Alkermes (ALKS) Cash & Equivalents (2010 - 2026)
Alkermes' Cash & Equivalents was $511.53 million in Q2 2026, down 1.9% from $521.2 million a year earlier but up 45.5% from the prior quarter.
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Analysis
Alkermes (ALKS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Alkermes came in at $388.57 million, up 33.5% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $291.15 million in FY2024 (-36.4%), $457.47 million in FY2023 (+56.4%), $292.47 million in FY2022 (-13.4%) and $337.54 million in FY2021 (+23.7%).
- Quarterly Cash & Equivalents has moved between $254.65 million (Q2 2022) and $665.8 million (Q2 2023) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in two of the last eight quarters, with an average decline of 1.0%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2023 (growth of 161.5%); the worst was Q3 2024 (a decline of 38.8%).
- Per Business Quant data, ALKS's Cash & Equivalents in the three quarters before Q2 2026 was $351.55 million (Q1 2026), $388.57 million (Q4 2025) and $616.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | Alkermes | 6.79 Bn | 3.92 Bn | 397.90 Mn | 511.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 511.53 Mn |
| Mar 31, 2026 | 351.55 Mn |
| Dec 31, 2025 | 388.57 Mn |
| Sep 30, 2025 | 616.45 Mn |
| Jun 30, 2025 | 521.20 Mn |
| Mar 31, 2025 | 399.81 Mn |
| Dec 31, 2024 | 291.15 Mn |
| Sep 30, 2024 | 396.29 Mn |
| Jun 30, 2024 | 535.15 Mn |
| Mar 31, 2024 | 420.75 Mn |
| Dec 31, 2023 | 457.47 Mn |
| Sep 30, 2023 | 647.71 Mn |
| Jun 30, 2023 | 665.80 Mn |
| Mar 31, 2023 | 321.40 Mn |
| Dec 31, 2022 | 292.47 Mn |
| Sep 30, 2022 | 263.96 Mn |
| Jun 30, 2022 | 254.65 Mn |
| Mar 31, 2022 | 282.56 Mn |
| Dec 31, 2021 | 337.54 Mn |
| Sep 30, 2021 | 310.44 Mn |
API Access
Alkermes Cash & Equivalents 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=cash-and-equivalents&ticker=ALKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ALKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();