Navitas Semiconductor (NVTS) Amortization - Intangibles (2022 - 2026)
Navitas Semiconductor (NVTS) recorded Amortization - Intangibles of $4.73 million in Q2 2026, unchanged from $4.73 million a year earlier and unchanged from the prior quarter.
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Analysis
Navitas Semiconductor (NVTS) Amortization - Intangibles (2022 - 2026) Analysis & Trends
On a TTM basis, Navitas Semiconductor's Amortization - Intangibles came in at $18.94 million as of Jun 30, 2026, up 0.5% year-over-year; for FY2025, it was $18.94 million, up 0.1% from FY2024.
- Annual Amortization - Intangibles has increased for three straight years, with a four-year compound annual growth rate of 172.2% (FY2021 to FY2025).
- Across earlier years, Amortization - Intangibles came in at $18.93 million in FY2024 (+0.6%), $18.82 million in FY2023 (+172.2%), $6.91 million in FY2022 and $345,000 in FY2021.
- Quarterly Amortization - Intangibles has ranged from $100,000 in Q1 2022 to $4.8 million in Q1 2024 over the past five years.
- On a year-over-year basis, Amortization - Intangibles rose in two of the last eight quarters, with an average decline of 0.5%.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 114.2% in Q3 2023, against a decline of 2.4% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.73 million (Q1 2026), $4.73 million (Q4 2025) and $4.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Navitas Semiconductor | 3.24 Bn | 2.07 Bn | 4.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.73 Mn |
| Mar 31, 2026 | 4.73 Mn |
| Dec 31, 2025 | 4.73 Mn |
| Sep 30, 2025 | 4.74 Mn |
| Jun 30, 2025 | 4.73 Mn |
| Mar 31, 2025 | 4.73 Mn |
| Dec 31, 2024 | 4.66 Mn |
| Sep 30, 2024 | 4.72 Mn |
| Jun 30, 2024 | 4.77 Mn |
| Mar 31, 2024 | 4.80 Mn |
| Dec 31, 2023 | 4.77 Mn |
| Sep 30, 2023 | 4.80 Mn |
| Jun 30, 2023 | 4.80 Mn |
| Mar 31, 2023 | 4.50 Mn |
| Dec 31, 2022 | 4.50 Mn |
| Sep 30, 2022 | 2.24 Mn |
| Jun 30, 2022 | 100,000.00 |
| Mar 31, 2022 | 100,000.00 |
API Access
Navitas Semiconductor Amortization - 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=amortization-intangibles&ticker=NVTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "NVTS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=NVTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();