Alnylam Pharmaceuticals (ALNY) Total Non-Current Liabilities (2009 - 2026)
Alnylam Pharmaceuticals' Total Non-Current Liabilities was $4.2 billion in Q2 2026, up 16.4% from $3.6 billion a year earlier and up 3.7% from the prior quarter.
Alnylam Pharmaceuticals (ALNY) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Alnylam Pharmaceuticals came in at $4.17 billion, up 13.1% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $3.69 billion in FY2024 (-1.5%), $3.74 billion in FY2023 (+7.2%), $3.49 billion in FY2022 (+18.1%) and $2.96 billion in FY2021 (+25.6%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- Compared with a year earlier, Total Non-Current Liabilities has increased for four straight quarters, with growth averaging 6.1% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2022 (growth of 29.5%); the worst was Q1 2025 (a decline of 9.6%).
- Per Business Quant data, ALNY's Total Non-Current Liabilities in the three quarters before Q2 2026 was $4.05 billion (Q1 2026), $4.17 billion (Q4 2025) and $4.18 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Alnylam Pharmaceuticals | 34.23 Bn | 22.28 Bn | 992.69 Mn | 4.20 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.20 Bn |
| Mar 31, 2026 | 4.05 Bn |
| Dec 31, 2025 | 4.17 Bn |
| Sep 30, 2025 | 4.18 Bn |
| Jun 30, 2025 | 3.60 Bn |
| Mar 31, 2025 | 3.37 Bn |
| Dec 31, 2024 | 3.69 Bn |
| Sep 30, 2024 | 3.82 Bn |
| Jun 30, 2024 | 3.66 Bn |
| Mar 31, 2024 | 3.72 Bn |
| Dec 31, 2023 | 3.74 Bn |
| Sep 30, 2023 | 3.72 Bn |
| Jun 30, 2023 | 3.55 Bn |
| Mar 31, 2023 | 3.43 Bn |
| Dec 31, 2022 | 3.49 Bn |
| Sep 30, 2022 | 3.42 Bn |
| Jun 30, 2022 | 3.00 Bn |
| Mar 31, 2022 | 2.91 Bn |
| Dec 31, 2021 | 2.96 Bn |
| Sep 30, 2021 | 2.64 Bn |
Alnylam Pharmaceuticals Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ALNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ALNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();