Cyber Enviro-Tech (CETI) Selling, General & Administrative (2022 - 2026)
Cyber Enviro-Tech (CETI) posted Selling, General & Administrative of $94,553 for Q2 2026, down 64.6% from $266,911 a year earlier and down 45.6% from the prior quarter.
Cyber Enviro-Tech (CETI) Selling, General & Administrative (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Cyber Enviro-Tech was $776,128, down 21.5% year-over-year; for FY2025, it came in at $993,291, down 5.6% from FY2024.
- Annual Selling, General & Administrative shows a three-year compound annual growth rate of 116.1% (FY2022 to FY2025).
- In prior years, Cyber Enviro-Tech's Selling, General & Administrative was $1.05 million in FY2024 (+103.3%), $517,380 in FY2023 (+425.6%) and $98,431 in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Selling, General & Administrative since Q2 2023.
- On a year-over-year basis, Selling, General & Administrative increased in three of the last eight quarters, with growth averaging 4.9%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q3 2023, with growth of 387.4%; the weakest was Q2 2026, with a decline of 64.6%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $173,843 (Q1 2026), $342,883 (Q4 2025) and $164,849 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn | 1.14 Bn |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn | 503.00 Mn |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn | 514.00 Mn |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn | 51.40 Mn |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn | 63.89 Mn |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn | 13.21 Mn |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn | 6.80 Mn |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 | 8.42 Mn |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - | 3.82 Mn |
| 10 | Cyber Enviro-Tech | 1.61 Mn | 1.61 Mn | - | 94,553.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94,553.00 |
| Mar 31, 2026 | 173,843.00 |
| Dec 31, 2025 | 342,883.00 |
| Sep 30, 2025 | 164,849.00 |
| Jun 30, 2025 | 266,911.00 |
| Mar 31, 2025 | 218,648.00 |
| Dec 31, 2024 | 266,855.00 |
| Sep 30, 2024 | 236,236.00 |
| Jun 30, 2024 | 147,938.00 |
| Mar 31, 2024 | 400,769.00 |
| Dec 31, 2023 | 294,114.00 |
| Sep 30, 2023 | 117,907.00 |
| Jun 30, 2023 | 76,599.00 |
| Mar 31, 2023 | 28,761.00 |
| Dec 31, 2022 | 22,059.00 |
| Sep 30, 2022 | 24,189.00 |
| Jun 30, 2022 | 25,152.00 |
| Mar 31, 2022 | 30,647.00 |
Cyber Enviro-Tech Selling, General & Administrative 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=selling-general-and-administrative&ticker=CETI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CETI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();