Maze Therapeutics (MAZE) Total Liabilities (2024 - 2026)
Maze Therapeutics (MAZE) reported Total Liabilities of $78.5 million for Q2 2026, up 90.2% from $41.28 million a year earlier and up 0.6% from the prior quarter.
Maze Therapeutics (MAZE) Total Liabilities (2024 - 2026) Analysis & Trends
At the end of FY2025, Maze Therapeutics posted Total Liabilities of $42.16 million, down 92.4% from FY2024.
- By year, Total Liabilities came in at $551.73 million in FY2024.
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q4 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at $78.01 million (Q1 2026), $42.16 million (Q4 2025) and $42.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Maze Therapeutics | 1.49 Bn | 1.49 Bn | - | 78.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.50 Mn |
| Mar 31, 2026 | 78.01 Mn |
| Dec 31, 2025 | 42.16 Mn |
| Sep 30, 2025 | 42.62 Mn |
| Jun 30, 2025 | 41.28 Mn |
| Mar 31, 2025 | 40.77 Mn |
| Dec 31, 2024 | 551.73 Mn |
Maze Therapeutics Total Liabilities 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=total-liabilities&ticker=MAZE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MAZE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();