Entergy Corp /De/ (ETR) Depreciation and Amortization (2009 - 2026)
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Analysis
Entergy Corp /De/ (ETR) Depreciation and Amortization (2009 - 2026) Analysis & Trends
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 548.18 Mn |
| Mar 31, 2026 | 540.13 Mn |
| Dec 31, 2025 | 516.78 Mn |
| Sep 30, 2025 | 525.39 Mn |
| Jun 30, 2025 | 522.58 Mn |
| Mar 31, 2025 | 512.94 Mn |
| Dec 31, 2024 | 509.66 Mn |
| Sep 30, 2024 | 498.48 Mn |
| Jun 30, 2024 | 505.36 Mn |
| Mar 31, 2024 | 499.66 Mn |
| Dec 31, 2023 | 482.28 Mn |
| Sep 30, 2023 | 439.87 Mn |
| Jun 30, 2023 | 468.94 Mn |
| Mar 31, 2023 | 453.92 Mn |
| Dec 31, 2022 | 424.00 Mn |
| Sep 30, 2022 | 453.29 Mn |
| Jun 30, 2022 | 444.76 Mn |
| Mar 31, 2022 | 438.97 Mn |
| Dec 31, 2021 | 426.48 Mn |
| Sep 30, 2021 | 421.75 Mn |
API Access
Entergy Corp /De/ Depreciation and Amortization 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=depreciation-and-amortization&ticker=ETR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization", "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=depreciation-and-amortization&ticker=ETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();