Public Service Enterprise (PEG) Shares Outstanding (Diluted) (2009 - 2026)
Public Service Enterprise (PEG) reported Shares Outstanding (Diluted) of 499 million for Q2 2026, down 0.2% from 500 million a year earlier and down 0.2% from the prior quarter.
Public Service Enterprise (PEG) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Public Service Enterprise posted Shares Outstanding (Diluted) of 501 million, up 0.2% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 500 million in FY2024 (unchanged), 500 million in FY2023 (-0.2%), 501 million in FY2022 (-0.6%) and 504 million in FY2021 (-0.6%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) in data going back to Q1 2009.
- Year over year, Shares Outstanding (Diluted) gained in two of the last eight quarters, with an average year-over-year change of 0.0%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q4 2025 (growth of 0.2%); the low point was Q1 2022 (a decline of 1.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 500 million (Q1 2026), 501 million (Q4 2025) and 501 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 162.78 Bn | 152.72 Bn | - | 2.09 Bn |
| 2 | Southern | 100.19 Bn | 91.25 Bn | 5.92 Bn | 1.14 Bn |
| 3 | Duke Energy | 91.91 Bn | 88.50 Bn | 6.74 Bn | 779.00 Mn |
| 4 | National Grid | 77.40 Bn | 49.69 Bn | - | 994.20 Mn |
| 5 | American Electric Power | 68.36 Bn | 65.53 Bn | 3.84 Bn | 550.63 Mn |
| 6 | Dominion Energy | 54.82 Bn | 52.81 Bn | - | 882.10 Mn |
| 7 | Sempra | 53.87 Bn | 52.99 Bn | 2.89 Bn | 655.95 Mn |
| 8 | Entergy | 48.18 Bn | 37.31 Bn | - | 466.31 Mn |
| 9 | Xcel Energy | 46.63 Bn | 41.53 Bn | - | 627.00 Mn |
| 10 | Public Service Enterprise | 35.07 Bn | 34.01 Bn | 1.86 Bn | 499.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 499.00 Mn |
| Mar 31, 2026 | 500.00 Mn |
| Dec 31, 2025 | 501.00 Mn |
| Sep 30, 2025 | 501.00 Mn |
| Jun 30, 2025 | 500.00 Mn |
| Mar 31, 2025 | 500.00 Mn |
| Dec 31, 2024 | 500.00 Mn |
| Sep 30, 2024 | 500.00 Mn |
| Jun 30, 2024 | 500.00 Mn |
| Mar 31, 2024 | 500.00 Mn |
| Dec 31, 2023 | 500.00 Mn |
| Sep 30, 2023 | 500.00 Mn |
| Jun 30, 2023 | 500.00 Mn |
| Mar 31, 2023 | 500.00 Mn |
| Dec 31, 2022 | 501.00 Mn |
| Sep 30, 2022 | 500.00 Mn |
| Jun 30, 2022 | 500.00 Mn |
| Mar 31, 2022 | 501.00 Mn |
| Dec 31, 2021 | 504.00 Mn |
| Sep 30, 2021 | 504.00 Mn |
Public Service Enterprise Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=PEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PEG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=PEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();