Vishay Precision (VPG) Return on Equity [ROE] (2011 - 2026)
Vishay Precision (VPG) posted Return on Equity [ROE] of 1.20% for Q2 2026, up 1.59 percentage points from -0.39% a year earlier but down 0.59 percentage points from the prior quarter.
Vishay Precision (VPG) Return on Equity [ROE] (2011 - 2026) Analysis & Trends
For FY2025, Vishay Precision's Return on Equity [ROE] came in at 1.62%, down 1.39 percentage points from FY2024.
- Annual Return on Equity [ROE] has declined for three consecutive years, with a five-year change of -2.70 percentage points (FY2020 to FY2025).
- In prior years, Vishay Precision's Return on Equity [ROE] was 3.02% in FY2024 (-5.16 pp), 8.17% in FY2023 (-4.35 pp), 12.53% in FY2022 (+4.88 pp) and 7.64% in FY2021 (+3.32 pp).
- Quarterly Return on Equity [ROE] has run from a low of -0.39% in Q2 2025 to a high of 12.33% in Q4 2022 over five years.
- On a year-over-year basis, Return on Equity [ROE] increased in two of the last eight quarters, with an average year-over-year change of -3.06 percentage points.
- The strongest year-over-year quarter for Return on Equity [ROE] in the past five years was Q3 2022, with a gain of 6.35 percentage points; the weakest was Q2 2025, with a drop of 6.85 percentage points.
- According to Business Quant data, Return on Equity [ROE] for the three prior quarters was 1.79% (Q1 2026), 1.58% (Q4 2025) and 2.38% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 56.98% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 34.94% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 17.59% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 19.13% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 24.30% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 38.48% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 12.67% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 95.38% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 104.29% |
| 10 | Vishay Precision | 1.86 Bn | 1.53 Bn | 32.44 Mn | 1.20% |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 1.20% |
| Apr 4, 2026 | 1.79% |
| Dec 31, 2025 | 1.58% |
| Sep 27, 2025 | 2.38% |
| Jun 28, 2025 | -0.39% |
| Mar 29, 2025 | 0.94% |
| Dec 31, 2024 | 3.01% |
| Sep 28, 2024 | 4.09% |
| Jun 29, 2024 | 6.46% |
| Mar 30, 2024 | 7.56% |
| Dec 31, 2023 | 7.95% |
| Sep 30, 2023 | 9.45% |
| Jul 1, 2023 | 10.78% |
| Apr 1, 2023 | 11.86% |
| Dec 31, 2022 | 12.33% |
| Oct 1, 2022 | 11.79% |
| Jul 2, 2022 | 10.23% |
| Apr 2, 2022 | 7.94% |
| Dec 31, 2021 | 7.48% |
| Oct 2, 2021 | 5.43% |
Vishay Precision Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=VPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=VPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();