Federal Home Loan Mortgage (FMCC) Occupancy Expense (2010 - 2017)
Federal Home Loan Mortgage (FMCC) reported Occupancy Expense of $17 million for Q3 2017, up 30.8% from $13 million a year earlier and up 6.3% from the prior quarter.
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Analysis
Federal Home Loan Mortgage (FMCC) Occupancy Expense (2010 - 2017) Analysis & Trends
Over the twelve months ended Sep 30, 2017, Federal Home Loan Mortgage's Occupancy Expense came in at $71 million, up 24.6% year-over-year; for FY2016, it came in at $66 million, up 17.9% from FY2015.
- Occupancy Expense has a five-year compound annual growth rate of 1.3% (FY2011 to FY2016).
- By year, Occupancy Expense came in at $56 million in FY2015 (-3.4%), $58 million in FY2014 (+7.4%), $54 million in FY2013 (-5.3%) and $57 million in FY2012 (-8.1%).
- Five-year quarterly Occupancy Expense spans a low of $12 million in Q1 2015 and a high of $25 million in Q4 2016.
- Year over year, Occupancy Expense gained in six of the last eight quarters, with growth averaging 13.6%.
- The high point for year-over-year Occupancy Expense in five years was Q4 2016 (growth of 56.3%); the low point was Q4 2012 (a decline of 22.2%).
- Per Business Quant data, the three quarters before Q3 2017 came in at $16 million (Q2 2017), $13 million (Q1 2017) and $25 million (Q4 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 51.71 Bn | 37.39 Bn | - |
| 2 | Orix | 41.32 Bn | 10.54 Bn | 12.74 Bn |
| 3 | Royalty Pharma | 38.25 Bn | 38.16 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 29.63 Bn | 29.63 Bn | - |
| 5 | Affirm Holdings | 24.81 Bn | 18.50 Bn | - |
| 6 | Synchrony Financial | 23.89 Bn | -43.73 Bn | - |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn |
| 8 | Federal Home Loan Mortgage | 15.10 Bn | -3.58 Bn | - |
| 9 | Annaly Capital Management | 14.52 Bn | 5.56 Bn | - |
| 10 | Ares Capital | 14.02 Bn | 11.77 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 17.00 Mn |
| Jun 30, 2017 | 16.00 Mn |
| Mar 31, 2017 | 13.00 Mn |
| Dec 31, 2016 | 25.00 Mn |
| Sep 30, 2016 | 13.00 Mn |
| Jun 30, 2016 | 15.00 Mn |
| Mar 31, 2016 | 13.00 Mn |
| Dec 31, 2015 | 16.00 Mn |
| Sep 30, 2015 | 14.00 Mn |
| Jun 30, 2015 | 14.00 Mn |
| Mar 31, 2015 | 12.00 Mn |
| Dec 31, 2014 | 15.00 Mn |
| Sep 30, 2014 | 16.00 Mn |
| Jun 30, 2014 | 14.00 Mn |
| Mar 31, 2014 | 13.00 Mn |
| Dec 31, 2013 | 13.00 Mn |
| Sep 30, 2013 | 14.00 Mn |
| Jun 30, 2013 | 14.00 Mn |
| Mar 31, 2013 | 13.00 Mn |
| Dec 31, 2012 | 14.00 Mn |
API Access
Federal Home Loan Mortgage Occupancy Expense 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=occupancy-expense&ticker=FMCC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "FMCC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=occupancy-expense&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();