Scorpio Tankers (STNG) Capital Expenditures (2015 - 2016)
Scorpio Tankers (STNG) reported Capital Expenditures of $3 million for the year ended Dec 31, 2019, down 88.5% from $26.06 million a year earlier.
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Analysis
Scorpio Tankers (STNG) Capital Expenditures (2015 - 2016) Analysis & Trends
Dating back to the year ended Dec 31, 2013, Scorpio Tankers' Capital Expenditures record includes 6 years.
- Capital Expenditures has a four-year compound annual growth rate of -76.0% (years ended Dec 2015 to Dec 2019).
- The figure for the year ended Dec 31, 2019 ranks as the lowest annual Capital Expenditures since the year ended Dec 31, 2013.
- According to Business Quant data, Capital Expenditures came in at $26.06 million in the year ended Dec 31, 2018 (-89.9%), $258.31 million in the year ended Dec 31, 2017 (+103.6%), $126.84 million in the year ended Dec 31, 2016 (-86.0%) and $905.4 million in the year ended Dec 31, 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 873.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 576.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 547.98 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 693.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 439.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 1.47 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | -786.00 Mn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 77.04 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | -551.77 Mn |
| 10 | Scorpio Tankers | 4.33 Bn | 154.80 Mn | - | - |
API Access
Scorpio Tankers 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=STNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=STNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();