Alnylam Pharmaceuticals (ALNY) Capital Expenditures (2009 - 2026)
Alnylam Pharmaceuticals' Capital Expenditures was $34.68 million in Q2 2026, up 142.6% from $14.29 million a year earlier and up 58.8% from the prior quarter.
Alnylam Pharmaceuticals (ALNY) Capital Expenditures (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alnylam Pharmaceuticals' Capital Expenditures was $91.95 million through Jun 30, 2026, up 151.6% year-over-year; for FY2025, it came in at $58.7 million, up 71.2% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $34.28 million in FY2024 (-44.9%), $62.21 million in FY2023 (-13.7%), $72.06 million in FY2022 (-5.6%) and $76.37 million in FY2021 (+8.5%).
- The Q2 2026 figure marks the highest quarterly Capital Expenditures since Q4 2019.
- Compared with a year earlier, Capital Expenditures has increased for five straight quarters, with growth averaging 70.4% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2025 (growth of 189.6%); the worst was Q3 2024 (a decline of 75.5%).
- Per Business Quant data, ALNY's Capital Expenditures in the three quarters before Q2 2026 was $21.83 million (Q1 2026), $23.29 million (Q4 2025) and $12.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Alnylam Pharmaceuticals | 34.23 Bn | 22.28 Bn | 992.69 Mn | 34.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.68 Mn |
| Mar 31, 2026 | 21.83 Mn |
| Dec 31, 2025 | 23.29 Mn |
| Sep 30, 2025 | 12.14 Mn |
| Jun 30, 2025 | 14.29 Mn |
| Mar 31, 2025 | 8.97 Mn |
| Dec 31, 2024 | 9.09 Mn |
| Sep 30, 2024 | 4.19 Mn |
| Jun 30, 2024 | 8.02 Mn |
| Mar 31, 2024 | 12.97 Mn |
| Dec 31, 2023 | 15.31 Mn |
| Sep 30, 2023 | 17.09 Mn |
| Jun 30, 2023 | 15.92 Mn |
| Mar 31, 2023 | 13.89 Mn |
| Dec 31, 2022 | 21.64 Mn |
| Sep 30, 2022 | 16.51 Mn |
| Jun 30, 2022 | 16.06 Mn |
| Mar 31, 2022 | 17.86 Mn |
| Dec 31, 2021 | 21.89 Mn |
| Sep 30, 2021 | 26.06 Mn |
Alnylam Pharmaceuticals Capital Expenditures 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=capital-expenditures&ticker=ALNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ALNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();