Federal National Mortgage Association Fannie Mae (FNMA) Occupancy Expense (2009 - 2017)
Federal National Mortgage Association Fannie Mae (FNMA) posted Occupancy Expense of $51 million for Q3 2017, up 13.3% from $45 million a year earlier and up 8.5% from the prior quarter.
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Analysis
Federal National Mortgage Association Fannie Mae (FNMA) Occupancy Expense (2009 - 2017) Analysis & Trends
For the trailing twelve months through Sep 30, 2017, Occupancy Expense at Federal National Mortgage Association Fannie Mae was $194 million, up 2.6% year-over-year; for FY2016, it was $186 million, up 2.2% from FY2015.
- Annual Occupancy Expense shows a five-year compound annual growth rate of 0.8% (FY2011 to FY2016).
- In prior years, Federal National Mortgage Association Fannie Mae's Occupancy Expense was $182 million in FY2015 (-10.3%), $203 million in FY2014 (+7.4%), $189 million in FY2013 (+0.5%) and $188 million in FY2012 (+5.0%).
- The Q3 2017 figure stands as the highest quarterly Occupancy Expense since Q4 2015.
- On a year-over-year basis, Occupancy Expense has increased in each of the last three quarters, with growth averaging 2.3% over the last eight quarters.
- The strongest year-over-year quarter for Occupancy Expense in the past five years was Q4 2014, with growth of 22.9%; the weakest was Q1 2015, with a decline of 14.0%.
- According to Business Quant data, Occupancy Expense for the three prior quarters was $47 million (Q2 2017), $46 million (Q1 2017) and $50 million (Q4 2016).
Peer Set
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 | Federal Home Loan Mortgage | 12.64 Bn | -328.33 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 51.00 Mn |
| Jun 30, 2017 | 47.00 Mn |
| Mar 31, 2017 | 46.00 Mn |
| Dec 31, 2016 | 50.00 Mn |
| Sep 30, 2016 | 45.00 Mn |
| Jun 30, 2016 | 46.00 Mn |
| Mar 31, 2016 | 45.00 Mn |
| Dec 31, 2015 | 53.00 Mn |
| Sep 30, 2015 | 43.00 Mn |
| Jun 30, 2015 | 43.00 Mn |
| Mar 31, 2015 | 43.00 Mn |
| Dec 31, 2014 | 59.00 Mn |
| Sep 30, 2014 | 47.00 Mn |
| Jun 30, 2014 | 47.00 Mn |
| Mar 31, 2014 | 50.00 Mn |
| Dec 31, 2013 | 48.00 Mn |
| Sep 30, 2013 | 48.00 Mn |
| Jun 30, 2013 | 47.00 Mn |
| Mar 31, 2013 | 46.00 Mn |
| Dec 31, 2012 | 49.00 Mn |
API Access
Federal National Mortgage Association Fannie Mae 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=FNMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "FNMA", "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=FNMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();