Navitas Semiconductor (NVTS) Research & Development (2021 - 2026)
Navitas Semiconductor's Research & Development came in at $15.09 million for Q3 2026, up 13.6% from $13.28 million a year earlier and up 14.7% from the prior quarter.
Navitas Semiconductor (NVTS) Research & Development (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Navitas Semiconductor reported Research & Development of $55.2 million, down 2.2% year-over-year; for FY2025, it came in at $49.83 million, down 34.4% from FY2024.
- Research & Development carries a five-year compound annual growth rate of 30.7% (FY2020 to FY2025).
- Going back by year, Research & Development was $76 million in FY2024 (+10.4%), $68.83 million in FY2023 (+36.8%), $50.32 million in FY2022 (+83.1%) and $27.48 million in FY2021 (+110.6%).
- The Q3 2026 figure represents the highest quarterly Research & Development since Q4 2024.
- Year-over-year, Research & Development has increased for three consecutive quarters, with an average decline of 11.1% over the last eight quarters.
- The fastest year-over-year change in Research & Development over five years came in Q1 2022 (growth of 213.2%), and the weakest in Q2 2025 (a decline of 39.4%).
- Business Quant data shows NVTS's Research & Development at $13.15 million (Q2 2026), $14.57 million (Q1 2026) and $12.39 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (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 | 2.78 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 7.05 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 2.90 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 1.91 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 2.80 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 3.49 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 1.13 Bn |
| 10 | Navitas Semiconductor | 2.35 Bn | 799.61 Mn | 5.51 Mn | 15.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.09 Mn |
| Jun 30, 2026 | 13.15 Mn |
| Mar 31, 2026 | 14.57 Mn |
| Dec 31, 2025 | 12.39 Mn |
| Sep 30, 2025 | 13.28 Mn |
| Jun 30, 2025 | 11.50 Mn |
| Mar 31, 2025 | 12.67 Mn |
| Dec 31, 2024 | 18.97 Mn |
| Sep 30, 2024 | 17.83 Mn |
| Jun 30, 2024 | 18.97 Mn |
| Mar 31, 2024 | 20.23 Mn |
| Dec 31, 2023 | 18.09 Mn |
| Sep 30, 2023 | 16.55 Mn |
| Jun 30, 2023 | 16.79 Mn |
| Mar 31, 2023 | 17.39 Mn |
| Dec 31, 2022 | 15.95 Mn |
| Sep 30, 2022 | 11.53 Mn |
| Jun 30, 2022 | 9.52 Mn |
| Mar 31, 2022 | 13.33 Mn |
| Dec 31, 2021 | 11.15 Mn |
Navitas Semiconductor Research & Development 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=research-and-development&ticker=NVTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=NVTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();