Relx (RELX) Price to Book (2011 - 2026)
Relx's Price to Book came in at 34.63 for Q2 2026, up 3.4% from 33.50 a year earlier.
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Analysis
Relx (RELX) Price to Book (2011 - 2026) Analysis & Trends
For FY2025, Relx's Price to Book was 22.84, up 19.2% from FY2024.
- Price to Book has increased in each of the last three years.
- Going back by year, Price to Book was 19.17 in FY2024 (+12.5%), 17.04 in FY2023 (+45.7%), 11.70 in FY2022 (-19.1%) and 14.46 in FY2021 (-12.8%).
- The Q2 2026 figure represents the highest quarterly Price to Book in data going back to Q4 2011.
- The fastest year-over-year change in Price to Book over five years came in Q2 2025 (growth of 56.2%), and the weakest in Q2 2022 (a decline of 23.5%).
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 | 34.63 |
| Dec 31, 2025 | 22.84 |
| Jun 30, 2025 | 33.50 |
| Dec 31, 2024 | 19.17 |
| Jun 30, 2024 | 21.45 |
| Dec 31, 2023 | 17.04 |
| Jun 30, 2023 | 15.47 |
| Dec 31, 2022 | 11.70 |
| Jun 30, 2022 | 11.77 |
| Dec 31, 2021 | 14.46 |
| Jun 30, 2021 | 15.38 |
| Dec 31, 2020 | 16.58 |
| Jun 30, 2020 | 17.63 |
| Dec 31, 2019 | 17.00 |
| Jun 30, 2019 | 16.92 |
| Dec 31, 2018 | 13.44 |
| Jun 30, 2018 | 15.52 |
| Dec 31, 2017 | 15.39 |
| Jun 30, 2017 | 18.69 |
| Dec 31, 2016 | 13.07 |
API Access
Relx 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=RELX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "RELX", "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=RELX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();