Alkermes (ALKS) Operating Margin (2010 - 2026)
Alkermes (ALKS) posted Operating Margin of 7.50% for Q3 2026, down 15.10 percentage points from 22.60% a year earlier but up 3.80 percentage points from the prior quarter.
Alkermes (ALKS) Operating Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Operating Margin at Alkermes was 3.66%, down 19.91 percentage points year-over-year; for FY2025, it was 17.21%, down 9.80 percentage points from FY2024.
- Annual Operating Margin shows a five-year change of +28.03 percentage points (FY2020 to FY2025).
- In prior years, Alkermes' Operating Margin was 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 Operating Margin has run from a low of -24.03% in Q3 2022 to a high of 45.56% in Q2 2023 over five years.
- On a year-over-year basis, Operating Margin has declined in each of the last seven quarters, with an average year-over-year change of -8.51 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q2 2023, with a gain of 58.03 percentage points; the weakest was Q4 2023, with a drop of 23.47 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was 3.70% (Q2 2026), -12.29% (Q1 2026) and 15.11% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 52.42% |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 30.89% |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 32.98% |
| 10 | Alkermes | 7.77 Bn | 5.26 Bn | 385.91 Mn | 7.50% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.50% |
| 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% |
Alkermes Operating Margin 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=operating-margin&ticker=ALKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=ALKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();