 38.70 Mn |
| Sep 30, 2013 | 37.11 Mn |
| Jun 30, 2013 | 33.40 Mn |
| Mar 31, 2013 | 34.68 Mn |
| Dec 31, 2012 | 37.13 Mn |
| Sep 30, 2012 | 39.32 Mn |
| Jun 30, 2012 | 36.25 Mn |
| Mar 31, 2012 | 36.07 Mn |
| Dec 31, 2011 | 35.23 Mn |
| Sep 30, 2011 | 34.92 Mn |
| Jun 30, 2011 | 34.54 Mn |
| Mar 31, 2011 | 33.05 Mn |
| Dec 31, 2010 | 34.56 Mn |
| Sep 30, 2010 | 35.46 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();