Aqua Metals (AQMS) Amortizatization of Intangibles (2015 - 2025)
Aqua Metals (AQMS) posted Amortizatization of Intangibles of $17,000 for Q4 2025, down 5.6% from $18,000 a year earlier and unchanged from the prior quarter.
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Analysis
Aqua Metals (AQMS) Amortizatization of Intangibles (2015 - 2025) Analysis & Trends
For FY2025, Aqua Metals' Amortizatization of Intangibles came in at $70,000, down 48.1% from FY2024.
- Annual Amortizatization of Intangibles shows a five-year compound annual growth rate of -18.9% (FY2020 to FY2025).
- In prior years, Aqua Metals' Amortizatization of Intangibles was $135,000 in FY2024 (-25.0%), $180,000 in FY2023 (+0.6%), $179,000 in FY2022 (-10.5%) and $200,000 in FY2021 (unchanged).
- Quarterly Amortizatization of Intangibles has run from a low of $17,000 in Q3 2025 to a high of $65,000 in Q4 2021 over five years.
- On a year-over-year basis, Amortizatization of Intangibles has declined in each of the last six quarters, with an average decline of 32.8% over the last eight quarters.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q4 2023, with growth of 2.3%; the weakest was Q4 2024, with a decline of 60.0%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $17,000 (Q3 2025), $18,000 (Q2 2025) and $18,000 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | - |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | - |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | - |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 63.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Aqua Metals | 8.26 Mn | 8.26 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 17,000.00 |
| Sep 30, 2025 | 17,000.00 |
| Jun 30, 2025 | 18,000.00 |
| Mar 31, 2025 | 18,000.00 |
| Dec 31, 2024 | 18,000.00 |
| Sep 30, 2024 | 27,000.00 |
| Jun 30, 2024 | 45,000.00 |
| Mar 31, 2024 | 45,000.00 |
| Dec 31, 2023 | 45,000.00 |
| Sep 30, 2023 | 45,000.00 |
| Jun 30, 2023 | 45,000.00 |
| Mar 31, 2023 | 45,000.00 |
| Dec 31, 2022 | 44,000.00 |
| Sep 30, 2022 | 45,000.00 |
| Jun 30, 2022 | 45,000.00 |
| Mar 31, 2022 | 45,000.00 |
| Dec 31, 2021 | 65,000.00 |
| Sep 30, 2021 | 45,000.00 |
| Jun 30, 2021 | 45,000.00 |
| Mar 31, 2021 | 45,000.00 |
API Access
Aqua Metals Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=AQMS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "AQMS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=AQMS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();