Connecticut Light & Power (CNTHP) EBT (2009 - 2026)
Connecticut Light & Power (CNTHP) posted EBT of $710.85 million for Q1 2026, up 13.6% from $625.55 million a year earlier and up 87.4% from the prior quarter.
Connecticut Light & Power (CNTHP) EBT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, EBT at Connecticut Light & Power was $1.83 billion, up 37.9% year-over-year; for FY2025, it was $1.75 billion, up 34.5% from FY2024.
- Annual EBT shows a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- In prior years, Connecticut Light & Power's EBT was $1.3 billion in FY2024 (-16.0%), $1.54 billion in FY2023 (+1.6%), $1.52 billion in FY2022 (+7.7%) and $1.41 billion in FY2021 (-2.7%).
- The Q1 2026 figure stands as the highest quarterly EBT in data going back to Q2 2009.
- On a year-over-year basis, EBT has increased in each of the last five quarters, with growth averaging 63.0% over the last eight quarters.
- The strongest year-over-year quarter for EBT in the past five years was Q4 2025, with growth of 541.6%; the weakest was Q4 2024, with a decline of 81.9%.
- According to Business Quant data, EBT for the three prior quarters was $379.28 million (Q4 2025), $370.6 million (Q3 2025) and $369.85 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | 391.00 Mn |
| 2 | National Grid | 78.23 Bn | 59.76 Bn | - | - |
| 3 | Dominion Energy | 53.03 Bn | 55.71 Bn | - | 740.00 Mn |
| 4 | Xcel Energy | 43.33 Bn | 38.23 Bn | - | 526.00 Mn |
| 5 | Wec Energy | 33.06 Bn | 33.29 Bn | 1.51 Bn | 328.00 Mn |
| 6 | Ameren | 27.51 Bn | 27.60 Bn | - | 368.00 Mn |
| 7 | Fortis | 26.94 Bn | 27.43 Bn | 1.60 Bn | 387.49 Mn |
| 8 | Atmos Energy | 26.53 Bn | 25.30 Bn | 870.85 Mn | 303.28 Mn |
| 9 | American Water Works Company | 25.62 Bn | 25.03 Bn | - | 405.00 Mn |
| 10 | Connecticut Light & Power | 19.55 Bn | 19.71 Bn | - | 710.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 710.85 Mn |
| Dec 31, 2025 | 379.28 Mn |
| Sep 30, 2025 | 370.60 Mn |
| Jun 30, 2025 | 369.85 Mn |
| Mar 31, 2025 | 625.55 Mn |
| Dec 31, 2024 | 59.11 Mn |
| Sep 30, 2024 | 311.80 Mn |
| Jun 30, 2024 | 331.18 Mn |
| Mar 31, 2024 | 595.25 Mn |
| Dec 31, 2023 | 327.23 Mn |
| Sep 30, 2023 | 308.30 Mn |
| Jun 30, 2023 | 353.39 Mn |
| Mar 31, 2023 | 555.06 Mn |
| Dec 31, 2022 | 335.49 Mn |
| Sep 30, 2022 | 379.10 Mn |
| Jun 30, 2022 | 295.50 Mn |
| Mar 31, 2022 | 509.86 Mn |
| Dec 31, 2021 | 321.68 Mn |
| Sep 30, 2021 | 335.33 Mn |
| Jun 30, 2021 | 306.17 Mn |
Connecticut Light & Power EBT 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=ebt&ticker=CNTHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=CNTHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();