W&T Offshore (WTI) Accumulated Expenses (2010 - 2026)
W&T Offshore's Accumulated Expenses came in at $37.54 million for Q2 2026, up 49.7% from $25.07 million a year earlier but down 39.8% from the prior quarter.
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Analysis
W&T Offshore (WTI) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, W&T Offshore's Accumulated Expenses was $39.81 million, up 19.7% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $33.27 million in FY2024 (+4.0%), $31.98 million in FY2023 (-56.8%), $74.04 million in FY2022 (-30.2%) and $106.14 million in FY2021 (+255.2%).
- The five-year range for quarterly Accumulated Expenses is $15.56 million (Q1 2024) to $209.85 million (Q1 2022).
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 32.3% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2021 (growth of 341.9%), and the weakest in Q1 2023 (a decline of 87.5%).
- Business Quant data shows WTI's Accumulated Expenses at $62.36 million (Q1 2026), $39.81 million (Q4 2025) and $18.93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 673.87 Bn | 637.09 Bn | - |
| 2 | Shell | 543.95 Bn | 454.50 Bn | 30.13 Bn |
| 3 | Chevron | 409.32 Bn | 387.11 Bn | 33.45 Bn |
| 4 | TotalEnergies SE | 186.50 Bn | 69.63 Bn | - |
| 5 | Eni Spa | 171.15 Bn | 120.67 Bn | - |
| 6 | Conocophillips | 152.65 Bn | 125.36 Bn | 12.81 Bn |
| 7 | Equinor Asa | 105.44 Bn | 51.50 Bn | - |
| 8 | Phillips 66 | 105.42 Bn | 94.41 Bn | 8.38 Bn |
| 9 | Canadian Natural Resources | 99.52 Bn | 96.47 Bn | - |
| 10 | W&T Offshore | 549.43 Mn | 2.48 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.54 Mn |
| Mar 31, 2026 | 62.36 Mn |
| Dec 31, 2025 | 39.81 Mn |
| Sep 30, 2025 | 18.93 Mn |
| Jun 30, 2025 | 25.07 Mn |
| Mar 31, 2025 | 19.21 Mn |
| Dec 31, 2024 | 33.27 Mn |
| Sep 30, 2024 | 21.63 Mn |
| Jun 30, 2024 | 29.00 Mn |
| Mar 31, 2024 | 15.56 Mn |
| Dec 31, 2023 | 31.98 Mn |
| Sep 30, 2023 | 34.26 Mn |
| Jun 30, 2023 | 39.32 Mn |
| Mar 31, 2023 | 26.22 Mn |
| Dec 31, 2022 | 74.04 Mn |
| Sep 30, 2022 | 154.24 Mn |
| Jun 30, 2022 | 153.97 Mn |
| Mar 31, 2022 | 209.85 Mn |
| Dec 31, 2021 | 106.14 Mn |
| Sep 30, 2021 | 196.49 Mn |
API Access
W&T Offshore 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=WTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=WTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();