Vishay Intertechnology (VSH) Operating Expenses (2009 - 2026)
Vishay Intertechnology (VSH) reported Operating Expenses of $153.86 million for Q2 2026, up 21.6% from $126.57 million a year earlier but down 0.4% from the prior quarter.
Vishay Intertechnology (VSH) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, Vishay Intertechnology's Operating Expenses came in at $585.06 million, up 4.0% year-over-year; for FY2025, it was $538.02 million, down 2.9% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- By year, Operating Expenses came in at $554.18 million in FY2024 (+13.5%), $488.35 million in FY2023 (+10.1%), $443.5 million in FY2022 (+5.6%) and $420.11 million in FY2021 (+12.9%).
- Five-year quarterly Operating Expenses spans a low of $102.22 million in Q3 2021 and a high of $169.16 million in Q3 2024.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with growth averaging 9.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2024 (growth of 38.1%); the low point was Q3 2025 (a decline of 20.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $154.49 million (Q1 2026), $142 million (Q4 2025) and $134.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 198.00 Mn |
| 10 | Vishay Intertechnology | 5.40 Bn | 2.65 Bn | 207.38 Mn | 153.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 153.86 Mn |
| Apr 4, 2026 | 154.49 Mn |
| Dec 31, 2025 | 142.00 Mn |
| Sep 27, 2025 | 134.71 Mn |
| Jun 28, 2025 | 126.57 Mn |
| Mar 29, 2025 | 134.74 Mn |
| Dec 31, 2024 | 132.33 Mn |
| Sep 28, 2024 | 169.16 Mn |
| Jun 29, 2024 | 124.95 Mn |
| Mar 30, 2024 | 127.74 Mn |
| Dec 31, 2023 | 122.83 Mn |
| Sep 30, 2023 | 122.51 Mn |
| Jul 1, 2023 | 122.86 Mn |
| Apr 1, 2023 | 120.15 Mn |
| Dec 31, 2022 | 113.81 Mn |
| Oct 1, 2022 | 106.44 Mn |
| Jul 2, 2022 | 110.40 Mn |
| Apr 2, 2022 | 112.86 Mn |
| Dec 31, 2021 | 108.31 Mn |
| Oct 2, 2021 | 102.22 Mn |
Vishay Intertechnology Operating 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=operating-expenses&ticker=VSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VSH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=VSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();