Pure Cycle (PCYO) Total Liabilities (2011 - 2026)
Pure Cycle's Total Liabilities came in at $24.39 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 61.9% from $15.06 million a year earlier and up 36.0% from the prior quarter.
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Analysis
Pure Cycle (PCYO) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Pure Cycle's Total Liabilities was $19.54 million, up 10.7% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 20.4% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $17.65 million in FY2024 (+17.8%), $14.98 million in FY2023 (-7.7%), $16.23 million in FY2022 (+12.4%) and $14.44 million in FY2021 (+87.1%).
- The fiscal Q3 2026 figure represents the highest quarterly Total Liabilities since fiscal Q2 2014.
- Year-over-year, Total Liabilities has increased for four consecutive quarters, with growth averaging 15.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q1 2022 (growth of 100.5%), and the weakest in fiscal Q3 2025 (a decline of 12.5%).
- Business Quant data shows PCYO's Total Liabilities at $17.94 million (Q2 2026), $20.58 million (Q1 2026) and $19.54 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | 6.83 Bn |
| 2 | National Grid | 77.93 Bn | 59.46 Bn | - | 92.96 Bn |
| 3 | Dominion Energy | 53.37 Bn | 56.05 Bn | - | 88.29 Bn |
| 4 | Xcel Energy | 44.14 Bn | 39.04 Bn | - | 63.11 Bn |
| 5 | Wec Energy | 33.42 Bn | 33.65 Bn | 1.51 Bn | 38.62 Bn |
| 6 | Ameren | 27.75 Bn | 27.83 Bn | - | 37.40 Bn |
| 7 | Fortis | 26.92 Bn | 27.40 Bn | 1.60 Bn | 37.09 Bn |
| 8 | Atmos Energy | 26.63 Bn | 25.40 Bn | 870.85 Mn | 16.33 Bn |
| 9 | American Water Works Company | 25.79 Bn | 25.20 Bn | - | 24.79 Bn |
| 10 | Pure Cycle | 264.83 Mn | 212.51 Mn | 4.29 Mn | 24.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 24.39 Mn |
| Feb 28, 2026 | 17.94 Mn |
| Nov 30, 2025 | 20.58 Mn |
| Aug 31, 2025 | 19.54 Mn |
| May 31, 2025 | 15.06 Mn |
| Feb 28, 2025 | 15.24 Mn |
| Nov 30, 2024 | 16.10 Mn |
| Aug 31, 2024 | 17.65 Mn |
| May 31, 2024 | 17.22 Mn |
| Feb 29, 2024 | 14.78 Mn |
| Nov 30, 2023 | 17.15 Mn |
| Aug 31, 2023 | 14.98 Mn |
| May 31, 2023 | 10.97 Mn |
| Feb 28, 2023 | 11.61 Mn |
| Nov 30, 2022 | 14.79 Mn |
| Aug 31, 2022 | 16.23 Mn |
| May 31, 2022 | 8.08 Mn |
| Feb 28, 2022 | 7.01 Mn |
| Nov 30, 2021 | 11.99 Mn |
| Aug 31, 2021 | 14.44 Mn |
API Access
Pure Cycle Total Liabilities 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-liabilities&ticker=PCYO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=PCYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();