Alkermes (ALKS) Non-Current Assets (2011 - 2026)
Alkermes (ALKS) reported Non-Current Assets of $2.87 billion for Q2 2026, up 364.8% from $617.52 million a year earlier but down 1.0% from the prior quarter.
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Analysis
Alkermes (ALKS) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2025, Alkermes posted Non-Current Assets of $557.83 million, down 12.9% from FY2024.
- Non-Current Assets has declined for four consecutive years, with a five-year compound annual growth rate of -7.8% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $640.21 million in FY2024 (-1.6%), $650.72 million in FY2023 (-21.9%), $833.67 million in FY2022 (-13.4%) and $962.32 million in FY2021 (+14.7%).
- Five-year quarterly Non-Current Assets spans a low of $557.83 million in Q4 2025 and a high of $2.9 billion in Q1 2026.
- Year over year, Non-Current Assets gained in two of the last eight quarters, with growth averaging 86.0%.
- The high point for year-over-year Non-Current Assets in five years was Q1 2026 (growth of 380.9%); the low point was Q3 2024 (a decline of 27.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.9 billion (Q1 2026), $557.83 million (Q4 2025) and $587.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Alkermes | 6.73 Bn | 3.86 Bn | 397.90 Mn | 2.87 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.87 Bn |
| Mar 31, 2026 | 2.90 Bn |
| Dec 31, 2025 | 557.83 Mn |
| Sep 30, 2025 | 587.85 Mn |
| Jun 30, 2025 | 617.52 Mn |
| Mar 31, 2025 | 602.93 Mn |
| Dec 31, 2024 | 640.21 Mn |
| Sep 30, 2024 | 591.11 Mn |
| Jun 30, 2024 | 664.65 Mn |
| Mar 31, 2024 | 655.07 Mn |
| Dec 31, 2023 | 650.72 Mn |
| Sep 30, 2023 | 814.45 Mn |
| Jun 30, 2023 | 789.83 Mn |
| Mar 31, 2023 | 812.67 Mn |
| Dec 31, 2022 | 833.67 Mn |
| Sep 30, 2022 | 888.10 Mn |
| Jun 30, 2022 | 911.43 Mn |
| Mar 31, 2022 | 963.02 Mn |
| Dec 31, 2021 | 962.32 Mn |
| Sep 30, 2021 | 942.43 Mn |
API Access
Alkermes Non-Current Assets 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=non-current-assets&ticker=ALKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ALKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();