Magellan Copper & Gold (MAGE) Capital Expenditures (2010 - 2023)
Magellan Copper & Gold's Capital Expenditures came in at $769.00 for Q1 2022.
Analysis
Magellan Copper & Gold (MAGE) Capital Expenditures (2010 - 2023) Analysis & Trends
For FY2019, Magellan Copper & Gold's Capital Expenditures was $50,000, unchanged from FY2018.
- Going back by year, Capital Expenditures was $50,000 in FY2018.
- The Q1 2022 figure represents the highest quarterly Capital Expenditures since Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 169.76 Bn | 148.54 Bn | 2.90 Bn | 422.80 Mn |
| 3 | Rio Tinto | 144.26 Bn | 104.76 Bn | - | - |
| 4 | Newmont | 126.47 Bn | 94.48 Bn | 4.03 Bn | 719.00 Mn |
| 5 | Freeport-Mcmoran | 99.99 Bn | 84.03 Bn | 2.19 Bn | 1.10 Bn |
| 6 | Agnico Eagle Mines | 95.47 Bn | 85.10 Bn | 2.43 Bn | -809.26 Mn |
| 7 | Barrick Mining | 70.11 Bn | 45.31 Bn | 2.90 Bn | 1.19 Bn |
| 8 | Nucor | 59.48 Bn | 48.86 Bn | 2.03 Bn | 571.00 Mn |
| 9 | ArcelorMittal | 48.49 Bn | 27.51 Bn | - | -1.10 Bn |
| 10 | Magellan Copper & Gold | 2.34 Mn | 2.33 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 100,000.00 |
| Dec 31, 2022 | -769.00 |
| Mar 31, 2022 | 769.00 |
| Sep 30, 2019 | -25,000.00 |
| Mar 31, 2019 | 25,000.00 |
| Dec 31, 2018 | 50,000.00 |
| Sep 30, 2018 | 15,760.00 |
| Sep 30, 2014 | 100,000.00 |
| Mar 31, 2014 | 80,000.00 |
| Mar 31, 2013 | 40,350.00 |
| Dec 31, 2012 | 50,000.00 |
| Sep 30, 2012 | 33,200.00 |
| Jun 30, 2012 | 10,000.00 |
| Mar 31, 2012 | 30,000.00 |
| Dec 31, 2010 | 39,221.00 |
API Access
Magellan Copper & Gold Capital Expenditures 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=capital-expenditures&ticker=MAGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();