Pure Cycle (PCYO) Selling, General & Administrative (2010 - 2026)
Pure Cycle (PCYO) reported Selling, General & Administrative of $1.94 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 7.9% from $1.8 million a year earlier but down 17.4% from the prior quarter.
Pure Cycle (PCYO) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Pure Cycle's Selling, General & Administrative came in at $7.47 million, down 8.1% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $7.77 million, up 12.3% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- By fiscal year, Selling, General & Administrative came in at $6.92 million in FY2024 (+26.5%), $5.47 million in FY2023 (-7.2%), $5.89 million in FY2022 (+14.7%) and $5.14 million in FY2021 (+20.9%).
- Five-year quarterly Selling, General & Administrative spans a low of $805,000 in fiscal Q3 2023 and a high of $2.71 million in fiscal Q2 2025.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 7.1%.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q3 2024 (growth of 104.6%); the low point was fiscal Q3 2023 (a decline of 25.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $2.35 million (Q2 2026), $1.71 million (Q1 2026) and $1.48 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 287.73 Bn | 287.73 Bn | 890.00 Mn | - |
| 2 | Nextera Energy | 160.25 Bn | 161.15 Bn | - | - |
| 3 | Southern | 96.31 Bn | 87.36 Bn | 5.92 Bn | - |
| 4 | Duke Energy | 88.79 Bn | 87.40 Bn | 6.74 Bn | - |
| 5 | National Grid | 79.16 Bn | 60.69 Bn | - | - |
| 6 | American Electric Power | 65.09 Bn | 63.47 Bn | 3.84 Bn | - |
| 7 | Dominion Energy | 53.95 Bn | 56.63 Bn | - | - |
| 8 | Sempra | 51.22 Bn | 50.35 Bn | 2.89 Bn | - |
| 9 | Entergy | 47.09 Bn | 36.28 Bn | - | - |
| 10 | Pure Cycle | 262.66 Mn | 210.34 Mn | 4.29 Mn | 1.94 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.94 Mn |
| Feb 28, 2026 | 2.35 Mn |
| Nov 30, 2025 | 1.71 Mn |
| Aug 31, 2025 | 1.48 Mn |
| May 31, 2025 | 1.80 Mn |
| Feb 28, 2025 | 2.71 Mn |
| Nov 30, 2024 | 1.79 Mn |
| Aug 31, 2024 | 1.84 Mn |
| May 31, 2024 | 1.65 Mn |
| Feb 29, 2024 | 2.00 Mn |
| Nov 30, 2023 | 1.44 Mn |
| Aug 31, 2023 | 1.57 Mn |
| May 31, 2023 | 805,000.00 |
| Feb 28, 2023 | 1.71 Mn |
| Nov 30, 2022 | 1.39 Mn |
| Aug 31, 2022 | 1.94 Mn |
| May 31, 2022 | 1.07 Mn |
| Feb 28, 2022 | 1.55 Mn |
| Nov 30, 2021 | 1.33 Mn |
| Aug 31, 2021 | 1.39 Mn |
Pure Cycle Selling, General & Administrative 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=selling-general-and-administrative&ticker=PCYO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PCYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();