Consolidated Water (CWCO) Total Non-Current Liabilities (2010 - 2026)
Consolidated Water (CWCO) posted Total Non-Current Liabilities of $31.79 million for Q2 2026, down 9.5% from $35.14 million a year earlier but up 1.7% from the prior quarter.
Consolidated Water (CWCO) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Consolidated Water's Total Non-Current Liabilities came in at $30.73 million, up 10.3% from FY2024.
- Annual Total Non-Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 24.7% (FY2020 to FY2025).
- In prior years, Consolidated Water's Total Non-Current Liabilities was $27.85 million in FY2024 (+5.3%), $26.45 million in FY2023 (+5.7%), $25.02 million in FY2022 (+137.2%) and $10.55 million in FY2021 (+3.6%).
- Quarterly Total Non-Current Liabilities has run from a low of $10.55 million in Q4 2021 to a high of $35.14 million in Q2 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in five of the last eight quarters, with growth averaging 11.8%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2023, with growth of 181.4%; the weakest was Q2 2024, with a decline of 23.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $31.25 million (Q1 2026), $30.73 million (Q4 2025) and $30.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn | 4.60 Bn |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - | -3.15 Bn |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - | 58.73 Bn |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - | 44.62 Bn |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn | 32.97 Bn |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - | 36.52 Bn |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn | 36.10 Bn |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn | 15.51 Bn |
| 9 | American Water Works Company | 25.73 Bn | 25.14 Bn | - | 24.57 Bn |
| 10 | Consolidated Water | 448.33 Mn | -52.62 Mn | 10.96 Mn | 31.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.79 Mn |
| Mar 31, 2026 | 31.25 Mn |
| Dec 31, 2025 | 30.73 Mn |
| Sep 30, 2025 | 30.88 Mn |
| Jun 30, 2025 | 35.14 Mn |
| Mar 31, 2025 | 31.40 Mn |
| Dec 31, 2024 | 27.85 Mn |
| Sep 30, 2024 | 23.23 Mn |
| Jun 30, 2024 | 23.01 Mn |
| Mar 31, 2024 | 25.77 Mn |
| Dec 31, 2023 | 26.45 Mn |
| Sep 30, 2023 | 28.55 Mn |
| Jun 30, 2023 | 29.92 Mn |
| Mar 31, 2023 | 33.04 Mn |
| Dec 31, 2022 | 25.02 Mn |
| Sep 30, 2022 | 18.36 Mn |
| Jun 30, 2022 | 14.97 Mn |
| Mar 31, 2022 | 11.74 Mn |
| Dec 31, 2021 | 10.55 Mn |
| Sep 30, 2021 | 11.40 Mn |
Consolidated Water 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=CWCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CWCO", "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=CWCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();