Pure Cycle (PCYO) Operating Expenses (2010 - 2026)
Pure Cycle's Operating Expenses was $2.17 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 12.9% from $1.92 million a year earlier but down 13.9% from the prior quarter.
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Analysis
Pure Cycle (PCYO) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pure Cycle's Operating Expenses was $9.91 million through May 31, 2026, down 3.0% year-over-year; for FY2025 (ended Aug 31, 2025), it was $10.07 million, up 11.6% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $9.02 million in FY2024 (+17.6%), $7.67 million in FY2023 (-4.0%), $7.99 million in FY2022 (+15.2%) and $6.94 million in FY2021 (+16.6%).
- Quarterly Operating Expenses has moved between $916,000 (fiscal Q3 2023) and $3.77 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 7.2%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2024 (growth of 96.3%); the worst was fiscal Q3 2023 (a decline of 21.6%).
- Per Business Quant data, PCYO's Operating Expenses in the three fiscal quarters before Q3 2026 was $2.52 million (Q2 2026), $1.87 million (Q1 2026) and $3.35 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 292.57 Bn | 292.57 Bn | 890.00 Mn | -140.00 Mn |
| 2 | National Grid | 78.85 Bn | 60.37 Bn | - | - |
| 3 | Dominion Energy | 53.27 Bn | 55.95 Bn | - | 4.15 Bn |
| 4 | Xcel Energy | 44.01 Bn | 38.91 Bn | - | 2.41 Bn |
| 5 | Wec Energy | 32.84 Bn | 33.08 Bn | 1.51 Bn | 1.63 Bn |
| 6 | Ameren | 27.51 Bn | 27.59 Bn | - | 1.63 Bn |
| 7 | Fortis | 26.81 Bn | 27.29 Bn | 1.60 Bn | 626.05 Mn |
| 8 | Atmos Energy | 26.44 Bn | 25.21 Bn | 870.85 Mn | - |
| 9 | American Water Works Company | 25.73 Bn | 25.14 Bn | - | 813.00 Mn |
| 10 | Pure Cycle | 266.03 Mn | 213.71 Mn | 4.29 Mn | 2.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.17 Mn |
| Feb 28, 2026 | 2.52 Mn |
| Nov 30, 2025 | 1.87 Mn |
| Aug 31, 2025 | 3.35 Mn |
| May 31, 2025 | 1.92 Mn |
| Feb 28, 2025 | 2.85 Mn |
| Nov 30, 2024 | 1.95 Mn |
| Aug 31, 2024 | 3.49 Mn |
| May 31, 2024 | 1.80 Mn |
| Feb 29, 2024 | 2.15 Mn |
| Nov 30, 2023 | 1.59 Mn |
| Aug 31, 2023 | 3.42 Mn |
| May 31, 2023 | 916,000.00 |
| Feb 28, 2023 | 1.83 Mn |
| Nov 30, 2022 | 1.50 Mn |
| Aug 31, 2022 | 3.77 Mn |
| May 31, 2022 | 1.17 Mn |
| Feb 28, 2022 | 1.65 Mn |
| Nov 30, 2021 | 1.41 Mn |
| Aug 31, 2021 | 2.95 Mn |
API Access
Pure Cycle 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=PCYO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PCYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();