Vishay Precision (VPG) Total Current Liabilities (2010 - 2026)
Vishay Precision's Total Current Liabilities came in at $58.79 million for Q2 2026, up 1.2% from $58.11 million a year earlier and up 6.9% from the prior quarter.
Powered by 
Analysis
Vishay Precision (VPG) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Vishay Precision's Total Current Liabilities was $55.28 million, up 4.2% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $53.04 million in FY2024 (-13.9%), $61.62 million in FY2023 (-4.2%), $64.34 million in FY2022 (-0.5%) and $64.63 million in FY2021 (+35.9%).
- The five-year range for quarterly Total Current Liabilities is $53.04 million (Q4 2024) to $91.46 million (Q1 2024).
- Year-over-year, Total Current Liabilities has increased for four consecutive quarters, with an average decline of 9.9% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2024 (growth of 51.5%), and the weakest in Q1 2025 (a decline of 41.5%).
- Business Quant data shows VPG's Total Current Liabilities at $55.01 million (Q1 2026), $55.28 million (Q4 2025) and $61.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Vishay Precision | 1.86 Bn | 1.53 Bn | 32.44 Mn | 58.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 58.79 Mn |
| Apr 4, 2026 | 55.01 Mn |
| Dec 31, 2025 | 55.28 Mn |
| Sep 27, 2025 | 61.50 Mn |
| Jun 28, 2025 | 58.11 Mn |
| Mar 29, 2025 | 53.51 Mn |
| Dec 31, 2024 | 53.04 Mn |
| Sep 28, 2024 | 55.00 Mn |
| Jun 29, 2024 | 90.18 Mn |
| Mar 30, 2024 | 91.46 Mn |
| Dec 31, 2023 | 61.62 Mn |
| Sep 30, 2023 | 59.71 Mn |
| Jul 1, 2023 | 61.24 Mn |
| Apr 1, 2023 | 60.36 Mn |
| Dec 31, 2022 | 64.34 Mn |
| Oct 1, 2022 | 57.69 Mn |
| Jul 2, 2022 | 59.43 Mn |
| Apr 2, 2022 | 58.62 Mn |
| Dec 31, 2021 | 64.63 Mn |
| Oct 2, 2021 | 55.36 Mn |
API Access
Vishay Precision Total Current Liabilities 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=total-current-liabilities&ticker=VPG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=VPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();