Connecticut Light & Power (CNTHP) Shares Outstanding (2009 - 2026)
Connecticut Light & Power (CNTHP) recorded Shares Outstanding of 376.03 million in Q1 2026, up 2.4% from 367.32 million a year earlier and up 1.4% from the prior quarter.
Connecticut Light & Power (CNTHP) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Connecticut Light & Power reported Shares Outstanding of 370.85 million, up 3.7% from FY2024.
- Annual Shares Outstanding has increased for seven straight years, with a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding came in at 357.48 million in FY2024 (+2.3%), 349.58 million in FY2023 (+0.8%), 346.78 million in FY2022 (+0.8%) and 343.97 million in FY2021 (+1.5%).
- The Q1 2026 figure is the highest quarterly Shares Outstanding in data going back to Q2 2009.
- On a year-over-year basis, Shares Outstanding has increased for 29 consecutive quarters, with growth averaging 3.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 0.3% (Q3 2021) to 4.7% (Q1 2025).
- Per Business Quant, the preceding three quarters came in at 370.85 million (Q4 2025), 371.91 million (Q3 2025) and 368.66 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (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 | - | 989.20 Mn |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - | 879.50 Mn |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - | 625.00 Mn |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn | 325.80 Mn |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - | 276.80 Mn |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn | 503.50 Mn |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn | 168.35 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 | - | 376.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 376.03 Mn |
| Dec 31, 2025 | 370.85 Mn |
| Sep 30, 2025 | 371.91 Mn |
| Jun 30, 2025 | 368.66 Mn |
| Mar 31, 2025 | 367.32 Mn |
| Dec 31, 2024 | 357.48 Mn |
| Sep 30, 2024 | 359.52 Mn |
| Jun 30, 2024 | 353.21 Mn |
| Mar 31, 2024 | 350.72 Mn |
| Dec 31, 2023 | 349.58 Mn |
| Sep 30, 2023 | 349.70 Mn |
| Jun 30, 2023 | 349.46 Mn |
| Mar 31, 2023 | 349.22 Mn |
| Dec 31, 2022 | 346.78 Mn |
| Sep 30, 2022 | 347.30 Mn |
| Jun 30, 2022 | 345.89 Mn |
| Mar 31, 2022 | 345.16 Mn |
| Dec 31, 2021 | 343.97 Mn |
| Sep 30, 2021 | 344.02 Mn |
| Jun 30, 2021 | 343.84 Mn |
Connecticut Light & Power 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=shares-outstanding&ticker=CNTHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=CNTHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();