Thomson Reuters (TRI) Income from Non-Controlling Interests (2009 - 2024)
Thomson Reuters (TRI) recorded Income from Non-Controlling Interests of -$3 million in FY2024.
Analysis
Thomson Reuters (TRI) Income from Non-Controlling Interests (2009 - 2024) Analysis & Trends
Starting with FY2009, Thomson Reuters' Income from Non-Controlling Interests history includes 11 years.
- The FY2024 figure is the highest annual Income from Non-Controlling Interests in data going back to FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inc. Minority (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 4.07 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 34.87 Mn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | - |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | - |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | - |
| 10 | Thomson Reuters | 43.44 Bn | 39.49 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 Income from Non-Controlling 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();