Mfa Financial (MFA) Change in Accured Expenses (2009 - 2015)
Mfa Financial's Change in Accured Expenses was $49.96 million in Q4 2015, up 281.8% from $13.09 million a year earlier.
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Analysis
Mfa Financial (MFA) Change in Accured Expenses (2009 - 2015) Analysis & Trends
For FY2015, Change in Accured Expenses at Mfa Financial came in at $50.75 million, up 12.4% from FY2014.
- Change in Accured Expenses has now increased for four consecutive years.
- In earlier years, Change in Accured Expenses was $45.17 million in FY2014 (+227.1%), $13.81 million in FY2013 (+97.5%), $6.99 million in FY2012 (+532.8%) and $1.11 million in FY2011.
- The Q4 2015 figure marks the highest quarterly Change in Accured Expenses in data going back to Q3 2009.
- Compared with a year earlier, Change in Accured Expenses was higher in four of the last five quarters, with growth averaging 163.0%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q4 2013 (growth of 720.9%); the worst was Q4 2014 (a decline of 19.8%).
- Per Business Quant data, MFA's Change in Accured Expenses in the three quarters before Q4 2015 was -$22.79 million (Q3 2015), $13.52 million (Q2 2015) and $10.06 million (Q1 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | - | -22.78 Mn |
| 6 | Synchrony Financial | 23.25 Bn | -44.72 Bn | - | 190.00 Mn |
| 7 | Royal Gold | 19.67 Bn | 18.90 Bn | 390.45 Mn | - |
| 8 | Annaly Capital Management | 14.04 Bn | 5.13 Bn | - | 88.31 Mn |
| 9 | Ares Capital | 13.76 Bn | 11.19 Bn | - | 4.00 Mn |
| 10 | Mfa Financial | 782.42 Mn | -98.79 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 49.96 Mn |
| Sep 30, 2015 | -22.79 Mn |
| Jun 30, 2015 | 13.52 Mn |
| Mar 31, 2015 | 10.06 Mn |
| Dec 31, 2014 | 13.09 Mn |
| Sep 30, 2014 | 13.53 Mn |
| Jun 30, 2014 | 11.17 Mn |
| Mar 31, 2014 | 7.38 Mn |
| Dec 31, 2013 | 16.31 Mn |
| Sep 30, 2013 | 2.27 Mn |
| Jun 30, 2013 | -1.54 Mn |
| Mar 31, 2013 | -3.24 Mn |
| Dec 31, 2012 | 1.99 Mn |
| Sep 30, 2012 | 715,000.00 |
| Jun 30, 2012 | 1.89 Mn |
| Mar 31, 2012 | 2.40 Mn |
| Dec 31, 2011 | 1.63 Mn |
| Sep 30, 2011 | -137,000.00 |
| Jun 30, 2011 | -584,000.00 |
| Mar 31, 2011 | 192,000.00 |
API Access
Mfa Financial Change in Accured 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=change-in-accured-expenses&ticker=MFA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();