ClearSign Technologies (CLIR) Total Liabilities (2011 - 2026)
ClearSign Technologies' Total Liabilities came in at $2.36 million for Q2 2026, down 38.3% from $3.82 million a year earlier but up 6.5% from the prior quarter.
ClearSign Technologies (CLIR) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, ClearSign Technologies' Total Liabilities was $2.65 million, up 5.2% from FY2024.
- Total Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $2.52 million in FY2024 (+3.8%), $2.43 million in FY2023 (+76.8%), $1.37 million in FY2022 (+27.0%) and $1.08 million in FY2021 (-31.6%).
- The five-year range for quarterly Total Liabilities is $1.07 million (Q3 2022) to $3.82 million (Q2 2025).
- Year-over-year, Total Liabilities increased in five of the last eight quarters, with growth averaging 13.5%.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2023 (growth of 186.0%), and the weakest in Q2 2024 (a decline of 40.2%).
- Business Quant data shows CLIR's Total Liabilities at $2.21 million (Q1 2026), $2.65 million (Q4 2025) and $3.67 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 80.74 Bn | 72.48 Bn | 1.95 Bn | 19.84 Bn |
| 2 | Veralto | 24.85 Bn | 17.49 Bn | 902.00 Mn | 5.46 Bn |
| 3 | Xylem | 24.79 Bn | 20.03 Bn | 963.00 Mn | 6.92 Bn |
| 4 | Badger Meter | 3.74 Bn | 3.01 Bn | 90.77 Mn | 315.29 Mn |
| 5 | Ceco Environmental | 2.47 Bn | 2.30 Bn | 86.47 Mn | 1.65 Bn |
| 6 | NWPX Infrastructure | 941.73 Mn | 903.20 Mn | 34.36 Mn | 233.30 Mn |
| 7 | Energy Recovery | 342.74 Mn | 17.91 Mn | 8.96 Mn | 25.26 Mn |
| 8 | Cadiz | 334.91 Mn | 303.35 Mn | -24,000.00 | 130.10 Mn |
| 9 | AirJoule Technologies | 213.04 Mn | 92.67 Mn | - | 58.20 Mn |
| 10 | ClearSign Technologies | 14.83 Mn | -22.46 Mn | 228,000.00 | 2.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.36 Mn |
| Mar 31, 2026 | 2.21 Mn |
| Dec 31, 2025 | 2.65 Mn |
| Sep 30, 2025 | 3.67 Mn |
| Jun 30, 2025 | 3.82 Mn |
| Mar 31, 2025 | 2.49 Mn |
| Dec 31, 2024 | 2.52 Mn |
| Sep 30, 2024 | 2.27 Mn |
| Jun 30, 2024 | 1.94 Mn |
| Mar 31, 2024 | 2.16 Mn |
| Dec 31, 2023 | 2.43 Mn |
| Sep 30, 2023 | 3.05 Mn |
| Jun 30, 2023 | 3.24 Mn |
| Mar 31, 2023 | 1.58 Mn |
| Dec 31, 2022 | 1.37 Mn |
| Sep 30, 2022 | 1.07 Mn |
| Jun 30, 2022 | 1.20 Mn |
| Mar 31, 2022 | 1.08 Mn |
| Dec 31, 2021 | 1.08 Mn |
| Sep 30, 2021 | 1.49 Mn |
ClearSign Technologies Total Liabilities 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=total-liabilities&ticker=CLIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CLIR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=CLIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();