Magellan Copper & Gold (MAGE) Exchange Rate Effect (2017 - 2020)
Magellan Copper & Gold (MAGE) posted Exchange Rate Effect of $68,636 for FY2020, up 61.5% from $42,489 in FY2019.
Analysis
Magellan Copper & Gold (MAGE) Exchange Rate Effect (2017 - 2020) Analysis & Trends
Since FY2017, Magellan Copper & Gold has reported Exchange Rate Effect for 4 years.
- Business Quant data shows MAGE's Exchange Rate Effect at $42,489 in FY2019, -$29,367 in FY2018 and -$1,091 in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | -2.70 Mn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | -17.00 Mn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -726,000.00 |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | -1.73 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | - |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | -6.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -35.00 Mn |
| 10 | Magellan Copper & Gold | 2.34 Mn | 2.33 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 68,636.00 |
| Dec 31, 2019 | 50,642.00 |
| Sep 30, 2019 | -5,794.00 |
| Jun 30, 2019 | -2,025.00 |
| Mar 31, 2019 | -334.00 |
| Dec 31, 2018 | 34,619.00 |
| Sep 30, 2018 | -35,749.00 |
| Jun 30, 2018 | -26,447.00 |
| Mar 31, 2018 | -1,790.00 |
| Dec 31, 2017 | -229.00 |
| Sep 30, 2017 | -342.00 |
| Jun 30, 2017 | -390.00 |
| Mar 31, 2017 | -130.00 |
API Access
Magellan Copper & Gold Exchange Rate Effect 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=exchange-rate-effect&ticker=MAGE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=MAGE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();