Federal Home Loan Mortgage (FMCC) Selling, General & Administrative (2010 - 2021)
Analysis
Federal Home Loan Mortgage (FMCC) Selling, General & Administrative (2010 - 2021) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 47.84 Bn | 44.74 Bn | - | 568.00 Mn |
| 2 | Orix | 44.49 Bn | 44.82 Bn | 4.68 Bn | 1.24 Bn |
| 3 | Royalty Pharma | 33.65 Bn | 35.77 Bn | - | 161.89 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 28.57 Bn | 28.57 Bn | - | - |
| 5 | Affirm Holdings | 24.20 Bn | 22.57 Bn | - | 146.84 Mn |
| 6 | Synchrony Financial | 23.63 Bn | 7.43 Bn | - | - |
| 7 | Royal Gold | 21.87 Bn | 21.73 Bn | 390.45 Mn | 13.45 Mn |
| 8 | Annaly Capital Management | 16.08 Bn | 13.23 Bn | - | 58.19 Mn |
| 9 | Federal Home Loan Mortgage | 14.13 Bn | 9.81 Bn | - | - |
| 10 | Ares Capital | 13.90 Bn | 13.52 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 734.00 Mn |
| Sep 30, 2021 | 627.00 Mn |
| Jun 30, 2021 | 651.00 Mn |
| Mar 31, 2021 | 639.00 Mn |
| Dec 31, 2020 | 706.00 Mn |
| Sep 30, 2020 | 641.00 Mn |
| Jun 30, 2020 | 601.00 Mn |
| Mar 31, 2020 | 587.00 Mn |
| Dec 31, 2019 | 747.00 Mn |
| Sep 30, 2019 | 620.00 Mn |
| Jun 30, 2019 | 619.00 Mn |
| Mar 31, 2019 | 578.00 Mn |
| Dec 31, 2018 | 646.00 Mn |
| Sep 30, 2018 | 569.00 Mn |
| Jun 30, 2018 | 558.00 Mn |
| Mar 31, 2018 | 520.00 Mn |
| Dec 31, 2017 | 558.00 Mn |
| Sep 30, 2017 | 524.00 Mn |
| Jun 30, 2017 | 513.00 Mn |
| Mar 31, 2017 | 511.00 Mn |
API Access
Federal Home Loan Mortgage Selling, General & Administrative 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=selling-general-and-administrative&ticker=FMCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();