Vishay Precision (VPG) Inventory (2010 - 2026)
Vishay Precision (VPG) reported Inventory of $84.21 million for Q2 2026, down 2.5% from $86.33 million a year earlier but up 1.6% from the prior quarter.
Vishay Precision (VPG) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Vishay Precision posted Inventory of $82.82 million, down 1.6% from FY2024.
- Inventory has a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- By year, Inventory came in at $84.16 million in FY2024 (-4.5%), $88.14 million in FY2023 (+4.1%), $84.66 million in FY2022 (+10.8%) and $76.43 million in FY2021 (+22.6%).
- Five-year quarterly Inventory spans a low of $76.43 million in Q4 2021 and a high of $90.41 million in Q3 2023.
- Year over year, Inventory has now declined in each of the last eight quarters, with an average decline of 3.2% over the last eight quarters.
- The high point for year-over-year Inventory in five years was Q1 2022 (growth of 23.5%); the low point was Q1 2025 (a decline of 6.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $82.89 million (Q1 2026), $82.82 million (Q4 2025) and $85.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Vishay Precision | 1.86 Bn | 1.53 Bn | 32.44 Mn | 84.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 84.21 Mn |
| Apr 4, 2026 | 82.89 Mn |
| Dec 31, 2025 | 82.82 Mn |
| Sep 27, 2025 | 85.96 Mn |
| Jun 28, 2025 | 86.33 Mn |
| Mar 29, 2025 | 83.94 Mn |
| Dec 31, 2024 | 84.16 Mn |
| Sep 28, 2024 | 88.30 Mn |
| Jun 29, 2024 | 90.10 Mn |
| Mar 30, 2024 | 89.67 Mn |
| Dec 31, 2023 | 88.14 Mn |
| Sep 30, 2023 | 90.41 Mn |
| Jul 1, 2023 | 89.42 Mn |
| Apr 1, 2023 | 87.43 Mn |
| Dec 31, 2022 | 84.66 Mn |
| Oct 1, 2022 | 85.32 Mn |
| Jul 2, 2022 | 84.34 Mn |
| Apr 2, 2022 | 79.40 Mn |
| Dec 31, 2021 | 76.43 Mn |
| Oct 2, 2021 | 78.49 Mn |
Vishay Precision Inventory 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=inventory&ticker=VPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=VPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();