Liquidmetal Technologies (LQMT) Total Liabilities (2010 - 2026)
Liquidmetal Technologies' Total Liabilities came in at $1.99 million for Q2 2026, up 41.3% from $1.41 million a year earlier but down 10.0% from the prior quarter.
Liquidmetal Technologies (LQMT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Liquidmetal Technologies' Total Liabilities was $2.03 million, up 61.0% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $1.26 million in FY2024 (+1.1%), $1.25 million in FY2023 (-3.9%), $1.3 million in FY2022 (-1.3%) and $1.31 million in FY2021 (-7.5%).
- The five-year range for quarterly Total Liabilities is $1.18 million (Q1 2024) to $2.21 million (Q1 2026).
- Year-over-year, Total Liabilities has increased for seven consecutive quarters, with growth averaging 25.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2026 (growth of 67.9%), and the weakest in Q3 2022 (a decline of 37.0%).
- Business Quant data shows LQMT's Total Liabilities at $2.21 million (Q1 2026), $2.03 million (Q4 2025) and $1.41 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 164.24 Bn | 143.03 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 141.58 Bn | 102.09 Bn | - | 61.08 Bn |
| 4 | Newmont | 124.17 Bn | 92.18 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 98.56 Bn | 82.60 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 93.87 Bn | 83.50 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 59.81 Bn | 49.19 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 48.19 Bn | 27.21 Bn | - | 44.33 Bn |
| 10 | Liquidmetal Technologies | 73.38 Mn | 18.80 Mn | 89,000.00 | 1.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.99 Mn |
| Mar 31, 2026 | 2.21 Mn |
| Dec 31, 2025 | 2.03 Mn |
| Sep 30, 2025 | 1.41 Mn |
| Jun 30, 2025 | 1.41 Mn |
| Mar 31, 2025 | 1.32 Mn |
| Dec 31, 2024 | 1.26 Mn |
| Sep 30, 2024 | 1.30 Mn |
| Jun 30, 2024 | 1.20 Mn |
| Mar 31, 2024 | 1.18 Mn |
| Dec 31, 2023 | 1.25 Mn |
| Sep 30, 2023 | 1.34 Mn |
| Jun 30, 2023 | 1.37 Mn |
| Mar 31, 2023 | 1.26 Mn |
| Dec 31, 2022 | 1.30 Mn |
| Sep 30, 2022 | 1.29 Mn |
| Jun 30, 2022 | 1.23 Mn |
| Mar 31, 2022 | 1.27 Mn |
| Dec 31, 2021 | 1.31 Mn |
| Sep 30, 2021 | 2.05 Mn |
Liquidmetal 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=LQMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "LQMT", "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=LQMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();