Thomson Reuters (TRI) Net Income Attributable to Noncontrolling Interests (2009 - 2024)
Thomson Reuters (TRI) recorded Net Income Attributable to Noncontrolling Interests of -$3 million in FY2024.
Analysis
Thomson Reuters (TRI) Net Income Attributable to Noncontrolling Interests (2009 - 2024) Analysis & Trends
Starting with FY2009, Thomson Reuters' Net Income Attributable to Noncontrolling Interests history includes 11 years.
- The FY2024 figure is the highest annual Net Income Attributable to Noncontrolling Interests in data going back to FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCI Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | 6.43 Mn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | - |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 23.01 Mn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | - |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | - |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | - |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | - |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | - |
| 10 | Roper Technologies | 47.52 Bn | 46.16 Bn | 1.52 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | -3.00 Mn |
| Jun 30, 2019 | -11.00 Mn |
| Sep 30, 2018 | 30.00 Mn |
| Jun 30, 2018 | 32.00 Mn |
| Mar 31, 2018 | 28.00 Mn |
| Dec 31, 2017 | 15.00 Mn |
| Sep 30, 2017 | 18.00 Mn |
| Jun 30, 2017 | 14.00 Mn |
| Mar 31, 2017 | 17.00 Mn |
| Dec 31, 2016 | 15.00 Mn |
| Sep 30, 2016 | 13.00 Mn |
| Jun 30, 2016 | 13.00 Mn |
| Mar 31, 2016 | 10.00 Mn |
| Dec 31, 2015 | 9.00 Mn |
| Sep 30, 2015 | 13.00 Mn |
| Jun 30, 2015 | 19.00 Mn |
| Mar 31, 2015 | 15.00 Mn |
| Dec 31, 2014 | 10.00 Mn |
| Sep 30, 2014 | 19.00 Mn |
| Jun 30, 2014 | 11.00 Mn |
API Access
Thomson Reuters 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=TRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "ticker": "TRI", "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=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();