Vishay Precision (VPG) Non-Current Assets (2010 - 2026)
Vishay Precision (VPG) reported Non-Current Assets of $206.47 million for Q2 2026, down 2.9% from $212.68 million a year earlier and down 0.6% from the prior quarter.
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Analysis
Vishay Precision (VPG) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Vishay Precision posted Non-Current Assets of $208.93 million, down 2.4% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $213.99 million in FY2024 (-6.4%), $228.5 million in FY2023 (+1.6%), $224.94 million in FY2022 (-0.9%) and $226.95 million in FY2021 (+26.1%).
- The Q2 2026 figure ranks as the lowest quarterly Non-Current Assets since Q1 2021.
- Year over year, Non-Current Assets has now declined in each of the last nine quarters, with an average decline of 3.8% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q3 2021 (growth of 26.6%); the low point was Q4 2024 (a decline of 6.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $207.75 million (Q1 2026), $208.93 million (Q4 2025) and $209.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 48.16 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 26.99 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 41.41 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 23.18 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 5.92 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 32.55 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 20.81 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 9.89 Bn |
| 10 | Vishay Precision | 1.86 Bn | 1.53 Bn | 32.44 Mn | 206.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 206.47 Mn |
| Apr 4, 2026 | 207.75 Mn |
| Dec 31, 2025 | 208.93 Mn |
| Sep 27, 2025 | 209.98 Mn |
| Jun 28, 2025 | 212.68 Mn |
| Mar 29, 2025 | 212.41 Mn |
| Dec 31, 2024 | 213.99 Mn |
| Sep 28, 2024 | 220.19 Mn |
| Jun 29, 2024 | 221.63 Mn |
| Mar 30, 2024 | 225.24 Mn |
| Dec 31, 2023 | 228.50 Mn |
| Sep 30, 2023 | 224.57 Mn |
| Jul 1, 2023 | 222.59 Mn |
| Apr 1, 2023 | 223.36 Mn |
| Dec 31, 2022 | 224.94 Mn |
| Oct 1, 2022 | 217.65 Mn |
| Jul 2, 2022 | 220.71 Mn |
| Apr 2, 2022 | 222.96 Mn |
| Dec 31, 2021 | 226.95 Mn |
| Oct 2, 2021 | 222.71 Mn |
API Access
Vishay Precision Non-Current Assets 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=non-current-assets&ticker=VPG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=VPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();