Scorpio Tankers (STNG) Non Operating Interest Expenses (2009 - 2026)
Scorpio Tankers (STNG) recorded Non Operating Interest Expenses of -$9.68 million in the quarter ended Sep 30, 2026, compared with -$19.96 million a year earlier.
Scorpio Tankers (STNG) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Scorpio Tankers' Non Operating Interest Expenses came in at -$77.26 million as of Sep 30, 2026; for the year ended Dec 31, 2025, it was $80.13 million, down 26.8% from the prior year.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of -12.4% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Non Operating Interest Expenses came in at $109.54 million in the year ended Dec 31, 2024 (-40.2%), $183.23 million in the year ended Dec 31, 2023 (+7.9%), $169.8 million in the year ended Dec 31, 2022 (+17.8%) and $144.1 million in the year ended Dec 31, 2021 (-7.0%).
- The figure for the quarter ended Sep 30, 2026 is the highest quarterly Non Operating Interest Expenses since the quarter ended Sep 30, 2014.
- Per Business Quant, the preceding three quarters came in at -$36.1 million (quarter ended Jun 30, 2026), -$12.23 million (quarter ended Mar 31, 2026) and -$19.25 million (quarter ended Dec 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.70 Bn | 168.95 Bn | - | 312.00 Mn |
| 2 | Csx | 93.70 Bn | 88.93 Bn | - | 207.00 Mn |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | - | 289.00 Mn |
| 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 | - | 193.00 Mn |
| 7 | Delta Air Lines | 56.18 Bn | 38.36 Bn | - | - |
| 8 | United Airlines Holdings | 35.90 Bn | -21.80 Bn | - | 359.00 Mn |
| 9 | Old Dominion Freight Line | 35.24 Bn | 34.09 Bn | - | 32,000.00 |
| 10 | Scorpio Tankers | 4.18 Bn | -1.44 Bn | 206.12 Mn | -9.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -9.68 Mn |
| Jun 30, 2026 | -36.10 Mn |
| Mar 31, 2026 | -12.23 Mn |
| Dec 31, 2025 | -19.25 Mn |
| Sep 30, 2025 | -19.96 Mn |
| Jun 30, 2025 | -21.31 Mn |
| Mar 31, 2025 | -19.62 Mn |
| Dec 31, 2024 | -18.34 Mn |
| Sep 30, 2024 | -20.88 Mn |
| Jun 30, 2024 | -33.33 Mn |
| Mar 31, 2024 | -36.99 Mn |
| Dec 31, 2023 | -46.28 Mn |
| Sep 30, 2023 | -49.70 Mn |
| Jun 30, 2023 | -43.72 Mn |
| Mar 31, 2023 | -43.53 Mn |
| Dec 31, 2022 | -48.78 Mn |
| Sep 30, 2022 | -42.30 Mn |
| Jun 30, 2022 | -40.71 Mn |
| Mar 31, 2022 | -38.00 Mn |
| Dec 31, 2021 | -38.32 Mn |
Scorpio Tankers Non Operating Interest 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=non-operating-interest-expenses&ticker=STNG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=STNG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();