Federal Home Loan Mortgage (FMCC) Dividends Paid - Common and Preferred (2010 - 2019)
Analysis
Federal Home Loan Mortgage (FMCC) Dividends Paid - Common and Preferred (2010 - 2019) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Div Paid (Total) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 44.05 Bn | 29.73 Bn | - | -6.00 Mn |
| 2 | Orix | 40.96 Bn | 10.18 Bn | 12.74 Bn | - |
| 3 | Royalty Pharma | 36.72 Bn | 36.63 Bn | - | 104.92 Mn |
| 4 | Affirm Holdings | 23.63 Bn | 17.32 Bn | - | - |
| 5 | Federal National Mortgage Association Fannie Mae | 23.47 Bn | 23.47 Bn | - | - |
| 6 | Synchrony Financial | 22.90 Bn | -44.72 Bn | - | 138.00 Mn |
| 7 | Royal Gold | 19.26 Bn | 18.48 Bn | 390.45 Mn | 40.33 Mn |
| 8 | Annaly Capital Management | 13.77 Bn | 4.86 Bn | - | 552.38 Mn |
| 9 | Ares Capital | 13.38 Bn | 10.82 Bn | - | 345.00 Mn |
| 10 | Federal Home Loan Mortgage | 12.16 Bn | -6.58 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 1.70 Bn |
| Mar 31, 2019 | 1.48 Bn |
| Dec 31, 2018 | 2.60 Bn |
| Sep 30, 2018 | 1.60 Bn |
| Dec 31, 2017 | 2.20 Bn |
| Sep 30, 2017 | 2.00 Bn |
| Jun 30, 2017 | 2.20 Bn |
| Mar 31, 2017 | 4.48 Bn |
| Dec 31, 2016 | 2.30 Bn |
| Sep 30, 2016 | 900.00 Mn |
| Mar 31, 2016 | 1.74 Bn |
| Sep 30, 2015 | 3.90 Bn |
| Jun 30, 2015 | 700.00 Mn |
| Mar 31, 2015 | 851.00 Mn |
| Dec 31, 2014 | 2.80 Bn |
| Sep 30, 2014 | 1.90 Bn |
| Jun 30, 2014 | 4.50 Bn |
| Mar 31, 2014 | 10.44 Bn |
| Dec 31, 2013 | 30.40 Bn |
| Sep 30, 2013 | 4.40 Bn |
API Access
Federal Home Loan Mortgage Dividends Paid - Common and Preferred 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=dividends-paid-common-and-preferred&ticker=FMCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-paid-common-and-preferred", "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=dividends-paid-common-and-preferred&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();