Navitas Semiconductor (NVTS) Amortization - Intangibles (2022 - 2026)
Navitas Semiconductor (NVTS) recorded Amortization - Intangibles of $3.2 million in Q3 2026, down 32.4% from $4.74 million a year earlier and down 32.3% 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 $17.41 million as of Sep 30, 2026, down 7.7% 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.
- The Q3 2026 figure is the lowest quarterly Amortization - Intangibles since Q3 2022.
- On a year-over-year basis, Amortization - Intangibles rose in two of the last eight quarters, with an average decline of 4.4%.
- 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 32.4% in Q3 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.73 million (Q2 2026), $4.73 million (Q1 2026) and $4.73 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Navitas Semiconductor | 2.35 Bn | 799.61 Mn | 5.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.20 Mn |
| 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();