Alnylam Pharmaceuticals (ALNY) Other Operating Expenses (2012 - 2026)
Alnylam Pharmaceuticals' Other Operating Expenses was $298.45 million in Q2 2026, up 108.8% from $142.95 million a year earlier and up 41.4% from the prior quarter.
Alnylam Pharmaceuticals (ALNY) Other Operating Expenses (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alnylam Pharmaceuticals' Other Operating Expenses was $977.45 million through Jun 30, 2026, up 142.7% year-over-year; for FY2025, it came in at $681.87 million, up 110.9% from FY2024.
- Other Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 54.3% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $323.37 million in FY2024 (+4.2%), $310.41 million in FY2023 (+83.9%), $168.82 million in FY2022 (+20.5%) and $140.14 million in FY2021 (+79.6%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses in data going back to Q4 2012.
- Compared with a year earlier, Other Operating Expenses has increased for eight straight quarters, with growth averaging 92.1% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q1 2026 (growth of 197.2%); the worst was Q2 2024 (a decline of 19.6%).
- Per Business Quant data, ALNY's Other Operating Expenses in the three quarters before Q2 2026 was $211.12 million (Q1 2026), $267.72 million (Q4 2025) and $200.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn |
| 10 | Alnylam Pharmaceuticals | 34.23 Bn | 22.28 Bn | 992.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 298.45 Mn |
| Mar 31, 2026 | 211.12 Mn |
| Dec 31, 2025 | 267.72 Mn |
| Sep 30, 2025 | 200.15 Mn |
| Jun 30, 2025 | 142.95 Mn |
| Mar 31, 2025 | 71.04 Mn |
| Dec 31, 2024 | 102.82 Mn |
| Sep 30, 2024 | 85.91 Mn |
| Jun 30, 2024 | 68.67 Mn |
| Mar 31, 2024 | 65.98 Mn |
| Dec 31, 2023 | 85.86 Mn |
| Sep 30, 2023 | 84.31 Mn |
| Jun 30, 2023 | 85.37 Mn |
| Mar 31, 2023 | 54.87 Mn |
| Dec 31, 2022 | 51.27 Mn |
| Sep 30, 2022 | 41.12 Mn |
| Jun 30, 2022 | 40.81 Mn |
| Mar 31, 2022 | 35.63 Mn |
| Dec 31, 2021 | 37.66 Mn |
| Sep 30, 2021 | 32.66 Mn |
Alnylam Pharmaceuticals Other Operating Expenses 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=other-operating-expenses&ticker=ALNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=ALNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();