Thomson Reuters (TRI) Enterprise Value (2009 - 2026)
Thomson Reuters' Enterprise Value came in at $41.43 billion for Q3 2026, down 39.8% from $68.84 billion a year earlier but up 16.2% from the prior quarter.
Thomson Reuters (TRI) Enterprise Value (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Thomson Reuters reported Enterprise Value of $39.28 billion, down 38.6% year-over-year; for FY2025, it came in at $58.08 billion, down 16.8% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $69.83 billion in FY2024 (+7.6%), $64.87 billion in FY2023 (+22.2%), $53.08 billion in FY2022 (-7.4%) and $57.32 billion in FY2021 (+49.5%).
- The five-year range for quarterly Enterprise Value is $35.65 billion (Q2 2026) to $89.78 billion (Q2 2025).
- Year-over-year, Enterprise Value has declined for five consecutive quarters, with an average decline of 16.8% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q4 2021 (growth of 49.5%), and the weakest in Q2 2026 (a decline of 60.3%).
- Business Quant data shows TRI's Enterprise Value at $35.65 billion (Q2 2026), $39.18 billion (Q1 2026) and $58.08 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - |
| 10 | Roper Technologies | 47.52 Bn | 46.16 Bn | 1.52 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.43 Bn |
| Jun 30, 2026 | 35.65 Bn |
| Mar 31, 2026 | 39.18 Bn |
| Dec 31, 2025 | 58.08 Bn |
| Sep 30, 2025 | 68.84 Bn |
| Jun 30, 2025 | 89.78 Bn |
| Mar 31, 2025 | 75.93 Bn |
| Dec 31, 2024 | 69.83 Bn |
| Sep 30, 2024 | 75.16 Bn |
| Jun 30, 2024 | 74.67 Bn |
| Mar 31, 2024 | 68.27 Bn |
| Dec 31, 2023 | 64.87 Bn |
| Sep 30, 2023 | 53.24 Bn |
| Jun 30, 2023 | 58.96 Bn |
| Mar 31, 2023 | 59.80 Bn |
| Dec 31, 2022 | 53.08 Bn |
| Sep 30, 2022 | 48.85 Bn |
| Jun 30, 2022 | 50.07 Bn |
| Mar 31, 2022 | 52.26 Bn |
| Dec 31, 2021 | 57.32 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();