Thomson Reuters (TRI) Property, Plant & Equipment (Net) (2009 - 2026)
Thomson Reuters (TRI) reported Property, Plant & Equipment (Net) of $303 million for Q3 2026, down 15.1% from $357 million a year earlier and down 11.4% 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%).
- The Q3 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q2 2012.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last eight quarters, with an average decline of 12.6% 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 Q3 2026 came in at $342 million (Q2 2026), $341 million (Q1 2026) and $361 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | 65.00 Mn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 127.85 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 5.16 Bn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | 3.04 Bn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | 644.30 Mn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | 2.15 Bn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | 1.02 Bn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | 96.75 Mn |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | 303.00 Mn |
| 10 | Roper Technologies | 47.52 Bn | 46.16 Bn | 1.52 Bn | 158.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 303.00 Mn |
| 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 |
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();