Federal Home Loan Mortgage (FMCC) Net Income Attributable to Noncontrolling Interests (2009 - 2022)
Federal Home Loan Mortgage's Net Income Attributable to Noncontrolling Interests was -$1 million in FY2010, compared with -$1 million in FY2009.
Analysis
Federal Home Loan Mortgage (FMCC) Net Income Attributable to Noncontrolling Interests (2009 - 2022) Analysis & Trends
- Per Business Quant data, Net Income Attributable to Noncontrolling Interests in earlier years was -$1 million in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCI Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Royalty Pharma | 39.80 Bn | 40.13 Bn | - | 121.96 Mn |
| 2 | Rocket Companies | 38.90 Bn | 27.72 Bn | - | - |
| 3 | Orix | 38.66 Bn | 9.30 Bn | 13.83 Bn | 4.84 Mn |
| 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 | 676,000.00 |
| 8 | Ares Capital | 13.84 Bn | 11.59 Bn | - | - |
| 9 | Annaly Capital Management | 13.83 Bn | 4.86 Bn | - | 1.06 Mn |
| 10 | Federal Home Loan Mortgage | 12.64 Bn | -328.33 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 1.13 Bn |
| Jun 30, 2022 | 2.39 Bn |
| Mar 31, 2022 | 3.68 Bn |
| Sep 30, 2021 | 2.91 Bn |
| Jun 30, 2021 | 3.61 Bn |
| Mar 31, 2021 | 2.38 Bn |
| Dec 31, 2020 | 2.52 Bn |
| Sep 30, 2020 | 2.45 Bn |
| Jun 30, 2020 | 1.94 Bn |
| Mar 31, 2020 | 622.00 Mn |
| Dec 31, 2019 | 2.45 Bn |
| Sep 30, 2019 | 1.85 Bn |
| Jun 30, 2019 | 1.83 Bn |
| Mar 31, 2019 | 1.67 Bn |
| Dec 31, 2018 | 1.48 Bn |
| Sep 30, 2018 | 2.56 Bn |
| Jun 30, 2018 | 2.44 Bn |
| Mar 31, 2018 | 2.15 Bn |
| Dec 31, 2017 | -3.31 Bn |
| Sep 30, 2017 | 4.65 Bn |
API Access
Federal Home Loan Mortgage Net Income Attributable to Noncontrolling Interests 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=income-from-non-controlling-interests&ticker=FMCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "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=income-from-non-controlling-interests&ticker=FMCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();