Maze Therapeutics (MAZE) Accumulated Expenses (2023 - 2026)
Maze Therapeutics (MAZE) reported Accumulated Expenses of $15.87 million for Q2 2026, up 37.8% from $11.52 million a year earlier and up 28.1% from the prior quarter.
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Analysis
Maze Therapeutics (MAZE) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Maze Therapeutics posted Accumulated Expenses of $15.97 million, up 13.2% from FY2024.
- By year, Accumulated Expenses came in at $14.1 million in FY2024.
- Five-year quarterly Accumulated Expenses spans a low of $11.52 million in Q2 2025 and a high of $15.97 million in Q4 2025.
- Year over year, Accumulated Expenses has now increased in each of the last three quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $12.39 million (Q1 2026), $15.97 million (Q4 2025) and $14.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Maze Therapeutics | 2.00 Bn | 506.07 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.80 Mn |
| Jun 30, 2026 | 15.87 Mn |
| Mar 31, 2026 | 12.39 Mn |
| Dec 31, 2025 | 15.97 Mn |
| Sep 30, 2025 | 14.43 Mn |
| Jun 30, 2025 | 11.52 Mn |
| Mar 31, 2025 | 11.54 Mn |
| Dec 31, 2024 | 14.10 Mn |
| Dec 31, 2023 | 9.81 Mn |
API Access
Maze Therapeutics Accumulated Expenses 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=accumulated-expenses&ticker=MAZE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MAZE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();