Stoke Therapeutics (STOK) Shares Outstanding (Diluted) (2018 - 2026)
Stoke Therapeutics' Weighted Average Shares Outstanding (Diluted) came in at 66.02 million for Q3 2026, up 12.6% from 58.61 million a year earlier and unchanged from the prior quarter.
Stoke Therapeutics (STOK) Shares Outstanding (Diluted) (2018 - 2026) Analysis & Trends
For FY2025, Stoke Therapeutics' Weighted Average Shares Outstanding (Diluted) was 59.22 million, up 9.6% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased in each of the last four years, with a four-year compound annual growth rate of 12.7% (FY2021 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 54.01 million in FY2024 (+22.8%), 43.99 million in FY2023 (+13.1%), 38.9 million in FY2022 (+5.9%) and 36.74 million in FY2021.
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has increased for 18 consecutive quarters, with growth averaging 12.7% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 4.0% (Q3 2025) and 28.4% (Q1 2025) over the last five years.
- Business Quant data shows STOK's Weighted Average Shares Outstanding (Diluted) at 66.02 million (Q2 2026), 63.06 million (Q1 2026) and 59.22 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Stoke Therapeutics | 1.76 Bn | 523.36 Mn | - | 68.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 68.36 Mn |
| Jun 30, 2026 | 66.02 Mn |
| Mar 31, 2026 | 63.06 Mn |
| Dec 31, 2025 | 59.22 Mn |
| Sep 30, 2025 | 58.61 Mn |
| Jun 30, 2025 | 58.35 Mn |
| Mar 31, 2025 | 59.40 Mn |
| Dec 31, 2024 | 54.01 Mn |
| Sep 30, 2024 | 56.34 Mn |
| Jun 30, 2024 | 55.77 Mn |
| Mar 31, 2024 | 46.25 Mn |
| Dec 31, 2023 | 43.99 Mn |
| Sep 30, 2023 | 44.27 Mn |
| Jun 30, 2023 | 44.19 Mn |
| Mar 31, 2023 | 42.54 Mn |
| Dec 31, 2022 | 38.90 Mn |
| Sep 30, 2022 | 39.26 Mn |
| Jun 30, 2022 | 39.26 Mn |
| Mar 31, 2022 | 37.45 Mn |
| Dec 31, 2021 | 36.74 Mn |
Stoke 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=STOK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "STOK", "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=STOK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();