W&T Offshore (WTI) Other Operating Expenses (2009 - 2026)
W&T Offshore (WTI) recorded Other Operating Expenses of $95.31 million in Q3 2026, up 5.9% from $90.04 million a year earlier and up 9.7% from the prior quarter.
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Analysis
W&T Offshore (WTI) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, W&T Offshore's Other Operating Expenses came in at $357.2 million as of Sep 30, 2026, up 3.7% year-over-year; for FY2025, it was $357.91 million, up 4.6% from FY2024.
- Annual Other Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $342.04 million in FY2024 (+9.3%), $312.94 million in FY2023 (+9.4%), $286.05 million in FY2022 (+26.9%) and $225.43 million in FY2021 (+9.3%).
- The Q3 2026 figure is the highest quarterly Other Operating Expenses since Q4 2013.
- On a year-over-year basis, Other Operating Expenses rose in four of the last eight quarters, with growth averaging 2.3%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 43.6% in Q1 2023, against a decline of 35.3% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $86.9 million (Q2 2026), $83.29 million (Q1 2026) and $91.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn |
| 10 | W&T Offshore | 520.45 Mn | -93.03 Mn | 55.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 655,000.00 |
| Jun 30, 2026 | 40.92 Mn |
| Mar 31, 2026 | 44.44 Mn |
| Dec 31, 2025 | 45.56 Mn |
| Sep 30, 2025 | 42.40 Mn |
| Jun 30, 2025 | 40.63 Mn |
| Mar 31, 2025 | 46.94 Mn |
| Dec 31, 2024 | 52.28 Mn |
| Sep 30, 2024 | 48.20 Mn |
| Jun 30, 2024 | 53.65 Mn |
| Mar 31, 2024 | 49.45 Mn |
| Dec 31, 2023 | 47.66 Mn |
| Sep 30, 2023 | 43.32 Mn |
| Jun 30, 2023 | 42.70 Mn |
| Mar 31, 2023 | 36.27 Mn |
| Dec 31, 2022 | 42.73 Mn |
| Sep 30, 2022 | 46.31 Mn |
| Jun 30, 2022 | 43.54 Mn |
| Mar 31, 2022 | 36.18 Mn |
| Dec 31, 2021 | 37.80 Mn |
API Access
W&T Offshore Other Operating 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=other-operating-expenses&ticker=WTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "WTI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=WTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();