Connecticut Light & Power (CNTHP) Total Liabilities (2009 - 2026)
Connecticut Light & Power (CNTHP) posted Total Liabilities of $48.18 billion for Q1 2026, up 7.4% from $44.85 billion a year earlier and up 1.2% from the prior quarter.
Powered by 
Analysis
Connecticut Light & Power (CNTHP) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Connecticut Light & Power's Total Liabilities came in at $47.59 billion, up 6.8% from FY2024.
- Annual Total Liabilities has increased for 12 consecutive years, with a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In prior years, Connecticut Light & Power's Total Liabilities was $44.56 billion in FY2024 (+7.5%), $41.44 billion in FY2023 (+9.7%), $37.76 billion in FY2022 (+11.4%) and $33.89 billion in FY2021 (+5.8%).
- The Q1 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2009.
- On a year-over-year basis, Total Liabilities has increased in each of the last 19 quarters, with growth averaging 6.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 4.0% in Q2 2025 to 13.8% in Q3 2021.
- According to Business Quant data, Total Liabilities for the three prior quarters was $47.59 billion (Q4 2025), $45.67 billion (Q3 2025) and $45.29 billion (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | 6.83 Bn |
| 2 | National Grid | 78.23 Bn | 59.76 Bn | - | 92.96 Bn |
| 3 | Dominion Energy | 53.03 Bn | 55.71 Bn | - | 88.29 Bn |
| 4 | Xcel Energy | 43.33 Bn | 38.23 Bn | - | 63.11 Bn |
| 5 | Wec Energy | 33.06 Bn | 33.29 Bn | 1.51 Bn | 38.62 Bn |
| 6 | Ameren | 27.51 Bn | 27.60 Bn | - | 37.40 Bn |
| 7 | Fortis | 26.94 Bn | 27.43 Bn | 1.60 Bn | 37.09 Bn |
| 8 | Atmos Energy | 26.53 Bn | 25.30 Bn | 870.85 Mn | 16.33 Bn |
| 9 | American Water Works Company | 25.62 Bn | 25.03 Bn | - | 24.79 Bn |
| 10 | Connecticut Light & Power | 19.55 Bn | 19.71 Bn | - | 48.18 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 48.18 Bn |
| Dec 31, 2025 | 47.59 Bn |
| Sep 30, 2025 | 45.67 Bn |
| Jun 30, 2025 | 45.29 Bn |
| Mar 31, 2025 | 44.85 Bn |
| Dec 31, 2024 | 44.56 Bn |
| Sep 30, 2024 | 43.53 Bn |
| Jun 30, 2024 | 43.53 Bn |
| Mar 31, 2024 | 42.78 Bn |
| Dec 31, 2023 | 41.44 Bn |
| Sep 30, 2023 | 40.61 Bn |
| Jun 30, 2023 | 38.99 Bn |
| Mar 31, 2023 | 38.36 Bn |
| Dec 31, 2022 | 37.76 Bn |
| Sep 30, 2022 | 36.32 Bn |
| Jun 30, 2022 | 34.86 Bn |
| Mar 31, 2022 | 34.45 Bn |
| Dec 31, 2021 | 33.89 Bn |
| Sep 30, 2021 | 33.60 Bn |
| Jun 30, 2021 | 32.92 Bn |
API Access
Connecticut Light & Power Total Liabilities 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=total-liabilities&ticker=CNTHP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CNTHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();