Lion Copper (LCGMD) Operating Expenses (2022 - 2026)
Lion Copper (LCGMD) posted Operating Expenses of $10.1 million for Q2 2026, up 111.75% sequentially from $4.8 million in Q1 2026, and up 1598.99% year-over-year from $595000.0 in Q2 2025.
Lion Copper (LCGMD) Operating Expenses (2022 - 2026) Analysis & Trends
Lion Copper (LCGMD) has 5 years of Operating Expenses data on file, last reported at $10.1 million in Q2 2026.
- For the quarter ending Q2 2026, Operating Expenses rose 1598.99% year-over-year to $10.1 million; the trailing twelve-month figure through Jun 2026 stood at $14.4 million (up 447.39% YoY), and the FY2025 full-year result was $1.4 million, down 50.83% from the prior year.
- Operating Expenses was $10.1 million for Q2 2026 at Lion Copper, up from $4.8 million in the prior quarter.
- Over the last five years, Operating Expenses for LCGMD reached as high as $10.1 million in Q2 2026 and fell as low as -$796000.0 in Q3 2025.
- Average Operating Expenses over 5 years is $1.7 million, with a median of $784000.0 recorded in 2023.
- Across the five-year window, Operating Expenses soared 9821.74% in 2023 and slumped 242.91% in 2025, its largest moves.
- Over 5 years, Operating Expenses stood at $3.3 million in 2022, then increased by 24.75% to $4.1 million in 2023, then sank by 96.69% to $137000.0 in 2024, then jumped by 121.9% to $304000.0 in 2025, then soared by 3225.33% to $10.1 million in 2026.
- Business Quant data shows LCGMD's Operating Expenses at $10.1 million in Q2 2026, $4.8 million in Q1 2026, and $304000.0 in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 186.21 Bn | 152.34 Bn | - | - |
| 2 | Southern Copper | 170.20 Bn | 149.06 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 127.93 Bn | 96.10 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 111.02 Bn | 76.07 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.81 Bn | 99.96 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 97.22 Bn | 97.22 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 71.84 Bn | 56.58 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 56.10 Bn | 46.64 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 53.80 Bn | 34.82 Bn | - | -780.00 Mn |
| 10 | Lion Copper | 2.80 Bn | 2.80 Bn | - | 10.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.11 Mn |
| Mar 31, 2026 | 4.77 Mn |
| Dec 31, 2025 | 304,000.00 |
| Sep 30, 2025 | -796,000.00 |
| Jun 30, 2025 | 595,000.00 |
| Mar 31, 2025 | 1.34 Mn |
| Dec 31, 2024 | 137,000.00 |
| Sep 30, 2024 | 557,000.00 |
| Jun 30, 2024 | 1.19 Mn |
| Mar 31, 2024 | 1.05 Mn |
| Dec 31, 2023 | 4.13 Mn |
| Sep 30, 2023 | 2.28 Mn |
| Jun 30, 2023 | 973,000.00 |
| Mar 31, 2023 | 235,000.00 |
| Dec 31, 2022 | 67,000.00 |
| Sep 30, 2022 | 5,000.00 |
| Jun 30, 2022 | 69,000.00 |
| Mar 31, 2022 | 13,000.00 |
Lion Copper 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=operating-expenses&ticker=LCGMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=LCGMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();