Alkermes (ALKS) Total Non-Current Liabilities (2011 - 2026)
Alkermes' Total Non-Current Liabilities was $2.45 billion in Q2 2026, up 327.9% from $572.18 million a year earlier and up 2.1% from the prior quarter.
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Analysis
Alkermes (ALKS) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Alkermes came in at $606.69 million, up 13.5% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $534.57 million in FY2024 (-39.5%), $883.66 million in FY2023 (+0.7%), $877.84 million in FY2022 (+1.1%) and $868.25 million in FY2021 (+2.6%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q1 2013.
- Compared with a year earlier, Total Non-Current Liabilities has increased for three straight quarters, with growth averaging 69.7% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2026 (growth of 368.6%); the worst was Q4 2024 (a decline of 39.5%).
- Per Business Quant data, ALKS's Total Non-Current Liabilities in the three quarters before Q2 2026 was $2.4 billion (Q1 2026), $606.69 million (Q4 2025) and $539.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Alkermes | 6.73 Bn | 3.86 Bn | 397.90 Mn | 2.45 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.45 Bn |
| Mar 31, 2026 | 2.40 Bn |
| Dec 31, 2025 | 606.69 Mn |
| Sep 30, 2025 | 539.33 Mn |
| Jun 30, 2025 | 572.18 Mn |
| Mar 31, 2025 | 511.54 Mn |
| Dec 31, 2024 | 534.57 Mn |
| Sep 30, 2024 | 810.56 Mn |
| Jun 30, 2024 | 874.54 Mn |
| Mar 31, 2024 | 820.17 Mn |
| Dec 31, 2023 | 883.66 Mn |
| Sep 30, 2023 | 870.03 Mn |
| Jun 30, 2023 | 858.53 Mn |
| Mar 31, 2023 | 868.66 Mn |
| Dec 31, 2022 | 877.84 Mn |
| Sep 30, 2022 | 856.19 Mn |
| Jun 30, 2022 | 829.89 Mn |
| Mar 31, 2022 | 858.55 Mn |
| Dec 31, 2021 | 868.25 Mn |
| Sep 30, 2021 | 867.15 Mn |
API Access
Alkermes Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ALKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ALKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();