Entergy Corp /De/ (ETR) Total Assets (2009 - 2026)
Analysis
Entergy Corp /De/ (ETR) Total Assets (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.00 Bn |
| Mar 31, 2026 | 75.80 Bn |
| Dec 31, 2025 | 71.89 Bn |
| Sep 30, 2025 | 69.85 Bn |
| Jun 30, 2025 | 68.38 Bn |
| Mar 31, 2025 | 66.62 Bn |
| Dec 31, 2024 | 64.79 Bn |
| Sep 30, 2024 | 64.46 Bn |
| Jun 30, 2024 | 62.77 Bn |
| Mar 31, 2024 | 61.63 Bn |
| Dec 31, 2023 | 59.70 Bn |
| Sep 30, 2023 | 60.55 Bn |
| Jun 30, 2023 | 59.72 Bn |
| Mar 31, 2023 | 59.20 Bn |
| Dec 31, 2022 | 58.60 Bn |
| Sep 30, 2022 | 58.98 Bn |
| Jun 30, 2022 | 57.83 Bn |
| Mar 31, 2022 | 59.83 Bn |
| Dec 31, 2021 | 59.45 Bn |
| Sep 30, 2021 | 58.84 Bn |
API Access
Entergy Corp /De/ Total Assets 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=total-assets&ticker=ETR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-assets", "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=total-assets&ticker=ETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();