Dyne Therapeutics (DYN) Shares Outstanding (2019 - 2026)
Dyne Therapeutics (DYN) posted Shares Outstanding of 165.45 million for Q2 2026, up 45.3% from 113.87 million a year earlier and up 0.3% from the prior quarter.
Dyne Therapeutics (DYN) Shares Outstanding (2019 - 2026) Analysis & Trends
For FY2025, Dyne Therapeutics' Shares Outstanding came in at 128.44 million, up 36.4% from FY2024.
- Annual Shares Outstanding has increased for six consecutive years, with a five-year compound annual growth rate of 54.9% (FY2020 to FY2025).
- In prior years, Dyne Therapeutics' Shares Outstanding was 94.14 million in FY2024 (+57.7%), 59.68 million in FY2023 (+14.8%), 51.98 million in FY2022 (+2.1%) and 50.9 million in FY2021 (+253.5%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding in data going back to Q3 2019.
- On a year-over-year basis, Shares Outstanding has increased in each of the last 20 quarters, with growth averaging 44.2% over the last eight quarters.
- The year-over-year growth in Shares Outstanding has ranged between 0.9% (Q2 2022) and 641.6% (Q3 2021) over the last five years.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 165.04 million (Q1 2026), 128.44 million (Q4 2025) and 141.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 892.40 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 2.41 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 1.94 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 1.55 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 540.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Dyne Therapeutics | 2.66 Bn | -1.11 Bn | - | 165.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 165.45 Mn |
| Mar 31, 2026 | 165.04 Mn |
| Dec 31, 2025 | 128.44 Mn |
| Sep 30, 2025 | 141.81 Mn |
| Jun 30, 2025 | 113.87 Mn |
| Mar 31, 2025 | 109.91 Mn |
| Dec 31, 2024 | 94.14 Mn |
| Sep 30, 2024 | 100.88 Mn |
| Jun 30, 2024 | 92.51 Mn |
| Mar 31, 2024 | 81.04 Mn |
| Dec 31, 2023 | 59.68 Mn |
| Sep 30, 2023 | 61.11 Mn |
| Jun 30, 2023 | 59.84 Mn |
| Mar 31, 2023 | 56.33 Mn |
| Dec 31, 2022 | 51.98 Mn |
| Sep 30, 2022 | 51.80 Mn |
| Jun 30, 2022 | 51.68 Mn |
| Mar 31, 2022 | 51.60 Mn |
| Dec 31, 2021 | 50.90 Mn |
| Sep 30, 2021 | 51.32 Mn |
Dyne Therapeutics Shares Outstanding 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&ticker=DYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "DYN", "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&ticker=DYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();