Vishay Precision (VPG) Intangibles (2010 - 2026)
Vishay Precision (VPG) recorded Intangibles of $36.12 million in Q2 2026, down 10.1% from $40.19 million a year earlier and down 2.9% from the prior quarter.
Vishay Precision (VPG) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, Vishay Precision reported Intangibles of $38.23 million, down 8.6% from FY2024.
- Annual Intangibles has declined for four straight years, though with a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Across earlier years, Intangibles came in at $41.82 million in FY2024 (-6.3%), $44.63 million in FY2023 (-7.4%), $48.22 million in FY2022 (-8.0%) and $52.44 million in FY2021 (+63.7%).
- The Q2 2026 figure is the lowest quarterly Intangibles since Q1 2021.
- On a year-over-year basis, Intangibles has declined for 17 consecutive quarters, with an average decline of 7.6% over the last eight quarters.
- Peak year-over-year performance for Intangibles in the last five years was growth of 65.8% in Q3 2021, against a decline of 10.1% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $37.19 million (Q1 2026), $38.23 million (Q4 2025) and $39.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 420.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 5.29 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 940.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 12.61 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 7.28 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 1.80 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 8.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.05 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 558.00 Mn |
| 10 | Vishay Precision | 1.86 Bn | 1.53 Bn | 32.44 Mn | 36.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 36.12 Mn |
| Apr 4, 2026 | 37.19 Mn |
| Dec 31, 2025 | 38.23 Mn |
| Sep 27, 2025 | 39.16 Mn |
| Jun 28, 2025 | 40.19 Mn |
| Mar 29, 2025 | 40.91 Mn |
| Dec 31, 2024 | 41.82 Mn |
| Sep 28, 2024 | 41.81 Mn |
| Jun 29, 2024 | 42.64 Mn |
| Mar 30, 2024 | 43.60 Mn |
| Dec 31, 2023 | 44.63 Mn |
| Sep 30, 2023 | 45.49 Mn |
| Jul 1, 2023 | 46.48 Mn |
| Apr 1, 2023 | 47.30 Mn |
| Dec 31, 2022 | 48.22 Mn |
| Oct 1, 2022 | 49.08 Mn |
| Jul 2, 2022 | 50.43 Mn |
| Apr 2, 2022 | 51.62 Mn |
| Dec 31, 2021 | 52.44 Mn |
| Oct 2, 2021 | 53.33 Mn |
Vishay Precision Intangibles 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=intangibles&ticker=VPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=VPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();