Thomson Reuters (TRI) Enterprise Value (2016 - 2026)
Thomson Reuters' Enterprise Value came in at $35.29 billion for Q2 2026, down 60.5% from $89.39 billion a year earlier and down 9.9% from the prior quarter.
Thomson Reuters (TRI) Enterprise Value (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Thomson Reuters reported Enterprise Value of $32.4 billion, down 61.0% year-over-year; for FY2025, it came in at $57.71 billion, down 17.3% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $69.76 billion in FY2024 (+8.2%), $64.49 billion in FY2023 (+22.2%), $52.76 billion in FY2022 (-7.4%) and $57 billion in FY2021 (+48.6%).
- The Q2 2026 figure represents the lowest quarterly Enterprise Value since Q2 2020.
- Year-over-year, Enterprise Value has declined for four consecutive quarters, with an average decline of 6.7% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q4 2021 (growth of 48.6%), and the weakest in Q2 2026 (a decline of 60.5%).
- Business Quant data shows TRI's Enterprise Value at $39.18 billion (Q1 2026), $57.71 billion (Q4 2025) and $68.84 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 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
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.29 Bn |
| Mar 31, 2026 | 39.18 Bn |
| Dec 31, 2025 | 57.71 Bn |
| Sep 30, 2025 | 68.84 Bn |
| Jun 30, 2025 | 89.39 Bn |
| Mar 31, 2025 | 75.93 Bn |
| Dec 31, 2024 | 69.76 Bn |
| Sep 30, 2024 | 75.16 Bn |
| Jun 30, 2024 | 74.27 Bn |
| Mar 31, 2024 | 68.27 Bn |
| Dec 31, 2023 | 64.49 Bn |
| Sep 30, 2023 | 53.24 Bn |
| Jun 30, 2023 | 58.62 Bn |
| Mar 31, 2023 | 59.80 Bn |
| Dec 31, 2022 | 52.76 Bn |
| Sep 30, 2022 | 48.85 Bn |
| Jun 30, 2022 | 50.07 Bn |
| Mar 31, 2022 | 52.26 Bn |
| Dec 31, 2021 | 57.00 Bn |
| Sep 30, 2021 | 53.38 Bn |
Thomson Reuters Enterprise Value 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=enterprise-value&ticker=TRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();