Connecticut Light & Power (CNTHP) Long-Term Investments (2009 - 2026)
Connecticut Light & Power (CNTHP) posted Long-Term Investments of $322.19 million for Q1 2026, down 0.6% from $324.11 million a year earlier but up 1.6% from the prior quarter.
Connecticut Light & Power (CNTHP) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025, Connecticut Light & Power's Long-Term Investments came in at $317.1 million, down 1.0% from FY2024.
- Annual Long-Term Investments has declined for three consecutive years, with a five-year compound annual growth rate of -22.1% (FY2020 to FY2025).
- In prior years, Connecticut Light & Power's Long-Term Investments was $320.27 million in FY2024 (-51.5%), $660.5 million in FY2023 (-69.6%), $2.18 billion in FY2022 (+51.5%) and $1.44 billion in FY2021 (+29.7%).
- Quarterly Long-Term Investments has run from a low of $316.59 million in Q2 2025 to a high of $2.72 billion in Q3 2023 over five years.
- On a year-over-year basis, Long-Term Investments has declined in each of the last ten quarters, with an average decline of 40.8% over the last eight quarters.
- The strongest year-over-year quarter for Long-Term Investments in the past five years was Q4 2022, with growth of 51.5%; the weakest was Q3 2024, with a decline of 87.6%.
- According to Business Quant data, Long-Term Investments for the three prior quarters was $317.1 million (Q4 2025), $321.04 million (Q3 2025) and $316.59 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn | - |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - | 1.14 Bn |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - | 10.42 Bn |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - | 4.73 Bn |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn | 2.42 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 | - | 322.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 322.19 Mn |
| Dec 31, 2025 | 317.10 Mn |
| Sep 30, 2025 | 321.04 Mn |
| Jun 30, 2025 | 316.59 Mn |
| Mar 31, 2025 | 324.11 Mn |
| Dec 31, 2024 | 320.27 Mn |
| Sep 30, 2024 | 339.12 Mn |
| Jun 30, 2024 | 949.04 Mn |
| Mar 31, 2024 | 741.70 Mn |
| Dec 31, 2023 | 660.50 Mn |
| Sep 30, 2023 | 2.72 Bn |
| Jun 30, 2023 | 2.23 Bn |
| Mar 31, 2023 | 2.30 Bn |
| Dec 31, 2022 | 2.18 Bn |
| Sep 30, 2022 | 2.05 Bn |
| Jun 30, 2022 | 1.72 Bn |
| Mar 31, 2022 | 1.55 Bn |
| Dec 31, 2021 | 1.44 Bn |
| Sep 30, 2021 | 1.36 Bn |
| Jun 30, 2021 | 1.21 Bn |
Connecticut Light & Power Long-Term Investments 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=long-term-investments&ticker=CNTHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=CNTHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();