Connecticut Light & Power (CNTHP) EBIT (2009 - 2026)
Connecticut Light & Power (CNTHP) recorded EBIT of $1.08 billion in Q1 2026, up 16.2% from $926.4 million a year earlier and up 51.5% from the prior quarter.
Connecticut Light & Power (CNTHP) EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Connecticut Light & Power's EBIT came in at $3.14 billion as of Mar 31, 2026, up 26.1% year-over-year; for FY2025, it came in at $2.99 billion, up 24.1% from FY2024.
- Annual EBIT has increased for six straight years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $2.41 billion in FY2024 (+0.4%), $2.4 billion in FY2023 (+9.1%), $2.2 billion in FY2022 (+10.3%) and $1.99 billion in FY2021 (+0.2%).
- The Q1 2026 figure is the highest quarterly EBIT in data going back to Q2 2009.
- On a year-over-year basis, EBIT has increased for five consecutive quarters, with growth averaging 17.2% over the last eight quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 104.3% in Q4 2025, against a decline of 37.7% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $710.48 million (Q4 2025), $688.7 million (Q3 2025) and $663.05 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | 685.00 Mn |
| 2 | National Grid | 78.23 Bn | 59.76 Bn | - | - |
| 3 | Dominion Energy | 53.03 Bn | 55.71 Bn | - | 329.00 Mn |
| 4 | Xcel Energy | 43.33 Bn | 38.23 Bn | - | 706.00 Mn |
| 5 | Wec Energy | 33.06 Bn | 33.29 Bn | 1.51 Bn | 432.80 Mn |
| 6 | Ameren | 27.51 Bn | 27.60 Bn | - | 459.00 Mn |
| 7 | Fortis | 26.94 Bn | 27.43 Bn | 1.60 Bn | 581.23 Mn |
| 8 | Atmos Energy | 26.53 Bn | 25.30 Bn | 870.85 Mn | 320.41 Mn |
| 9 | American Water Works Company | 25.62 Bn | 25.03 Bn | - | 542.00 Mn |
| 10 | Connecticut Light & Power | 19.55 Bn | 19.71 Bn | - | 1.08 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.08 Bn |
| Dec 31, 2025 | 710.48 Mn |
| Sep 30, 2025 | 688.70 Mn |
| Jun 30, 2025 | 663.05 Mn |
| Mar 31, 2025 | 926.40 Mn |
| Dec 31, 2024 | 347.81 Mn |
| Sep 30, 2024 | 612.40 Mn |
| Jun 30, 2024 | 602.50 Mn |
| Mar 31, 2024 | 846.00 Mn |
| Dec 31, 2023 | 558.54 Mn |
| Sep 30, 2023 | 530.60 Mn |
| Jun 30, 2023 | 560.70 Mn |
| Mar 31, 2023 | 749.60 Mn |
| Dec 31, 2022 | 522.28 Mn |
| Sep 30, 2022 | 557.30 Mn |
| Jun 30, 2022 | 455.60 Mn |
| Mar 31, 2022 | 663.10 Mn |
| Dec 31, 2021 | 472.82 Mn |
| Sep 30, 2021 | 483.33 Mn |
| Jun 30, 2021 | 451.61 Mn |
Connecticut Light & Power EBIT 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=ebit&ticker=CNTHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CNTHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();