Scorpio Tankers (STNG) Net Margin (2016 - 2017)
Scorpio Tankers' Net Margin was 36.70% in the year ended Dec 31, 2025, down 17.07 percentage points from 53.76% a year earlier.
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Analysis
Scorpio Tankers (STNG) Net Margin (2016 - 2017) Analysis & Trends
From the year ended Dec 31, 2015 onward, Scorpio Tankers has reported Net Margin for 11 years.
- Net Margin shows a five-year change of +26.42 percentage points (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 marks the lowest annual Net Margin since the year ended Dec 31, 2021.
- Per Business Quant data, Net Margin in earlier years was 53.76% in the year ended Dec 31, 2024 (+12.99 pp), 40.78% in the year ended Dec 31, 2023 (unchanged), 40.77% in the year ended Dec 31, 2022 (+84.13 pp) and -43.35% in the year ended Dec 31, 2021 (-53.63 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 29.04% |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 25.46% |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 24.59% |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 2.65% |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 21.18% |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 6.39% |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 8.12% |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 22.56% |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 12.26% |
| 10 | Scorpio Tankers | 4.31 Bn | 127.37 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | -33.63% |
| Mar 31, 2017 | -30.15% |
| Mar 31, 2016 | 25.28% |
API Access
Scorpio Tankers Net Margin 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=net-margin&ticker=STNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=STNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();