W&T Offshore (WTI) Interest Expenses (2010 - 2023)
W&T Offshore (WTI) posted Interest Expenses of $9.73 million for Q4 2023, down 33.0% from $14.53 million a year earlier and down 2.0% from the prior quarter.
W&T Offshore (WTI) Interest Expenses (2010 - 2023) Analysis & Trends
For FY2023, W&T Offshore's Interest Expenses came in at $44.69 million, down 35.6% from FY2022.
- Annual Interest Expenses shows a five-year compound annual growth rate of -1.7% (FY2018 to FY2023).
- In prior years, W&T Offshore's Interest Expenses was $69.44 million in FY2022 (-0.9%), $70.05 million in FY2021 (+14.0%), $61.46 million in FY2020 (+3.2%) and $59.57 million in FY2019 (+22.5%).
- The Q4 2023 figure stands as the lowest quarterly Interest Expenses in data going back to Q2 2010.
- On a year-over-year basis, Interest Expenses has declined in each of the last six quarters, with an average decline of 17.2% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q1 2019, with growth of 48.5%; the weakest was Q2 2023, with a decline of 43.2%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $9.93 million (Q3 2023), $10.32 million (Q2 2023) and $14.71 million (Q1 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 540.77 Bn | 451.32 Bn | 30.13 Bn | 799.00 Mn |
| 2 | Chevron | 403.83 Bn | 381.62 Bn | 33.45 Bn | 352.00 Mn |
| 3 | TotalEnergies SE | 188.75 Bn | 71.88 Bn | - | -1.39 Bn |
| 4 | Eni Spa | 170.81 Bn | 120.33 Bn | - | 412.64 Mn |
| 5 | Conocophillips | 150.42 Bn | 123.13 Bn | 12.81 Bn | 182.00 Mn |
| 6 | Equinor Asa | 104.06 Bn | 50.12 Bn | - | - |
| 7 | Phillips 66 | 101.90 Bn | 90.89 Bn | 8.38 Bn | 314.00 Mn |
| 8 | Canadian Natural Resources | 97.96 Bn | 94.91 Bn | - | 172.06 Mn |
| 9 | Suncor Energy | 80.99 Bn | 66.79 Bn | - | - |
| 10 | W&T Offshore | 538.87 Mn | -8.09 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 9.73 Mn |
| Sep 30, 2023 | 9.93 Mn |
| Jun 30, 2023 | 10.32 Mn |
| Mar 31, 2023 | 14.71 Mn |
| Dec 31, 2022 | 14.53 Mn |
| Sep 30, 2022 | 16.85 Mn |
| Jun 30, 2022 | 18.18 Mn |
| Mar 31, 2022 | 19.88 Mn |
| Dec 31, 2021 | 19.58 Mn |
| Sep 30, 2021 | 18.91 Mn |
| Jun 30, 2021 | 16.53 Mn |
| Mar 31, 2021 | 15.03 Mn |
| Dec 31, 2020 | 15.40 Mn |
| Sep 30, 2020 | 14.14 Mn |
| Jun 30, 2020 | 14.82 Mn |
| Mar 31, 2020 | 17.11 Mn |
| Dec 31, 2019 | 16.64 Mn |
| Sep 30, 2019 | 14.45 Mn |
| Jun 30, 2019 | 12.21 Mn |
| Mar 31, 2019 | 16.28 Mn |
W&T Offshore Interest 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=interest-expenses&ticker=WTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=WTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();