Pure Cycle (PCYO) Shares Outstanding (Diluted) (2010 - 2026)
Pure Cycle (PCYO) posted Shares Outstanding (Diluted) of 24.16 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 0.1% from 24.14 million a year earlier and unchanged from the prior quarter.
Pure Cycle (PCYO) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025 (ended Aug 31, 2025), Pure Cycle's Shares Outstanding (Diluted) came in at 24.17 million, up 0.1% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In prior fiscal years, Pure Cycle's Shares Outstanding (Diluted) was 24.14 million in FY2024 (+0.1%), 24.11 million in FY2023 (-0.2%), 24.16 million in FY2022 (+0.2%) and 24.11 million in FY2021 (+0.2%).
- Quarterly Shares Outstanding (Diluted) has run from a low of 24.09 million in fiscal Q1 2023 to a high of 24.22 million in fiscal Q1 2022 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in four of the last eight quarters, with growth averaging 0.1%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was fiscal Q1 2022, with growth of 0.8%; the weakest was fiscal Q1 2023, with a decline of 0.5%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior fiscal quarters was 24.17 million (Q2 2026), 24.16 million (Q1 2026) and 24.17 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 287.73 Bn | 287.73 Bn | 890.00 Mn | 69.17 Bn |
| 2 | Nextera Energy | 160.25 Bn | 161.15 Bn | - | 2.09 Bn |
| 3 | Southern | 96.31 Bn | 87.36 Bn | 5.92 Bn | 1.14 Bn |
| 4 | Duke Energy | 88.79 Bn | 87.40 Bn | 6.74 Bn | 779.00 Mn |
| 5 | National Grid | 79.16 Bn | 60.69 Bn | - | 994.20 Mn |
| 6 | American Electric Power | 65.09 Bn | 63.47 Bn | 3.84 Bn | 550.63 Mn |
| 7 | Dominion Energy | 53.95 Bn | 56.63 Bn | - | 882.10 Mn |
| 8 | Sempra | 51.22 Bn | 50.35 Bn | 2.89 Bn | 655.95 Mn |
| 9 | Entergy | 47.09 Bn | 36.28 Bn | - | 466.31 Mn |
| 10 | Pure Cycle | 262.66 Mn | 210.34 Mn | 4.29 Mn | 24.16 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 24.16 Mn |
| Feb 28, 2026 | 24.17 Mn |
| Nov 30, 2025 | 24.16 Mn |
| Aug 31, 2025 | 24.17 Mn |
| May 31, 2025 | 24.14 Mn |
| Feb 28, 2025 | 24.20 Mn |
| Nov 30, 2024 | 24.16 Mn |
| Aug 31, 2024 | 24.14 Mn |
| May 31, 2024 | 24.14 Mn |
| Feb 29, 2024 | 24.15 Mn |
| Nov 30, 2023 | 24.15 Mn |
| Aug 31, 2023 | 24.11 Mn |
| May 31, 2023 | 24.17 Mn |
| Feb 28, 2023 | 24.14 Mn |
| Nov 30, 2022 | 24.09 Mn |
| Aug 31, 2022 | 24.16 Mn |
| May 31, 2022 | 24.12 Mn |
| Feb 28, 2022 | 24.18 Mn |
| Nov 30, 2021 | 24.22 Mn |
| Aug 31, 2021 | 24.11 Mn |
Pure Cycle Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=PCYO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=PCYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();