Navitas Semiconductor (NVTS) Intangibles (2020 - 2026)
Navitas Semiconductor's Intangibles was $43.79 million in Q2 2026, down 30.2% from $62.73 million a year earlier and down 9.8% from the prior quarter.
Powered by 
Analysis
Navitas Semiconductor (NVTS) Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Navitas Semiconductor came in at $53.26 million, down 26.2% from FY2024.
- Intangibles has now declined for three consecutive years, though with a five-year compound annual growth rate of 152.9% (FY2020 to FY2025).
- In earlier years, Intangibles was $72.2 million in FY2024 (-20.8%), $91.1 million in FY2023 (-13.7%), $105.62 million in FY2022 and $170,000 in FY2021 (-67.0%).
- The Q2 2026 figure marks the lowest quarterly Intangibles since Q2 2022.
- Compared with a year earlier, Intangibles has declined for 12 straight quarters, with an average decline of 24.4% over the last eight quarters.
- The year-over-year decline in Intangibles has ranged between 12.9% (Q3 2023) and 67.0% (Q4 2021) over the last five years.
- Per Business Quant data, NVTS's Intangibles in the three quarters before Q2 2026 was $48.52 million (Q1 2026), $53.26 million (Q4 2025) and $57.99 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 3.00 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 761.69 Mn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 26.33 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 473.00 Mn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 15.64 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 628.70 Mn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 2.55 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 | 315.00 Mn |
| 10 | Navitas Semiconductor | 3.24 Bn | 2.07 Bn | 4.08 Mn | 43.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.79 Mn |
| Mar 31, 2026 | 48.52 Mn |
| Dec 31, 2025 | 53.26 Mn |
| Sep 30, 2025 | 57.99 Mn |
| Jun 30, 2025 | 62.73 Mn |
| Mar 31, 2025 | 67.46 Mn |
| Dec 31, 2024 | 72.20 Mn |
| Sep 30, 2024 | 76.86 Mn |
| Jun 30, 2024 | 81.56 Mn |
| Mar 31, 2024 | 86.33 Mn |
| Dec 31, 2023 | 91.10 Mn |
| Sep 30, 2023 | 96.18 Mn |
| Jun 30, 2023 | 100.85 Mn |
| Mar 31, 2023 | 105.57 Mn |
| Dec 31, 2022 | 105.62 Mn |
| Sep 30, 2022 | 110.46 Mn |
| Jun 30, 2022 | 421,000.00 |
| Mar 31, 2022 | 82,000.00 |
| Dec 31, 2021 | 170,000.00 |
| Dec 31, 2020 | 515,000.00 |
API Access
Navitas Semiconductor 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=intangibles&ticker=NVTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=NVTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();