Curis (CRIS) Price to Book (2010 - 2026)
Curis' (CRIS) Price to Book was 4.32 for Q2 2026, up 415.1% from the prior quarter.
Powered by 
Analysis
Curis (CRIS) Price to Book (2010 - 2026) Analysis & Trends
For FY2025, Price to Book at Curis was 2.34.
- By year, Price to Book came in at 3.82 in FY2023 (+234.7%), 1.14 in FY2022 (-76.3%) and 4.81 in FY2021 (+57.7%).
- The Q2 2026 figure ranks as the highest quarterly Price to Book since Q1 2024.
- The high point for year-over-year Price to Book in five years was Q1 2024 (growth of 327.4%); the low point was Q3 2022 (a decline of 82.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,170.57 Bn | 1,139.16 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 641.68 Bn | 560.21 Bn | 17.26 Bn |
| 3 | AbbVie | 502.16 Bn | 475.27 Bn | 12.70 Bn |
| 4 | Merck | 375.54 Bn | 329.92 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.70 Bn | 266.69 Bn | 11.24 Bn |
| 6 | Astrazeneca | 268.54 Bn | 242.22 Bn | 12.86 Bn |
| 7 | Amgen | 242.61 Bn | 198.01 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 193.36 Bn | 167.56 Bn | 6.22 Bn |
| 9 | Pfizer | 172.54 Bn | 119.18 Bn | 10.94 Bn |
| 10 | Curis | 848,381.84 | -33.34 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.32 |
| Mar 31, 2026 | 0.84 |
| Dec 31, 2025 | 2.34 |
| Mar 31, 2024 | 6.77 |
| Dec 31, 2023 | 3.82 |
| Sep 30, 2023 | 1.31 |
| Jun 30, 2023 | 3.14 |
| Mar 31, 2023 | 1.58 |
| Dec 31, 2022 | 1.14 |
| Sep 30, 2022 | 1.21 |
| Jun 30, 2022 | 1.45 |
| Mar 31, 2022 | 2.87 |
| Dec 31, 2021 | 4.81 |
| Sep 30, 2021 | 6.97 |
| Jun 30, 2021 | 6.57 |
| Mar 31, 2021 | 8.50 |
| Dec 31, 2020 | 3.05 |
| Sep 30, 2018 | 75.37 |
| Jun 30, 2018 | 8.06 |
| Mar 31, 2018 | 7.44 |
API Access
Curis 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=CRIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "CRIS", "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=CRIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();