Alkermes (ALKS) Cost of Revenue (2010 - 2026)
Alkermes (ALKS) posted Cost of Revenue of $98.11 million for Q2 2026, up 98.4% from $49.46 million a year earlier and up 59.3% from the prior quarter.
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Analysis
Alkermes (ALKS) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Alkermes was $257.49 million, up 15.0% year-over-year; for FY2025, it was $196.46 million, down 19.9% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In prior years, Alkermes' Cost of Revenue was $245.33 million in FY2024 (-3.0%), $253.04 million in FY2023 (+16.0%), $218.07 million in FY2022 (+10.5%) and $197.32 million in FY2021 (+10.7%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue since Q2 2013.
- On a year-over-year basis, Cost of Revenue increased in three of the last eight quarters, with growth averaging 4.4%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q2 2026, with growth of 98.4%; the weakest was Q4 2025, with a decline of 25.6%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $61.58 million (Q1 2026), $46.21 million (Q4 2025) and $51.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 8.05 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Alkermes | 6.99 Bn | 4.13 Bn | 397.90 Mn | 98.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.11 Mn |
| Mar 31, 2026 | 61.58 Mn |
| Dec 31, 2025 | 46.21 Mn |
| Sep 30, 2025 | 51.59 Mn |
| Jun 30, 2025 | 49.46 Mn |
| Mar 31, 2025 | 49.20 Mn |
| Dec 31, 2024 | 62.12 Mn |
| Sep 30, 2024 | 63.10 Mn |
| Jun 30, 2024 | 61.47 Mn |
| Mar 31, 2024 | 58.64 Mn |
| Dec 31, 2023 | 70.13 Mn |
| Sep 30, 2023 | 61.50 Mn |
| Jun 30, 2023 | 63.25 Mn |
| Mar 31, 2023 | 58.16 Mn |
| Dec 31, 2022 | 53.92 Mn |
| Sep 30, 2022 | 50.63 Mn |
| Jun 30, 2022 | 58.36 Mn |
| Mar 31, 2022 | 55.16 Mn |
| Dec 31, 2021 | 53.62 Mn |
| Sep 30, 2021 | 49.56 Mn |
API Access
Alkermes Cost of Revenue 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=cost-of-revenue&ticker=ALKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ALKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();