Cyber Enviro-Tech (CETI) Liabilities from Discontinued Operations (2023 - 2025)
Cyber Enviro-Tech's Liabilities from Discontinued Operations was $476,855 in Q3 2025, down 2.6% from $489,463 a year earlier and unchanged from the prior quarter.
Cyber Enviro-Tech (CETI) Liabilities from Discontinued Operations (2023 - 2025) Analysis & Trends
At the end of FY2024, Liabilities from Discontinued Operations at Cyber Enviro-Tech came in at $496,463, down 22.6% from FY2023.
- In earlier years, Liabilities from Discontinued Operations was $641,032 in FY2023.
- Quarterly Liabilities from Discontinued Operations has moved between $475,963 (Q1 2025) and $641,032 (Q4 2023) over five years.
- Compared with a year earlier, Liabilities from Discontinued Operations has declined for four straight quarters, with an average decline of 8.6% over the last four quarters.
- Per Business Quant data, CETI's Liabilities from Discontinued Operations in the three quarters before Q3 2025 was $476,855 (Q2 2025), $475,963 (Q1 2025) and $496,463 (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Ecolab | 76.01 Bn | 67.78 Bn | 1.95 Bn |
| 2 | Xylem | 23.56 Bn | 19.05 Bn | 963.00 Mn |
| 3 | Veralto | 23.10 Bn | 15.75 Bn | 902.00 Mn |
| 4 | Badger Meter | 3.72 Bn | 2.99 Bn | 90.77 Mn |
| 5 | Ceco Environmental | 3.11 Bn | 2.95 Bn | 86.47 Mn |
| 6 | NWPX Infrastructure | 1.01 Bn | 971.46 Mn | 34.36 Mn |
| 7 | Energy Recovery | 342.87 Mn | 18.03 Mn | 8.96 Mn |
| 8 | Cadiz | 311.40 Mn | 279.84 Mn | -24,000.00 |
| 9 | AirJoule Technologies | 290.46 Mn | 170.08 Mn | - |
| 10 | Cyber Enviro-Tech | 1.61 Mn | 1.61 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 476,855.00 |
| Jun 30, 2025 | 476,855.00 |
| Mar 31, 2025 | 475,963.00 |
| Dec 31, 2024 | 496,463.00 |
| Sep 30, 2024 | 489,463.00 |
| Jun 30, 2024 | 500,070.00 |
| Mar 31, 2024 | 498,575.00 |
| Dec 31, 2023 | 641,032.00 |
Cyber Enviro-Tech Liabilities from Discontinued Operations 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=liabilities-from-discontinued-operations&ticker=CETI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "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=liabilities-from-discontinued-operations&ticker=CETI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();