Lion Copper (LCU) Other Operating Expenses (2022 - 2025)
Lion Copper's Other Operating Expenses was -$607,000 in Q3 2025, compared with -$452,000 a year earlier.
Lion Copper (LCU) Other Operating Expenses (2022 - 2025) Analysis & Trends
On a trailing twelve-month basis, Lion Copper's Other Operating Expenses was -$2.1 million through Sep 30, 2025; for FY2024, it was -$1.79 million.
- In earlier years, Other Operating Expenses was -$1.35 million in FY2023, -$719,000 in FY2022, $2.01 million in FY2021 and -$438,000 in FY2020.
- The Q3 2025 figure marks the lowest quarterly Other Operating Expenses in data going back to Q1 2022.
- Per Business Quant data, LCU's Other Operating Expenses in the three quarters before Q3 2025 was -$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 | 167.04 Bn | 136.08 Bn | - |
| 2 | Southern Copper | 146.98 Bn | 125.77 Bn | 2.90 Bn |
| 3 | Rio Tinto | 132.61 Bn | 93.11 Bn | - |
| 4 | Newmont | 110.97 Bn | 76.12 Bn | 4.22 Bn |
| 5 | Freeport-Mcmoran | 89.32 Bn | 89.32 Bn | - |
| 6 | Agnico Eagle Mines | 82.42 Bn | 69.36 Bn | 2.15 Bn |
| 7 | Barrick Mining | 62.61 Bn | 37.81 Bn | 2.90 Bn |
| 8 | Nucor | 61.81 Bn | 61.81 Bn | - |
| 9 | ArcelorMittal | 45.43 Bn | 24.45 Bn | - |
| 10 | Lion Copper | 1.80 Bn | 1.80 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=LCU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "LCU", "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=LCU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();