Coherus Oncology (CHRS) Price to Book (2014 - 2026)
Coherus Oncology's (CHRS) Price to Book stood at 3.55 in Q2 2026, up 402.0% from 0.71 a year earlier and up 7.2% from the prior quarter.
Analysis
Coherus Oncology (CHRS) Price to Book (2014 - 2026) Analysis & Trends
For FY2025, Coherus Oncology's Price to Book came in at 2.82.
- Across earlier years, Price to Book came in at 12.56 in FY2021 (+180.1%).
- The Q2 2026 figure is the highest quarterly Price to Book since Q1 2022.
- Per Business Quant, the preceding three quarters came in at 3.31 (Q1 2026), 2.82 (Q4 2025) and 2.17 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn |
| 10 | Coherus Oncology | 155.59 Mn | -480.55 Mn | 10.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.55 |
| Mar 31, 2026 | 3.31 |
| Dec 31, 2025 | 2.82 |
| Sep 30, 2025 | 2.17 |
| Jun 30, 2025 | 0.71 |
| Mar 31, 2022 | 79.47 |
| Dec 31, 2021 | 12.56 |
| Sep 30, 2021 | 9.41 |
| Jun 30, 2021 | 6.77 |
| Mar 31, 2021 | 8.37 |
| Dec 31, 2020 | 4.49 |
| Sep 30, 2020 | 5.17 |
| Jun 30, 2020 | 5.98 |
| Mar 31, 2020 | 7.31 |
| Dec 31, 2019 | 12.04 |
| Sep 30, 2019 | 25.36 |
| Sep 30, 2018 | 90.56 |
| Jun 30, 2018 | 15.36 |
| Dec 31, 2017 | 17.25 |
| Sep 30, 2017 | 13.77 |
API Access
Coherus Oncology 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=CHRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "CHRS", "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=CHRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();