W&T Offshore (WTI) Enterprise Value (2009 - 2026)
W&T Offshore (WTI) posted Enterprise Value of $361.66 million for Q3 2026, up 147.7% from $145.98 million a year earlier and up 11.4% from the prior quarter.
W&T Offshore (WTI) Enterprise Value (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Enterprise Value at W&T Offshore was -$60.5 million; for FY2025, it came in at $101.95 million, down 25.1% from FY2024.
- Annual Enterprise Value has declined for three consecutive years, with a five-year compound annual growth rate of -17.4% (FY2020 to FY2025).
- In prior years, W&T Offshore's Enterprise Value was $136.07 million in FY2024 (-55.3%), $304.52 million in FY2023 (-14.0%), $354.07 million in FY2022 (+64.2%) and $215.65 million in FY2021 (-18.6%).
- Quarterly Enterprise Value has run from a low of $101.95 million in Q4 2025 to a high of $570.68 million in Q1 2023 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last three quarters, with growth averaging 39.8% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q1 2026, with growth of 206.2%; the weakest was Q3 2024, with a decline of 61.4%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $324.79 million (Q2 2026), $376.41 million (Q1 2026) and $101.95 million (Q4 2025).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 361.66 Mn |
| Jun 30, 2026 | 324.79 Mn |
| Mar 31, 2026 | 376.41 Mn |
| Dec 31, 2025 | 101.95 Mn |
| Sep 30, 2025 | 145.98 Mn |
| Jun 30, 2025 | 124.04 Mn |
| Mar 31, 2025 | 122.93 Mn |
| Dec 31, 2024 | 136.07 Mn |
| Sep 30, 2024 | 190.27 Mn |
| Jun 30, 2024 | 191.55 Mn |
| Mar 31, 2024 | 294.35 Mn |
| Dec 31, 2023 | 304.52 Mn |
| Sep 30, 2023 | 493.00 Mn |
| Jun 30, 2023 | 395.25 Mn |
| Mar 31, 2023 | 570.68 Mn |
| Dec 31, 2022 | 354.07 Mn |
| Sep 30, 2022 | 391.80 Mn |
| Jun 30, 2022 | 240.70 Mn |
| Mar 31, 2022 | 330.83 Mn |
| Dec 31, 2021 | 215.65 Mn |
W&T Offshore Enterprise Value 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=enterprise-value&ticker=WTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=WTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();