W&T Offshore (WTI) EBITDA (2009 - 2026)
W&T Offshore's EBITDA was $49.49 million in Q3 2026, up 100.1% from $24.74 million a year earlier but down 14.3% from the prior quarter.
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Analysis
W&T Offshore (WTI) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, W&T Offshore's EBITDA was $176.93 million through Sep 30, 2026, up 57.4% year-over-year; for FY2025, it was $100.35 million, down 27.2% from FY2024.
- EBITDA has now declined for three consecutive years, with a five-year compound annual growth rate of -4.7% (FY2020 to FY2025).
- In earlier years, EBITDA was $137.77 million in FY2024 (-23.5%), $180.17 million in FY2023 (-69.7%), $595.26 million in FY2022 (+92.2%) and $309.66 million in FY2021 (+142.1%).
- Quarterly EBITDA has moved between $18.46 million (Q4 2025) and $198.46 million (Q2 2022) over five years.
- Compared with a year earlier, EBITDA has increased for three straight quarters, with growth averaging 21.2% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q4 2021 (growth of 252.3%); the worst was Q2 2023 (a decline of 81.3%).
- Per Business Quant data, WTI's EBITDA in the three quarters before Q3 2026 was $57.78 million (Q2 2026), $51.2 million (Q1 2026) and $18.46 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 28.22 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | 24.40 Bn |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 20.20 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | 30.84 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | 3.94 Bn |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 13.20 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | 15.06 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | 10.23 Bn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | 7.94 Bn |
| 10 | W&T Offshore | 520.45 Mn | -93.03 Mn | 55.31 Mn | 49.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 49.49 Mn |
| Jun 30, 2026 | 57.78 Mn |
| Mar 31, 2026 | 51.20 Mn |
| Dec 31, 2025 | 18.46 Mn |
| Sep 30, 2025 | 24.74 Mn |
| Jun 30, 2025 | 23.01 Mn |
| Mar 31, 2025 | 34.14 Mn |
| Dec 31, 2024 | 30.49 Mn |
| Sep 30, 2024 | 24.20 Mn |
| Jun 30, 2024 | 39.88 Mn |
| Mar 31, 2024 | 43.19 Mn |
| Dec 31, 2023 | 44.09 Mn |
| Sep 30, 2023 | 55.27 Mn |
| Jun 30, 2023 | 37.08 Mn |
| Mar 31, 2023 | 43.73 Mn |
| Dec 31, 2022 | 91.68 Mn |
| Sep 30, 2022 | 173.98 Mn |
| Jun 30, 2022 | 198.46 Mn |
| Mar 31, 2022 | 131.14 Mn |
| Dec 31, 2021 | 100.32 Mn |
API Access
W&T Offshore EBITDA 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=ebitda&ticker=WTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();