Thomson Reuters (TRI) Property, Plant & Equipment (Net) (2009 - 2026)
Thomson Reuters (TRI) reported Property, Plant & Equipment (Net) of $342 million for Q2 2026, down 8.8% from $375 million a year earlier but up 0.3% from the prior quarter.
Thomson Reuters (TRI) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Thomson Reuters posted Property, Plant & Equipment (Net) of $361 million, down 6.5% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -7.9% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $386 million in FY2024 (-13.6%), $447 million in FY2023 (+8.0%), $414 million in FY2022 (-17.5%) and $502 million in FY2021 (-7.9%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $341 million in Q1 2026 and a high of $502 million in Q4 2021.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last seven quarters, with an average decline of 9.6% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q1 2024 (growth of 12.5%); the low point was Q4 2022 (a decline of 17.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $341 million (Q1 2026), $361 million (Q4 2025) and $357 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 61.40 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 127.85 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 3.04 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 2.18 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 641.30 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 1.02 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | 97.94 Mn |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 28.34 Mn |
| 10 | Thomson Reuters | 43.44 Bn | 39.49 Bn | - | 342.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 342.00 Mn |
| Mar 31, 2026 | 341.00 Mn |
| Dec 31, 2025 | 361.00 Mn |
| Sep 30, 2025 | 357.00 Mn |
| Jun 30, 2025 | 375.00 Mn |
| Mar 31, 2025 | 375.00 Mn |
| Dec 31, 2024 | 386.00 Mn |
| Sep 30, 2024 | 430.00 Mn |
| Jun 30, 2024 | 436.00 Mn |
| Mar 31, 2024 | 451.00 Mn |
| Dec 31, 2023 | 447.00 Mn |
| Sep 30, 2023 | 395.00 Mn |
| Jun 30, 2023 | 402.00 Mn |
| Mar 31, 2023 | 401.00 Mn |
| Dec 31, 2022 | 414.00 Mn |
| Sep 30, 2022 | 414.00 Mn |
| Jun 30, 2022 | 446.00 Mn |
| Mar 31, 2022 | 479.00 Mn |
| Dec 31, 2021 | 502.00 Mn |
| Sep 30, 2021 | 473.00 Mn |
Thomson Reuters Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=TRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();