Pure Cycle (PCYO) Accumulated Expenses (2011 - 2026)
Pure Cycle's Accumulated Expenses was $3.31 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 2.9% from $3.21 million a year earlier and up 3.3% from the prior quarter.
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Analysis
Pure Cycle (PCYO) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Accumulated Expenses at Pure Cycle came in at $4.34 million, down 16.1% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 25.5% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $5.16 million in FY2024 (+85.6%), $2.78 million in FY2023 (+37.1%), $2.03 million in FY2022 (+65.8%) and $1.22 million in FY2021 (-12.0%).
- Quarterly Accumulated Expenses has moved between $669,000 (fiscal Q1 2022) and $5.32 million (fiscal Q1 2026) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in six of the last eight quarters, with growth averaging 34.8%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q1 2026 (growth of 134.2%); the worst was fiscal Q1 2022 (a decline of 32.4%).
- Per Business Quant data, PCYO's Accumulated Expenses in the three fiscal quarters before Q3 2026 was $3.2 million (Q2 2026), $5.32 million (Q1 2026) and $4.34 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - |
| 10 | Pure Cycle | 262.42 Mn | 210.10 Mn | 4.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 3.31 Mn |
| Feb 28, 2026 | 3.20 Mn |
| Nov 30, 2025 | 5.32 Mn |
| Aug 31, 2025 | 4.34 Mn |
| May 31, 2025 | 3.21 Mn |
| Feb 28, 2025 | 3.53 Mn |
| Nov 30, 2024 | 2.27 Mn |
| Aug 31, 2024 | 5.16 Mn |
| May 31, 2024 | 2.74 Mn |
| Feb 29, 2024 | 2.42 Mn |
| Nov 30, 2023 | 1.92 Mn |
| Aug 31, 2023 | 2.78 Mn |
| May 31, 2023 | 1.74 Mn |
| Feb 28, 2023 | 1.20 Mn |
| Nov 30, 2022 | 920,000.00 |
| Aug 31, 2022 | 2.03 Mn |
| May 31, 2022 | 925,000.00 |
| Feb 28, 2022 | 1.01 Mn |
| Nov 30, 2021 | 669,000.00 |
| Aug 31, 2021 | 1.22 Mn |
API Access
Pure Cycle Accumulated 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=accumulated-expenses&ticker=PCYO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PCYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();