Vishay Precision (VPG) Interest Expenses (2010 - 2026)
Vishay Precision (VPG) posted Interest Expenses of $345,000 for Q2 2026, down 37.3% from $550,000 a year earlier but up 4.9% from the prior quarter.
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Analysis
Vishay Precision (VPG) Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, Interest Expenses at Vishay Precision was $1.51 million, down 35.3% year-over-year; for FY2025, it was $1.94 million, down 22.9% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In prior years, Vishay Precision's Interest Expenses was $2.51 million in FY2024 (-36.8%), $3.97 million in FY2023 (+75.1%), $2.27 million in FY2022 (+84.5%) and $1.23 million in FY2021 (-10.0%).
- Quarterly Interest Expenses has run from a low of $324,000 in Q4 2021 to a high of $1.12 million in Q3 2023 over five years.
- On a year-over-year basis, Interest Expenses has declined in each of the last 11 quarters, with an average decline of 29.5% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q1 2023, with growth of 203.0%; the weakest was Q3 2024, with a decline of 42.1%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $329,000 (Q1 2026), $412,000 (Q4 2025) and $425,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 497.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 661.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 17.40 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 79.00 Mn |
| 10 | Vishay Precision | 1.86 Bn | 1.53 Bn | 32.44 Mn | 345,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 345,000.00 |
| Apr 4, 2026 | 329,000.00 |
| Dec 31, 2025 | 412,000.00 |
| Sep 27, 2025 | 425,000.00 |
| Jun 28, 2025 | 550,000.00 |
| Mar 29, 2025 | 550,000.00 |
| Dec 31, 2024 | 587,000.00 |
| Sep 28, 2024 | 648,000.00 |
| Jun 29, 2024 | 649,000.00 |
| Mar 30, 2024 | 628,000.00 |
| Dec 31, 2023 | 779,000.00 |
| Sep 30, 2023 | 1.12 Mn |
| Jul 1, 2023 | 1.08 Mn |
| Apr 1, 2023 | 997,000.00 |
| Dec 31, 2022 | 876,000.00 |
| Oct 1, 2022 | 636,000.00 |
| Jul 2, 2022 | 428,000.00 |
| Apr 2, 2022 | 329,000.00 |
| Dec 31, 2021 | 324,000.00 |
| Oct 2, 2021 | 328,000.00 |
API Access
Vishay Precision Interest Expenses 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=interest-expenses&ticker=VPG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=VPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();