Scorpio Tankers (STNG) Accumulated Expenses (2009 - 2026)
Scorpio Tankers (STNG) posted Accumulated Expenses of $84.12 million for the quarter ended Sep 30, 2026, up 101.2% from $41.81 million a year earlier and up 7.9% from the prior quarter.
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Analysis
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 Sep 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 growth averaging 7.4%.
- 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 $77.94 million (quarter ended Jun 30, 2026), $44.6 million (quarter ended Mar 31, 2026) and $65.61 million (quarter ended Dec 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 176.70 Bn | 168.95 Bn | - |
| 2 | Csx | 93.70 Bn | 88.93 Bn | - |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.52 Bn | 81.24 Bn | - |
| 5 | Fedex | 74.96 Bn | 41.16 Bn | - |
| 6 | Norfolk Southern | 73.93 Bn | 68.39 Bn | - |
| 7 | Delta Air Lines | 56.18 Bn | 38.36 Bn | - |
| 8 | United Airlines Holdings | 35.90 Bn | -21.80 Bn | - |
| 9 | Old Dominion Freight Line | 35.24 Bn | 34.09 Bn | - |
| 10 | Scorpio Tankers | 4.18 Bn | -1.44 Bn | 206.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 84.12 Mn |
| 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 |
API Access
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_KEYimport 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();