Scorpio Tankers (STNG) EPS (Diluted) (2011 - 2026)
Scorpio Tankers' EPS (Diluted) was $7.92 in the quarter ended Jun 30, 2026, up 447.9% from $1.44 a year earlier and up 79.2% from the prior quarter.
Scorpio Tankers (STNG) EPS (Diluted) (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Scorpio Tankers' EPS (Diluted) was $16.68 through Jun 30, 2026, up 136.4% year-over-year; for the year ended Dec 31, 2025, it was $7.03, down 46.5% from the prior year.
- EPS (Diluted) shows a five-year compound annual growth rate of 33.3% (years ended Dec 2020 to Dec 2025).
- In earlier years, EPS (Diluted) was $13.15 in the year ended Dec 31, 2024 (+31.1%), $10.03 in the year ended Dec 31, 2023 (unchanged), $10.03 in the year ended Dec 31, 2022 and -$4.28 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly EPS (Diluted) in data going back to the quarter ended Dec 31, 2011.
- Compared with a year earlier, EPS (Diluted) has increased for three straight quarters, with growth averaging 86.8% over the last eight quarters.
- The best year-over-year quarter for EPS (Diluted) over five years was the quarter ended Jun 30, 2026 (growth of 447.9%); the worst was the quarter ended Mar 31, 2025 (a decline of 70.9%).
- Per Business Quant data, STNG's EPS (Diluted) in the three quarters before the quarter ended Jun 30, 2026 was $4.42 (quarter ended Mar 31, 2026), $2.62 (quarter ended Dec 31, 2025) and $1.66 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 3.36 |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 0.54 |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 0.83 |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 0.71 |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 3.26 |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 6.68 |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.44 |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.68 |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 1.17 |
| 10 | Scorpio Tankers | 4.31 Bn | 127.37 Mn | - | 7.92 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.92 |
| Mar 31, 2026 | 4.42 |
| Dec 31, 2025 | 2.62 |
| Sep 30, 2025 | 1.66 |
| Jun 30, 2025 | 1.44 |
| Mar 31, 2025 | 1.14 |
| Dec 31, 2024 | 1.35 |
| Sep 30, 2024 | 2.91 |
| Jun 30, 2024 | 4.17 |
| Mar 31, 2024 | 3.93 |
| Dec 31, 2023 | 2.22 |
| Sep 30, 2023 | 1.58 |
| Jun 30, 2023 | 2.08 |
| Mar 31, 2023 | 3.04 |
| Dec 31, 2022 | 4.16 |
| Sep 30, 2022 | 4.86 |
| Jun 30, 2022 | 3.49 |
| Mar 31, 2022 | -1.54 |
| Dec 31, 2021 | -0.84 |
| Sep 30, 2021 | -1.30 |
Scorpio Tankers EPS (Diluted) 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=eps-diluted&ticker=STNG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=STNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();