Connecticut Light & Power (CNTHP) EBITDA (2009 - 2026)
Connecticut Light & Power (CNTHP) posted EBITDA of $1.5 billion for Q1 2026, up 14.6% from $1.31 billion a year earlier and up 33.8% from the prior quarter.
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Analysis
Connecticut Light & Power (CNTHP) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, EBITDA at Connecticut Light & Power was $4.75 billion, up 19.8% year-over-year; for FY2025, it was $4.6 billion, up 18.4% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 7.9% (FY2020 to FY2025).
- In prior years, Connecticut Light & Power's EBITDA was $3.89 billion in FY2024 (+3.7%), $3.75 billion in FY2023 (-2.4%), $3.84 billion in FY2022 (+15.4%) and $3.33 billion in FY2021 (+5.7%).
- The Q1 2026 figure stands as the highest quarterly EBITDA in data going back to Q2 2009.
- On a year-over-year basis, EBITDA has increased in each of the last five quarters, with growth averaging 12.8% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2025, with growth of 55.2%; the weakest was Q4 2024, with a decline of 20.1%.
- According to Business Quant data, EBITDA for the three prior quarters was $1.12 billion (Q4 2025), $1.08 billion (Q3 2025) and $1.05 billion (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | 487.00 Mn |
| 2 | National Grid | 78.23 Bn | 59.76 Bn | - | - |
| 3 | Dominion Energy | 53.03 Bn | 55.71 Bn | - | 1.02 Bn |
| 4 | Xcel Energy | 43.33 Bn | 38.23 Bn | - | 1.36 Bn |
| 5 | Wec Energy | 33.06 Bn | 33.29 Bn | 1.51 Bn | 817.70 Mn |
| 6 | Ameren | 27.51 Bn | 27.60 Bn | - | 883.00 Mn |
| 7 | Fortis | 26.94 Bn | 27.43 Bn | 1.60 Bn | 973.06 Mn |
| 8 | Atmos Energy | 26.53 Bn | 25.30 Bn | 870.85 Mn | 521.94 Mn |
| 9 | American Water Works Company | 25.62 Bn | 25.03 Bn | - | 782.00 Mn |
| 10 | Connecticut Light & Power | 19.55 Bn | 19.71 Bn | - | 1.50 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.50 Bn |
| Dec 31, 2025 | 1.12 Bn |
| Sep 30, 2025 | 1.08 Bn |
| Jun 30, 2025 | 1.05 Bn |
| Mar 31, 2025 | 1.31 Bn |
| Dec 31, 2024 | 720.66 Mn |
| Sep 30, 2024 | 978.55 Mn |
| Jun 30, 2024 | 957.09 Mn |
| Mar 31, 2024 | 1.19 Bn |
| Dec 31, 2023 | 901.90 Mn |
| Sep 30, 2023 | 860.13 Mn |
| Jun 30, 2023 | 880.70 Mn |
| Mar 31, 2023 | 986.50 Mn |
| Dec 31, 2022 | 861.07 Mn |
| Sep 30, 2022 | 970.73 Mn |
| Jun 30, 2022 | 820.25 Mn |
| Mar 31, 2022 | 1.19 Bn |
| Dec 31, 2021 | 826.73 Mn |
| Sep 30, 2021 | 805.41 Mn |
| Jun 30, 2021 | 731.86 Mn |
API Access
Connecticut Light & Power EBITDA 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=ebitda&ticker=CNTHP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CNTHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();