Alkermes (ALKS) Shares Outstanding (Diluted) (2010 - 2026)
Alkermes (ALKS) recorded Shares Outstanding (Diluted) of 173.48 million in Q2 2026, up 3.0% from 168.36 million a year earlier and up 4.4% from the prior quarter.
Alkermes (ALKS) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Alkermes reported Shares Outstanding (Diluted) of 168.74 million, down 0.3% from FY2024.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 169.2 million in FY2024 (-0.3%), 169.73 million in FY2023 (+3.8%), 163.54 million in FY2022 (+1.6%) and 160.94 million in FY2021 (+1.3%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q1 2013.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in two of the last eight quarters, with an average decline of 0.6%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 4.8% in Q1 2024, against a decline of 2.8% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 166.2 million (Q1 2026), 168.74 million (Q4 2025) and 168.51 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 | Alkermes | 6.79 Bn | 3.92 Bn | 397.90 Mn | 173.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 173.48 Mn |
| Mar 31, 2026 | 166.20 Mn |
| Dec 31, 2025 | 168.74 Mn |
| Sep 30, 2025 | 168.51 Mn |
| Jun 30, 2025 | 168.36 Mn |
| Mar 31, 2025 | 168.74 Mn |
| Dec 31, 2024 | 169.20 Mn |
| Sep 30, 2024 | 167.03 Mn |
| Jun 30, 2024 | 170.98 Mn |
| Mar 31, 2024 | 172.98 Mn |
| Dec 31, 2023 | 169.73 Mn |
| Sep 30, 2023 | 171.90 Mn |
| Jun 30, 2023 | 171.55 Mn |
| Mar 31, 2023 | 165.09 Mn |
| Dec 31, 2022 | 163.54 Mn |
| Sep 30, 2022 | 164.28 Mn |
| Jun 30, 2022 | 163.84 Mn |
| Mar 31, 2022 | 162.48 Mn |
| Dec 31, 2021 | 160.94 Mn |
| Sep 30, 2021 | 161.46 Mn |
Alkermes 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=ALKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "ALKS", "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=ALKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();