Fuel Tech (FTEK) Shares Outstanding (2009 - 2026)
Fuel Tech (FTEK) reported Weighted Average Shares Outstanding of 31.22 million for Q3 2026, up 0.5% from 31.07 million a year earlier and up 0.1% from the prior quarter.
Fuel Tech (FTEK) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Fuel Tech posted Weighted Average Shares Outstanding of 30.94 million, up 1.2% from FY2024.
- Weighted Average Shares Outstanding has increased for 12 consecutive years, with a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 30.57 million in FY2024 (+0.7%), 30.35 million in FY2023 (+0.2%), 30.29 million in FY2022 (+2.4%) and 29.59 million in FY2021 (+19.8%).
- The Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to Q2 2010.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 51 quarters, with growth averaging 1.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 0.1% in Q2 2023 to 19.8% in Q4 2021.
- Per Business Quant data, the three quarters before Q3 2026 came in at 31.18 million (Q2 2026), 31.09 million (Q1 2026) and 30.94 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.84 Bn | 78.85 Bn | 2.07 Bn | 280.40 Mn |
| 2 | Veralto | 28.78 Bn | 21.41 Bn | 908.00 Mn | 243.80 Mn |
| 3 | Xylem | 22.22 Bn | 18.19 Bn | 907.00 Mn | 232.72 Mn |
| 4 | Badger Meter | 4.49 Bn | 3.89 Bn | 98.85 Mn | 28.75 Mn |
| 5 | Ceco Environmental | 3.04 Bn | 2.84 Bn | 130.10 Mn | 58.55 Mn |
| 6 | NWPX Infrastructure | 868.49 Mn | 826.57 Mn | 38.19 Mn | 9.63 Mn |
| 7 | Energy Recovery | 373.27 Mn | 35.71 Mn | 4.20 Mn | 51.03 Mn |
| 8 | Cadiz | 280.26 Mn | 245.37 Mn | -24,000.00 | 84.15 Mn |
| 9 | AirJoule Technologies | 174.57 Mn | 54.19 Mn | - | 69.74 Mn |
| 10 | Fuel Tech | 42.77 Mn | -41.13 Mn | 3.91 Mn | 31.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.22 Mn |
| Jun 30, 2026 | 31.18 Mn |
| Mar 31, 2026 | 31.09 Mn |
| Dec 31, 2025 | 30.94 Mn |
| Sep 30, 2025 | 31.07 Mn |
| Jun 30, 2025 | 30.87 Mn |
| Mar 31, 2025 | 30.72 Mn |
| Dec 31, 2024 | 30.57 Mn |
| Sep 30, 2024 | 30.71 Mn |
| Jun 30, 2024 | 30.48 Mn |
| Mar 31, 2024 | 30.39 Mn |
| Dec 31, 2023 | 30.35 Mn |
| Sep 30, 2023 | 30.39 Mn |
| Jun 30, 2023 | 30.32 Mn |
| Mar 31, 2023 | 30.30 Mn |
| Dec 31, 2022 | 30.29 Mn |
| Sep 30, 2022 | 30.30 Mn |
| Jun 30, 2022 | 30.30 Mn |
| Mar 31, 2022 | 30.27 Mn |
| Dec 31, 2021 | 29.59 Mn |
Fuel Tech Shares Outstanding 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&ticker=FTEK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=FTEK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();