Federal National Mortgage Association Fannie Mae (FNMA) Financial Services Fees (2009 - 2016)
Federal National Mortgage Association Fannie Mae (FNMA) recorded Financial Services Fees of $23 million in Q3 2016, down 25.8% from $31 million a year earlier and down 23.3% from the prior quarter.
Federal National Mortgage Association Fannie Mae (FNMA) Financial Services Fees (2009 - 2016) Analysis & Trends
On a TTM basis, Federal National Mortgage Association Fannie Mae's Financial Services Fees came in at $107 million as of Sep 30, 2016, down 21.3% year-over-year; for FY2015, it came in at $128 million, down 26.9% from FY2014.
- Annual Financial Services Fees has declined for three straight years, with a five-year compound annual growth rate of -32.0% (FY2010 to FY2015).
- Across earlier years, Financial Services Fees came in at $175 million in FY2014 (-14.6%), $205 million in FY2013 (-3.3%) and $212 million in FY2012.
- The Q3 2016 figure is the lowest quarterly Financial Services Fees in data going back to Q1 2009.
- On a year-over-year basis, Financial Services Fees has declined for eight consecutive quarters, with an average decline of 23.9% over the last eight quarters.
- Peak year-over-year performance for Financial Services Fees in the last five years was growth of 36.1% in Q4 2013, against a decline of 80.8% in Q3 2012 at the low end.
- Per Business Quant, the preceding three quarters came in at $30 million (Q2 2016), $25 million (Q1 2016) and $29 million (Q4 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Orix | 41.16 Bn | 9.88 Bn | 4.68 Bn |
| 2 | Rocket Companies | 30.82 Bn | 16.49 Bn | - |
| 3 | Affirm Holdings | 26.11 Bn | 19.80 Bn | - |
| 4 | Royalty Pharma | 25.16 Bn | 22.13 Bn | - |
| 5 | Synchrony Financial | 24.39 Bn | -43.58 Bn | - |
| 6 | Federal National Mortgage Association Fannie Mae | 20.07 Bn | 20.07 Bn | - |
| 7 | Royal Gold | 19.83 Bn | 19.01 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 13.45 Bn | 4.49 Bn | - |
| 9 | Ares Capital | 13.34 Bn | 10.77 Bn | - |
| 10 | Federal Home Loan Mortgage | 10.15 Bn | -8.59 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 23.00 Mn |
| Jun 30, 2016 | 30.00 Mn |
| Mar 31, 2016 | 25.00 Mn |
| Dec 31, 2015 | 29.00 Mn |
| Sep 30, 2015 | 31.00 Mn |
| Jun 30, 2015 | 37.00 Mn |
| Mar 31, 2015 | 31.00 Mn |
| Dec 31, 2014 | 37.00 Mn |
| Sep 30, 2014 | 52.00 Mn |
| Jun 30, 2014 | 41.00 Mn |
| Mar 31, 2014 | 45.00 Mn |
| Dec 31, 2013 | 49.00 Mn |
| Sep 30, 2013 | 51.00 Mn |
| Jun 30, 2013 | 51.00 Mn |
| Mar 31, 2013 | 54.00 Mn |
| Dec 31, 2012 | 36.00 Mn |
| Sep 30, 2012 | 56.00 Mn |
| Sep 30, 2011 | 291.00 Mn |
| Jun 30, 2011 | 265.00 Mn |
| Mar 31, 2011 | 237.00 Mn |
Federal National Mortgage Association Fannie Mae Financial Services Fees 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=financial-services-fees&ticker=FNMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "financial-services-fees", "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=financial-services-fees&ticker=FNMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();