Thomson Reuters (TRI) Price to Book (2016 - 2025)
Thomson Reuters' (TRI) Price to Book stood at 7.17 in Q2 2025, up 9.1% from 6.57 a year earlier.
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Analysis
Thomson Reuters (TRI) Price to Book (2016 - 2025) Analysis & Trends
For FY2024, Thomson Reuters' Price to Book came in at 6.01, up 0.4% from FY2023.
- Across earlier years, Price to Book came in at 5.99 in FY2023.
- The Q2 2025 figure is the highest quarterly Price to Book in data going back to Q4 2016.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 7.17 |
| Dec 31, 2024 | 6.01 |
| Jun 30, 2024 | 6.57 |
| Dec 31, 2023 | 5.99 |
| 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 | 3.51 |
| 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 |
| Mar 31, 2017 | 2.16 |
| Dec 31, 2016 | 2.18 |
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();