Thomson Reuters (TRI) Price to Book (2009 - 2026)
Thomson Reuters' (TRI) Price to Book stood at 3.27 in Q2 2026, down 54.5% from 7.17 a year earlier.
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Analysis
Thomson Reuters (TRI) Price to Book (2009 - 2026) Analysis & Trends
For FY2025, Thomson Reuters' Price to Book came in at 4.93, down 18.1% from FY2024.
- Across earlier years, Price to Book came in at 6.01 in FY2024 (+0.4%), 5.99 in FY2023 and 4.21 in FY2021.
- The Q2 2026 figure is the lowest quarterly Price to Book since Q3 2018.
- On a year-over-year basis, Price to Book rose in two of the last four quarters, with an average decline of 15.7%.
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 |
|---|---|
| Jun 30, 2026 | 3.27 |
| Dec 31, 2025 | 4.93 |
| Jun 30, 2025 | 7.17 |
| Dec 31, 2024 | 6.01 |
| Jun 30, 2024 | 6.57 |
| Dec 31, 2023 | 5.99 |
| Dec 31, 2021 | 4.21 |
| Sep 30, 2020 | 4.15 |
| Mar 31, 2020 | 3.66 |
| Dec 31, 2019 | 3.73 |
| Sep 30, 2019 | 5.20 |
| Jun 30, 2019 | 4.73 |
| Mar 31, 2019 | 4.41 |
| Dec 31, 2018 | 3.50 |
| Sep 30, 2018 | 2.35 |
| Jun 30, 2018 | 2.14 |
| Mar 31, 2018 | 1.86 |
| Dec 31, 2017 | 2.07 |
| Sep 30, 2017 | 2.29 |
| Jun 30, 2017 | 2.33 |
API Access
Thomson Reuters Price to Book 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=price-to-book&ticker=TRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();