Vishay Precision (VPG) Property, Plant & Equipment (Net) (2010 - 2026)
Vishay Precision's Property, Plant & Equipment (Net) was $75.05 million in Q2 2026, down 3.0% from $77.34 million a year earlier and down 0.8% from the prior quarter.
Vishay Precision (VPG) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Vishay Precision came in at $76.08 million, down 4.3% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $79.5 million in FY2024 (-12.3%), $90.64 million in FY2023 (+4.0%), $87.13 million in FY2022 (+7.3%) and $81.22 million in FY2021 (+8.3%).
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q4 2020.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for seven straight quarters, with an average decline of 7.2% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q3 2021 (growth of 11.0%); the worst was Q4 2024 (a decline of 12.3%).
- Per Business Quant data, VPG's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $75.68 million (Q1 2026), $76.08 million (Q4 2025) and $76.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 1.18 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.88 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.24 Bn |
| 10 | Vishay Precision | 2.03 Bn | 1.69 Bn | 32.44 Mn | 75.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 75.05 Mn |
| Apr 4, 2026 | 75.68 Mn |
| Dec 31, 2025 | 76.08 Mn |
| Sep 27, 2025 | 76.57 Mn |
| Jun 28, 2025 | 77.34 Mn |
| Mar 29, 2025 | 78.00 Mn |
| Dec 31, 2024 | 79.50 Mn |
| Sep 28, 2024 | 86.79 Mn |
| Jun 29, 2024 | 87.18 Mn |
| Mar 30, 2024 | 88.53 Mn |
| Dec 31, 2023 | 90.64 Mn |
| Sep 30, 2023 | 86.71 Mn |
| Jul 1, 2023 | 87.13 Mn |
| Apr 1, 2023 | 86.99 Mn |
| Dec 31, 2022 | 87.13 Mn |
| Oct 1, 2022 | 82.49 Mn |
| Jul 2, 2022 | 81.95 Mn |
| Apr 2, 2022 | 79.90 Mn |
| Dec 31, 2021 | 81.22 Mn |
| Oct 2, 2021 | 76.31 Mn |
Vishay Precision 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=VPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "VPG", "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=VPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();