Design Therapeutics (DSGN) Shares Outstanding (2020 - 2026)
Design Therapeutics (DSGN) reported Shares Outstanding of 62.51 million for Q2 2026, up 9.9% from 56.86 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Design Therapeutics (DSGN) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Design Therapeutics posted Shares Outstanding of 57.33 million, up 1.3% from FY2024.
- Shares Outstanding has increased for five consecutive years, with a five-year compound annual growth rate of 29.4% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 56.59 million in FY2024 (+1.1%), 55.98 million in FY2023 (+0.5%), 55.71 million in FY2022 (+21.3%) and 45.94 million in FY2021 (+190.8%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding in data going back to Q1 2020.
- Year over year, Shares Outstanding has now increased in each of the last 22 quarters, with growth averaging 2.9% over the last eight quarters.
- The year-over-year growth in Shares Outstanding has ranged between 0.4% (Q3 2023) and 214.8% (Q1 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at 61.43 million (Q1 2026), 57.33 million (Q4 2025) and 56.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.41 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 | 1.94 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.55 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 540.00 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 | 253.70 Mn |
| 10 | Design Therapeutics | 786.63 Mn | -69.40 Mn | - | 62.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.51 Mn |
| Mar 31, 2026 | 61.43 Mn |
| Dec 31, 2025 | 57.33 Mn |
| Sep 30, 2025 | 56.95 Mn |
| Jun 30, 2025 | 56.86 Mn |
| Mar 31, 2025 | 56.76 Mn |
| Dec 31, 2024 | 56.59 Mn |
| Sep 30, 2024 | 56.62 Mn |
| Jun 30, 2024 | 56.56 Mn |
| Mar 31, 2024 | 56.49 Mn |
| Dec 31, 2023 | 55.98 Mn |
| Sep 30, 2023 | 55.99 Mn |
| Jun 30, 2023 | 55.95 Mn |
| Mar 31, 2023 | 55.91 Mn |
| Dec 31, 2022 | 55.71 Mn |
| Sep 30, 2022 | 55.78 Mn |
| Jun 30, 2022 | 55.67 Mn |
| Mar 31, 2022 | 55.51 Mn |
| Dec 31, 2021 | 45.94 Mn |
| Sep 30, 2021 | 55.16 Mn |
API Access
Design 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=DSGN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "DSGN", "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=DSGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();