Maze Therapeutics (MAZE) Receivables - Net (2026)
Maze Therapeutics' Receivables - Net came in at $20 million for Q1 2026.
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Analysis
Maze Therapeutics (MAZE) Receivables - Net (2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,135.43 Bn | 1,104.02 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 616.54 Bn | 535.06 Bn | 17.26 Bn |
| 3 | AbbVie | 501.55 Bn | 474.66 Bn | 12.70 Bn |
| 4 | Merck | 367.19 Bn | 321.57 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.91 Bn | 261.90 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.40 Bn | 235.09 Bn | 12.86 Bn |
| 7 | Amgen | 236.18 Bn | 191.58 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 190.55 Bn | 164.75 Bn | 6.22 Bn |
| 9 | Pfizer | 169.40 Bn | 116.05 Bn | 10.94 Bn |
| 10 | Maze Therapeutics | 1.91 Bn | 422.74 Mn | - |
API Access
Maze 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=MAZE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "MAZE", "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=MAZE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();