Navitas Semiconductor (NVTS) Other Operating Expenses (2021 - 2026)
Navitas Semiconductor (NVTS) posted Other Operating Expenses of $9.81 million for Q3 2026, down 16.4% from $11.73 million a year earlier and down 14.2% from the prior quarter.
Navitas Semiconductor (NVTS) Other Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Other Operating Expenses at Navitas Semiconductor was $47.82 million, up 47.9% year-over-year; for FY2025, it came in at $37.1 million, down 7.2% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 49.8% (FY2020 to FY2025).
- In prior years, Navitas Semiconductor's Other Operating Expenses was $39.97 million in FY2024 (+1.8%), $39.25 million in FY2023 (+25.7%), $31.24 million in FY2022 (+111.5%) and $14.77 million in FY2021 (+200.5%).
- The Q3 2026 figure stands as the lowest quarterly Other Operating Expenses since Q2 2025.
- On a year-over-year basis, Other Operating Expenses increased in five of the last eight quarters, with growth averaging 27.9%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q1 2022, with growth of 644.1%; the weakest was Q2 2025, with a decline of 63.9%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $11.44 million (Q2 2026), $13.94 million (Q1 2026) and $12.64 million (Q4 2025).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | -2.75 Mn |
| Jun 30, 2026 | -200.96 Bn |
| Mar 31, 2026 | -5.95 Mn |
| Dec 31, 2025 | 9.81 Mn |
| Sep 30, 2025 | 483,000.00 |
| Jun 30, 2025 | -27.15 Mn |
| Mar 31, 2025 | 8.84 Mn |
| Dec 31, 2024 | -5.37 Mn |
| Sep 30, 2024 | 10.37 Mn |
| Jun 30, 2024 | 8.87 Mn |
| Mar 31, 2024 | 27.96 Mn |
| Dec 31, 2023 | -6.29 Mn |
| Sep 30, 2023 | 36.19 Mn |
| Jun 30, 2023 | -31.40 Mn |
| Mar 31, 2023 | -26.84 Mn |
| Dec 31, 2022 | 10.34 Mn |
| Sep 30, 2022 | -5.53 Mn |
| Jun 30, 2022 | 54.12 Mn |
| Mar 31, 2022 | 114.79 Mn |
| Dec 31, 2021 | -84.13 Mn |
Navitas Semiconductor Other Operating Expenses 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=other-operating-expenses&ticker=NVTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=NVTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();