Alnylam Pharmaceuticals (ALNY) Total Liabilities (2009 - 2026)
Alnylam Pharmaceuticals (ALNY) recorded Total Liabilities of $4.2 billion in Q2 2026, up 4.8% from $4.01 billion a year earlier and up 3.7% from the prior quarter.
Alnylam Pharmaceuticals (ALNY) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Alnylam Pharmaceuticals reported Total Liabilities of $4.18 billion, up 0.1% from FY2024.
- Annual Total Liabilities has increased for eight straight years, with a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $4.17 billion in FY2024 (+3.0%), $4.05 billion in FY2023 (+9.3%), $3.7 billion in FY2022 (+21.3%) and $3.06 billion in FY2021 (+27.8%).
- Quarterly Total Liabilities has ranged from $2.72 billion in Q3 2021 to $4.62 billion in Q3 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for four consecutive quarters, with growth averaging 2.9% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 32.6% in Q3 2022, against a decline of 6.3% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.05 billion (Q1 2026), $4.18 billion (Q4 2025) and $4.62 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 7.18 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 | 4.18 Bn |
| Sep 30, 2025 | 4.62 Bn |
| Jun 30, 2025 | 4.01 Bn |
| Mar 31, 2025 | 3.79 Bn |
| Dec 31, 2024 | 4.17 Bn |
| Sep 30, 2024 | 4.17 Bn |
| Jun 30, 2024 | 4.01 Bn |
| Mar 31, 2024 | 4.04 Bn |
| Dec 31, 2023 | 4.05 Bn |
| Sep 30, 2023 | 4.00 Bn |
| Jun 30, 2023 | 3.81 Bn |
| Mar 31, 2023 | 3.65 Bn |
| Dec 31, 2022 | 3.70 Bn |
| Sep 30, 2022 | 3.60 Bn |
| Jun 30, 2022 | 3.15 Bn |
| Mar 31, 2022 | 3.03 Bn |
| Dec 31, 2021 | 3.06 Bn |
| Sep 30, 2021 | 2.72 Bn |
Alnylam Pharmaceuticals Total 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-liabilities&ticker=ALNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ALNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();