Damora Therapeutics (DMRA) Shares Outstanding (Diluted) (2021 - 2026)
Damora Therapeutics' Shares Outstanding (Diluted) came in at 61.14 million for Q2 2026, compared with 1.32 million a year earlier and up 78.1% from the prior quarter.
Damora Therapeutics (DMRA) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Damora Therapeutics' Shares Outstanding (Diluted) was 1.37 million, up 18.5% from FY2024.
- Shares Outstanding (Diluted) carries a four-year compound annual growth rate of -51.7% (FY2021 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 1.16 million in FY2024 (-95.6%), 26.57 million in FY2023 (+4.6%), 25.41 million in FY2022 (+0.6%) and 25.26 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2021.
- Year-over-year, Shares Outstanding (Diluted) increased in two of the last six quarters, with an average decline of 57.9%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q4 2025 (growth of 18.5%), and the weakest in Q3 2024 (a decline of 95.8%).
- Business Quant data shows DMRA's Shares Outstanding (Diluted) at 34.34 million (Q1 2026), 1.37 million (Q4 2025) and 1.33 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 255.20 Mn |
| 10 | Damora Therapeutics | 1.31 Bn | -24.93 Mn | - | 61.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.14 Mn |
| Mar 31, 2026 | 34.34 Mn |
| Dec 31, 2025 | 1.37 Mn |
| Sep 30, 2025 | 1.33 Mn |
| Jun 30, 2025 | 1.32 Mn |
| Mar 31, 2025 | 1.32 Mn |
| Dec 31, 2024 | 1.16 Mn |
| Sep 30, 2024 | 1.14 Mn |
| Jun 30, 2024 | 27.12 Mn |
| Mar 31, 2024 | 27.11 Mn |
| Dec 31, 2023 | 26.57 Mn |
| Sep 30, 2023 | 27.10 Mn |
| Jun 30, 2023 | 26.38 Mn |
| Mar 31, 2023 | 25.67 Mn |
| Dec 31, 2022 | 25.41 Mn |
| Sep 30, 2022 | 25.49 Mn |
| Jun 30, 2022 | 25.27 Mn |
| Mar 31, 2022 | 25.26 Mn |
| Dec 31, 2021 | 25.26 Mn |
| Sep 30, 2021 | 25.26 Mn |
Damora Therapeutics 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=DMRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "DMRA", "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=DMRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();