Entergy Corp /De/ (ETR) Accumulated Depreciation (2009 - 2026)
Analysis
Entergy Corp /De/ (ETR) Accumulated Depreciation (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.25 Bn |
| Mar 31, 2026 | 29.10 Bn |
| Dec 31, 2025 | 28.75 Bn |
| Sep 30, 2025 | 28.49 Bn |
| Jun 30, 2025 | 28.15 Bn |
| Mar 31, 2025 | 27.79 Bn |
| Dec 31, 2024 | 27.44 Bn |
| Sep 30, 2024 | 27.54 Bn |
| Jun 30, 2024 | 27.17 Bn |
| Mar 31, 2024 | 26.84 Bn |
| Dec 31, 2023 | 26.55 Bn |
| Sep 30, 2023 | 26.27 Bn |
| Jun 30, 2023 | 25.90 Bn |
| Mar 31, 2023 | 25.57 Bn |
| Dec 31, 2022 | 25.29 Bn |
| Sep 30, 2022 | 25.32 Bn |
| Jun 30, 2022 | 25.01 Bn |
| Mar 31, 2022 | 24.98 Bn |
| Dec 31, 2021 | 24.77 Bn |
| Sep 30, 2021 | 24.51 Bn |
API Access
Entergy Corp /De/ Accumulated Depreciation 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=accumulated-depreciation&ticker=ETR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=ETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();