Magellan Copper & Gold (MAGE) Operating Expenses (2011 - 2026)
Magellan Copper & Gold (MAGE) posted Operating Expenses of $113,041 for Q1 2026, up 94.8% from $58,036 a year earlier but down 21.8% from the prior quarter.
Magellan Copper & Gold (MAGE) Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Operating Expenses at Magellan Copper & Gold was $336,553, down 51.9% year-over-year; for FY2025, it was $281,548, down 62.1% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -24.9% (FY2020 to FY2025).
- In prior years, Magellan Copper & Gold's Operating Expenses was $742,503 in FY2024 (-47.9%), $1.42 million in FY2023 (+11.2%), $1.28 million in FY2022 (-27.7%) and $1.77 million in FY2021 (+50.7%).
- Quarterly Operating Expenses has run from a low of $31,211 in Q2 2022 to a high of $1.26 million in Q4 2023 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 12.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2022, with growth of 803.3%; the weakest was Q2 2022, with a decline of 94.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $144,595 (Q4 2025), $31,603 (Q3 2025) and $47,314 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -780.00 Mn |
| 10 | Magellan Copper & Gold | 2.34 Mn | 2.33 Mn | - | 113,041.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 113,041.00 |
| Dec 31, 2025 | 144,595.00 |
| Sep 30, 2025 | 31,603.00 |
| Jun 30, 2025 | 47,314.00 |
| Mar 31, 2025 | 58,036.00 |
| Dec 31, 2024 | 463,152.00 |
| Sep 30, 2024 | 107,170.00 |
| Jun 30, 2024 | 71,817.00 |
| Mar 31, 2024 | 100,364.00 |
| Dec 31, 2023 | 1.26 Mn |
| Sep 30, 2023 | 59,194.00 |
| Jun 30, 2023 | 67,620.00 |
| Mar 31, 2023 | 33,945.00 |
| Dec 31, 2022 | 1.15 Mn |
| Sep 30, 2022 | 33,313.00 |
| Jun 30, 2022 | 31,211.00 |
| Mar 31, 2022 | 68,597.00 |
| Dec 31, 2021 | 127,008.00 |
| Sep 30, 2021 | 392,852.00 |
| Jun 30, 2021 | 531,550.00 |
Magellan Copper & Gold 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=MAGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=MAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();