Thomson Reuters (TRI) Return on Capital Employed [ROCE] (2009 - 2020)
Thomson Reuters (TRI) posted Return on Capital Employed [ROCE] of 32.88% for Q2 2020, up 25.77 percentage points from 7.12% a year earlier.
Thomson Reuters (TRI) Return on Capital Employed [ROCE] (2009 - 2020) Analysis & Trends
For FY2019, Thomson Reuters' Return on Capital Employed [ROCE] came in at 35.67%, up 31.58 percentage points from FY2018.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +26.22 percentage points (FY2014 to FY2019).
- In prior years, Thomson Reuters' Return on Capital Employed [ROCE] was 4.09% in FY2018 (-0.53 pp), 4.62% in FY2017 (+1.72 pp), 2.90% in FY2016 (-3.34 pp) and 6.24% in FY2015 (-3.21 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of 4.06% in Q4 2018 to a high of 42.16% in Q4 2019 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in five of the last seven quarters, with an average year-over-year change of +9.80 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2019, with a gain of 38.09 percentage points; the weakest was Q2 2016, with a drop of 3.07 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 9.81% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 33.74% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -68.70% |
| 10 | Thomson Reuters | 43.44 Bn | 39.49 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 32.88% |
| Dec 31, 2019 | 42.16% |
| Sep 30, 2019 | 7.85% |
| Jun 30, 2019 | 7.12% |
| Mar 31, 2019 | 5.40% |
| Dec 31, 2018 | 4.06% |
| Sep 30, 2018 | 4.46% |
| Jun 30, 2018 | 5.12% |
| Mar 31, 2018 | 4.81% |
| Dec 31, 2017 | 4.74% |
| Sep 30, 2017 | 5.01% |
| Jun 30, 2017 | 5.18% |
| Mar 31, 2017 | 5.82% |
| Dec 31, 2016 | 5.90% |
| Sep 30, 2016 | 6.96% |
| Jun 30, 2016 | 6.62% |
| Mar 31, 2016 | 6.45% |
| Dec 31, 2015 | 6.45% |
| Sep 30, 2015 | 9.65% |
| Jun 30, 2015 | 9.68% |
Thomson Reuters Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=TRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();