Enel Chile (ENIC) Weighted Average Shares Outstanding (2015 - 2026)
Enel Chile's Weighted Average Shares Outstanding came in at 1.38 billion for Q1 2027, unchanged from the prior quarter.
Analysis
Enel Chile (ENIC) Weighted Average Shares Outstanding (2015 - 2026) Analysis & Trends
Going back to Q4 2017, Enel Chile's Weighted Average Shares Outstanding data covers 8 quarters.
- Weighted Average Shares Outstanding carries a five-year compound annual growth rate of 0.0% (FY2021 to FY2026).
- Going back by year, Weighted Average Shares Outstanding was 1.38 billion in FY2025 (unchanged), 1.38 billion in FY2024 (unchanged), 1.38 billion in FY2023 (unchanged) and 1.38 billion in FY2022 (unchanged).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Wisconsin Electric Power | 99,216.00 Bn | 99,215.99 Bn | 911.30 Mn |
| 2 | Enel Chile | 301.57 Bn | 301.57 Bn | 1.33 Bn |
| 3 | Nextera Energy | 180.93 Bn | 179.04 Bn | - |
| 4 | Southern | 109.04 Bn | 101.70 Bn | 7.31 Bn |
| 5 | Duke Energy | 100.59 Bn | 99.24 Bn | 6.37 Bn |
| 6 | National Grid | 86.94 Bn | 59.27 Bn | - |
| 7 | American Electric Power | 69.61 Bn | 68.67 Bn | 4.75 Bn |
| 8 | Entergy | 53.37 Bn | 42.94 Bn | - |
| 9 | Sempra | 51.29 Bn | 84.11 Bn | - |
| 10 | Xcel Energy | 50.89 Bn | 44.36 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 69.17 Bn |
| Jun 30, 2026 | 69.17 Bn |
| Mar 31, 2026 | 69.17 Bn |
| Dec 31, 2025 | 69.17 Bn |
| Sep 30, 2025 | 69.17 Bn |
| Jun 30, 2025 | 69.17 Bn |
| Mar 31, 2025 | 69.17 Bn |
| Dec 31, 2024 | 69.17 Bn |
| Sep 30, 2024 | 69.17 Bn |
| Jun 30, 2024 | 69.17 Bn |
| Mar 31, 2024 | 69.17 Bn |
| Dec 31, 2023 | 69.17 Bn |
| Sep 30, 2023 | 69.17 Bn |
| Jun 30, 2023 | 69.17 Bn |
| Mar 31, 2023 | 69.17 Bn |
| Dec 31, 2022 | 69.17 Bn |
| Dec 31, 2021 | 69.17 Bn |
| Dec 31, 2020 | 69.17 Bn |
| Dec 31, 2019 | 69.17 Bn |
| Mar 31, 2019 | 63.91 Bn |
API Access
Enel Chile 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=ENIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "ticker": "ENIC", "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=ENIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();