Pure Cycle (PCYO) Cost of Revenue (2010 - 2026)
Pure Cycle (PCYO) recorded Cost of Revenue of $3.94 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 109.1% from $1.88 million a year earlier and up 65.1% from the prior quarter.
Pure Cycle (PCYO) Cost of Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Pure Cycle's Cost of Revenue came in at $12.83 million as of May 31, 2026, up 39.1% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $10.06 million, up 11.9% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of -11.3% (FY2020 to FY2025).
- Across earlier fiscal years, Cost of Revenue came in at $8.99 million in FY2024 (+37.3%), $6.55 million in FY2023 (-1.3%), $6.63 million in FY2022 (+3.5%) and $6.4 million in FY2021 (-65.0%).
- The fiscal Q3 2026 figure is the highest quarterly Cost of Revenue since fiscal Q4 2020.
- On a year-over-year basis, Cost of Revenue rose in six of the last eight quarters, with growth averaging 36.5%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 109.1% in fiscal Q3 2026, against a decline of 76.5% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.39 million (Q2 2026), $2.88 million (Q1 2026) and $3.62 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 287.73 Bn | 287.73 Bn | 890.00 Mn | 1.38 Bn |
| 2 | Nextera Energy | 160.25 Bn | 161.15 Bn | - | - |
| 3 | Southern | 96.31 Bn | 87.36 Bn | 5.92 Bn | 1.05 Bn |
| 4 | Duke Energy | 88.79 Bn | 87.40 Bn | 6.74 Bn | 2.44 Bn |
| 5 | National Grid | 79.16 Bn | 60.69 Bn | - | - |
| 6 | American Electric Power | 65.09 Bn | 63.47 Bn | 3.84 Bn | 1.60 Bn |
| 7 | Dominion Energy | 53.95 Bn | 56.63 Bn | - | - |
| 8 | Sempra | 51.22 Bn | 50.35 Bn | 2.89 Bn | 108.00 Mn |
| 9 | Entergy | 47.09 Bn | 36.28 Bn | - | - |
| 10 | Pure Cycle | 262.66 Mn | 210.34 Mn | 4.29 Mn | 3.94 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 3.94 Mn |
| Feb 28, 2026 | 2.39 Mn |
| Nov 30, 2025 | 2.88 Mn |
| Aug 31, 2025 | 3.62 Mn |
| May 31, 2025 | 1.88 Mn |
| Feb 28, 2025 | 2.47 Mn |
| Nov 30, 2024 | 2.09 Mn |
| Aug 31, 2024 | 2.79 Mn |
| May 31, 2024 | 2.74 Mn |
| Feb 29, 2024 | 1.42 Mn |
| Nov 30, 2023 | 2.04 Mn |
| Aug 31, 2023 | 1.60 Mn |
| May 31, 2023 | 2.21 Mn |
| Feb 28, 2023 | 1.41 Mn |
| Nov 30, 2022 | 1.33 Mn |
| Aug 31, 2022 | 2.34 Mn |
| May 31, 2022 | 1.39 Mn |
| Feb 28, 2022 | 1.51 Mn |
| Nov 30, 2021 | 1.38 Mn |
| Aug 31, 2021 | 1.45 Mn |
Pure Cycle Cost of Revenue 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=cost-of-revenue&ticker=PCYO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PCYO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();