Connecticut Light & Power (CNTHP) Retained Earnings (2009 - 2026)
Connecticut Light & Power (CNTHP) posted Retained Earnings of $4.82 billion for Q1 2026, up 14.6% from $4.2 billion a year earlier and up 6.9% from the prior quarter.
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Analysis
Connecticut Light & Power (CNTHP) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Connecticut Light & Power's Retained Earnings came in at $4.5 billion, up 14.7% from FY2024.
- Annual Retained Earnings shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Connecticut Light & Power's Retained Earnings was $3.93 billion in FY2024 (-5.2%), $4.14 billion in FY2023 (-25.1%), $5.53 billion in FY2022 (+10.4%) and $5.01 billion in FY2021 (+8.5%).
- The Q1 2026 figure stands as the highest quarterly Retained Earnings since Q3 2023.
- On a year-over-year basis, Retained Earnings has increased in each of the last three quarters, with an average decline of 3.2% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was Q4 2025, with growth of 14.7%; the weakest was Q3 2024, with a decline of 27.3%.
- According to Business Quant data, Retained Earnings for the three prior quarters was $4.5 billion (Q4 2025), $4.37 billion (Q3 2025) and $4.28 billion (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn | - |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - | 56.50 Bn |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - | 2.08 Bn |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - | 9.61 Bn |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn | 8.98 Bn |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - | 5.55 Bn |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn | 4.01 Bn |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn | 5.59 Bn |
| 9 | American Water Works Company | 25.73 Bn | 25.14 Bn | - | 2.91 Bn |
| 10 | Connecticut Light & Power | 19.55 Bn | 19.71 Bn | - | 4.82 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.82 Bn |
| Dec 31, 2025 | 4.50 Bn |
| Sep 30, 2025 | 4.37 Bn |
| Jun 30, 2025 | 4.28 Bn |
| Mar 31, 2025 | 4.20 Bn |
| Dec 31, 2024 | 3.93 Bn |
| Sep 30, 2024 | 4.12 Bn |
| Jun 30, 2024 | 4.50 Bn |
| Mar 31, 2024 | 4.41 Bn |
| Dec 31, 2023 | 4.14 Bn |
| Sep 30, 2023 | 5.67 Bn |
| Jun 30, 2023 | 5.56 Bn |
| Mar 31, 2023 | 5.78 Bn |
| Dec 31, 2022 | 5.53 Bn |
| Sep 30, 2022 | 5.43 Bn |
| Jun 30, 2022 | 5.30 Bn |
| Mar 31, 2022 | 5.23 Bn |
| Dec 31, 2021 | 5.01 Bn |
| Sep 30, 2021 | 4.91 Bn |
| Jun 30, 2021 | 4.83 Bn |
API Access
Connecticut Light & Power Retained Earnings 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=retained-earnings&ticker=CNTHP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=CNTHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();