Entergy Corp /De/ (ETR) Income before Taxes (2009 - 2026)
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Analysis
Entergy Corp /De/ (ETR) Income before Taxes (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 619.50 Mn |
| Mar 31, 2026 | 478.60 Mn |
| Dec 31, 2025 | 294.73 Mn |
| Sep 30, 2025 | 903.73 Mn |
| Jun 30, 2025 | 610.35 Mn |
| Mar 31, 2025 | 462.46 Mn |
| Dec 31, 2024 | 398.09 Mn |
| Sep 30, 2024 | 861.23 Mn |
| Jun 30, 2024 | 85.37 Mn |
| Mar 31, 2024 | 97.53 Mn |
| Dec 31, 2023 | 14.93 Mn |
| Sep 30, 2023 | 896.71 Mn |
| Jun 30, 2023 | 526.81 Mn |
| Mar 31, 2023 | 233.32 Mn |
| Dec 31, 2022 | 167.71 Mn |
| Sep 30, 2022 | 739.99 Mn |
| Jun 30, 2022 | -195.63 Mn |
| Mar 31, 2022 | 346.09 Mn |
| Dec 31, 2021 | 230.95 Mn |
| Sep 30, 2021 | 693.87 Mn |
API Access
Entergy Corp /De/ Income before Taxes 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=income-before-taxes&ticker=ETR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-before-taxes", "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=income-before-taxes&ticker=ETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();