Mineralys Therapeutics (MLYS) Accumulated Expenses (2022 - 2026)
Mineralys Therapeutics (MLYS) recorded Accumulated Expenses of $18.25 million in Q2 2026, down 4.0% from $19.01 million a year earlier but up 34.2% from the prior quarter.
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Analysis
Mineralys Therapeutics (MLYS) Accumulated Expenses (2022 - 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.
- Quarterly Accumulated Expenses has ranged from $4.01 million in Q2 2023 to $28.22 million in Q3 2024 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in three of the last eight quarters, with growth averaging 28.5%.
- 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 $13.6 million (Q1 2026), $13.1 million (Q4 2025) and $22.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Mineralys Therapeutics | 2.22 Bn | 2.22 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
API Access
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_KEYimport 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();