Cyber Enviro-Tech (CETI) Change in Accured Expenses (2022 - 2026)
Cyber Enviro-Tech (CETI) reported Change in Accured Expenses of $97,166 for Q2 2026, up 314.8% from $23,425 a year earlier but down 24.4% from the prior quarter.
Cyber Enviro-Tech (CETI) Change in Accured Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cyber Enviro-Tech's Change in Accured Expenses came in at $406,266, up 12.2% year-over-year; for FY2025, it came in at $280,420, down 22.5% from FY2024.
- Change in Accured Expenses has a three-year compound annual growth rate of 89.6% (FY2022 to FY2025).
- By year, Change in Accured Expenses came in at $361,979 in FY2024 (+207.5%), $117,727 in FY2023 (+186.3%) and $41,114 in FY2022.
- Five-year quarterly Change in Accured Expenses spans a low of -$62,271 in Q3 2022 and a high of $311,871 in Q4 2024.
- Year over year, Change in Accured Expenses gained in four of the last six quarters, with growth averaging 78.4%.
- The high point for year-over-year Change in Accured Expenses in five years was Q2 2026 (growth of 314.8%); the low point was Q2 2023 (a decline of 61.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $128,521 (Q1 2026), $209,891 (Q4 2025) and -$29,312 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn | - |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn | - |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn | 68.00 Mn |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn | - |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn | 21.35 Mn |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn | 2.20 Mn |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn | 990,000.00 |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 | - |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - | 452,741.00 |
| 10 | Cyber Enviro-Tech | 1.61 Mn | 1.61 Mn | - | 97,166.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97,166.00 |
| Mar 31, 2026 | 128,521.00 |
| Dec 31, 2025 | 209,891.00 |
| Sep 30, 2025 | -29,312.00 |
| Jun 30, 2025 | 23,425.00 |
| Mar 31, 2025 | 76,416.00 |
| Dec 31, 2024 | 311,871.00 |
| Sep 30, 2024 | -49,506.00 |
| Jun 30, 2024 | 31,389.00 |
| Mar 31, 2024 | 68,225.00 |
| Dec 31, 2023 | 133,666.00 |
| Sep 30, 2023 | -44,475.00 |
| Jun 30, 2023 | 24,086.00 |
| Mar 31, 2023 | 4,450.00 |
| Dec 31, 2022 | 76,991.00 |
| Sep 30, 2022 | -62,271.00 |
| Jun 30, 2022 | 62,271.00 |
| Mar 31, 2022 | -35,877.00 |
Cyber Enviro-Tech Change in Accured Expenses 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=change-in-accured-expenses&ticker=CETI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CETI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=CETI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();