Design Therapeutics (DSGN) Shares Outstanding (Diluted) (2021 - 2026)
Design Therapeutics' Shares Outstanding (Diluted) was 62.51 million in Q2 2026, up 9.9% from 56.86 million a year earlier and up 1.7% from the prior quarter.
Design Therapeutics (DSGN) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Design Therapeutics came in at 57.33 million, up 1.3% from FY2024.
- Shares Outstanding (Diluted) has now increased for four consecutive years, with a four-year compound annual growth rate of 5.7% (FY2021 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 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.
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2021.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for 17 straight quarters, with growth averaging 2.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 0.4% (Q3 2023) to 21.3% (Q4 2022).
- Per Business Quant data, DSGN's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 61.43 million (Q1 2026), 57.33 million (Q4 2025) and 56.95 million (Q3 2025).
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 | Design Therapeutics | 786.63 Mn | -69.40 Mn | - | 62.51 Mn |
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 |
Design 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=DSGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=DSGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();