Pure Cycle (PCYO) Return on Sales [ROS] (2010 - 2026)
Pure Cycle (PCYO) recorded Return on Sales [ROS] of 25.71% in fiscal Q3 2026 (quarter ended May 31, 2026), down 0.24 percentage points from 25.95% a year earlier but up 20.62 percentage points from the prior quarter.
Pure Cycle (PCYO) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Pure Cycle's Return on Sales [ROS] came in at 37.67% as of May 31, 2026, up 3.01 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it was 29.40%, down 13.18 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +23.55 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at 42.59% in FY2024 (+28.38 pp), 14.21% in FY2023 (-29.68 pp), 43.89% in FY2022 (+13.12 pp) and 30.77% in FY2021 (+24.92 pp).
- Quarterly Return on Sales [ROS] has ranged from -111.12% in fiscal Q1 2023 to 61.99% in fiscal Q4 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of +8.64 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 143.72 percentage points in fiscal Q1 2024, against a drop of 145.76 percentage points in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 5.09% (Q2 2026), 47.98% (Q1 2026) and 53.07% (Q4 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 | Pure Cycle | 262.66 Mn | 210.34 Mn | 4.29 Mn | 25.71% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 25.71% |
| Feb 28, 2026 | 5.09% |
| Nov 30, 2025 | 47.98% |
| Aug 31, 2025 | 53.07% |
| May 31, 2025 | 25.95% |
| Feb 28, 2025 | -33.22% |
| Nov 30, 2024 | 29.90% |
| Aug 31, 2024 | 61.99% |
| May 31, 2024 | 40.35% |
| Feb 29, 2024 | -11.51% |
| Nov 30, 2023 | 32.60% |
| Aug 31, 2023 | 1.31% |
| May 31, 2023 | 54.62% |
| Feb 28, 2023 | -8.00% |
| Nov 30, 2022 | -111.12% |
| Aug 31, 2022 | 59.60% |
| May 31, 2022 | 19.58% |
| Feb 28, 2022 | 32.33% |
| Nov 30, 2021 | 34.64% |
| Aug 31, 2021 | 39.80% |
Pure Cycle 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=PCYO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PCYO", "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=PCYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();