Magellan Copper & Gold (MAGE) EBITDA (2017 - 2019)
Magellan Copper & Gold (MAGE) recorded EBITDA of -$208,018 in Q4 2019, compared with -$635,746 a year earlier.
Analysis
Magellan Copper & Gold (MAGE) EBITDA (2017 - 2019) Analysis & Trends
For FY2019, Magellan Copper & Gold reported EBITDA of -$886,569.
- Across earlier years, EBITDA came in at -$1.42 million in FY2018, -$1.32 million in FY2017 and -$424,265 in FY2016.
- Quarterly EBITDA has ranged from -$635,746 in Q4 2018 to -$126,022 in Q1 2019 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$290,767 (Q3 2019), -$262,462 (Q2 2019) and -$126,022 (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 1.61 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 722.41 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 2.53 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 2.01 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | - |
| 10 | Magellan Copper & Gold | 2.34 Mn | 2.33 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | -208,018.00 |
| Sep 30, 2019 | -290,767.00 |
| Jun 30, 2019 | -262,462.00 |
| Mar 31, 2019 | -126,022.00 |
| Dec 31, 2018 | -635,746.00 |
| Sep 30, 2018 | -303,360.00 |
| Jun 30, 2018 | -297,889.00 |
| Mar 31, 2018 | -187,599.00 |
| Sep 30, 2017 | -194,604.00 |
| Mar 31, 2017 | -164,072.00 |
API Access
Magellan Copper & Gold EBITDA 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=ebitda&ticker=MAGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();