Cyber Enviro-Tech (CETI) Shares Outstanding (Diluted) (2022 - 2026)
Cyber Enviro-Tech's Shares Outstanding (Diluted) was 155.38 million in Q2 2026, up 34.1% from 115.9 million a year earlier and up 0.1% from the prior quarter.
Cyber Enviro-Tech (CETI) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Cyber Enviro-Tech came in at 115.06 million, up 24.4% from FY2024.
- Shares Outstanding (Diluted) shows a three-year compound annual growth rate of 2.1% (FY2022 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 92.52 million in FY2024 (-16.2%), 110.45 million in FY2023 (+2.2%) and 108.09 million in FY2022.
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) in data going back to Q1 2022.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for six straight quarters, with growth averaging 20.6% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q1 2025 (growth of 41.7%); the worst was Q1 2024 (a decline of 32.6%).
- Per Business Quant data, CETI's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 155.23 million (Q1 2026), 115.06 million (Q4 2025) and 118.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.01 Bn | 67.78 Bn | 1.95 Bn | 282.20 Mn |
| 2 | Xylem | 23.56 Bn | 19.05 Bn | 963.00 Mn | 236.60 Mn |
| 3 | Veralto | 23.10 Bn | 15.75 Bn | 902.00 Mn | 245.80 Mn |
| 4 | Badger Meter | 3.72 Bn | 2.99 Bn | 90.77 Mn | 29.14 Mn |
| 5 | Ceco Environmental | 3.11 Bn | 2.95 Bn | 86.47 Mn | 43.31 Mn |
| 6 | NWPX Infrastructure | 1.01 Bn | 971.46 Mn | 34.36 Mn | 9.79 Mn |
| 7 | Energy Recovery | 342.87 Mn | 18.03 Mn | 8.96 Mn | 51.46 Mn |
| 8 | Cadiz | 311.40 Mn | 279.84 Mn | -24,000.00 | 34,188.00 |
| 9 | AirJoule Technologies | 290.46 Mn | 170.08 Mn | - | 69.74 Mn |
| 10 | Cyber Enviro-Tech | 1.61 Mn | 1.61 Mn | - | 155.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.38 Mn |
| Mar 31, 2026 | 155.23 Mn |
| Dec 31, 2025 | 115.06 Mn |
| Sep 30, 2025 | 118.45 Mn |
| Jun 30, 2025 | 115.90 Mn |
| Mar 31, 2025 | 110.76 Mn |
| Dec 31, 2024 | 92.52 Mn |
| Sep 30, 2024 | 98.46 Mn |
| Jun 30, 2024 | 83.68 Mn |
| Mar 31, 2024 | 78.16 Mn |
| Dec 31, 2023 | 110.45 Mn |
| Sep 30, 2023 | 120.47 Mn |
| Jun 30, 2023 | 116.53 Mn |
| Mar 31, 2023 | 115.94 Mn |
| Dec 31, 2022 | 108.09 Mn |
| Sep 30, 2022 | 108.69 Mn |
| Jun 30, 2022 | 107.44 Mn |
| Mar 31, 2022 | 108.09 Mn |
Cyber Enviro-Tech Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=CETI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=CETI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();