Vishay Precision (VPG) Capital Expenditures (2010 - 2026)
Vishay Precision's Capital Expenditures was $1.99 million in Q2 2026, up 58.5% from $1.25 million a year earlier but down 35.1% from the prior quarter.
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Analysis
Vishay Precision (VPG) Capital Expenditures (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vishay Precision's Capital Expenditures was $10.32 million through Jul 4, 2026, up 53.0% year-over-year; for FY2025, it was $8.03 million, down 12.4% from FY2024.
- Capital Expenditures has now declined for three consecutive years, with a five-year compound annual growth rate of -19.9% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $9.16 million in FY2024 (-39.5%), $15.15 million in FY2023 (-28.8%), $21.29 million in FY2022 (+24.8%) and $17.06 million in FY2021 (-29.9%).
- Quarterly Capital Expenditures has moved between $1.25 million (Q2 2025) and $6.73 million (Q3 2022) over five years.
- Compared with a year earlier, Capital Expenditures has increased for four straight quarters, with growth averaging 4.1% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2022 (growth of 133.5%); the worst was Q4 2024 (a decline of 58.6%).
- Per Business Quant data, VPG's Capital Expenditures in the three quarters before Q2 2026 was $3.06 million (Q1 2026), $3.08 million (Q4 2025) and $2.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 587.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 355.50 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 638.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 253.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 173.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 173.30 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 102.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 223.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 92.00 Mn |
| 10 | Vishay Precision | 1.86 Bn | 1.53 Bn | 32.44 Mn | 1.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 1.99 Mn |
| Apr 4, 2026 | 3.06 Mn |
| Dec 31, 2025 | 3.08 Mn |
| Sep 27, 2025 | 2.19 Mn |
| Jun 28, 2025 | 1.25 Mn |
| Mar 29, 2025 | 1.51 Mn |
| Dec 31, 2024 | 2.20 Mn |
| Sep 28, 2024 | 1.79 Mn |
| Jun 29, 2024 | 2.61 Mn |
| Mar 30, 2024 | 2.57 Mn |
| Dec 31, 2023 | 5.31 Mn |
| Sep 30, 2023 | 2.97 Mn |
| Jul 1, 2023 | 3.37 Mn |
| Apr 1, 2023 | 3.50 Mn |
| Dec 31, 2022 | 5.74 Mn |
| Oct 1, 2022 | 6.73 Mn |
| Jul 2, 2022 | 4.51 Mn |
| Apr 2, 2022 | 4.30 Mn |
| Dec 31, 2021 | 5.87 Mn |
| Oct 2, 2021 | 2.88 Mn |
API Access
Vishay Precision Capital Expenditures 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=capital-expenditures&ticker=VPG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=VPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();