W&T Offshore (WTI) Operating Expenses (2010 - 2026)
W&T Offshore's Operating Expenses was $139.99 million in Q2 2026, up 3.5% from $135.22 million a year earlier and up 3.4% from the prior quarter.
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Analysis
W&T Offshore (WTI) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, W&T Offshore's Operating Expenses was $556.31 million through Jun 30, 2026, up 1.0% year-over-year; for FY2025, it came in at $554.27 million, down 2.3% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $567.46 million in FY2024 (+12.8%), $503.16 million in FY2023 (+7.8%), $466.92 million in FY2022 (+26.8%) and $368.35 million in FY2021 (+6.5%).
- Quarterly Operating Expenses has moved between $85.77 million (Q3 2021) and $148.99 million (Q2 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with growth averaging 1.3%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2022 (growth of 49.7%); the worst was Q4 2021 (a decline of 17.7%).
- Per Business Quant data, WTI's Operating Expenses in the three quarters before Q2 2026 was $135.38 million (Q1 2026), $140.81 million (Q4 2025) and $140.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 743.20 Bn | 699.68 Bn | - | 96.59 Bn |
| 2 | Chevron | 447.03 Bn | 419.15 Bn | 33.45 Bn | 53.37 Bn |
| 3 | Shell | 310.50 Bn | 240.25 Bn | 30.13 Bn | 8.70 Bn |
| 4 | TotalEnergies SE | 198.52 Bn | 79.10 Bn | 61.77 Bn | 46.44 Bn |
| 5 | Conocophillips | 177.09 Bn | 149.80 Bn | 12.81 Bn | 2.43 Bn |
| 6 | Equinor Asa | 119.58 Bn | 34.03 Bn | - | -22.18 Bn |
| 7 | Phillips 66 | 116.56 Bn | 104.35 Bn | 8.38 Bn | 47.07 Bn |
| 8 | Canadian Natural Resources | 113.43 Bn | 110.44 Bn | 8.84 Bn | 114.95 Mn |
| 9 | Suncor Energy | 96.25 Bn | 82.00 Bn | - | - |
| 10 | W&T Offshore | 595.08 Mn | 48.12 Mn | - | 139.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 139.99 Mn |
| Mar 31, 2026 | 135.38 Mn |
| Dec 31, 2025 | 140.81 Mn |
| Sep 30, 2025 | 140.13 Mn |
| Jun 30, 2025 | 135.22 Mn |
| Mar 31, 2025 | 138.11 Mn |
| Dec 31, 2024 | 137.34 Mn |
| Sep 30, 2024 | 140.34 Mn |
| Jun 30, 2024 | 148.99 Mn |
| Mar 31, 2024 | 140.79 Mn |
| Dec 31, 2023 | 130.55 Mn |
| Sep 30, 2023 | 125.13 Mn |
| Jun 30, 2023 | 126.11 Mn |
| Mar 31, 2023 | 121.38 Mn |
| Dec 31, 2022 | 133.70 Mn |
| Sep 30, 2022 | 128.37 Mn |
| Jun 30, 2022 | 111.48 Mn |
| Mar 31, 2022 | 93.37 Mn |
| Dec 31, 2021 | 97.29 Mn |
| Sep 30, 2021 | 85.77 Mn |
API Access
W&T Offshore 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=operating-expenses&ticker=WTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=WTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();