Pure Cycle Corp (PCYO) Total Operating Expenses (2010 - 2026)
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Analysis
Pure Cycle Corp (PCYO) Total Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
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 Corp Total 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=total-operating-expenses&ticker=PCYO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-operating-expenses&ticker=PCYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();