W&T Offshore (WTI) EBITDA (2010 - 2026)
W&T Offshore's EBITDA was $56.98 million in Q2 2026, up 155.8% from $22.27 million a year earlier and up 13.0% from the prior quarter.
W&T Offshore (WTI) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, W&T Offshore's EBITDA was $149.07 million through Jun 30, 2026, up 38.3% year-over-year; for FY2025, it was $96.98 million, down 27.2% from FY2024.
- EBITDA has now declined for three consecutive years, with a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- In earlier years, EBITDA was $133.21 million in FY2024 (-23.1%), $173.19 million in FY2023 (-70.5%), $587.71 million in FY2022 (+93.9%) and $303.11 million in FY2021 (+150.3%).
- The Q2 2026 figure marks the highest quarterly EBITDA since Q4 2022.
- Compared with a year earlier, EBITDA was higher in three of the last eight quarters, with growth averaging 2.5%.
- The best year-over-year quarter for EBITDA over five years was Q4 2021 (growth of 263.8%); the worst was Q2 2023 (a decline of 81.7%).
- Per Business Quant data, WTI's EBITDA in the three quarters before Q2 2026 was $50.42 million (Q1 2026), $17.7 million (Q4 2025) and $23.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 743.20 Bn | 699.68 Bn | - | 28.34 Bn |
| 2 | Chevron | 447.03 Bn | 419.15 Bn | 33.45 Bn | -13.84 Bn |
| 3 | Shell | 310.50 Bn | 240.25 Bn | 30.13 Bn | 27.62 Bn |
| 4 | TotalEnergies SE | 198.52 Bn | 79.10 Bn | 61.77 Bn | 18.43 Bn |
| 5 | Conocophillips | 177.09 Bn | 149.80 Bn | 12.81 Bn | 13.36 Bn |
| 6 | Equinor Asa | 119.58 Bn | 34.03 Bn | - | 15.71 Bn |
| 7 | Phillips 66 | 116.56 Bn | 104.35 Bn | 8.38 Bn | -38.11 Bn |
| 8 | Canadian Natural Resources | 113.43 Bn | 110.44 Bn | 8.84 Bn | 10.10 Bn |
| 9 | Suncor Energy | 96.25 Bn | 82.00 Bn | - | 2.37 Bn |
| 10 | W&T Offshore | 595.08 Mn | 48.12 Mn | - | 57.78 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 75.60 Mn |
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_KEY
import 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();