Surrozen (SRZN) Shares Outstanding (Diluted) (2020 - 2026)
Surrozen (SRZN) posted Shares Outstanding (Diluted) of 23.15 million for Q2 2026, up 171.0% from 8.54 million a year earlier and up 111.4% from the prior quarter.
Surrozen (SRZN) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Surrozen's Shares Outstanding (Diluted) came in at 7.48 million, up 155.0% from FY2024.
- Annual Shares Outstanding (Diluted) shows a four-year compound annual growth rate of 46.0% (FY2021 to FY2025).
- In prior years, Surrozen's Shares Outstanding (Diluted) was 2.93 million in FY2024 (+45.3%), 2.02 million in FY2023 (-12.8%), 2.31 million in FY2022 (+40.6%) and 1.65 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2021.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last ten quarters, with growth averaging 130.2% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q1 2026, with growth of 201.8%; the weakest was Q1 2023, with a decline of 14.0%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 10.95 million (Q1 2026), 7.48 million (Q4 2025) and 8.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Surrozen | 384.30 Mn | -14.29 Mn | - | 11.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.77 Mn |
| Jun 30, 2026 | 23.15 Mn |
| Mar 31, 2026 | 10.95 Mn |
| Dec 31, 2025 | 7.48 Mn |
| Sep 30, 2025 | 8.57 Mn |
| Jun 30, 2025 | 8.54 Mn |
| Mar 31, 2025 | 3.63 Mn |
| Dec 31, 2024 | 2.93 Mn |
| Sep 30, 2024 | 3.23 Mn |
| Jun 30, 2024 | 3.16 Mn |
| Mar 31, 2024 | 2.08 Mn |
| Dec 31, 2023 | 2.02 Mn |
| Sep 30, 2023 | 2.03 Mn |
| Jun 30, 2023 | 2.00 Mn |
| Mar 31, 2023 | 2.00 Mn |
| Dec 31, 2022 | 2.31 Mn |
| Sep 30, 2022 | 2.33 Mn |
| Jun 30, 2022 | 2.33 Mn |
| Mar 31, 2022 | 2.32 Mn |
| Dec 31, 2021 | 1.65 Mn |
Surrozen Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=SRZN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=SRZN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();