Vishay Precision (VPG) Accumulated Expenses (2010 - 2026)
Vishay Precision (VPG) reported Accumulated Expenses of $452,000 for Q2 2026, up 153.9% from $178,000 a year earlier.
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Analysis
Vishay Precision (VPG) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Vishay Precision posted Accumulated Expenses of $566,000, up 140.9% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of -47.2% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $235,000 in FY2024 (-99.0%), $22.43 million in FY2023 (+10.4%), $20.31 million in FY2022 (+15.4%) and $17.6 million in FY2021 (+27.1%).
- Five-year quarterly Accumulated Expenses spans a low of $37,000 in Q1 2026 and a high of $24.08 million in Q3 2023.
- Year over year, Accumulated Expenses gained in two of the last eight quarters, with an average decline of 14.2%.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2026 (growth of 153.9%); the low point was Q1 2026 (a decline of 99.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $37,000 (Q1 2026), $566,000 (Q4 2025) and $114,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 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 |
| 10 | Vishay Precision | 1.86 Bn | 1.53 Bn | 32.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 452,000.00 |
| Apr 4, 2026 | 37,000.00 |
| Dec 31, 2025 | 566,000.00 |
| Sep 27, 2025 | 114,000.00 |
| Jun 28, 2025 | 178,000.00 |
| Mar 29, 2025 | 21.35 Mn |
| Dec 31, 2024 | 235,000.00 |
| Sep 28, 2024 | 21.99 Mn |
| Jun 29, 2024 | 21.54 Mn |
| Mar 30, 2024 | 21.81 Mn |
| Dec 31, 2023 | 22.43 Mn |
| Sep 30, 2023 | 24.08 Mn |
| Jul 1, 2023 | 22.66 Mn |
| Apr 1, 2023 | 22.36 Mn |
| Dec 31, 2022 | 20.31 Mn |
| Oct 1, 2022 | 21.86 Mn |
| Jul 2, 2022 | 23.56 Mn |
| Apr 2, 2022 | 20.87 Mn |
| Dec 31, 2021 | 17.60 Mn |
| Oct 2, 2021 | 19.29 Mn |
API Access
Vishay Precision Accumulated 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=accumulated-expenses&ticker=VPG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();