Verastem (VSTM) Price to Book (2012 - 2026)
Verastem's Price to Book came in at 6.91 for Q2 2026, down 2.4% from 7.08 a year earlier but up 21.5% from the prior quarter.
Powered by 
Analysis
Verastem (VSTM) Price to Book (2012 - 2026) Analysis & Trends
For FY2025, Verastem's Price to Book was 10.49.
- Going back by year, Price to Book was 3.59 in FY2023 (+111.9%), 1.69 in FY2022 (-61.0%) and 4.34 in FY2021 (+37.7%).
- The five-year range for quarterly Price to Book is 1.30 (Q2 2023) to 11.92 (Q1 2024).
- The fastest year-over-year change in Price to Book over five years came in Q1 2024 (growth of 367.2%), and the weakest in Q2 2023 (a decline of 67.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Verastem | 714.81 Mn | 71.44 Mn | 36.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.91 |
| Mar 31, 2026 | 5.69 |
| Dec 31, 2025 | 10.49 |
| Jun 30, 2025 | 7.08 |
| Sep 30, 2024 | 10.88 |
| Jun 30, 2024 | 4.25 |
| Mar 31, 2024 | 11.92 |
| Dec 31, 2023 | 3.59 |
| Sep 30, 2023 | 2.47 |
| Jun 30, 2023 | 1.30 |
| Mar 31, 2023 | 2.55 |
| Dec 31, 2022 | 1.69 |
| Sep 30, 2022 | 2.84 |
| Jun 30, 2022 | 4.04 |
| Mar 31, 2022 | 3.61 |
| Dec 31, 2021 | 4.34 |
| Sep 30, 2021 | 5.86 |
| Jun 30, 2021 | 7.94 |
| Mar 31, 2021 | 4.13 |
| Dec 31, 2020 | 3.15 |
API Access
Verastem 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=VSTM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "VSTM", "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=VSTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();