Vishay Precision (VPG) EBITDA (2010 - 2026)
Vishay Precision's EBITDA came in at $3.78 million for Q2 2026, down 42.4% from $6.56 million a year earlier and down 16.9% from the prior quarter.
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Analysis
Vishay Precision (VPG) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 4, 2026, Vishay Precision reported EBITDA of $27.56 million, up 22.4% year-over-year; for FY2025, it was $29.77 million, down 8.9% from FY2024.
- EBITDA has declined in each of the last three years, with a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- Going back by year, EBITDA was $32.67 million in FY2024 (-43.2%), $57.5 million in FY2023 (-2.8%), $59.15 million in FY2022 (+39.6%) and $42.37 million in FY2021 (+20.5%).
- The Q2 2026 figure represents the lowest quarterly EBITDA since Q1 2016.
- Year-over-year, EBITDA increased in three of the last eight quarters, with an average decline of 16.4%.
- The fastest year-over-year change in EBITDA over five years came in Q3 2025 (growth of 82.5%), and the weakest in Q4 2024 (a decline of 73.5%).
- Business Quant data shows VPG's EBITDA at $4.55 million (Q1 2026), $5.08 million (Q4 2025) and $14.15 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Vishay Precision | 1.86 Bn | 1.53 Bn | 32.44 Mn | 3.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 3.78 Mn |
| Apr 4, 2026 | 4.55 Mn |
| Dec 31, 2025 | 5.08 Mn |
| Sep 27, 2025 | 14.15 Mn |
| Jun 28, 2025 | 6.56 Mn |
| Mar 29, 2025 | 3.98 Mn |
| Dec 31, 2024 | 4.23 Mn |
| Sep 28, 2024 | 7.75 Mn |
| Jun 29, 2024 | 9.82 Mn |
| Mar 30, 2024 | 10.86 Mn |
| Dec 31, 2023 | 16.00 Mn |
| Sep 30, 2023 | 12.06 Mn |
| Jul 1, 2023 | 15.66 Mn |
| Apr 1, 2023 | 13.78 Mn |
| Dec 31, 2022 | 16.88 Mn |
| Oct 1, 2022 | 15.78 Mn |
| Jul 2, 2022 | 14.35 Mn |
| Apr 2, 2022 | 12.14 Mn |
| Dec 31, 2021 | 12.71 Mn |
| Oct 2, 2021 | 11.19 Mn |
API Access
Vishay Precision EBITDA 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=ebitda&ticker=VPG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=VPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();