Scorpio Tankers (STNG) Accumulated Expenses (2009 - 2026)
Scorpio Tankers (STNG) posted Accumulated Expenses of $77.94 million for the quarter ended Jun 30, 2026, up 83.8% from $42.4 million a year earlier and up 74.7% from the prior quarter.
Scorpio Tankers (STNG) Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Scorpio Tankers' Accumulated Expenses came in at $65.61 million, down 10.8% from the prior year.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 15.3% (years ended Dec 2020 to Dec 2025).
- In prior years, Scorpio Tankers' Accumulated Expenses was $73.59 million in the year ended Dec 31, 2024 (+1.3%), $72.68 million in the year ended Dec 31, 2023 (-20.6%), $91.51 million in the year ended Dec 31, 2022 (+267.4%) and $24.91 million in the year ended Dec 31, 2021 (-22.6%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Accumulated Expenses since the quarter ended Dec 31, 2022.
- On a year-over-year basis, Accumulated Expenses increased in three of the last eight quarters, with an average decline of 5.0%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was the quarter ended Dec 31, 2022, with growth of 267.4%; the weakest was the quarter ended Sep 30, 2025, with a decline of 43.8%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $44.6 million (quarter ended Mar 31, 2026), $65.61 million (quarter ended Dec 31, 2025) and $41.81 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Scorpio Tankers | 4.33 Bn | 154.80 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.94 Mn |
| Mar 31, 2026 | 44.60 Mn |
| Dec 31, 2025 | 65.61 Mn |
| Sep 30, 2025 | 41.81 Mn |
| Jun 30, 2025 | 42.40 Mn |
| Mar 31, 2025 | 47.19 Mn |
| Dec 31, 2024 | 73.59 Mn |
| Sep 30, 2024 | 74.44 Mn |
| Jun 30, 2024 | 70.40 Mn |
| Mar 31, 2024 | 64.60 Mn |
| Dec 31, 2023 | 72.68 Mn |
| Sep 30, 2023 | 73.16 Mn |
| Jun 30, 2023 | 72.89 Mn |
| Mar 31, 2023 | 62.33 Mn |
| Dec 31, 2022 | 91.51 Mn |
| Sep 30, 2022 | 70.41 Mn |
| Jun 30, 2022 | 43.45 Mn |
| Mar 31, 2022 | 31.08 Mn |
| Dec 31, 2021 | 24.91 Mn |
| Sep 30, 2021 | 24.66 Mn |
Scorpio Tankers Accumulated Expenses 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=accumulated-expenses&ticker=STNG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=STNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();