Lion Copper (LCGMF) Selling, General & Administrative (2022 - 2026)
Lion Copper (LCGMF) reported Selling, General & Administrative of $798,000 for Q2 2026, down 42.7% from $1.39 million a year earlier and down 16.8% from the prior quarter.
Lion Copper (LCGMF) Selling, General & Administrative (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lion Copper's Selling, General & Administrative came in at $11.61 million, up 56.2% year-over-year; for FY2025, it was $10.07 million, up 100.8% from FY2024.
- Selling, General & Administrative has increased for four consecutive years, with a four-year compound annual growth rate of 263.0% (FY2021 to FY2025).
- By year, Selling, General & Administrative came in at $5.01 million in FY2024 (+601.3%), $715,000 in FY2023 (+410.7%), $140,000 in FY2022 (+141.4%) and $58,000 in FY2021.
- Five-year quarterly Selling, General & Administrative spans a low of $2,000 in Q3 2022 and a high of $9.61 million in Q4 2025.
- Year over year, Selling, General & Administrative gained in six of the last eight quarters, with growth averaging 303.0%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2023 (growth of 849.2%); the low point was Q2 2026 (a decline of 42.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $959,000 (Q1 2026), $9.61 million (Q4 2025) and $240,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Lion Copper | 1.88 Bn | 1.88 Bn | - | 798,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 798,000.00 |
| Mar 31, 2026 | 959,000.00 |
| Dec 31, 2025 | 9.61 Mn |
| Sep 30, 2025 | 240,000.00 |
| Jun 30, 2025 | 1.39 Mn |
| Mar 31, 2025 | 1.41 Mn |
| Dec 31, 2024 | 4.46 Mn |
| Sep 30, 2024 | 177,000.00 |
| Jun 30, 2024 | 164,000.00 |
| Mar 31, 2024 | 217,000.00 |
| Dec 31, 2023 | 598,000.00 |
| Sep 30, 2023 | 35,000.00 |
| Jun 30, 2023 | 68,000.00 |
| Mar 31, 2023 | 41,000.00 |
| Dec 31, 2022 | 63,000.00 |
| Sep 30, 2022 | 2,000.00 |
| Jun 30, 2022 | 65,000.00 |
| Mar 31, 2022 | 10,000.00 |
Lion Copper Selling, General & Administrative 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=selling-general-and-administrative&ticker=LCGMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "LCGMF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=LCGMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();