Fuel Tech (FTEK) Shares Outstanding (Diluted) (2010 - 2026)
Fuel Tech (FTEK) reported Shares Outstanding (Diluted) of 31.18 million for Q2 2026, up 1.0% from 30.87 million a year earlier and up 0.3% from the prior quarter.
Fuel Tech (FTEK) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Fuel Tech posted Shares Outstanding (Diluted) of 30.94 million, up 1.2% from FY2024.
- Shares Outstanding (Diluted) has increased for 12 consecutive years, with a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 30.57 million in FY2024 (+0.7%), 30.35 million in FY2023 (+0.2%), 30.29 million in FY2022 (+2.0%) and 29.69 million in FY2021 (+20.3%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 29.69 million in Q4 2021 and a high of 31.29 million in Q3 2025.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last five quarters, with growth averaging 0.9% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q3 2021 (growth of 20.8%); the low point was Q1 2025 (a decline of 0.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 31.09 million (Q1 2026), 30.94 million (Q4 2025) and 31.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | 282.20 Mn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 236.60 Mn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 245.80 Mn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | 29.14 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | 43.31 Mn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | 9.79 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | 51.46 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | 34,188.00 |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | 69.74 Mn |
| 10 | Fuel Tech | 50.57 Mn | -41.36 Mn | 2.68 Mn | 31.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.18 Mn |
| Mar 31, 2026 | 31.09 Mn |
| Dec 31, 2025 | 30.94 Mn |
| Sep 30, 2025 | 31.29 Mn |
| Jun 30, 2025 | 30.87 Mn |
| Mar 31, 2025 | 30.72 Mn |
| Dec 31, 2024 | 30.57 Mn |
| Sep 30, 2024 | 30.85 Mn |
| Jun 30, 2024 | 30.48 Mn |
| Mar 31, 2024 | 30.76 Mn |
| Dec 31, 2023 | 30.35 Mn |
| Sep 30, 2023 | 30.63 Mn |
| Jun 30, 2023 | 30.32 Mn |
| Mar 31, 2023 | 30.30 Mn |
| Dec 31, 2022 | 30.29 Mn |
| Sep 30, 2022 | 30.37 Mn |
| Jun 30, 2022 | 30.30 Mn |
| Mar 31, 2022 | 30.27 Mn |
| Dec 31, 2021 | 29.69 Mn |
| Sep 30, 2021 | 30.34 Mn |
Fuel 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=FTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "FTEK", "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=FTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();