Alkermes (ALKS) Return on Sales [ROS] (2010 - 2026)
Alkermes (ALKS) recorded Return on Sales [ROS] of 3.70% in Q2 2026, down 20.10 percentage points from 23.80% a year earlier but up 15.99 percentage points from the prior quarter.
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Analysis
Alkermes (ALKS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Alkermes' Return on Sales [ROS] came in at 7.03% as of Jun 30, 2026, down 17.83 percentage points year-over-year; for FY2025, it came in at 17.21%, down 9.80 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +28.03 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 27.00% in FY2024 (+2.11 pp), 24.90% in FY2023 (+25.44 pp), -0.55% in FY2022 (-8.88 pp) and 8.33% in FY2021 (+19.15 pp).
- Quarterly Return on Sales [ROS] has ranged from -24.03% in Q3 2022 to 45.56% in Q2 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for six consecutive quarters, with an average year-over-year change of -6.08 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 58.03 percentage points in Q2 2023, against a drop of 23.47 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -12.29% (Q1 2026), 15.11% (Q4 2025) and 22.60% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Alkermes | 6.99 Bn | 4.13 Bn | 397.90 Mn | 3.70% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.70% |
| Mar 31, 2026 | -12.29% |
| Dec 31, 2025 | 15.11% |
| Sep 30, 2025 | 22.60% |
| Jun 30, 2025 | 23.80% |
| Mar 31, 2025 | 4.50% |
| Dec 31, 2024 | 37.84% |
| Sep 30, 2024 | 27.70% |
| Jun 30, 2024 | 27.53% |
| Mar 31, 2024 | 12.36% |
| Dec 31, 2023 | 14.47% |
| Sep 30, 2023 | 23.41% |
| Jun 30, 2023 | 45.56% |
| Mar 31, 2023 | -3.82% |
| Dec 31, 2022 | 37.94% |
| Sep 30, 2022 | -24.03% |
| Jun 30, 2022 | -12.47% |
| Mar 31, 2022 | -9.54% |
| Dec 31, 2021 | 39.89% |
| Sep 30, 2021 | -6.68% |
API Access
Alkermes Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=ALKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=ALKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();