Alnylam Pharmaceuticals (ALNY) Return on Sales [ROS] (2009 - 2026)
Alnylam Pharmaceuticals' Return on Sales [ROS] came in at 17.93% for Q2 2026, up 20.02 percentage points from -2.09% a year earlier but down 5.09 percentage points from the prior quarter.
Alnylam Pharmaceuticals (ALNY) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Alnylam Pharmaceuticals reported Return on Sales [ROS] of 20.81%, up 30.31 percentage points year-over-year; for FY2025, it came in at 13.51%, up 21.37 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last seven years, with a five-year change of +181.60 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -7.87% in FY2024 (+7.57 pp), -15.43% in FY2023 (+60.24 pp), -75.68% in FY2022 (+8.26 pp) and -83.93% in FY2021 (+84.16 pp).
- The five-year range for quarterly Return on Sales [ROS] is -97.63% (Q3 2022) to 60.26% (Q1 2025).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +10.23 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 126.12 percentage points), and the weakest in Q3 2024 (a drop of 43.85 percentage points).
- Business Quant data shows ALNY's Return on Sales [ROS] at 23.02% (Q1 2026), 12.01% (Q4 2025) and 29.46% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 28.37% |
| 10 | Alnylam Pharmaceuticals | 29.96 Bn | 18.01 Bn | 992.69 Mn | 17.93% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.93% |
| Mar 31, 2026 | 23.02% |
| Dec 31, 2025 | 12.01% |
| Sep 30, 2025 | 29.46% |
| Jun 30, 2025 | -2.09% |
| Dec 31, 2024 | -17.73% |
| Sep 30, 2024 | -15.35% |
| Jun 30, 2024 | 7.37% |
| Mar 31, 2024 | -8.79% |
| Dec 31, 2023 | -26.47% |
| Sep 30, 2023 | 28.50% |
| Jun 30, 2023 | -72.10% |
| Mar 31, 2023 | -46.92% |
| Dec 31, 2022 | -56.30% |
| Sep 30, 2022 | -97.63% |
| Jun 30, 2022 | -85.26% |
| Mar 31, 2022 | -68.80% |
| Dec 31, 2021 | -75.26% |
| Sep 30, 2021 | -96.83% |
| Jun 30, 2021 | -66.27% |
Alnylam Pharmaceuticals 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=ALNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ALNY", "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=ALNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();