Vishay Precision (VPG) Restructuring Costs (2013 - 2026)
Vishay Precision's Restructuring Costs was $800,000 in Q2 2026, up 300.0% from $200,000 a year earlier and up 78.2% from the prior quarter.
Vishay Precision (VPG) Restructuring Costs (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vishay Precision's Restructuring Costs was $2.16 million through Jul 4, 2026, up 140.3% year-over-year; for FY2025, it was $1.5 million, up 36.4% from FY2024.
- Restructuring Costs shows a four-year compound annual growth rate of 5.8% (FY2021 to FY2025).
- In earlier years, Restructuring Costs was $1.1 million in FY2024 (-31.3%), $1.6 million in FY2023 (+5.4%), $1.52 million in FY2022 (+26.7%) and $1.2 million in FY2021.
- Quarterly Restructuring Costs has moved between $100,000 (Q3 2024) and $1.2 million (Q3 2023) over five years.
- Compared with a year earlier, Restructuring Costs has increased for four straight quarters, with growth averaging 79.0% over the last seven quarters.
- The best year-over-year quarter for Restructuring Costs over five years was Q1 2024 (growth of 589.7%); the worst was Q3 2024 (a decline of 91.7%).
- Per Business Quant data, VPG's Restructuring Costs in the three quarters before Q2 2026 was $449,000 (Q1 2026), $700,000 (Q4 2025) and $214,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Vishay Precision | 1.86 Bn | 1.53 Bn | 32.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 800,000.00 |
| Apr 4, 2026 | 449,000.00 |
| Dec 31, 2025 | 700,000.00 |
| Sep 27, 2025 | 214,000.00 |
| Jun 28, 2025 | 200,000.00 |
| Mar 29, 2025 | 400,000.00 |
| Dec 31, 2024 | 200,000.00 |
| Sep 28, 2024 | 100,000.00 |
| Mar 30, 2024 | 800,000.00 |
| Dec 31, 2023 | 169,000.00 |
| Sep 30, 2023 | 1.20 Mn |
| Jul 1, 2023 | 200,000.00 |
| Apr 1, 2023 | 116,000.00 |
| Dec 31, 2022 | 188,000.00 |
| Oct 1, 2022 | 200,000.00 |
| Jul 2, 2022 | 904,000.00 |
| Apr 2, 2022 | 300,000.00 |
| Jul 3, 2021 | 1.20 Mn |
| Dec 31, 2020 | -713,000.00 |
| Sep 26, 2020 | 100,000.00 |
Vishay Precision Restructuring Costs 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=restructuring-costs&ticker=VPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=VPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();