Lion Copper (LCGMD) Other Operating Expenses (2022 - 2025)
Lion Copper (LCGMD) recorded Other Operating Expenses of -$607,000 in Q3 2025, compared with -$452,000 a year earlier.
Lion Copper (LCGMD) Other Operating Expenses (2022 - 2025) Analysis & Trends
On a TTM basis, Lion Copper's Other Operating Expenses came in at -$2.1 million as of Sep 30, 2025; for FY2024, it was -$1.79 million.
- Across earlier years, Other Operating Expenses came in at -$1.35 million in FY2023, -$719,000 in FY2022, $2.01 million in FY2021 and -$438,000 in FY2020.
- The Q3 2025 figure is the lowest quarterly Other Operating Expenses in data going back to Q1 2022.
- Per Business Quant, the preceding three quarters came in at -$540,000 (Q2 2025), -$495,000 (Q1 2025) and -$460,000 (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 126.82 Bn | - |
| 2 | Southern Copper | 153.49 Bn | 132.28 Bn | 2.90 Bn |
| 3 | Rio Tinto | 135.48 Bn | 95.98 Bn | - |
| 4 | Newmont | 113.96 Bn | 79.11 Bn | 4.22 Bn |
| 5 | Freeport-Mcmoran | 93.70 Bn | 77.74 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 87.17 Bn | 76.80 Bn | 2.43 Bn |
| 7 | Barrick Mining | 65.05 Bn | 40.24 Bn | 2.90 Bn |
| 8 | Nucor | 58.96 Bn | 48.35 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 45.39 Bn | 24.42 Bn | - |
| 10 | Lion Copper | 1.81 Bn | 1.81 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 161,000.00 |
| Jun 30, 2025 | 77,000.00 |
| Mar 31, 2025 | 62,000.00 |
| Dec 31, 2024 | 80,000.00 |
| Sep 30, 2024 | 143,000.00 |
| Jun 30, 2024 | 46,000.00 |
| Mar 31, 2024 | 35,000.00 |
| Dec 31, 2023 | 15,000.00 |
| Sep 30, 2023 | 34,000.00 |
| Jun 30, 2023 | 19,000.00 |
| Mar 31, 2023 | 15,000.00 |
| Dec 31, 2022 | 18,000.00 |
| Sep 30, 2022 | 29,000.00 |
| Jun 30, 2022 | 43,000.00 |
| Mar 31, 2022 | 16,000.00 |
Lion Copper Other Operating Expenses 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=other-operating-expenses&ticker=LCGMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=LCGMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();