Nova (NVMI) Amortizatization of Intangibles (2015 - 2026)
Nova (NVMI) reported Amortizatization of Intangibles of $2.3 million for the quarter ended Jun 30, 2026, up 3.2% from $2.23 million a year earlier.
Nova (NVMI) Amortizatization of Intangibles (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Nova's Amortizatization of Intangibles came in at $8.65 million, up 27.6% year-over-year; for the year ended Dec 31, 2025, it was $8.9 million, up 57.7% from the prior year.
- Amortizatization of Intangibles has a five-year compound annual growth rate of 28.9% (years ended Dec 2020 to Dec 2025).
- By year, Amortizatization of Intangibles came in at $5.64 million in the year ended Dec 31, 2024 (-3.7%), $5.86 million in the year ended Dec 31, 2023 (-2.9%), $6.03 million in the year ended Dec 31, 2022 (+145.4%) and $2.46 million in the year ended Dec 31, 2021 (-1.8%).
- Five-year quarterly Amortizatization of Intangibles spans a low of $574,000 in the quarter ended Sep 30, 2021 and a high of $2.31 million in the quarter ended Sep 30, 2025.
- Year over year, Amortizatization of Intangibles gained in five of the last seven quarters, with growth averaging 24.0%.
- The high point for year-over-year Amortizatization of Intangibles in five years was the quarter ended Mar 31, 2022 (growth of 180.5%); the low point was the quarter ended Dec 31, 2024 (a decline of 13.3%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 2.04 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | - |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 544.00 Mn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | - |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 235.00 Mn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | - |
| 10 | Nova | 9.62 Bn | 6.78 Bn | 144.16 Mn | 2.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.30 Mn |
| Dec 31, 2025 | 1.82 Mn |
| Sep 30, 2025 | 2.31 Mn |
| Jun 30, 2025 | 2.23 Mn |
| Mar 31, 2025 | 1.82 Mn |
| Dec 31, 2024 | 1.27 Mn |
| Sep 30, 2024 | 1.47 Mn |
| Jun 30, 2024 | 1.44 Mn |
| Mar 31, 2024 | 1.47 Mn |
| Dec 31, 2023 | 1.46 Mn |
| Sep 30, 2023 | 1.48 Mn |
| Jun 30, 2023 | 1.48 Mn |
| Mar 31, 2023 | 1.44 Mn |
| Dec 31, 2022 | 1.46 Mn |
| Sep 30, 2022 | 1.44 Mn |
| Jun 30, 2022 | 1.51 Mn |
| Mar 31, 2022 | 1.61 Mn |
| Dec 31, 2021 | 735,000.00 |
| Sep 30, 2021 | 574,000.00 |
| Jun 30, 2021 | 574,000.00 |
Nova 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=NVMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "NVMI", "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=NVMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();