Alnylam Pharmaceuticals (ALNY) Debt Ratio (2016 - 2021)
Alnylam Pharmaceuticals' Debt Ratio was 0.19 in Q4 2021, up 230.3% from 0.06 a year earlier.
Analysis
Alnylam Pharmaceuticals (ALNY) Debt Ratio (2016 - 2021) Analysis & Trends
From Q2 2016 onward, Alnylam Pharmaceuticals has reported Debt Ratio for 15 quarters.
- In earlier years, Debt Ratio was 0.06 in FY2020, 0.02 in FY2018 (+26.7%) and 0.02 in FY2017 (-87.3%).
- The Q4 2021 figure marks the highest quarterly Debt Ratio in data going back to Q2 2016.
- The best year-over-year quarter for Debt Ratio over five years was Q4 2021 (growth of 230.3%); the worst was Q1 2018 (a decline of 88.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | - |
| 10 | Alnylam Pharmaceuticals | 34.23 Bn | 22.28 Bn | 992.69 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | 0.19 |
| Dec 31, 2020 | 0.06 |
| Jun 30, 2019 | 0.01 |
| Mar 31, 2019 | 0.01 |
| Dec 31, 2018 | 0.02 |
| Sep 30, 2018 | 0.02 |
| Jun 30, 2018 | 0.02 |
| Mar 31, 2018 | 0.02 |
| Dec 31, 2017 | 0.02 |
| Sep 30, 2017 | 0.11 |
| Jun 30, 2017 | 0.10 |
| Mar 31, 2017 | 0.13 |
| Dec 31, 2016 | 0.12 |
| Sep 30, 2016 | 0.11 |
| Jun 30, 2016 | 0.11 |
API Access
Alnylam Pharmaceuticals Debt Ratio 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=debt-ratio&ticker=ALNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=ALNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();