Vishay Precision (VPG) Return on Capital Employed [ROCE] (2011 - 2026)
Vishay Precision's Return on Capital Employed [ROCE] was 2.86% in Q2 2026, up 1.19 percentage points from 1.67% a year earlier but down 0.71 percentage points from the prior quarter.
Vishay Precision (VPG) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Vishay Precision came in at 3.48%, down 0.65 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now declined for three consecutive years, with a five-year change of -3.21 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 4.13% in FY2024 (-6.04 pp), 10.17% in FY2023 (-0.65 pp), 10.82% in FY2022 (+3.36 pp) and 7.45% in FY2021 (+0.76 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between 1.67% (Q2 2025) and 11.04% (Q2 2023) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in two of the last eight quarters, with an average year-over-year change of -3.28 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2022 (a gain of 3.92 percentage points); the worst was Q1 2025 (a drop of 7.84 percentage points).
- Per Business Quant data, VPG's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 3.56% (Q1 2026), 3.43% (Q4 2025) and 3.23% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 22.08% |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 23.04% |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 12.16% |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 18.77% |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 29.36% |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 14.90% |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 19.43% |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 41.86% |
| 10 | Vishay Precision | 1.92 Bn | 1.59 Bn | 32.44 Mn | 2.86% |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 2.86% |
| Apr 4, 2026 | 3.56% |
| Dec 31, 2025 | 3.43% |
| Sep 27, 2025 | 3.23% |
| Jun 28, 2025 | 1.67% |
| Mar 29, 2025 | 2.48% |
| Dec 31, 2024 | 4.18% |
| Sep 28, 2024 | 7.03% |
| Jun 29, 2024 | 8.83% |
| Mar 30, 2024 | 10.32% |
| Dec 31, 2023 | 10.08% |
| Sep 30, 2023 | 10.09% |
| Jul 1, 2023 | 11.04% |
| Apr 1, 2023 | 10.85% |
| Dec 31, 2022 | 10.92% |
| Oct 1, 2022 | 9.91% |
| Jul 2, 2022 | 8.75% |
| Apr 2, 2022 | 7.29% |
| Dec 31, 2021 | 7.00% |
| Oct 2, 2021 | 6.30% |
Vishay Precision Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=VPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=VPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();