Consolidated Water (CWCO) Operating Expenses (2010 - 2026)
Consolidated Water's Operating Expenses came in at $8.85 million for Q2 2026, down 2.0% from $9.02 million a year earlier and down 1.7% from the prior quarter.
Consolidated Water (CWCO) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Consolidated Water reported Operating Expenses of $35.69 million, up 0.9% year-over-year; for FY2025, it came in at $36.03 million, up 8.6% from FY2024.
- Operating Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 14.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $33.18 million in FY2024 (+9.2%), $30.39 million in FY2023 (+15.4%), $26.33 million in FY2022 (+43.5%) and $18.35 million in FY2021 (-0.5%).
- The five-year range for quarterly Operating Expenses is $4.36 million (Q3 2021) to $9.16 million (Q1 2025).
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 12.8%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2024 (growth of 42.6%), and the weakest in Q3 2021 (a decline of 9.4%).
- Business Quant data shows CWCO's Operating Expenses at $9 million (Q1 2026), $9.13 million (Q4 2025) and $8.72 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | -140.00 Mn |
| 2 | National Grid | 78.23 Bn | 59.76 Bn | - | - |
| 3 | Dominion Energy | 53.03 Bn | 55.71 Bn | - | 4.15 Bn |
| 4 | Xcel Energy | 43.33 Bn | 38.23 Bn | - | 2.41 Bn |
| 5 | Wec Energy | 33.06 Bn | 33.29 Bn | 1.51 Bn | 1.63 Bn |
| 6 | Ameren | 27.51 Bn | 27.60 Bn | - | 1.63 Bn |
| 7 | Fortis | 26.94 Bn | 27.43 Bn | 1.60 Bn | 626.05 Mn |
| 8 | Atmos Energy | 26.53 Bn | 25.30 Bn | 870.85 Mn | - |
| 9 | American Water Works Company | 25.62 Bn | 25.03 Bn | - | 813.00 Mn |
| 10 | Consolidated Water | 440.49 Mn | -60.46 Mn | 10.96 Mn | 8.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.85 Mn |
| Mar 31, 2026 | 9.00 Mn |
| Dec 31, 2025 | 9.13 Mn |
| Sep 30, 2025 | 8.72 Mn |
| Jun 30, 2025 | 9.02 Mn |
| Mar 31, 2025 | 9.16 Mn |
| Dec 31, 2024 | 8.82 Mn |
| Sep 30, 2024 | 8.37 Mn |
| Jun 30, 2024 | 8.01 Mn |
| Mar 31, 2024 | 7.97 Mn |
| Dec 31, 2023 | 6.86 Mn |
| Sep 30, 2023 | 5.87 Mn |
| Jun 30, 2023 | 5.98 Mn |
| Mar 31, 2023 | 6.04 Mn |
| Dec 31, 2022 | 5.67 Mn |
| Sep 30, 2022 | 5.61 Mn |
| Jun 30, 2022 | 4.93 Mn |
| Mar 31, 2022 | 4.87 Mn |
| Dec 31, 2021 | 4.50 Mn |
| Sep 30, 2021 | 4.36 Mn |
Consolidated Water Operating Expenses 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=operating-expenses&ticker=CWCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CWCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();