Liqtech International (LIQT) Cost of Revenue (2010 - 2026)
Liqtech International (LIQT) recorded Cost of Revenue of $4 million in Q2 2026, down 10.6% from $4.47 million a year earlier but up 6.8% from the prior quarter.
Liqtech International (LIQT) Cost of Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Liqtech International's Cost of Revenue came in at $14.03 million as of Jun 30, 2026, down 10.0% year-over-year; for FY2025, it came in at $15.26 million, up 6.3% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of -5.6% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $14.35 million in FY2024 (-5.7%), $15.23 million in FY2023 (-1.2%), $15.42 million in FY2022 (-7.7%) and $16.7 million in FY2021 (-18.1%).
- Quarterly Cost of Revenue has ranged from $2.69 million in Q3 2024 to $5.17 million in Q4 2021 over the past five years.
- On a year-over-year basis, Cost of Revenue has declined for three consecutive quarters, with an average decline of 3.3% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 31.8% in Q2 2022, against a decline of 34.8% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.74 million (Q1 2026), $3.23 million (Q4 2025) and $3.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn | 2.47 Bn |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn | 1.37 Bn |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn | 572.00 Mn |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn | 131.55 Mn |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn | 198.49 Mn |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn | 125.12 Mn |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn | 3.04 Mn |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 | 1.00 Mn |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - | - |
| 10 | Liqtech International | 10.82 Mn | -20.10 Mn | 365,539.00 | 4.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.00 Mn |
| Mar 31, 2026 | 3.74 Mn |
| Dec 31, 2025 | 3.23 Mn |
| Sep 30, 2025 | 3.06 Mn |
| Jun 30, 2025 | 4.47 Mn |
| Mar 31, 2025 | 4.49 Mn |
| Dec 31, 2024 | 3.93 Mn |
| Sep 30, 2024 | 2.69 Mn |
| Jun 30, 2024 | 3.77 Mn |
| Mar 31, 2024 | 3.96 Mn |
| Dec 31, 2023 | 3.66 Mn |
| Sep 30, 2023 | 4.12 Mn |
| Jun 30, 2023 | 3.83 Mn |
| Mar 31, 2023 | 3.62 Mn |
| Dec 31, 2022 | 3.96 Mn |
| Sep 30, 2022 | 3.20 Mn |
| Jun 30, 2022 | 4.87 Mn |
| Mar 31, 2022 | 3.39 Mn |
| Dec 31, 2021 | 5.17 Mn |
| Sep 30, 2021 | 3.95 Mn |
Liqtech International Cost of Revenue 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=cost-of-revenue&ticker=LIQT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LIQT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();