Vishay Precision (VPG) Liabilities and Shareholders Equity (2010 - 2026)
Vishay Precision (VPG) reported Liabilities and Shareholders Equity of $450.72 million for Q2 2026, down 3.2% from $465.55 million a year earlier and down 0.7% from the prior quarter.
Vishay Precision (VPG) Liabilities and Shareholders Equity (2010 - 2026) Analysis & Trends
At the end of FY2025, Vishay Precision posted Liabilities and Shareholders Equity of $455.89 million, up 1.1% from FY2024.
- Liabilities and Shareholders Equity has a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- By year, Liabilities and Shareholders Equity came in at $450.94 million in FY2024 (-4.4%), $471.57 million in FY2023 (-1.1%), $476.74 million in FY2022 (+3.2%) and $461.89 million in FY2021 (+14.9%).
- The Q2 2026 figure ranks as the lowest quarterly Liabilities and Shareholders Equity since Q3 2021.
- Year over year, Liabilities and Shareholders Equity gained in two of the last eight quarters, with an average decline of 1.6%.
- The high point for year-over-year Liabilities and Shareholders Equity in five years was Q4 2021 (growth of 14.9%); the low point was Q2 2024 (a decline of 5.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $453.84 million (Q1 2026), $455.89 million (Q4 2025) and $462.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Liabilities and Shareholders Equity (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 102.61 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 44.81 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 107.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 56.18 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 30.88 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 15.90 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 42.21 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 34.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 16.49 Bn |
| 10 | Vishay Precision | 1.86 Bn | 1.53 Bn | 32.44 Mn | 450.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 450.72 Mn |
| Apr 4, 2026 | 453.84 Mn |
| Dec 31, 2025 | 455.89 Mn |
| Sep 27, 2025 | 462.32 Mn |
| Jun 28, 2025 | 465.55 Mn |
| Mar 29, 2025 | 453.84 Mn |
| Dec 31, 2024 | 450.94 Mn |
| Sep 28, 2024 | 462.53 Mn |
| Jun 29, 2024 | 462.79 Mn |
| Mar 30, 2024 | 466.20 Mn |
| Dec 31, 2023 | 471.57 Mn |
| Sep 30, 2023 | 484.31 Mn |
| Jul 1, 2023 | 486.98 Mn |
| Apr 1, 2023 | 480.77 Mn |
| Dec 31, 2022 | 476.74 Mn |
| Oct 1, 2022 | 454.20 Mn |
| Jul 2, 2022 | 458.38 Mn |
| Apr 2, 2022 | 457.82 Mn |
| Dec 31, 2021 | 461.89 Mn |
| Oct 2, 2021 | 449.92 Mn |
Vishay Precision Liabilities and Shareholders Equity 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=liabilities-and-shareholders-equity&ticker=VPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-and-shareholders-equity", "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=liabilities-and-shareholders-equity&ticker=VPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();