Magellan Copper & Gold (MAGE) Selling, General & Administrative (2011 - 2026)
Magellan Copper & Gold (MAGE) reported Selling, General & Administrative of $113,041 for Q1 2026, up 94.8% from $58,036 a year earlier and up 153.5% from the prior quarter.
Magellan Copper & Gold (MAGE) Selling, General & Administrative (2011 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Magellan Copper & Gold's Selling, General & Administrative came in at $236,553, down 14.8% year-over-year; for FY2025, it came in at $181,548, down 43.3% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -31.2% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $319,938 in FY2024 (+39.1%), $230,062 in FY2023 (-5.3%), $242,883 in FY2022 (-86.3%) and $1.77 million in FY2021 (+50.7%).
- The Q1 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q4 2021.
- Year over year, Selling, General & Administrative gained in four of the last eight quarters, with growth averaging 0.5%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2021 (growth of 330.1%); the low point was Q2 2022 (a decline of 94.1%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $44,595 (Q4 2025), $31,603 (Q3 2025) and $47,314 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | - |
| 10 | Magellan Copper & Gold | 3.12 Mn | 3.11 Mn | - | 113,041.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 113,041.00 |
| Dec 31, 2025 | 44,595.00 |
| Sep 30, 2025 | 31,603.00 |
| Jun 30, 2025 | 47,314.00 |
| Mar 31, 2025 | 58,036.00 |
| Dec 31, 2024 | 40,587.00 |
| Sep 30, 2024 | 107,170.00 |
| Jun 30, 2024 | 71,817.00 |
| Mar 31, 2024 | 100,364.00 |
| Dec 31, 2023 | 69,303.00 |
| Sep 30, 2023 | 59,194.00 |
| Jun 30, 2023 | 67,620.00 |
| Mar 31, 2023 | 33,945.00 |
| Dec 31, 2022 | 109,762.00 |
| 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 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=MAGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();