Global Water Resources (GWRS) Return on Sales [ROS] (2015 - 2026)
Global Water Resources' Return on Sales [ROS] was 25.36% in Q2 2026, up 6.96 percentage points from 18.40% a year earlier and up 22.43 percentage points from the prior quarter.
Global Water Resources (GWRS) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Global Water Resources' Return on Sales [ROS] was 13.60% through Jun 30, 2026, down 3.31 percentage points year-over-year; for FY2025, it came in at 12.83%, down 4.94 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -6.16 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 17.77% in FY2024 (-5.40 pp), 23.17% in FY2023 (+5.69 pp), 17.48% in FY2022 (+0.83 pp) and 16.65% in FY2021 (-2.34 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q3 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last eight quarters, with an average year-over-year change of -2.71 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2023 (a gain of 15.18 percentage points); the worst was Q1 2024 (a drop of 17.86 percentage points).
- Per Business Quant data, GWRS's Return on Sales [ROS] in the three quarters before Q2 2026 was 2.93% (Q1 2026), 2.65% (Q4 2025) and 18.83% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 287.73 Bn | 287.73 Bn | 890.00 Mn | 30.20% |
| 2 | Nextera Energy | 160.25 Bn | 161.15 Bn | - | 29.71% |
| 3 | Southern | 96.31 Bn | 87.36 Bn | 5.92 Bn | 25.46% |
| 4 | Duke Energy | 88.79 Bn | 87.40 Bn | 6.74 Bn | 29.69% |
| 5 | National Grid | 79.16 Bn | 60.69 Bn | - | - |
| 6 | American Electric Power | 65.09 Bn | 63.47 Bn | 3.84 Bn | 22.90% |
| 7 | Dominion Energy | 53.95 Bn | 56.63 Bn | - | 7.34% |
| 8 | Sempra | 51.22 Bn | 50.35 Bn | 2.89 Bn | 23.72% |
| 9 | Entergy | 47.09 Bn | 36.28 Bn | - | 24.13% |
| 10 | Global Water Resources | 234.11 Mn | 211.51 Mn | - | 25.36% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.36% |
| Mar 31, 2026 | 2.93% |
| Dec 31, 2025 | 2.65% |
| Sep 30, 2025 | 18.83% |
| Jun 30, 2025 | 18.40% |
| Mar 31, 2025 | 10.07% |
| Dec 31, 2024 | 9.93% |
| Sep 30, 2024 | 27.82% |
| Jun 30, 2024 | 20.70% |
| Mar 31, 2024 | 10.91% |
| Dec 31, 2023 | 13.44% |
| Sep 30, 2023 | 26.40% |
| Jun 30, 2023 | 23.15% |
| Mar 31, 2023 | 28.77% |
| Dec 31, 2022 | 11.06% |
| Sep 30, 2022 | 23.26% |
| Jun 30, 2022 | 21.03% |
| Mar 31, 2022 | 13.59% |
| Dec 31, 2021 | 12.65% |
| Sep 30, 2021 | 20.11% |
Global Water Resources Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GWRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GWRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();