Navitas Semiconductor (NVTS) Property, Plant & Equipment (Net) (2020 - 2026)
Navitas Semiconductor (NVTS) recorded Property, Plant & Equipment (Net) of $8.57 million in Q2 2026, down 41.0% from $14.52 million a year earlier and down 6.1% from the prior quarter.
Navitas Semiconductor (NVTS) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Navitas Semiconductor reported Property, Plant & Equipment (Net) of $9.78 million, down 36.6% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 68.4% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $15.42 million in FY2024 (+68.5%), $9.15 million in FY2023 (+40.1%), $6.53 million in FY2022 (+183.8%) and $2.3 million in FY2021 (+218.8%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since Q3 2023.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for three consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 218.8% in Q4 2021, against a decline of 41.0% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.12 million (Q1 2026), $9.78 million (Q4 2025) and $14.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 14.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 136.14 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 3.14 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 56.43 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 3.44 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 9.19 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 105.74 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 2.96 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 5.61 Bn |
| 10 | Navitas Semiconductor | 3.24 Bn | 2.07 Bn | 4.08 Mn | 8.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.57 Mn |
| Mar 31, 2026 | 9.12 Mn |
| Dec 31, 2025 | 9.78 Mn |
| Sep 30, 2025 | 14.37 Mn |
| Jun 30, 2025 | 14.52 Mn |
| Mar 31, 2025 | 14.71 Mn |
| Dec 31, 2024 | 15.42 Mn |
| Sep 30, 2024 | 13.06 Mn |
| Jun 30, 2024 | 13.26 Mn |
| Mar 31, 2024 | 11.77 Mn |
| Dec 31, 2023 | 9.15 Mn |
| Sep 30, 2023 | 8.39 Mn |
| Jun 30, 2023 | 7.26 Mn |
| Mar 31, 2023 | 6.84 Mn |
| Dec 31, 2022 | 6.53 Mn |
| Sep 30, 2022 | 5.72 Mn |
| Jun 30, 2022 | 4.27 Mn |
| Mar 31, 2022 | 2.47 Mn |
| Dec 31, 2021 | 2.30 Mn |
| Dec 31, 2020 | 722,000.00 |
Navitas Semiconductor Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=NVTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=NVTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();