Sarepta Therapeutics (SRPT) Shares Outstanding (Diluted) (2010 - 2026)
Sarepta Therapeutics' Shares Outstanding (Diluted) came in at 105.43 million for Q2 2026, down 1.1% from 106.62 million a year earlier and down 13.5% from the prior quarter.
Sarepta Therapeutics (SRPT) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Sarepta Therapeutics' Shares Outstanding (Diluted) was 100.12 million, down 7.2% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 107.88 million in FY2024 (+16.8%), 92.4 million in FY2023 (+5.5%), 87.56 million in FY2022 (+7.7%) and 81.26 million in FY2021 (+4.2%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 79.88 million (Q3 2021) to 121.92 million (Q1 2026).
- Year-over-year, Shares Outstanding (Diluted) increased in four of the last eight quarters, with growth averaging 6.5%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q1 2026 (growth of 25.2%), and the weakest in Q4 2025 (a decline of 7.2%).
- Business Quant data shows SRPT's Shares Outstanding (Diluted) at 121.92 million (Q1 2026), 100.12 million (Q4 2025) and 100.24 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 | Sarepta Therapeutics | 1.92 Bn | -1.31 Bn | 251.87 Mn | 105.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.43 Mn |
| Mar 31, 2026 | 121.92 Mn |
| Dec 31, 2025 | 100.12 Mn |
| Sep 30, 2025 | 100.24 Mn |
| Jun 30, 2025 | 106.62 Mn |
| Mar 31, 2025 | 97.36 Mn |
| Dec 31, 2024 | 107.88 Mn |
| Sep 30, 2024 | 100.45 Mn |
| Jun 30, 2024 | 99.14 Mn |
| Mar 31, 2024 | 99.11 Mn |
| Dec 31, 2023 | 92.40 Mn |
| Sep 30, 2023 | 88.89 Mn |
| Jun 30, 2023 | 88.74 Mn |
| Mar 31, 2023 | 88.19 Mn |
| Dec 31, 2022 | 87.56 Mn |
| Sep 30, 2022 | 87.63 Mn |
| Jun 30, 2022 | 87.51 Mn |
| Mar 31, 2022 | 87.25 Mn |
| Dec 31, 2021 | 81.26 Mn |
| Sep 30, 2021 | 79.88 Mn |
Sarepta 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=SRPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SRPT", "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=SRPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();