Connecticut Light & Power (CNTHP) Total Non-Current Liabilities (2009 - 2026)
Connecticut Light & Power (CNTHP) recorded Total Non-Current Liabilities of $47.04 billion in Q1 2026, up 7.4% from $43.78 billion a year earlier and up 1.2% from the prior quarter.
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Analysis
Connecticut Light & Power (CNTHP) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Connecticut Light & Power reported Total Non-Current Liabilities of $46.49 billion, up 6.2% from FY2024.
- Annual Total Non-Current Liabilities has increased for 12 straight years, with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $43.78 billion in FY2024 (+7.0%), $40.93 billion in FY2023 (+9.9%), $37.26 billion in FY2022 (+11.6%) and $33.39 billion in FY2021 (+5.9%).
- The Q1 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 19 consecutive quarters, with growth averaging 6.7% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 3.9% (Q2 2025) and 13.8% (Q3 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at $46.49 billion (Q4 2025), $44.85 billion (Q3 2025) and $44.24 billion (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | 4.60 Bn |
| 2 | National Grid | 77.93 Bn | 59.46 Bn | - | -3.15 Bn |
| 3 | Dominion Energy | 53.37 Bn | 56.05 Bn | - | 58.73 Bn |
| 4 | Xcel Energy | 44.14 Bn | 39.04 Bn | - | 44.62 Bn |
| 5 | Wec Energy | 33.42 Bn | 33.65 Bn | 1.51 Bn | 32.97 Bn |
| 6 | Ameren | 27.75 Bn | 27.83 Bn | - | 36.52 Bn |
| 7 | Fortis | 26.92 Bn | 27.40 Bn | 1.60 Bn | 36.10 Bn |
| 8 | Atmos Energy | 26.63 Bn | 25.40 Bn | 870.85 Mn | 15.51 Bn |
| 9 | American Water Works Company | 25.79 Bn | 25.20 Bn | - | 24.57 Bn |
| 10 | Connecticut Light & Power | 19.55 Bn | 19.71 Bn | - | 47.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 47.04 Bn |
| Dec 31, 2025 | 46.49 Bn |
| Sep 30, 2025 | 44.85 Bn |
| Jun 30, 2025 | 44.24 Bn |
| Mar 31, 2025 | 43.78 Bn |
| Dec 31, 2024 | 43.78 Bn |
| Sep 30, 2024 | 42.16 Bn |
| Jun 30, 2024 | 42.57 Bn |
| Mar 31, 2024 | 41.79 Bn |
| Dec 31, 2023 | 40.93 Bn |
| Sep 30, 2023 | 39.70 Bn |
| Jun 30, 2023 | 38.08 Bn |
| Mar 31, 2023 | 37.47 Bn |
| Dec 31, 2022 | 37.26 Bn |
| Sep 30, 2022 | 35.45 Bn |
| Jun 30, 2022 | 33.98 Bn |
| Mar 31, 2022 | 33.59 Bn |
| Dec 31, 2021 | 33.39 Bn |
| Sep 30, 2021 | 32.63 Bn |
| Jun 30, 2021 | 31.96 Bn |
API Access
Connecticut Light & Power Total 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=total-non-current-liabilities&ticker=CNTHP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=CNTHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();