Lion Copper (LCGMD) Return on Capital Employed [ROCE] (2023 - 2026)
Lion Copper (LCGMD) posted Return on Capital Employed [ROCE] of -55.76% for Q2 2026, up 87.00 percentage points from the prior quarter.
Lion Copper (LCGMD) Return on Capital Employed [ROCE] (2023 - 2026) Analysis & Trends
For FY2025, Lion Copper's Return on Capital Employed [ROCE] came in at -96.74%, down 37.68 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a four-year change of -58.22 percentage points (FY2021 to FY2025).
- In prior years, Lion Copper's Return on Capital Employed [ROCE] was -59.06% in FY2024 (+22.60 pp), -81.66% in FY2023 (-23.44 pp), -58.22% in FY2022 (-19.70 pp) and -38.52% in FY2021.
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q4 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 151.38 Bn | 130.17 Bn | 2.90 Bn | 42.99% |
| 3 | Rio Tinto | 135.17 Bn | 95.67 Bn | - | - |
| 4 | Newmont | 115.47 Bn | 80.61 Bn | 4.22 Bn | 10.69% |
| 5 | Freeport-Mcmoran | 93.51 Bn | 77.55 Bn | 2.19 Bn | 13.20% |
| 6 | Agnico Eagle Mines | 87.07 Bn | 76.70 Bn | 2.43 Bn | 27.90% |
| 7 | Barrick Mining | 65.15 Bn | 40.35 Bn | 2.90 Bn | 22.21% |
| 8 | Nucor | 60.22 Bn | 49.60 Bn | 2.03 Bn | 13.42% |
| 9 | ArcelorMittal | 45.40 Bn | 24.42 Bn | - | 3.51% |
| 10 | Lion Copper | 1.81 Bn | 1.81 Bn | - | -55.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -55.76% |
| Mar 31, 2026 | -142.76% |
| Dec 31, 2025 | -99.47% |
| Dec 31, 2024 | -47.70% |
| Sep 30, 2024 | -38.32% |
| Jun 30, 2024 | -54.39% |
| Mar 31, 2024 | -133.80% |
| Dec 31, 2023 | -63.63% |
| Sep 30, 2023 | -48.24% |
| Jun 30, 2023 | -31.83% |
| Mar 31, 2023 | -76.99% |
Lion Copper 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=LCGMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "LCGMD", "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=LCGMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();