Alkermes (ALKS) Capital Expenditures (2010 - 2026)
Alkermes' Capital Expenditures came in at $8.15 million for Q2 2026, down 37.4% from $13.02 million a year earlier but up 99.2% from the prior quarter.
Alkermes (ALKS) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Alkermes reported Capital Expenditures of $29.53 million, down 28.3% year-over-year; for FY2025, it came in at $40.42 million, up 20.7% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $33.48 million in FY2024 (-30.3%), $48.05 million in FY2023 (+25.6%), $38.26 million in FY2022 (+36.5%) and $28.02 million in FY2021 (-33.6%).
- The five-year range for quarterly Capital Expenditures is -$20,000 (Q4 2025) to $17.31 million (Q3 2025).
- Year-over-year, Capital Expenditures increased in three of the last seven quarters, with growth averaging 4.5%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q3 2022 (growth of 117.6%), and the weakest in Q1 2026 (a decline of 59.5%).
- Business Quant data shows ALKS's Capital Expenditures at $4.09 million (Q1 2026), -$20,000 (Q4 2025) and $17.31 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Alkermes | 6.73 Bn | 3.86 Bn | 397.90 Mn | 8.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.15 Mn |
| Mar 31, 2026 | 4.09 Mn |
| Dec 31, 2025 | -20,000.00 |
| Sep 30, 2025 | 17.31 Mn |
| Jun 30, 2025 | 13.02 Mn |
| Mar 31, 2025 | 10.11 Mn |
| Dec 31, 2024 | 9.77 Mn |
| Sep 30, 2024 | 8.26 Mn |
| Jun 30, 2024 | 7.11 Mn |
| Mar 31, 2024 | 8.34 Mn |
| Dec 31, 2023 | 17.03 Mn |
| Sep 30, 2023 | 14.45 Mn |
| Jun 30, 2023 | 9.71 Mn |
| Mar 31, 2023 | 6.86 Mn |
| Dec 31, 2022 | 10.03 Mn |
| Sep 30, 2022 | 10.47 Mn |
| Jun 30, 2022 | 9.96 Mn |
| Mar 31, 2022 | 7.79 Mn |
| Dec 31, 2021 | 8.66 Mn |
| Sep 30, 2021 | 4.81 Mn |
Alkermes Capital Expenditures 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=capital-expenditures&ticker=ALKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ALKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();