Connecticut Light & Power (CNTHP) Capital Expenditures (2009 - 2026)
Connecticut Light & Power (CNTHP) recorded Capital Expenditures of $1.01 billion in Q1 2026, up 0.2% from $1.01 billion a year earlier and up 2.6% from the prior quarter.
Connecticut Light & Power (CNTHP) Capital Expenditures (2009 - 2026) Analysis & Trends
On a TTM basis, Connecticut Light & Power's Capital Expenditures came in at $4.16 billion as of Mar 31, 2026, down 4.1% year-over-year; for FY2025, it came in at $4.16 billion, down 7.2% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $4.48 billion in FY2024 (+3.3%), $4.34 billion in FY2023 (+26.0%), $3.44 billion in FY2022 (+8.4%) and $3.18 billion in FY2021 (+7.9%).
- Quarterly Capital Expenditures has ranged from $734.22 million in Q2 2021 to $1.21 billion in Q4 2023 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in three of the last eight quarters, with an average decline of 3.7%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 35.4% in Q2 2023, against a decline of 17.3% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $983.31 million (Q4 2025), $1.13 billion (Q3 2025) and $1.04 billion (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn | - |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - | - |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - | 2.78 Bn |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - | 2.95 Bn |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn | 1.26 Bn |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - | 1.08 Bn |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn | -1.16 Bn |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn | 1.04 Bn |
| 9 | American Water Works Company | 25.73 Bn | 25.14 Bn | - | 860.00 Mn |
| 10 | Connecticut Light & Power | 19.55 Bn | 19.71 Bn | - | 1.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.01 Bn |
| Dec 31, 2025 | 983.31 Mn |
| Sep 30, 2025 | 1.13 Bn |
| Jun 30, 2025 | 1.04 Bn |
| Mar 31, 2025 | 1.01 Bn |
| Dec 31, 2024 | 1.19 Bn |
| Sep 30, 2024 | 1.07 Bn |
| Jun 30, 2024 | 1.07 Bn |
| Mar 31, 2024 | 1.15 Bn |
| Dec 31, 2023 | 1.21 Bn |
| Sep 30, 2023 | 1.09 Bn |
| Jun 30, 2023 | 1.06 Bn |
| Mar 31, 2023 | 977.14 Mn |
| Dec 31, 2022 | 1.09 Bn |
| Sep 30, 2022 | 803.64 Mn |
| Jun 30, 2022 | 784.50 Mn |
| Mar 31, 2022 | 764.60 Mn |
| Dec 31, 2021 | 963.94 Mn |
| Sep 30, 2021 | 787.91 Mn |
| Jun 30, 2021 | 734.22 Mn |
Connecticut Light & Power Capital Expenditures 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=capital-expenditures&ticker=CNTHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=CNTHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();