Valens Semiconductor (VLN) Property, Plant & Equipment (Net) (2020 - 2026)
Valens Semiconductor (VLN) reported Property, Plant & Equipment (Net) of $2.51 million for Q2 2026, down 24.9% from $3.35 million a year earlier and down 9.4% from the prior quarter.
Valens Semiconductor (VLN) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Valens Semiconductor posted Property, Plant & Equipment (Net) of $2.9 million, down 18.4% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $3.56 million in FY2024 (+20.3%), $2.95 million in FY2023 (+5.9%), $2.79 million in FY2022 (+1.8%) and $2.74 million in FY2021 (+16.5%).
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q3 2021.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last three quarters, with growth averaging 2.3% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q1 2025 (growth of 27.7%); the low point was Q2 2026 (a decline of 24.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.78 million (Q1 2026), $2.9 million (Q4 2025) and $3.08 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 | Valens Semiconductor | 196.83 Mn | -98.03 Mn | 11.14 Mn | 2.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.51 Mn |
| Mar 31, 2026 | 2.78 Mn |
| Dec 31, 2025 | 2.90 Mn |
| Sep 30, 2025 | 3.08 Mn |
| Jun 30, 2025 | 3.35 Mn |
| Mar 31, 2025 | 3.50 Mn |
| Dec 31, 2024 | 3.56 Mn |
| Sep 30, 2024 | 2.89 Mn |
| Jun 30, 2024 | 2.67 Mn |
| Mar 31, 2024 | 2.74 Mn |
| Dec 31, 2023 | 2.95 Mn |
| Sep 30, 2023 | 2.82 Mn |
| Jun 30, 2023 | 3.08 Mn |
| Mar 31, 2023 | 3.01 Mn |
| Dec 31, 2022 | 2.79 Mn |
| Sep 30, 2022 | 2.59 Mn |
| Jun 30, 2022 | 2.57 Mn |
| Mar 31, 2022 | 2.79 Mn |
| Dec 31, 2021 | 2.74 Mn |
| Sep 30, 2021 | 2.15 Mn |
Valens 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=VLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "VLN", "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=VLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();