Liqtech International (LIQT) Return on Assets [ROA] (2010 - 2026)
Liqtech International's Return on Assets [ROA] was -31.35% in Q2 2026, up 1.32 percentage points from -32.67% a year earlier and up 2.99 percentage points from the prior quarter.
Liqtech International (LIQT) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2025, Return on Assets [ROA] at Liqtech International came in at -28.81%, up 1.44 percentage points from FY2024.
- Return on Assets [ROA] shows a five-year change of -4.54 percentage points (FY2020 to FY2025).
- In earlier years, Return on Assets [ROA] was -30.25% in FY2024 (-7.72 pp), -22.53% in FY2023 (+10.74 pp), -33.27% in FY2022 (-7.77 pp) and -25.50% in FY2021 (-1.22 pp).
- Quarterly Return on Assets [ROA] has moved between -36.83% (Q3 2024) and -20.29% (Q3 2023) over five years.
- Compared with a year earlier, Return on Assets [ROA] was higher in three of the last eight quarters, with an average year-over-year change of -3.10 percentage points.
- The best year-over-year quarter for Return on Assets [ROA] over five years was Q2 2023 (a gain of 16.15 percentage points); the worst was Q3 2024 (a drop of 16.54 percentage points).
- Per Business Quant data, LIQT's Return on Assets [ROA] in the three quarters before Q2 2026 was -34.34% (Q1 2026), -29.88% (Q4 2025) and -28.97% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.84 Bn | 78.85 Bn | 2.07 Bn | 6.88% |
| 2 | Veralto | 28.78 Bn | 21.41 Bn | 908.00 Mn | 11.94% |
| 3 | Xylem | 22.22 Bn | 18.19 Bn | 907.00 Mn | 6.18% |
| 4 | Badger Meter | 4.49 Bn | 3.89 Bn | 98.85 Mn | 13.03% |
| 5 | Ceco Environmental | 3.04 Bn | 2.84 Bn | 130.10 Mn | -0.86% |
| 6 | NWPX Infrastructure | 868.49 Mn | 826.57 Mn | 38.19 Mn | 7.94% |
| 7 | Energy Recovery | 373.27 Mn | 35.71 Mn | 4.20 Mn | 2.64% |
| 8 | Cadiz | 280.26 Mn | 245.37 Mn | -24,000.00 | -26.21% |
| 9 | AirJoule Technologies | 174.57 Mn | 54.19 Mn | - | -28.11% |
| 10 | Liqtech International | 6.24 Mn | -24.68 Mn | 365,539.00 | -31.35% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -31.35% |
| Mar 31, 2026 | -34.34% |
| Dec 31, 2025 | -29.88% |
| Sep 30, 2025 | -28.97% |
| Jun 30, 2025 | -32.67% |
| Mar 31, 2025 | -32.16% |
| Dec 31, 2024 | -33.83% |
| Sep 30, 2024 | -36.83% |
| Jun 30, 2024 | -30.45% |
| Mar 31, 2024 | -25.45% |
| Dec 31, 2023 | -23.54% |
| Sep 30, 2023 | -20.29% |
| Jun 30, 2023 | -20.67% |
| Mar 31, 2023 | -32.49% |
| Dec 31, 2022 | -35.31% |
| Sep 30, 2022 | -34.26% |
| Jun 30, 2022 | -36.82% |
| Mar 31, 2022 | -29.04% |
| Dec 31, 2021 | -23.81% |
| Sep 30, 2021 | -24.32% |
Liqtech International Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=LIQT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=LIQT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();