Connecticut Light & Power (CNTHP) Total Current Liabilities (2009 - 2026)
Connecticut Light & Power's Total Current Liabilities was $8.21 billion in Q1 2026, up 26.0% from $6.52 billion a year earlier and up 5.1% from the prior quarter.
Connecticut Light & Power (CNTHP) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Connecticut Light & Power came in at $7.81 billion, up 16.2% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $6.72 billion in FY2024 (+6.0%), $6.34 billion in FY2023 (-6.7%), $6.8 billion in FY2022 (+16.3%) and $5.85 billion in FY2021 (+19.0%).
- The Q1 2026 figure marks the highest quarterly Total Current Liabilities in data going back to Q4 2009.
- Compared with a year earlier, Total Current Liabilities has increased for six straight quarters, with growth averaging 8.5% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2023 (growth of 36.0%); the worst was Q3 2024 (a decline of 21.1%).
- Per Business Quant data, CNTHP's Total Current Liabilities in the three quarters before Q1 2026 was $7.81 billion (Q4 2025), $6.8 billion (Q3 2025) and $6.88 billion (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | 2.23 Bn |
| 2 | National Grid | 78.23 Bn | 59.76 Bn | - | -13.21 Bn |
| 3 | Dominion Energy | 53.03 Bn | 55.71 Bn | - | 12.01 Bn |
| 4 | Xcel Energy | 43.33 Bn | 38.23 Bn | - | 8.67 Bn |
| 5 | Wec Energy | 33.06 Bn | 33.29 Bn | 1.51 Bn | 5.21 Bn |
| 6 | Ameren | 27.51 Bn | 27.60 Bn | - | 4.98 Bn |
| 7 | Fortis | 26.94 Bn | 27.43 Bn | 1.60 Bn | 5.39 Bn |
| 8 | Atmos Energy | 26.53 Bn | 25.30 Bn | 870.85 Mn | 1.84 Bn |
| 9 | American Water Works Company | 25.62 Bn | 25.03 Bn | - | 3.27 Bn |
| 10 | Connecticut Light & Power | 19.55 Bn | 19.71 Bn | - | 8.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 8.21 Bn |
| Dec 31, 2025 | 7.81 Bn |
| Sep 30, 2025 | 6.80 Bn |
| Jun 30, 2025 | 6.88 Bn |
| Mar 31, 2025 | 6.52 Bn |
| Dec 31, 2024 | 6.72 Bn |
| Sep 30, 2024 | 5.62 Bn |
| Jun 30, 2024 | 6.25 Bn |
| Mar 31, 2024 | 6.37 Bn |
| Dec 31, 2023 | 6.34 Bn |
| Sep 30, 2023 | 7.12 Bn |
| Jun 30, 2023 | 5.79 Bn |
| Mar 31, 2023 | 6.41 Bn |
| Dec 31, 2022 | 6.80 Bn |
| Sep 30, 2022 | 5.49 Bn |
| Jun 30, 2022 | 4.26 Bn |
| Mar 31, 2022 | 5.60 Bn |
| Dec 31, 2021 | 5.85 Bn |
| Sep 30, 2021 | 4.26 Bn |
| Jun 30, 2021 | 5.10 Bn |
Connecticut Light & Power Total 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-current-liabilities&ticker=CNTHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=CNTHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();