Global Water Resources (GWRS) Total Liabilities (2015 - 2026)
Global Water Resources' Total Liabilities came in at $399.31 million for Q2 2026, up 7.2% from $372.64 million a year earlier but down 0.4% from the prior quarter.
Global Water Resources (GWRS) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Global Water Resources' Total Liabilities was $396.3 million, up 10.8% from FY2024.
- Total Liabilities has increased in each of the last eight years, with a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $357.53 million in FY2024 (+14.4%), $312.48 million in FY2023 (+12.1%), $278.69 million in FY2022 (+5.5%) and $264.05 million in FY2021 (+5.1%).
- The five-year range for quarterly Total Liabilities is $264.05 million (Q4 2021) to $400.86 million (Q1 2026).
- Year-over-year, Total Liabilities has increased for 31 consecutive quarters, with growth averaging 10.9% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 4.3% (Q1 2022) and 14.4% (Q3 2024) over the last five years.
- Business Quant data shows GWRS's Total Liabilities at $400.86 million (Q1 2026), $396.3 million (Q4 2025) and $391.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | 6.83 Bn |
| 2 | National Grid | 77.93 Bn | 59.46 Bn | - | 92.96 Bn |
| 3 | Dominion Energy | 53.37 Bn | 56.05 Bn | - | 88.29 Bn |
| 4 | Xcel Energy | 44.14 Bn | 39.04 Bn | - | 63.11 Bn |
| 5 | Wec Energy | 33.42 Bn | 33.65 Bn | 1.51 Bn | 38.62 Bn |
| 6 | Ameren | 27.75 Bn | 27.83 Bn | - | 37.40 Bn |
| 7 | Fortis | 26.92 Bn | 27.40 Bn | 1.60 Bn | 37.09 Bn |
| 8 | Atmos Energy | 26.63 Bn | 25.40 Bn | 870.85 Mn | 16.33 Bn |
| 9 | American Water Works Company | 25.79 Bn | 25.20 Bn | - | 24.79 Bn |
| 10 | Global Water Resources | 229.79 Mn | 207.19 Mn | - | 399.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 399.31 Mn |
| Mar 31, 2026 | 400.86 Mn |
| Dec 31, 2025 | 396.30 Mn |
| Sep 30, 2025 | 391.03 Mn |
| Jun 30, 2025 | 372.64 Mn |
| Mar 31, 2025 | 366.70 Mn |
| Dec 31, 2024 | 357.53 Mn |
| Sep 30, 2024 | 354.08 Mn |
| Jun 30, 2024 | 336.85 Mn |
| Mar 31, 2024 | 333.97 Mn |
| Dec 31, 2023 | 312.48 Mn |
| Sep 30, 2023 | 309.37 Mn |
| Jun 30, 2023 | 303.73 Mn |
| Mar 31, 2023 | 298.05 Mn |
| Dec 31, 2022 | 278.69 Mn |
| Sep 30, 2022 | 280.15 Mn |
| Jun 30, 2022 | 276.11 Mn |
| Mar 31, 2022 | 267.79 Mn |
| Dec 31, 2021 | 264.05 Mn |
| Sep 30, 2021 | 264.59 Mn |
Global Water Resources Total 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-liabilities&ticker=GWRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GWRS", "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-liabilities&ticker=GWRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();