Liquidmetal Technologies (LQMT) Depreciation and Depletion (2016 - 2026)
Liquidmetal Technologies' Depreciation and Depletion was $119,000 in Q2 2026, up 54.5% from $77,000 a year earlier and up 28.0% from the prior quarter.
Liquidmetal Technologies (LQMT) Depreciation and Depletion (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Liquidmetal Technologies' Depreciation and Depletion was $523,000 through Jun 30, 2026, up 68.7% year-over-year; for FY2025, it was $311,000, up 0.3% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $310,000 in FY2024 (-7.5%), $335,000 in FY2023 (+6.3%), $315,000 in FY2022 (-1.3%) and $319,000 in FY2021 (-0.6%).
- Quarterly Depreciation and Depletion has moved between $77,000 (Q2 2024) and $233,000 (Q4 2025) over five years.
- Compared with a year earlier, Depreciation and Depletion has increased for three straight quarters, with growth averaging 31.6% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q4 2025 (growth of 202.6%); the worst was Q4 2024 (a decline of 23.8%).
- Per Business Quant data, LQMT's Depreciation and Depletion in the three quarters before Q2 2026 was $93,000 (Q1 2026), $233,000 (Q4 2025) and $78,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 153.11 Bn | 131.97 Bn | 2.90 Bn | - |
| 3 | Rio Tinto | 136.52 Bn | 97.02 Bn | - | - |
| 4 | Newmont | 118.43 Bn | 83.75 Bn | 4.22 Bn | - |
| 5 | Freeport-Mcmoran | 92.71 Bn | 88.86 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 88.05 Bn | 77.68 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 64.72 Bn | 49.46 Bn | 2.90 Bn | 555.00 Mn |
| 8 | Nucor | 58.54 Bn | 49.08 Bn | 2.03 Bn | 320.00 Mn |
| 9 | ArcelorMittal | 45.80 Bn | 26.83 Bn | - | - |
| 10 | Liquidmetal Technologies | 73.38 Mn | 18.80 Mn | 89,000.00 | 119,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 119,000.00 |
| Mar 31, 2026 | 93,000.00 |
| Dec 31, 2025 | 233,000.00 |
| Sep 30, 2025 | 78,000.00 |
| Jun 30, 2025 | 77,000.00 |
| Mar 31, 2025 | 78,000.00 |
| Dec 31, 2024 | 77,000.00 |
| Sep 30, 2024 | 78,000.00 |
| Jun 30, 2024 | 77,000.00 |
| Mar 31, 2024 | 78,000.00 |
| Dec 31, 2023 | 101,000.00 |
| Sep 30, 2023 | 78,000.00 |
| Jun 30, 2023 | 78,000.00 |
| Mar 31, 2023 | 78,000.00 |
| Dec 31, 2022 | 79,000.00 |
| Sep 30, 2022 | 78,000.00 |
| Jun 30, 2022 | 79,000.00 |
| Mar 31, 2022 | 79,000.00 |
| Dec 31, 2021 | 80,000.00 |
| Sep 30, 2021 | 79,000.00 |
Liquidmetal Technologies Depreciation and Depletion 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=depreciation-and-depletion&ticker=LQMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=LQMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();