Connecticut Light & Power (CNTHP) Other Non-Current Liabilities (2009 - 2026)
Connecticut Light & Power's Other Non-Current Liabilities was $1.14 billion in Q1 2026, up 6.1% from $1.07 billion a year earlier and up 3.3% from the prior quarter.
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Analysis
Connecticut Light & Power (CNTHP) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Connecticut Light & Power came in at $1.1 billion, up 42.4% from FY2024.
- Other Non-Current Liabilities has now increased for eight consecutive years, with a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $774 million in FY2024 (+53.0%), $505.8 million in FY2023 (+0.6%), $502.7 million in FY2022 (+0.5%) and $500.1 million in FY2021 (+0.1%).
- The Q1 2026 figure marks the highest quarterly Other Non-Current Liabilities since Q3 2024.
- Compared with a year earlier, Other Non-Current Liabilities was higher in seven of the last eight quarters, with growth averaging 17.0%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q4 2024 (growth of 53.0%); the worst was Q3 2025 (a decline of 39.7%).
- Per Business Quant data, CNTHP's Other Non-Current Liabilities in the three quarters before Q1 2026 was $1.1 billion (Q4 2025), $824.99 million (Q3 2025) and $1.05 billion (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn |
| 9 | American Water Works Company | 25.73 Bn | 25.14 Bn | - |
| 10 | Connecticut Light & Power | 19.55 Bn | 19.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.14 Bn |
| Dec 31, 2025 | 1.10 Bn |
| Sep 30, 2025 | 824.99 Mn |
| Jun 30, 2025 | 1.05 Bn |
| Mar 31, 2025 | 1.07 Bn |
| Dec 31, 2024 | 774.00 Mn |
| Sep 30, 2024 | 1.37 Bn |
| Jun 30, 2024 | 966.56 Mn |
| Mar 31, 2024 | 983.85 Mn |
| Dec 31, 2023 | 505.80 Mn |
| Sep 30, 2023 | 908.73 Mn |
| Jun 30, 2023 | 907.23 Mn |
| Mar 31, 2023 | 884.72 Mn |
| Dec 31, 2022 | 502.70 Mn |
| Sep 30, 2022 | 874.39 Mn |
| Jun 30, 2022 | 881.73 Mn |
| Mar 31, 2022 | 862.30 Mn |
| Dec 31, 2021 | 500.10 Mn |
| Sep 30, 2021 | 974.50 Mn |
| Jun 30, 2021 | 962.17 Mn |
API Access
Connecticut Light & Power Other Non-Current 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=other-non-current-liabilities&ticker=CNTHP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=CNTHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();