Mineralys Therapeutics (MLYS) EBITDA (2023 - 2026)
Mineralys Therapeutics' EBITDA came in at -$59.24 million for Q3 2026, compared with -$41.12 million a year earlier.
Mineralys Therapeutics (MLYS) EBITDA (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Mineralys Therapeutics reported EBITDA of -$388.87 million; for FY2025, it came in at -$170.55 million.
- Going back by year, EBITDA was -$192.36 million in FY2024 and -$84.66 million in FY2023.
- The five-year range for quarterly EBITDA is -$246.04 million (Q2 2026) to -$14.94 million (Q1 2023).
- Business Quant data shows MLYS's EBITDA at -$246.04 million (Q2 2026), -$45.33 million (Q1 2026) and -$38.27 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 13.33 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 8.30 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 8.16 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 7.37 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | - |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 4.83 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 4.20 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 7.05 Bn |
| 10 | Mineralys Therapeutics | 1.42 Bn | -1.17 Bn | - | -59.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -59.24 Mn |
| Jun 30, 2026 | -246.04 Mn |
| Mar 31, 2026 | -45.33 Mn |
| Dec 31, 2025 | -38.27 Mn |
| Sep 30, 2025 | -41.12 Mn |
| Jun 30, 2025 | -46.73 Mn |
| Mar 31, 2025 | -44.43 Mn |
| Dec 31, 2024 | -51.75 Mn |
| Sep 30, 2024 | -60.10 Mn |
| Jun 30, 2024 | -45.16 Mn |
| Mar 31, 2024 | -35.35 Mn |
| Dec 31, 2023 | -27.71 Mn |
| Sep 30, 2023 | -26.27 Mn |
| Jun 30, 2023 | -15.74 Mn |
| Mar 31, 2023 | -14.94 Mn |
Mineralys 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=MLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "MLYS", "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=MLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();