Mineralys Therapeutics (MLYS) Total Liabilities (2022 - 2026)
Mineralys Therapeutics' Total Liabilities came in at $116.94 million for Q2 2026, up 427.4% from $22.17 million a year earlier and up 694.5% from the prior quarter.
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Analysis
Mineralys Therapeutics (MLYS) Total Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Mineralys Therapeutics' Total Liabilities was $15.11 million, up 3.2% from FY2024.
- Total Liabilities carries a three-year compound annual growth rate of -55.1% (FY2022 to FY2025).
- Going back by year, Total Liabilities was $14.65 million in FY2024 (+39.7%), $10.48 million in FY2023 (-93.7%) and $166.71 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Total Liabilities since Q4 2022.
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 66.8% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2026 (growth of 427.4%), and the weakest in Q4 2023 (a decline of 93.7%).
- Business Quant data shows MLYS's Total Liabilities at $14.72 million (Q1 2026), $15.11 million (Q4 2025) and $23.52 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Mineralys Therapeutics | 2.26 Bn | 2.26 Bn | - | 116.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116.94 Mn |
| Mar 31, 2026 | 14.72 Mn |
| Dec 31, 2025 | 15.11 Mn |
| Sep 30, 2025 | 23.52 Mn |
| Jun 30, 2025 | 22.17 Mn |
| Mar 31, 2025 | 13.39 Mn |
| Dec 31, 2024 | 14.65 Mn |
| Sep 30, 2024 | 31.32 Mn |
| Jun 30, 2024 | 28.40 Mn |
| Mar 31, 2024 | 19.20 Mn |
| Dec 31, 2023 | 10.48 Mn |
| Sep 30, 2023 | 13.54 Mn |
| Jun 30, 2023 | 6.21 Mn |
| Mar 31, 2023 | 10.56 Mn |
| Dec 31, 2022 | 166.71 Mn |
API Access
Mineralys Therapeutics Total Liabilities 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=total-liabilities&ticker=MLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();