W&T Offshore (WTI) Other Accumulated Expenses (2009 - 2026)
W&T Offshore (WTI) reported Other Accumulated Expenses of $66.94 million for Q3 2026, up 22.6% from $54.58 million a year earlier and up 5.8% from the prior quarter.
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Analysis
W&T Offshore (WTI) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, W&T Offshore posted Other Accumulated Expenses of $59.07 million, up 11.2% from FY2024.
- Other Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 25.2% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $53.13 million in FY2024 (+26.1%), $42.13 million in FY2023 (+0.5%), $41.93 million in FY2022 (+15.7%) and $36.24 million in FY2021 (+89.1%).
- The Q3 2026 figure ranks as the highest quarterly Other Accumulated Expenses in data going back to Q4 2012.
- Year over year, Other Accumulated Expenses has now increased in each of the last five quarters, with growth averaging 9.9% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was Q2 2024 (growth of 102.5%); the low point was Q3 2023 (a decline of 41.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $63.27 million (Q2 2026), $61.59 million (Q1 2026) and $59.07 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 | 66.94 Mn |
| Jun 30, 2026 | 63.27 Mn |
| Mar 31, 2026 | 61.59 Mn |
| Dec 31, 2025 | 59.07 Mn |
| Sep 30, 2025 | 54.58 Mn |
| Jun 30, 2025 | 53.53 Mn |
| Mar 31, 2025 | 58.65 Mn |
| Dec 31, 2024 | 53.13 Mn |
| Sep 30, 2024 | 54.46 Mn |
| Jun 30, 2024 | 63.15 Mn |
| Mar 31, 2024 | 52.84 Mn |
| Dec 31, 2023 | 42.13 Mn |
| Sep 30, 2023 | 34.65 Mn |
| Jun 30, 2023 | 31.18 Mn |
| Mar 31, 2023 | 31.68 Mn |
| Dec 31, 2022 | 41.93 Mn |
| Sep 30, 2022 | 59.52 Mn |
| Jun 30, 2022 | 51.22 Mn |
| Mar 31, 2022 | 33.58 Mn |
| Dec 31, 2021 | 36.24 Mn |
API Access
W&T Offshore Other 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=other-accumulated-expenses&ticker=WTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=WTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();