Thomson Reuters (TRI) Market Capitalization (2009 - 2026)
Thomson Reuters' Market Capitalization was $43.31 billion in Q3 2026, down 38.0% from $69.9 billion a year earlier but up 19.2% from the prior quarter.
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Analysis
Thomson Reuters (TRI) Market Capitalization (2009 - 2026) Analysis & Trends
For FY2025, Market Capitalization at Thomson Reuters came in at $58.69 billion, down 18.7% from FY2024.
- Market Capitalization shows a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In earlier years, Market Capitalization was $72.17 billion in FY2024 (+9.0%), $66.23 billion in FY2023 (+21.8%), $54.36 billion in FY2022 (-6.6%) and $58.21 billion in FY2021 (+42.8%).
- Quarterly Market Capitalization has moved between $36.34 billion (Q2 2026) and $90.51 billion (Q2 2025) over five years.
- Compared with a year earlier, Market Capitalization has declined for five straight quarters, with an average decline of 17.1% over the last eight quarters.
- The best year-over-year quarter for Market Capitalization over five years was Q4 2021 (growth of 42.8%); the worst was Q2 2026 (a decline of 59.8%).
- Per Business Quant data, TRI's Market Capitalization in the three quarters before Q3 2026 was $36.34 billion (Q2 2026), $40.04 billion (Q1 2026) and $58.69 billion (Q4 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 43.31 Bn |
| Jun 30, 2026 | 36.34 Bn |
| Mar 31, 2026 | 40.04 Bn |
| Dec 31, 2025 | 58.69 Bn |
| Sep 30, 2025 | 69.90 Bn |
| Jun 30, 2025 | 90.51 Bn |
| Mar 31, 2025 | 77.75 Bn |
| Dec 31, 2024 | 72.17 Bn |
| Sep 30, 2024 | 77.28 Bn |
| Jun 30, 2024 | 76.36 Bn |
| Mar 31, 2024 | 70.59 Bn |
| Dec 31, 2023 | 66.23 Bn |
| Sep 30, 2023 | 56.13 Bn |
| Jun 30, 2023 | 61.92 Bn |
| Mar 31, 2023 | 62.01 Bn |
| Dec 31, 2022 | 54.36 Bn |
| Sep 30, 2022 | 49.93 Bn |
| Jun 30, 2022 | 50.70 Bn |
| Mar 31, 2022 | 52.96 Bn |
| Dec 31, 2021 | 58.21 Bn |
API Access
Thomson Reuters Market Capitalization 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=market-capitalization&ticker=TRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();