Cyber Enviro-Tech (CETI) Depreciation & Amortization (CF) (2022 - 2026)
Cyber Enviro-Tech's Depreciation & Amortization (CF) was $671.00 in Q2 2026, down 78.8% from $3,161 a year earlier and unchanged from the prior quarter.
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Analysis
Cyber Enviro-Tech (CETI) Depreciation & Amortization (CF) (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cyber Enviro-Tech's Depreciation & Amortization (CF) was $22,938 through Jun 30, 2026, down 62.7% year-over-year; for FY2025, it came in at $26,722, down 76.3% from FY2024.
- Depreciation & Amortization (CF) shows a three-year compound annual growth rate of -15.3% (FY2022 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $112,850 in FY2024 (+66.1%), $67,950 in FY2023 (+54.7%) and $43,929 in FY2022.
- Quarterly Depreciation & Amortization (CF) has moved between -$463.00 (Q2 2023) and $28,550 (Q3 2023) over five years.
- Compared with a year earlier, Depreciation & Amortization (CF) has declined for six straight quarters, with an average decline of 55.7% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q3 2023 (growth of 125.3%); the worst was Q1 2025 (a decline of 93.0%).
- Per Business Quant data, CETI's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $671.00 (Q1 2026), $18,434 (Q4 2025) and $3,162 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.01 Bn | 67.78 Bn | 1.95 Bn | 183.80 Mn |
| 2 | Xylem | 23.56 Bn | 19.05 Bn | 963.00 Mn | 65.00 Mn |
| 3 | Veralto | 23.10 Bn | 15.75 Bn | 902.00 Mn | 12.00 Mn |
| 4 | Badger Meter | 3.72 Bn | 2.99 Bn | 90.77 Mn | 2.84 Mn |
| 5 | Ceco Environmental | 3.11 Bn | 2.95 Bn | 86.47 Mn | 12.02 Mn |
| 6 | NWPX Infrastructure | 1.01 Bn | 971.46 Mn | 34.36 Mn | 4.54 Mn |
| 7 | Energy Recovery | 342.87 Mn | 18.03 Mn | 8.96 Mn | 1.00 Mn |
| 8 | Cadiz | 311.40 Mn | 279.84 Mn | -24,000.00 | - |
| 9 | AirJoule Technologies | 290.46 Mn | 170.08 Mn | - | 4,405.00 |
| 10 | Cyber Enviro-Tech | 1.61 Mn | 1.61 Mn | - | 671.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 671.00 |
| Mar 31, 2026 | 671.00 |
| Dec 31, 2025 | 18,434.00 |
| Sep 30, 2025 | 3,162.00 |
| Jun 30, 2025 | 3,161.00 |
| Mar 31, 2025 | 1,965.00 |
| Dec 31, 2024 | 28,212.00 |
| Sep 30, 2024 | 28,213.00 |
| Jun 30, 2024 | 28,212.00 |
| Mar 31, 2024 | 28,213.00 |
| Dec 31, 2023 | 26,758.00 |
| Sep 30, 2023 | 28,550.00 |
| Jun 30, 2023 | -463.00 |
| Mar 31, 2023 | 13,105.00 |
| Dec 31, 2022 | 13,028.00 |
| Sep 30, 2022 | 12,673.00 |
| Jun 30, 2022 | 10,911.00 |
| Mar 31, 2022 | 7,317.00 |
API Access
Cyber Enviro-Tech Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=CETI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=CETI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();