Scorpio Tankers (STNG) Exchange Rate Effect (2009 - 2013)
Scorpio Tankers' Exchange Rate Effect came in at $324.7 million for the quarter ended Mar 31, 2013, compared with -$2.13 million a year earlier.
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Analysis
Scorpio Tankers (STNG) Exchange Rate Effect (2009 - 2013) Analysis & Trends
Over the trailing twelve months to Mar 31, 2013, Scorpio Tankers reported Exchange Rate Effect of -$427.32 million; for the year ended Dec 31, 2012, it came in at $50.33 million.
- Going back by year, Exchange Rate Effect was -$31.35 million in the year ended Dec 31, 2011, $67.74 million in the year ended Dec 31, 2010 and -$3.16 million in the year ended Dec 31, 2009.
- The figure for the quarter ended Mar 31, 2013 represents the highest quarterly Exchange Rate Effect in data going back to the quarter ended Mar 31, 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 17.35 Mn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | -13.00 Mn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | -39.00 Mn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | -2.79 Mn |
| 10 | Scorpio Tankers | 4.31 Bn | 127.37 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2013 | 324.70 Mn |
| Dec 31, 2012 | -761.24 Mn |
| Mar 31, 2012 | -2.13 Mn |
| Dec 31, 2011 | 11.34 Mn |
| Dec 31, 2010 | 25.59 Mn |
| Sep 30, 2010 | 30.48 Mn |
| Jun 30, 2010 | 8.77 Mn |
| Mar 31, 2010 | 2.90 Mn |
| Dec 31, 2009 | -36,252.00 |
| Sep 30, 2009 | -380,690.00 |
| Jun 30, 2009 | -733,706.00 |
| Mar 31, 2009 | -2.01 Mn |
API Access
Scorpio Tankers 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=STNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "STNG", "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=STNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();