Scorpio Tankers (STNG) Operating Margin (2016 - 2017)
Scorpio Tankers' Operating Margin came in at 37.86% for the year ended Dec 31, 2025, down 23.61 percentage points from 61.47% a year earlier.
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Analysis
Scorpio Tankers (STNG) Operating Margin (2016 - 2017) Analysis & Trends
Going back to the year ended Dec 31, 2015, Scorpio Tankers' Operating Margin data covers 11 years.
- Operating Margin carries a five-year change of +11.07 percentage points (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the lowest annual Operating Margin since the year ended Dec 31, 2021.
- Per Business Quant, earlier years put Operating Margin at 61.47% in the year ended Dec 31, 2024 (+8.89 pp), 52.58% in the year ended Dec 31, 2023 (+1.53 pp), 51.04% in the year ended Dec 31, 2022 (+67.78 pp) and -16.74% in the year ended Dec 31, 2021 (-43.52 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 40.25% |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 35.35% |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 4.07% |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 32.44% |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 29.94% |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 13.12% |
| 10 | Scorpio Tankers | 4.31 Bn | 127.37 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | -22.17% |
| Mar 31, 2017 | 26.87% |
| Mar 31, 2016 | 36.30% |
API Access
Scorpio Tankers Operating 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=operating-margin&ticker=STNG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=STNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();