Alkermes (ALKS) Shares Outstanding (2010 - 2026)
Alkermes (ALKS) recorded Weighted Average Shares Outstanding of 167.87 million in Q3 2026, up 1.7% from 165.09 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Alkermes (ALKS) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Alkermes reported Weighted Average Shares Outstanding of 164.7 million, down 0.4% from FY2024.
- Annual Weighted Average Shares Outstanding has a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 165.39 million in FY2024 (-0.5%), 166.22 million in FY2023 (+1.6%), 163.54 million in FY2022 (+1.6%) and 160.94 million in FY2021 (+1.3%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding since Q2 2024.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for three consecutive quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 1.9% in Q2 2022, against a decline of 2.7% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 167.03 million (Q2 2026), 166.2 million (Q1 2026) and 164.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 891.90 Mn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 2.47 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | 1.94 Bn |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 1.55 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 541.00 Mn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 1.24 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 5.70 Bn |
| 10 | Alkermes | 7.77 Bn | 5.26 Bn | 385.91 Mn | 167.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 167.87 Mn |
| Jun 30, 2026 | 167.03 Mn |
| Mar 31, 2026 | 166.20 Mn |
| Dec 31, 2025 | 164.70 Mn |
| Sep 30, 2025 | 165.09 Mn |
| Jun 30, 2025 | 164.96 Mn |
| Mar 31, 2025 | 163.41 Mn |
| Dec 31, 2024 | 165.39 Mn |
| Sep 30, 2024 | 163.37 Mn |
| Jun 30, 2024 | 168.32 Mn |
| Mar 31, 2024 | 167.98 Mn |
| Dec 31, 2023 | 166.22 Mn |
| Sep 30, 2023 | 166.61 Mn |
| Jun 30, 2023 | 166.28 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 |
API Access
Alkermes 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=ALKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=ALKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();