Mineralys Therapeutics (MLYS) Total Current Liabilities (2022 - 2026)
Mineralys Therapeutics (MLYS) reported Total Current Liabilities of $19.32 million for Q2 2026, down 12.9% from $22.17 million a year earlier but up 31.3% from the prior quarter.
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Analysis
Mineralys Therapeutics (MLYS) Total Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Mineralys Therapeutics posted Total Current Liabilities of $15.11 million, up 3.2% from FY2024.
- Total Current Liabilities has increased for three consecutive years, with a three-year compound annual growth rate of 23.3% (FY2022 to FY2025).
- By year, Total Current Liabilities came in at $14.65 million in FY2024 (+39.7%), $10.48 million in FY2023 (+29.9%) and $8.07 million in FY2022.
- Five-year quarterly Total Current Liabilities spans a low of $6.21 million in Q2 2023 and a high of $31.32 million in Q3 2024.
- Year over year, Total Current Liabilities gained in four of the last eight quarters, with growth averaging 11.8%.
- The high point for year-over-year Total Current Liabilities in five years was Q2 2024 (growth of 357.5%); the low point was Q1 2025 (a decline of 30.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.72 million (Q1 2026), $15.11 million (Q4 2025) and $23.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Mineralys Therapeutics | 2.26 Bn | 2.26 Bn | - | 19.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.32 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 | 8.07 Mn |
API Access
Mineralys Therapeutics Total Current 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-current-liabilities&ticker=MLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=MLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();