Mfa Financial (MFA) Other Accumulated Expenses (2011 - 2018)
Mfa Financial (MFA) posted Other Accumulated Expenses of $567.92 million for Q2 2018, up 55.9% from $364.39 million a year earlier.
Analysis
Mfa Financial (MFA) Other Accumulated Expenses (2011 - 2018) Analysis & Trends
At the end of FY2013, Mfa Financial's Other Accumulated Expenses came in at $6.74 million, down 79.9% from FY2012.
- In prior years, Mfa Financial's Other Accumulated Expenses was $33.48 million in FY2012 (+23.7%) and $27.06 million in FY2011.
- The Q2 2018 figure stands as the highest quarterly Other Accumulated Expenses in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 44.95 Bn | 30.63 Bn | - |
| 2 | Orix | 41.97 Bn | 42.47 Bn | - |
| 3 | Royalty Pharma | 33.14 Bn | 33.05 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 24.99 Bn | 24.99 Bn | - |
| 5 | Affirm Holdings | 23.75 Bn | 17.44 Bn | - |
| 6 | Synchrony Financial | 23.25 Bn | -44.72 Bn | - |
| 7 | Royal Gold | 19.67 Bn | 18.90 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 14.04 Bn | 5.13 Bn | - |
| 9 | Ares Capital | 13.76 Bn | 11.19 Bn | - |
| 10 | Mfa Financial | 782.42 Mn | -98.79 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 567.92 Mn |
| Mar 31, 2018 | 13.53 Mn |
| Sep 30, 2017 | 124.01 Mn |
| Jun 30, 2017 | 364.39 Mn |
| Sep 30, 2016 | 203.96 Mn |
| Dec 31, 2013 | 6.74 Mn |
| Jun 30, 2013 | 27.59 Mn |
| Dec 31, 2012 | 33.48 Mn |
| Sep 30, 2012 | 126.04 Mn |
| Dec 31, 2011 | 27.06 Mn |
API Access
Mfa Financial Other Accumulated Expenses 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-accumulated-expenses&ticker=MFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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-accumulated-expenses&ticker=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();