Surrozen (SRZN) Price to Book (2021 - 2025)
Surrozen's (SRZN) Price to Book came in at 1.63 for Q2 2025, down 71.9% from 5.79 a year earlier and down 78.2% from the prior quarter.
Analysis
Surrozen (SRZN) Price to Book (2021 - 2025) Analysis & Trends
For FY2023, Surrozen's Price to Book stood at 0.51, up 121.9% from FY2022.
- In prior years, Surrozen's Price to Book was 0.23 in FY2022 (-84.1%) and 1.45 in FY2021.
- The Q2 2025 figure stands as the lowest quarterly Price to Book since Q1 2024.
- On a year-over-year basis, Price to Book increased in three of the last five quarters, with growth averaging 169.4%.
- The strongest year-over-year quarter for Price to Book in the past five years was Q1 2025, with growth of 578.8%; the weakest was Q4 2022, with a decline of 84.1%.
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 | Surrozen | 352.62 Mn | 352.62 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 1.63 |
| Mar 31, 2025 | 7.46 |
| Sep 30, 2024 | 6.87 |
| Jun 30, 2024 | 5.79 |
| Mar 31, 2024 | 1.10 |
| Dec 31, 2023 | 0.51 |
| Sep 30, 2023 | 0.33 |
| Jun 30, 2023 | 0.31 |
| Mar 31, 2023 | 0.29 |
| Dec 31, 2022 | 0.23 |
| Sep 30, 2022 | 0.92 |
| Jun 30, 2022 | 1.17 |
| Mar 31, 2022 | 1.03 |
| Dec 31, 2021 | 1.45 |
| Sep 30, 2021 | 1.57 |
| Jun 30, 2021 | 6.99 |
| Mar 31, 2021 | 4.34 |
API Access
Surrozen 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=SRZN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "SRZN", "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=SRZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();