Talos Energy (TALO) Non Operating Interest Expenses (2017 - 2026)
Talos Energy (TALO) posted Non Operating Interest Expenses of $39.16 million for Q2 2026, down 4.0% from $40.81 million a year earlier and unchanged from the prior quarter.
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Analysis
Talos Energy (TALO) Non Operating Interest Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Talos Energy was $160 million, down 5.6% year-over-year; for FY2024, it was $187.64 million, up 8.4% from FY2023.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 13.9% (FY2019 to FY2024).
- In prior years, Talos Energy's Non Operating Interest Expenses was $173.15 million in FY2023 (+38.0%), $125.5 million in FY2022 (-5.7%), $133.14 million in FY2021 (+33.9%) and $99.42 million in FY2020 (+1.6%).
- The Q2 2026 figure stands as the lowest quarterly Non Operating Interest Expenses since Q1 2023.
- On a year-over-year basis, Non Operating Interest Expenses increased in 1 of the last seven quarters, with an average decline of 8.7%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q3 2023, with growth of 55.9%; the weakest was Q1 2025, with a decline of 19.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 673.87 Bn | 637.09 Bn | - | 227.00 Mn |
| 2 | Shell | 543.95 Bn | 454.50 Bn | 30.13 Bn | 1.11 Bn |
| 3 | Chevron | 409.32 Bn | 387.11 Bn | 33.45 Bn | 352.00 Mn |
| 4 | TotalEnergies SE | 186.50 Bn | 69.63 Bn | - | -572.00 Mn |
| 5 | Eni Spa | 171.15 Bn | 120.67 Bn | - | -2.40 Bn |
| 6 | Conocophillips | 152.65 Bn | 125.36 Bn | 12.81 Bn | 182.00 Mn |
| 7 | Equinor Asa | 105.44 Bn | 51.50 Bn | - | - |
| 8 | Phillips 66 | 105.42 Bn | 94.41 Bn | 8.38 Bn | 314.00 Mn |
| 9 | Canadian Natural Resources | 99.52 Bn | 96.47 Bn | - | 172.06 Mn |
| 10 | Talos Energy | 2.78 Bn | 1.12 Bn | - | 39.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.16 Mn |
| Mar 31, 2026 | 39.18 Mn |
| Sep 30, 2025 | 40.85 Mn |
| Jun 30, 2025 | 40.81 Mn |
| Mar 31, 2025 | 40.93 Mn |
| Dec 31, 2024 | 41.54 Mn |
| Sep 30, 2024 | 46.28 Mn |
| Jun 30, 2024 | 48.98 Mn |
| Mar 31, 2024 | 50.85 Mn |
| Dec 31, 2023 | 44.30 Mn |
| Sep 30, 2023 | 45.64 Mn |
| Jun 30, 2023 | 45.63 Mn |
| Mar 31, 2023 | 37.58 Mn |
| Dec 31, 2022 | 33.97 Mn |
| Sep 30, 2022 | 29.27 Mn |
| Jun 30, 2022 | 30.78 Mn |
| Mar 31, 2022 | 31.49 Mn |
| Dec 31, 2021 | 33.10 Mn |
| Sep 30, 2021 | 32.39 Mn |
| Jun 30, 2021 | 33.57 Mn |
API Access
Talos Energy Non Operating 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=non-operating-interest-expenses&ticker=TALO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "TALO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=TALO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();