Entergy Corp /De/ (ETR) Weighted Average Shares Outstanding (2009 - 2026)
Analysis
Entergy Corp /De/ (ETR) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 458.75 Mn |
| Mar 31, 2026 | 455.72 Mn |
| Dec 31, 2025 | 442.03 Mn |
| Sep 30, 2025 | 446.53 Mn |
| Jun 30, 2025 | 439.20 Mn |
| Mar 31, 2025 | 430.35 Mn |
| Dec 31, 2024 | 427.71 Mn |
| Sep 30, 2024 | 428.02 Mn |
| Jun 30, 2024 | 427.23 Mn |
| Mar 31, 2024 | 426.29 Mn |
| Dec 31, 2023 | 423.20 Mn |
| Sep 30, 2023 | 423.00 Mn |
| Jun 30, 2023 | 422.90 Mn |
| Mar 31, 2023 | 422.80 Mn |
| Dec 31, 2022 | 409.00 Mn |
| Sep 30, 2022 | 406.89 Mn |
| Jun 30, 2022 | 406.80 Mn |
| Mar 31, 2022 | 405.89 Mn |
| Dec 31, 2021 | 401.88 Mn |
| Sep 30, 2021 | 402.00 Mn |
API Access
Entergy Corp /De/ Weighted Average Shares Outstanding 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=weighted-average-shares-outstanding&ticker=ETR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "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=weighted-average-shares-outstanding&ticker=ETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();