Liqtech International (LIQT) Shares Outstanding (2009 - 2026)
Liqtech International (LIQT) recorded Weighted Average Shares Outstanding of 20.81 million in Q2 2026, up 116.6% from 9.61 million a year earlier and up 111.3% from the prior quarter.
Liqtech International (LIQT) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Liqtech International reported Weighted Average Shares Outstanding of 9.61 million, up 52.4% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for nine straight years, with a five-year compound annual growth rate of 29.4% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 6.31 million in FY2024 (+10.9%), 5.69 million in FY2023 (+28.6%), 4.42 million in FY2022 (+64.1%) and 2.7 million in FY2021 (+1.7%).
- The Q2 2026 figure is the highest quarterly Weighted Average Shares Outstanding in data going back to Q3 2010.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for 17 consecutive quarters, with growth averaging 47.6% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 116.6% in Q2 2026, against a decline of 1.5% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 9.85 million (Q1 2026), 9.61 million (Q4 2025) and 9.62 million (Q3 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 | Liqtech International | 6.24 Mn | -24.68 Mn | 365,539.00 | 20.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.81 Mn |
| Mar 31, 2026 | 9.85 Mn |
| Dec 31, 2025 | 9.61 Mn |
| Sep 30, 2025 | 9.62 Mn |
| Jun 30, 2025 | 9.61 Mn |
| Mar 31, 2025 | 9.60 Mn |
| Dec 31, 2024 | 6.31 Mn |
| Sep 30, 2024 | 5.82 Mn |
| Jun 30, 2024 | 5.81 Mn |
| Mar 31, 2024 | 5.80 Mn |
| Dec 31, 2023 | 5.69 Mn |
| Sep 30, 2023 | 5.71 Mn |
| Jun 30, 2023 | 5.66 Mn |
| Mar 31, 2023 | 5.65 Mn |
| Dec 31, 2022 | 4.42 Mn |
| Sep 30, 2022 | 5.49 Mn |
| Jun 30, 2022 | 4.01 Mn |
| Mar 31, 2022 | 2.67 Mn |
| Dec 31, 2021 | 2.70 Mn |
| Sep 30, 2021 | 2.69 Mn |
Liqtech International 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=LIQT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "LIQT", "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=LIQT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();