Alnylam Pharmaceuticals (ALNY) Non-Current Assets (2009 - 2026)
Alnylam Pharmaceuticals' Non-Current Assets was $938.6 million in Q2 2026, up 1.8% from $922.32 million a year earlier and up 3.1% from the prior quarter.
Alnylam Pharmaceuticals (ALNY) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Alnylam Pharmaceuticals came in at $915.67 million, down 3.1% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $944.7 million in FY2024 (+11.5%), $847.18 million in FY2023 (-0.8%), $854.11 million in FY2022 (+2.3%) and $834.73 million in FY2021 (+5.4%).
- The Q2 2026 figure marks the highest quarterly Non-Current Assets since Q1 2025.
- Compared with a year earlier, Non-Current Assets was higher in five of the last eight quarters, with growth averaging 4.4%.
- The best year-over-year quarter for Non-Current Assets over five years was Q1 2025 (growth of 13.1%); the worst was Q2 2024 (a decline of 4.7%).
- Per Business Quant data, ALNY's Non-Current Assets in the three quarters before Q2 2026 was $910.24 million (Q1 2026), $915.67 million (Q4 2025) and $898.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Alnylam Pharmaceuticals | 34.23 Bn | 22.28 Bn | 992.69 Mn | 938.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 938.60 Mn |
| Mar 31, 2026 | 910.24 Mn |
| Dec 31, 2025 | 915.67 Mn |
| Sep 30, 2025 | 898.85 Mn |
| Jun 30, 2025 | 922.32 Mn |
| Mar 31, 2025 | 945.55 Mn |
| Dec 31, 2024 | 944.70 Mn |
| Sep 30, 2024 | 849.62 Mn |
| Jun 30, 2024 | 836.78 Mn |
| Mar 31, 2024 | 835.78 Mn |
| Dec 31, 2023 | 847.18 Mn |
| Sep 30, 2023 | 853.62 Mn |
| Jun 30, 2023 | 878.35 Mn |
| Mar 31, 2023 | 850.92 Mn |
| Dec 31, 2022 | 854.11 Mn |
| Sep 30, 2022 | 844.41 Mn |
| Jun 30, 2022 | 858.78 Mn |
| Mar 31, 2022 | 843.87 Mn |
| Dec 31, 2021 | 834.73 Mn |
| Sep 30, 2021 | 796.95 Mn |
Alnylam Pharmaceuticals Non-Current Assets 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=non-current-assets&ticker=ALNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ALNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();