Federal Home Loan Mortgage (FMCC) Professional Fees (2009 - 2021)
Federal Home Loan Mortgage (FMCC) recorded Professional Fees of $76 million in Q3 2021, down 27.6% from $105 million a year earlier and down 21.6% from the prior quarter.
Federal Home Loan Mortgage (FMCC) Professional Fees (2009 - 2021) Analysis & Trends
On a TTM basis, Federal Home Loan Mortgage's Professional Fees came in at $389 million as of Sep 30, 2021, up 4.6% year-over-year; for FY2020, it was $398 million, down 10.6% from FY2019.
- Annual Professional Fees has a five-year compound annual growth rate of -4.3% (FY2015 to FY2020).
- Across earlier years, Professional Fees came in at $445 million in FY2019 (-8.4%), $486 million in FY2018 (+7.5%), $452 million in FY2017 (-7.6%) and $489 million in FY2016 (-1.6%).
- Quarterly Professional Fees has ranged from $76 million in Q1 2020 to $151 million in Q4 2018 over the past five years.
- On a year-over-year basis, Professional Fees rose in three of the last eight quarters, with an average decline of 9.2%.
- Peak year-over-year performance for Professional Fees in the last five years was growth of 34.8% in Q4 2018, against a decline of 31.8% in Q4 2019 at the low end.
- Per Business Quant, the preceding three quarters came in at $97 million (Q2 2021), $87 million (Q1 2021) and $129 million (Q4 2020).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (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 | - | 300.00 Mn |
| 5 | Synchrony Financial | 22.47 Bn | -45.15 Bn | - | 234.00 Mn |
| 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 | - | -200,000.00 |
| 9 | Annaly Capital Management | 13.83 Bn | 4.86 Bn | - | - |
| 10 | Federal Home Loan Mortgage | 12.64 Bn | -328.33 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 76.00 Mn |
| Jun 30, 2021 | 97.00 Mn |
| Mar 31, 2021 | 87.00 Mn |
| Dec 31, 2020 | 129.00 Mn |
| Sep 30, 2020 | 105.00 Mn |
| Jun 30, 2020 | 88.00 Mn |
| Mar 31, 2020 | 76.00 Mn |
| Dec 31, 2019 | 103.00 Mn |
| Sep 30, 2019 | 115.00 Mn |
| Jun 30, 2019 | 122.00 Mn |
| Mar 31, 2019 | 105.00 Mn |
| Dec 31, 2018 | 151.00 Mn |
| Sep 30, 2018 | 120.00 Mn |
| Jun 30, 2018 | 113.00 Mn |
| Mar 31, 2018 | 102.00 Mn |
| Dec 31, 2017 | 112.00 Mn |
| Sep 30, 2017 | 110.00 Mn |
| Jun 30, 2017 | 118.00 Mn |
| Mar 31, 2017 | 112.00 Mn |
| Dec 31, 2016 | 142.00 Mn |
Federal Home Loan Mortgage Professional 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=professional-fees&ticker=FMCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();