Magellan Copper & Gold (MAGE) Other Operating Expenses (2012 - 2025)
Magellan Copper & Gold (MAGE) recorded Other Operating Expenses of $100,000 in Q4 2025, down 76.3% from $422,565 a year earlier.
Analysis
Magellan Copper & Gold (MAGE) Other Operating Expenses (2012 - 2025) Analysis & Trends
Starting with Q2 2012, Magellan Copper & Gold's Other Operating Expenses history includes 12 quarters.
- Annual Other Operating Expenses has a three-year compound annual growth rate of -54.2% (FY2022 to FY2025).
- Across earlier years, Other Operating Expenses came in at $422,565 in FY2024 (-64.6%), $1.19 million in FY2023 (+15.1%) and $1.04 million in FY2022.
- The Q4 2025 figure is the lowest quarterly Other Operating Expenses since Q3 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Magellan Copper & Gold | 3.12 Mn | 3.11 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 100,000.00 |
| Dec 31, 2024 | 422,565.00 |
| Dec 31, 2023 | 1.19 Mn |
| Dec 31, 2022 | 1.04 Mn |
| Sep 30, 2019 | -10,000.00 |
| Dec 31, 2018 | 443,492.00 |
| Sep 30, 2018 | 121,014.00 |
| Jun 30, 2018 | 284,192.00 |
| Mar 31, 2018 | 31,035.00 |
| Dec 31, 2017 | 358,168.00 |
| Dec 31, 2013 | 14,821.00 |
| Jun 30, 2012 | 1,504.00 |
API Access
Magellan Copper & Gold 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=MAGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "MAGE", "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=MAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();