Connecticut Light & Power (CNTHP) Operating Expenses (2009 - 2026)
Connecticut Light & Power (CNTHP) posted Operating Expenses of $3.43 billion for Q1 2026, up 7.4% from $3.19 billion a year earlier and up 28.9% from the prior quarter.
Powered by 
Analysis
Connecticut Light & Power (CNTHP) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Operating Expenses at Connecticut Light & Power was $10.79 billion, up 5.9% year-over-year; for FY2025, it was $10.56 billion, up 11.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- In prior years, Connecticut Light & Power's Operating Expenses was $9.49 billion in FY2024 (-0.2%), $9.51 billion in FY2023 (-5.7%), $10.09 billion in FY2022 (+28.2%) and $7.87 billion in FY2021 (+13.8%).
- The Q1 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2009.
- On a year-over-year basis, Operating Expenses has increased in each of the last seven quarters, with growth averaging 9.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 36.4%; the weakest was Q1 2024, with a decline of 18.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $2.66 billion (Q4 2025), $2.53 billion (Q3 2025) and $2.18 billion (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | -140.00 Mn |
| 2 | National Grid | 78.23 Bn | 59.76 Bn | - | - |
| 3 | Dominion Energy | 53.03 Bn | 55.71 Bn | - | 4.15 Bn |
| 4 | Xcel Energy | 43.33 Bn | 38.23 Bn | - | 2.41 Bn |
| 5 | Wec Energy | 33.06 Bn | 33.29 Bn | 1.51 Bn | 1.63 Bn |
| 6 | Ameren | 27.51 Bn | 27.60 Bn | - | 1.63 Bn |
| 7 | Fortis | 26.94 Bn | 27.43 Bn | 1.60 Bn | 626.05 Mn |
| 8 | Atmos Energy | 26.53 Bn | 25.30 Bn | 870.85 Mn | - |
| 9 | American Water Works Company | 25.62 Bn | 25.03 Bn | - | 813.00 Mn |
| 10 | Connecticut Light & Power | 19.55 Bn | 19.71 Bn | - | 3.43 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.43 Bn |
| Dec 31, 2025 | 2.66 Bn |
| Sep 30, 2025 | 2.53 Bn |
| Jun 30, 2025 | 2.18 Bn |
| Mar 31, 2025 | 3.19 Bn |
| Dec 31, 2024 | 2.62 Bn |
| Sep 30, 2024 | 2.45 Bn |
| Jun 30, 2024 | 1.93 Bn |
| Mar 31, 2024 | 2.49 Bn |
| Dec 31, 2023 | 2.14 Bn |
| Sep 30, 2023 | 2.26 Bn |
| Jun 30, 2023 | 2.07 Bn |
| Mar 31, 2023 | 3.05 Bn |
| Dec 31, 2022 | 2.51 Bn |
| Sep 30, 2022 | 2.66 Bn |
| Jun 30, 2022 | 2.12 Bn |
| Mar 31, 2022 | 2.81 Bn |
| Dec 31, 2021 | 2.01 Bn |
| Sep 30, 2021 | 1.95 Bn |
| Jun 30, 2021 | 1.67 Bn |
API Access
Connecticut Light & Power Operating Expenses 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=operating-expenses&ticker=CNTHP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CNTHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();