Entergy Corp /De/ (ETR) Interest Expense (2009 - 2026)
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Analysis
Entergy Corp /De/ (ETR) Interest Expense (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 433.11 Mn |
| Mar 31, 2026 | 399.92 Mn |
| Dec 31, 2025 | 374.51 Mn |
| Sep 30, 2025 | 346.99 Mn |
| Jun 30, 2025 | 343.07 Mn |
| Mar 31, 2025 | 348.38 Mn |
| Dec 31, 2024 | 316.08 Mn |
| Sep 30, 2024 | 308.50 Mn |
| Jun 30, 2024 | 301.26 Mn |
| Mar 31, 2024 | 277.74 Mn |
| Dec 31, 2023 | 264.55 Mn |
| Sep 30, 2023 | 264.93 Mn |
| Jun 30, 2023 | 261.35 Mn |
| Mar 31, 2023 | 255.33 Mn |
| Dec 31, 2022 | 245.50 Mn |
| Sep 30, 2022 | 235.32 Mn |
| Jun 30, 2022 | 231.61 Mn |
| Mar 31, 2022 | 227.62 Mn |
| Dec 31, 2021 | 220.87 Mn |
| Sep 30, 2021 | 216.61 Mn |
API Access
Entergy Corp /De/ Interest Expense 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-expense&ticker=ETR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense", "ticker": "ETR", "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-expense&ticker=ETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();