Cyber Enviro-Tech (CETI) Non Operating Interest Expenses (2022 - 2026)
Cyber Enviro-Tech's Non Operating Interest Expenses came in at $571,624 for Q2 2026, up 240.3% from $168,001 a year earlier and up 41.9% from the prior quarter.
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Analysis
Cyber Enviro-Tech (CETI) Non Operating Interest Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cyber Enviro-Tech reported Non Operating Interest Expenses of $1.94 million, up 131.5% year-over-year; for FY2025, it came in at $1.46 million, up 93.0% from FY2024.
- Non Operating Interest Expenses carries a three-year compound annual growth rate of 8.3% (FY2022 to FY2025).
- Going back by year, Non Operating Interest Expenses was $759,013 in FY2024 (+128.9%), $331,606 in FY2023 (-71.2%) and $1.15 million in FY2022.
- The five-year range for quarterly Non Operating Interest Expenses is -$233,451 (Q4 2022) to $1.21 million (Q1 2022).
- Year-over-year, Non Operating Interest Expenses has increased for four consecutive quarters, with growth averaging 97.6% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2024 (growth of 441.5%), and the weakest in Q1 2023 (a decline of 97.4%).
- Business Quant data shows CETI's Non Operating Interest Expenses at $402,897 (Q1 2026), $343,573 (Q4 2025) and $621,666 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.01 Bn | 67.78 Bn | 1.95 Bn | -73.10 Mn |
| 2 | Xylem | 23.56 Bn | 19.05 Bn | 963.00 Mn | 7.00 Mn |
| 3 | Veralto | 23.10 Bn | 15.75 Bn | 902.00 Mn | 27.00 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 | 9.10 Mn |
| 6 | NWPX Infrastructure | 1.01 Bn | 971.46 Mn | 34.36 Mn | 320,000.00 |
| 7 | Energy Recovery | 342.87 Mn | 18.03 Mn | 8.96 Mn | - |
| 8 | Cadiz | 311.40 Mn | 279.84 Mn | -24,000.00 | 2.90 Mn |
| 9 | AirJoule Technologies | 290.46 Mn | 170.08 Mn | - | - |
| 10 | Cyber Enviro-Tech | 1.61 Mn | 1.61 Mn | - | 571,624.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 571,624.00 |
| Mar 31, 2026 | 402,897.00 |
| Dec 31, 2025 | 343,573.00 |
| Sep 30, 2025 | 621,666.00 |
| Jun 30, 2025 | 168,001.00 |
| Mar 31, 2025 | 331,723.00 |
| Dec 31, 2024 | 171,251.00 |
| Sep 30, 2024 | 166,984.00 |
| Jun 30, 2024 | 259,626.00 |
| Mar 31, 2024 | 161,152.00 |
| Dec 31, 2023 | 105,640.00 |
| Sep 30, 2023 | 146,870.00 |
| Jun 30, 2023 | 47,950.00 |
| Mar 31, 2023 | 31,146.00 |
| Dec 31, 2022 | -233,451.00 |
| Sep 30, 2022 | 162,287.00 |
| Jun 30, 2022 | 12,182.00 |
| Mar 31, 2022 | 1.21 Mn |
API Access
Cyber Enviro-Tech Non Operating Interest 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=non-operating-interest-expenses&ticker=CETI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=CETI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();