Liquidmetal Technologies (LQMT) Selling, General & Administrative (2011 - 2026)
Liquidmetal Technologies (LQMT) recorded Selling, General & Administrative of $1.27 million in Q2 2026, up 37.1% from $926,000 a year earlier and up 4.8% from the prior quarter.
Liquidmetal Technologies (LQMT) Selling, General & Administrative (2011 - 2026) Analysis & Trends
On a TTM basis, Liquidmetal Technologies' Selling, General & Administrative came in at $4.54 million as of Jun 30, 2026, up 19.7% year-over-year; for FY2025, it came in at $3.96 million, up 12.7% from FY2024.
- Annual Selling, General & Administrative has increased for three straight years, with a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $3.51 million in FY2024 (+9.2%), $3.21 million in FY2023 (+4.9%), $3.06 million in FY2022 (-26.3%) and $4.16 million in FY2021 (+9.5%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q3 2021.
- On a year-over-year basis, Selling, General & Administrative has increased for eight consecutive quarters, with growth averaging 21.8% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 49.9% in Q3 2021, against a decline of 54.7% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.21 million (Q1 2026), $1.1 million (Q4 2025) and $961,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 153.11 Bn | 131.97 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Rio Tinto | 136.52 Bn | 97.02 Bn | - | - |
| 4 | Newmont | 118.43 Bn | 83.75 Bn | 4.22 Bn | 82.00 Mn |
| 5 | Freeport-Mcmoran | 92.71 Bn | 88.86 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 88.05 Bn | 77.68 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 64.72 Bn | 49.46 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 58.54 Bn | 49.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 45.80 Bn | 26.83 Bn | - | - |
| 10 | Liquidmetal Technologies | 73.38 Mn | 18.80 Mn | 89,000.00 | 1.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.27 Mn |
| Mar 31, 2026 | 1.21 Mn |
| Dec 31, 2025 | 1.10 Mn |
| Sep 30, 2025 | 961,000.00 |
| Jun 30, 2025 | 926,000.00 |
| Mar 31, 2025 | 975,000.00 |
| Dec 31, 2024 | 987,000.00 |
| Sep 30, 2024 | 904,000.00 |
| Jun 30, 2024 | 857,000.00 |
| Mar 31, 2024 | 763,000.00 |
| Dec 31, 2023 | 710,000.00 |
| Sep 30, 2023 | 746,000.00 |
| Jun 30, 2023 | 952,000.00 |
| Mar 31, 2023 | 806,000.00 |
| Dec 31, 2022 | 745,000.00 |
| Sep 30, 2022 | 744,000.00 |
| Jun 30, 2022 | 771,000.00 |
| Mar 31, 2022 | 805,000.00 |
| Dec 31, 2021 | 788,000.00 |
| Sep 30, 2021 | 1.64 Mn |
Liquidmetal Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=LQMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LQMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();