Monte Rosa Therapeutics (GLUE) Receivables - Net (2024)
Monte Rosa Therapeutics' Receivables - Net came in at $9 million for Q2 2024.
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Analysis
Monte Rosa Therapeutics (GLUE) Receivables - Net (2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.62 Bn | 1,105.21 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.59 Bn | 536.12 Bn | 17.26 Bn |
| 3 | AbbVie | 501.69 Bn | 474.80 Bn | 12.70 Bn |
| 4 | Merck | 368.29 Bn | 322.67 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.79 Bn | 261.78 Bn | 11.24 Bn |
| 6 | Astrazeneca | 260.82 Bn | 234.50 Bn | 12.86 Bn |
| 7 | Amgen | 236.53 Bn | 191.93 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.14 Bn | 165.33 Bn | 6.22 Bn |
| 9 | Pfizer | 169.69 Bn | 116.33 Bn | 10.94 Bn |
| 10 | Monte Rosa Therapeutics | 1.13 Bn | 541.27 Mn | - |
API Access
Monte Rosa 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=GLUE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "GLUE", "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=GLUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();