Mineralys Therapeutics (MLYS) Return on Capital Employed [ROCE] (2023 - 2026)
Mineralys Therapeutics (MLYS) posted Return on Capital Employed [ROCE] of -65.40% for Q3 2026, down 23.97 percentage points from -41.43% a year earlier and down 7.56 percentage points from the prior quarter.
Mineralys Therapeutics (MLYS) Return on Capital Employed [ROCE] (2023 - 2026) Analysis & Trends
For FY2025, Mineralys Therapeutics' Return on Capital Employed [ROCE] came in at -40.74%, up 49.11 percentage points from FY2024.
- In prior years, Mineralys Therapeutics' Return on Capital Employed [ROCE] was -89.86% in FY2024 (-40.80 pp) and -49.06% in FY2023.
- The Q3 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in four of the last eight quarters, with an average year-over-year change of +0.20 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2025, with a gain of 58.79 percentage points; the weakest was Q4 2024, with a drop of 53.19 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -57.84% (Q2 2026), -26.69% (Q1 2026) and -27.71% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 35.41% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.65% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 11.32% |
| 10 | Mineralys Therapeutics | 1.37 Bn | -1.21 Bn | - | -65.40% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -65.40% |
| Jun 30, 2026 | -57.84% |
| Mar 31, 2026 | -26.69% |
| Dec 31, 2025 | -27.71% |
| Sep 30, 2025 | -41.43% |
| Jun 30, 2025 | -62.84% |
| Mar 31, 2025 | -75.45% |
| Dec 31, 2024 | -86.50% |
| Sep 30, 2024 | -64.24% |
| Jun 30, 2024 | -44.18% |
| Mar 31, 2024 | -37.50% |
| Dec 31, 2023 | -33.31% |
| Sep 30, 2023 | -24.72% |
| Jun 30, 2023 | -16.44% |
| Mar 31, 2023 | -19.44% |
Mineralys Therapeutics Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=MLYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=MLYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();