Cyber Enviro-Tech (CETI) Operating Expenses (2022 - 2026)
Cyber Enviro-Tech (CETI) recorded Operating Expenses of $324,680 in Q2 2026, down 55.3% from $726,381 a year earlier and down 21.4% from the prior quarter.
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Analysis
Cyber Enviro-Tech (CETI) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, Cyber Enviro-Tech's Operating Expenses came in at $2.24 million as of Jun 30, 2026, down 24.1% year-over-year; for FY2025, it was $3.12 million, up 9.4% from FY2024.
- Annual Operating Expenses has a three-year compound annual growth rate of 78.8% (FY2022 to FY2025).
- Across earlier years, Operating Expenses came in at $2.85 million in FY2024 (-27.0%), $3.9 million in FY2023 (+615.7%) and $545,160 in FY2022.
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q4 2022.
- On a year-over-year basis, Operating Expenses rose in two of the last eight quarters, with an average decline of 19.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 914.2% in Q4 2023, against a decline of 63.9% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $413,290 (Q1 2026), $981,380 (Q4 2025) and $523,752 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.88 Bn | 69.66 Bn | 1.95 Bn | 1.14 Bn |
| 2 | Veralto | 23.60 Bn | 16.25 Bn | 902.00 Mn | 587.00 Mn |
| 3 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn | 573.00 Mn |
| 4 | Badger Meter | 3.65 Bn | 2.92 Bn | 90.77 Mn | 51.40 Mn |
| 5 | Ceco Environmental | 3.06 Bn | 2.89 Bn | 86.47 Mn | 109.35 Mn |
| 6 | NWPX Infrastructure | 986.65 Mn | 948.13 Mn | 34.36 Mn | 13.21 Mn |
| 7 | Energy Recovery | 345.43 Mn | 20.59 Mn | 8.96 Mn | 14.84 Mn |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 | 9.81 Mn |
| 9 | AirJoule Technologies | 289.72 Mn | 169.35 Mn | - | 5.04 Mn |
| 10 | Cyber Enviro-Tech | 3.23 Mn | 3.23 Mn | - | 324,680.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 324,680.00 |
| Mar 31, 2026 | 413,290.00 |
| Dec 31, 2025 | 981,380.00 |
| Sep 30, 2025 | 523,752.00 |
| Jun 30, 2025 | 726,381.00 |
| Mar 31, 2025 | 884,957.00 |
| Dec 31, 2024 | 670,921.00 |
| Sep 30, 2024 | 673,472.00 |
| Jun 30, 2024 | 631,013.00 |
| Mar 31, 2024 | 1.02 Mn |
| Dec 31, 2023 | 1.86 Mn |
| Sep 30, 2023 | 735,404.00 |
| Jun 30, 2023 | 865,755.00 |
| Mar 31, 2023 | 441,407.00 |
| Dec 31, 2022 | 183,300.00 |
| Sep 30, 2022 | 117,413.00 |
| Jun 30, 2022 | 144,363.00 |
| Mar 31, 2022 | -119,275.00 |
API Access
Cyber Enviro-Tech Operating 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=operating-expenses&ticker=CETI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CETI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();