Aligos Therapeutics (ALGS) Receivables - Net (2026)
Aligos Therapeutics (ALGS) posted Receivables - Net of $27.78 million for Q2 2026.
Analysis
Aligos Therapeutics (ALGS) Receivables - Net (2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,140.41 Bn | 1,108.99 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 618.57 Bn | 537.10 Bn | 17.26 Bn |
| 3 | AbbVie | 509.95 Bn | 483.06 Bn | 12.70 Bn |
| 4 | Merck | 366.63 Bn | 321.01 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.47 Bn | 262.46 Bn | 11.24 Bn |
| 6 | Astrazeneca | 263.21 Bn | 236.89 Bn | 12.86 Bn |
| 7 | Amgen | 236.71 Bn | 192.11 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 193.05 Bn | 167.25 Bn | 6.22 Bn |
| 9 | Pfizer | 171.45 Bn | 118.10 Bn | 10.94 Bn |
| 10 | Aligos Therapeutics | 52.52 Mn | -275.89 Mn | - |
API Access
Aligos Therapeutics Receivables - Net 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=receivables-net&ticker=ALGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "ALGS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables-net&ticker=ALGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();