Alnylam Pharmaceuticals (ALNY) Accounts Payables (2009 - 2026)
Alnylam Pharmaceuticals (ALNY) reported Accounts Payables of $108.02 million for Q2 2026, up 5.5% from $102.39 million a year earlier but down 14.7% from the prior quarter.
Alnylam Pharmaceuticals (ALNY) Accounts Payables (2009 - 2026) Analysis & Trends
At the end of FY2025, Alnylam Pharmaceuticals posted Accounts Payables of $115.72 million, up 30.9% from FY2024.
- Accounts Payables has a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- By year, Accounts Payables came in at $88.42 million in FY2024 (+59.3%), $55.52 million in FY2023 (-43.4%), $98.09 million in FY2022 (+33.6%) and $73.43 million in FY2021 (+41.3%).
- Five-year quarterly Accounts Payables spans a low of $40.05 million in Q3 2021 and a high of $126.63 million in Q1 2026.
- Year over year, Accounts Payables has now increased in each of the last seven quarters, with growth averaging 31.3% over the last eight quarters.
- The high point for year-over-year Accounts Payables in five years was Q3 2023 (growth of 82.0%); the low point was Q4 2023 (a decline of 43.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $126.63 million (Q1 2026), $115.72 million (Q4 2025) and $117.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 6.11 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 9.32 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 33.30 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 3.83 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 4.26 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 22.89 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 2.87 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 674.00 Mn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 4.58 Bn |
| 10 | Alnylam Pharmaceuticals | 30.17 Bn | 18.22 Bn | 992.69 Mn | 108.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108.02 Mn |
| Mar 31, 2026 | 126.63 Mn |
| Dec 31, 2025 | 115.72 Mn |
| Sep 30, 2025 | 117.59 Mn |
| Jun 30, 2025 | 102.39 Mn |
| Mar 31, 2025 | 97.40 Mn |
| Dec 31, 2024 | 88.42 Mn |
| Sep 30, 2024 | 70.81 Mn |
| Jun 30, 2024 | 73.98 Mn |
| Mar 31, 2024 | 78.15 Mn |
| Dec 31, 2023 | 55.52 Mn |
| Sep 30, 2023 | 73.84 Mn |
| Jun 30, 2023 | 59.75 Mn |
| Mar 31, 2023 | 62.24 Mn |
| Dec 31, 2022 | 98.09 Mn |
| Sep 30, 2022 | 40.57 Mn |
| Jun 30, 2022 | 52.42 Mn |
| Mar 31, 2022 | 54.92 Mn |
| Dec 31, 2021 | 73.43 Mn |
| Sep 30, 2021 | 40.05 Mn |
Alnylam Pharmaceuticals Accounts Payables 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=accounts-payables&ticker=ALNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=ALNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();