Mineralys Therapeutics (MLYS) Capital Expenditures (2024 - 2025)
Mineralys Therapeutics' Capital Expenditures came in at $15,000 for Q4 2025.
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Analysis
Mineralys Therapeutics (MLYS) Capital Expenditures (2024 - 2025) Analysis & Trends
- Going back by year, Capital Expenditures was $96,000 in FY2024.
- The Q4 2025 figure represents the highest quarterly Capital Expenditures since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 2.93 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.32 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 322.00 Mn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 893.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 321.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 1.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 513.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 140.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 533.00 Mn |
| 10 | Mineralys Therapeutics | 1.79 Bn | -765.35 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 15,000.00 |
| Sep 30, 2024 | 37,000.00 |
| Mar 31, 2024 | 59,000.00 |
API Access
Mineralys Therapeutics Capital Expenditures 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=capital-expenditures&ticker=MLYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();