Pearson (PSO) Price to Book (2009 - 2025)
Pearson's (PSO) Price to Book came in at 1.83 for the quarter ended Dec 31, 2025, down 11.3% from 2.06 a year earlier.
Powered by 
Analysis
Pearson (PSO) Price to Book (2009 - 2025) Analysis & Trends
For the year ended Dec 31, 2025, Pearson's Price to Book stood at 1.85, down 10.8% from the prior year.
- In prior years, Pearson's Price to Book was 2.07 in the year ended Dec 31, 2024 (+20.0%), 1.73 in the year ended Dec 31, 2023 (+17.0%), 1.48 in the year ended Dec 31, 2022 (+36.7%) and 1.08 in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 stands as the lowest quarterly Price to Book since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn |
| 2 | Fox | 27.65 Bn | 13.46 Bn | - |
| 3 | Omnicom | 22.55 Bn | 4.64 Bn | 1.30 Bn |
| 4 | News | 16.72 Bn | 8.21 Bn | - |
| 5 | Pearson | 11.86 Bn | 8.97 Bn | - |
| 6 | New York Times | 10.98 Bn | 8.46 Bn | 394.61 Mn |
| 7 | Sirius Xm Holdings | 9.09 Bn | 8.67 Bn | 1.44 Bn |
| 8 | Skydance | 7.82 Bn | 5.74 Bn | - |
| 9 | Wpp | 5.88 Bn | -6.16 Bn | - |
| 10 | Nexstar Media | 5.02 Bn | 3.85 Bn | 1.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.81 |
| Dec 31, 2024 | 2.11 |
| Dec 31, 2023 | 1.69 |
| Dec 31, 2022 | 1.52 |
| Dec 31, 2021 | 1.10 |
| Dec 31, 2020 | 1.23 |
| Jul 24, 2020 | 1.02 |
| Dec 31, 2019 | 1.16 |
| Dec 31, 2018 | 1.62 |
| Dec 31, 2017 | 1.46 |
| Dec 31, 2016 | 1.54 |
| Dec 31, 2015 | 0.93 |
| Jul 24, 2015 | 1.84 |
| Dec 31, 2014 | 1.62 |
| Dec 31, 2011 | 1.68 |
| Dec 31, 2010 | 1.49 |
| Dec 31, 2009 | 1.55 |
API Access
Pearson 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=PSO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "PSO", "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=PSO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();