Liquidmetal Technologies (LQMT) Return on Sales [ROS] (2011 - 2026)
Liquidmetal Technologies (LQMT) reported Return on Sales [ROS] of -604.59% for Q2 2026, down 309.78 percentage points from -294.81% a year earlier and down 160.06 percentage points from the prior quarter.
Liquidmetal Technologies (LQMT) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Liquidmetal Technologies' Return on Sales [ROS] came in at -648.27%, down 300.73 percentage points year-over-year; for FY2025, it came in at -477.30%, down 92.06 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -122.90 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -385.23% in FY2024 (+219.67 pp), -604.90% in FY2023 (+191.96 pp), -796.87% in FY2022 (-296.13 pp) and -500.74% in FY2021 (-146.34 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -4222.22% in Q3 2022 and a high of -218.53% in Q4 2023.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of -332.70 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2023 (a gain of 3660.80 percentage points); the low point was Q3 2022 (a drop of 3835.52 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -444.53% (Q1 2026), -592.61% (Q4 2025) and -2554.05% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 133.06 Bn | - | - |
| 2 | Southern Copper | 154.30 Bn | 133.16 Bn | 2.90 Bn | 61.16% |
| 3 | Rio Tinto | 135.37 Bn | 95.87 Bn | - | - |
| 4 | Newmont | 113.13 Bn | 78.45 Bn | 4.22 Bn | 16.03% |
| 5 | Freeport-Mcmoran | 93.66 Bn | 89.81 Bn | 2.19 Bn | 28.50% |
| 6 | Agnico Eagle Mines | 86.95 Bn | 76.58 Bn | 2.43 Bn | 60.65% |
| 7 | Barrick Mining | 63.88 Bn | 48.62 Bn | 2.90 Bn | 51.63% |
| 8 | Nucor | 58.56 Bn | 49.10 Bn | 2.03 Bn | 15.67% |
| 9 | ArcelorMittal | 45.28 Bn | 26.31 Bn | - | 6.29% |
| 10 | Liquidmetal Technologies | 73.38 Mn | 18.80 Mn | 89,000.00 | -604.59% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -604.59% |
| Mar 31, 2026 | -444.53% |
| Dec 31, 2025 | -592.61% |
| Sep 30, 2025 | -2,554.05% |
| Jun 30, 2025 | -294.81% |
| Mar 31, 2025 | -319.50% |
| Dec 31, 2024 | -732.56% |
| Sep 30, 2024 | -263.61% |
| Jun 30, 2024 | -333.47% |
| Mar 31, 2024 | -420.81% |
| Dec 31, 2023 | -218.53% |
| Sep 30, 2023 | -561.42% |
| Jun 30, 2023 | -1,405.97% |
| Mar 31, 2023 | -2,683.33% |
| Dec 31, 2022 | -974.03% |
| Sep 30, 2022 | -4,222.22% |
| Jun 30, 2022 | -597.60% |
| Mar 31, 2022 | -487.73% |
| Dec 31, 2021 | -898.89% |
| Sep 30, 2021 | -386.70% |
Liquidmetal Technologies Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=LQMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LQMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();