Vishay Precision (VPG) Total Non-Current Liabilities (2010 - 2026)
Vishay Precision's Total Non-Current Liabilities came in at $103.19 million for Q2 2026, down 13.6% from $119.42 million a year earlier and down 2.1% from the prior quarter.
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Analysis
Vishay Precision (VPG) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Vishay Precision's Total Non-Current Liabilities was $105.32 million, down 8.3% from FY2024.
- Total Non-Current Liabilities has declined in each of the last four years, with a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $114.88 million in FY2024 (-9.4%), $126.87 million in FY2023 (-19.3%), $157.17 million in FY2022 (-6.8%) and $168.58 million in FY2021 (+31.9%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q3 2019.
- Year-over-year, Total Non-Current Liabilities has declined for 16 consecutive quarters, with an average decline of 9.4% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2021 (growth of 31.9%), and the weakest in Q3 2024 (a decline of 20.1%).
- Business Quant data shows VPG's Total Non-Current Liabilities at $105.45 million (Q1 2026), $105.32 million (Q4 2025) and $110.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Vishay Precision | 1.86 Bn | 1.53 Bn | 32.44 Mn | 103.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 103.19 Mn |
| Apr 4, 2026 | 105.45 Mn |
| Dec 31, 2025 | 105.32 Mn |
| Sep 27, 2025 | 110.40 Mn |
| Jun 28, 2025 | 119.42 Mn |
| Mar 29, 2025 | 114.73 Mn |
| Dec 31, 2024 | 114.88 Mn |
| Sep 28, 2024 | 117.72 Mn |
| Jun 29, 2024 | 121.87 Mn |
| Mar 30, 2024 | 124.29 Mn |
| Dec 31, 2023 | 126.87 Mn |
| Sep 30, 2023 | 147.25 Mn |
| Jul 1, 2023 | 152.11 Mn |
| Apr 1, 2023 | 152.83 Mn |
| Dec 31, 2022 | 157.17 Mn |
| Oct 1, 2022 | 153.74 Mn |
| Jul 2, 2022 | 158.87 Mn |
| Apr 2, 2022 | 160.70 Mn |
| Dec 31, 2021 | 168.58 Mn |
| Oct 2, 2021 | 164.30 Mn |
API Access
Vishay Precision Total Non-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-non-current-liabilities&ticker=VPG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=VPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();