Scorpio Tankers (STNG) Return on Sales [ROS] (2016 - 2017)
Scorpio Tankers (STNG) recorded Return on Sales [ROS] of 37.86% in the year ended Dec 31, 2025, down 23.61 percentage points from 61.47% a year earlier.
Scorpio Tankers (STNG) Return on Sales [ROS] (2016 - 2017) Analysis & Trends
Starting with the year ended Dec 31, 2015, Scorpio Tankers' Return on Sales [ROS] history includes 11 years.
- Annual Return on Sales [ROS] has 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 is the lowest annual Return on Sales [ROS] since the year ended Dec 31, 2021.
- Per Business Quant data, STNG's Return on Sales [ROS] was 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 40.25% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 35.35% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 32.44% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.07% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 6.20% |
| 10 | Scorpio Tankers | 4.46 Bn | 283.17 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | -22.17% |
| Mar 31, 2017 | 26.87% |
| Mar 31, 2016 | 36.30% |
Scorpio Tankers Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=STNG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=STNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();