Maze Therapeutics (MAZE) EBITDA (2024 - 2026)
Maze Therapeutics (MAZE) posted EBITDA of -$47.64 million for Q2 2026, compared with -$35.83 million a year earlier.
Maze Therapeutics (MAZE) EBITDA (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Maze Therapeutics was -$143.71 million; for FY2025, it was -$140.5 million.
- In prior years, Maze Therapeutics' EBITDA was $60.89 million in FY2024.
- The Q2 2026 figure stands as the lowest quarterly EBITDA in data going back to Q1 2024.
- According to Business Quant data, EBITDA for the three prior quarters was -$26.11 million (Q1 2026), -$37.56 million (Q4 2025) and -$32.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 9.10 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 5.89 Bn |
| 10 | Maze Therapeutics | 1.92 Bn | 434.24 Mn | - | -47.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -47.52 Mn |
| Mar 31, 2026 | -25.74 Mn |
| Dec 31, 2025 | -37.56 Mn |
| Sep 30, 2025 | -32.39 Mn |
| Jun 30, 2025 | -35.83 Mn |
| Mar 31, 2025 | -34.72 Mn |
| Dec 31, 2024 | -29.02 Mn |
| Sep 30, 2024 | -23.44 Mn |
| Jun 30, 2024 | 140.41 Mn |
| Mar 31, 2024 | -27.06 Mn |
Maze Therapeutics EBITDA 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=ebitda&ticker=MAZE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MAZE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();