Mineralys Therapeutics (MLYS) Accumulated Expenses (2021 - 2026)
Mineralys Therapeutics (MLYS) recorded Accumulated Expenses of $27.34 million in Q3 2026, up 22.0% from $22.4 million a year earlier and up 49.8% from the prior quarter.
Mineralys Therapeutics (MLYS) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Mineralys Therapeutics reported Accumulated Expenses of $13.1 million, down 7.6% from FY2024.
- Annual Accumulated Expenses has a three-year compound annual growth rate of 28.6% (FY2022 to FY2025).
- Across earlier years, Accumulated Expenses came in at $14.17 million in FY2024 (+43.4%), $9.88 million in FY2023 (+60.4%) and $6.16 million in FY2022.
- The Q3 2026 figure is the highest quarterly Accumulated Expenses since Q3 2024.
- On a year-over-year basis, Accumulated Expenses rose in three of the last eight quarters, with an average decline of 0.5%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 565.4% in Q2 2024, against a decline of 28.8% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.25 million (Q2 2026), $13.6 million (Q1 2026) and $13.1 million (Q4 2025).
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 | Mineralys Therapeutics | 1.37 Bn | -1.21 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.34 Mn |
| Jun 30, 2026 | 18.25 Mn |
| Mar 31, 2026 | 13.60 Mn |
| Dec 31, 2025 | 13.10 Mn |
| Sep 30, 2025 | 22.40 Mn |
| Jun 30, 2025 | 19.01 Mn |
| Mar 31, 2025 | 13.01 Mn |
| Dec 31, 2024 | 14.17 Mn |
| Sep 30, 2024 | 28.22 Mn |
| Jun 30, 2024 | 26.69 Mn |
| Mar 31, 2024 | 14.94 Mn |
| Dec 31, 2023 | 9.88 Mn |
| Sep 30, 2023 | 7.97 Mn |
| Jun 30, 2023 | 4.01 Mn |
| Mar 31, 2023 | 8.17 Mn |
| Dec 31, 2022 | 6.16 Mn |
| Dec 31, 2021 | 4.29 Mn |
Mineralys 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=MLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();