Entergy Corp /De/ (ETR) Change in Accrued Expenses (2009 - 2026)
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Analysis
Entergy Corp /De/ (ETR) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.74 Mn |
| Mar 31, 2026 | 47.25 Mn |
| Dec 31, 2025 | -17.59 Mn |
| Sep 30, 2025 | 20.82 Mn |
| Jun 30, 2025 | 11.27 Mn |
| Mar 31, 2025 | 11.60 Mn |
| Dec 31, 2024 | -13.48 Mn |
| Sep 30, 2024 | 35.28 Mn |
| Jun 30, 2024 | -6.06 Mn |
| Mar 31, 2024 | 29.62 Mn |
| Dec 31, 2023 | -47.64 Mn |
| Sep 30, 2023 | 59.76 Mn |
| Jun 30, 2023 | -23.82 Mn |
| Mar 31, 2023 | 30.63 Mn |
| Dec 31, 2022 | -34.25 Mn |
| Sep 30, 2022 | 50.31 Mn |
| Jun 30, 2022 | -44.81 Mn |
| Mar 31, 2022 | 32.86 Mn |
| Dec 31, 2021 | -39.95 Mn |
| Sep 30, 2021 | 29.48 Mn |
API Access
Entergy Corp /De/ Change in Accrued 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=change-in-accrued-expenses&ticker=ETR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-expenses", "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=change-in-accrued-expenses&ticker=ETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();