Thomson Reuters (TRI) Change in Property, Plant and Equipment (2009 - 2026)
Thomson Reuters' Change in Property, Plant and Equipment came in at $176 million for Q3 2026, up 9.3% from $161 million a year earlier.
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Analysis
Thomson Reuters (TRI) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Thomson Reuters reported Change in Property, Plant and Equipment of $313 million, up 1.0% year-over-year; for FY2025, it came in at -$634 million.
- Going back by year, Change in Property, Plant and Equipment was -$607 million in FY2024, -$544 million in FY2023, -$595 million in FY2022 and -$487 million in FY2021.
- The Q3 2026 figure represents the highest quarterly Change in Property, Plant and Equipment since Q3 2020.
- Year-over-year, Change in Property, Plant and Equipment increased in five of the last six quarters, with growth averaging 7.5%.
- The fastest year-over-year change in Change in Property, Plant and Equipment over five years came in Q1 2022 (growth of 42.5%), and the weakest in Q1 2023 (a decline of 18.1%).
- Business Quant data shows TRI's Change in Property, Plant and Equipment at -$177 million (Q2 2026), $156 million (Q1 2026) and $158 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | -8.01 Mn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | -28.50 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 226.63 Mn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | -171.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -52.70 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | -91.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | -27.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | -462,000.00 |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | 176.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 176.00 Mn |
| Jun 30, 2026 | -177.00 Mn |
| Mar 31, 2026 | 156.00 Mn |
| Dec 31, 2025 | 158.00 Mn |
| Sep 30, 2025 | 162.00 Mn |
| Jun 30, 2025 | -163.00 Mn |
| Mar 31, 2025 | 151.00 Mn |
| Dec 31, 2024 | 161.00 Mn |
| Sep 30, 2024 | 149.00 Mn |
| Jun 30, 2024 | -152.00 Mn |
| Mar 31, 2024 | 145.00 Mn |
| Dec 31, 2023 | 132.00 Mn |
| Sep 30, 2023 | 145.00 Mn |
| Jun 30, 2023 | -127.00 Mn |
| Mar 31, 2023 | 140.00 Mn |
| Dec 31, 2022 | 135.00 Mn |
| Sep 30, 2022 | 152.00 Mn |
| Jun 30, 2022 | -137.00 Mn |
| Mar 31, 2022 | 171.00 Mn |
| Dec 31, 2021 | 123.00 Mn |
API Access
Thomson Reuters Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=TRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();