Connecticut Light & Power (CNTHP) Shares Outstanding (Diluted) (2009 - 2026)
Connecticut Light & Power's Shares Outstanding (Diluted) was 376.58 million in Q1 2026, up 2.4% from 367.68 million a year earlier and up 1.4% from the prior quarter.
Connecticut Light & Power (CNTHP) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Connecticut Light & Power came in at 371.26 million, up 3.8% from FY2024.
- Shares Outstanding (Diluted) has now increased for seven consecutive years, with a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 357.78 million in FY2024 (+2.3%), 349.84 million in FY2023 (+0.7%), 347.25 million in FY2022 (+0.8%) and 344.63 million in FY2021 (+1.4%).
- The Q1 2026 figure marks the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2009.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for 29 straight quarters, with growth averaging 3.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 0.3% in Q3 2021 to 4.8% in Q1 2025.
- Per Business Quant data, CNTHP's Shares Outstanding (Diluted) in the three quarters before Q1 2026 was 371.26 million (Q4 2025), 372.26 million (Q3 2025) and 368.92 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn | 69.17 Bn |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - | 994.20 Mn |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - | 882.10 Mn |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - | 627.00 Mn |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn | 328.90 Mn |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - | 278.70 Mn |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn | 503.70 Mn |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn | 169.37 Mn |
| 9 | American Water Works Company | 25.73 Bn | 25.14 Bn | - | 196.00 Mn |
| 10 | Connecticut Light & Power | 19.55 Bn | 19.71 Bn | - | 376.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 376.58 Mn |
| Dec 31, 2025 | 371.26 Mn |
| Sep 30, 2025 | 372.26 Mn |
| Jun 30, 2025 | 368.92 Mn |
| Mar 31, 2025 | 367.68 Mn |
| Dec 31, 2024 | 357.78 Mn |
| Sep 30, 2024 | 359.82 Mn |
| Jun 30, 2024 | 353.42 Mn |
| Mar 31, 2024 | 351.00 Mn |
| Dec 31, 2023 | 349.84 Mn |
| Sep 30, 2023 | 349.85 Mn |
| Jun 30, 2023 | 349.73 Mn |
| Mar 31, 2023 | 349.61 Mn |
| Dec 31, 2022 | 347.25 Mn |
| Sep 30, 2022 | 347.76 Mn |
| Jun 30, 2022 | 346.30 Mn |
| Mar 31, 2022 | 345.66 Mn |
| Dec 31, 2021 | 344.63 Mn |
| Sep 30, 2021 | 344.67 Mn |
| Jun 30, 2021 | 344.44 Mn |
Connecticut Light & Power 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=CNTHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "CNTHP", "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=CNTHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();