Pure Cycle (PCYO) Assets (2011 - 2026)
Pure Cycle (PCYO) recorded Assets of $175.98 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 16.0% from $151.74 million a year earlier and up 5.6% from the prior quarter.
Powered by 
Analysis
Pure Cycle (PCYO) Assets (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Pure Cycle reported Assets of $162.28 million, up 10.1% from FY2024.
- Annual Assets has increased for eight straight fiscal years, with a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Across earlier fiscal years, Assets came in at $147.35 million in FY2024 (+10.6%), $133.22 million in FY2023 (+3.1%), $129.23 million in FY2022 (+10.3%) and $117.18 million in FY2021 (+30.5%).
- The fiscal Q3 2026 figure is the highest quarterly Assets in data going back to fiscal Q4 2011.
- On a year-over-year basis, Assets has increased for 22 consecutive quarters, with growth averaging 11.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Assets ranged from 3.1% (fiscal Q4 2023) to 30.8% (fiscal Q1 2022).
- Per Business Quant, the preceding three fiscal quarters came in at $166.64 million (Q2 2026), $168.07 million (Q1 2026) and $162.28 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | 12.54 Bn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 232.81 Bn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 162.03 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 198.05 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | 145.98 Bn |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 121.57 Bn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 121.90 Bn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 115.28 Bn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 79.00 Bn |
| 10 | Pure Cycle | 262.42 Mn | 210.10 Mn | 4.29 Mn | 175.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 175.98 Mn |
| Feb 28, 2026 | 166.64 Mn |
| Nov 30, 2025 | 168.07 Mn |
| Aug 31, 2025 | 162.28 Mn |
| May 31, 2025 | 151.74 Mn |
| Feb 28, 2025 | 149.66 Mn |
| Nov 30, 2024 | 149.69 Mn |
| Aug 31, 2024 | 147.35 Mn |
| May 31, 2024 | 140.40 Mn |
| Feb 29, 2024 | 135.23 Mn |
| Nov 30, 2023 | 137.33 Mn |
| Aug 31, 2023 | 133.22 Mn |
| May 31, 2023 | 128.17 Mn |
| Feb 28, 2023 | 125.41 Mn |
| Nov 30, 2022 | 128.04 Mn |
| Aug 31, 2022 | 129.23 Mn |
| May 31, 2022 | 115.39 Mn |
| Feb 28, 2022 | 113.36 Mn |
| Nov 30, 2021 | 116.35 Mn |
| Aug 31, 2021 | 117.18 Mn |
API Access
Pure Cycle Assets 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=assets&ticker=PCYO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=PCYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();