Vishay Intertechnology (VSH) Other Accumulated Expenses (2009 - 2026)
Vishay Intertechnology (VSH) recorded Other Accumulated Expenses of $310.24 million in Q2 2026, up 15.7% from $268.1 million a year earlier and up 15.3% from the prior quarter.
Vishay Intertechnology (VSH) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Vishay Intertechnology reported Other Accumulated Expenses of $300.03 million, up 13.4% from FY2024.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $264.47 million in FY2024 (+10.5%), $239.35 million in FY2023 (-8.5%), $261.61 million in FY2022 (+20.0%) and $218.09 million in FY2021 (+19.4%).
- The Q2 2026 figure is the highest quarterly Other Accumulated Expenses in data going back to Q4 2009.
- On a year-over-year basis, Other Accumulated Expenses has increased for three consecutive quarters, with growth averaging 8.7% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 21.6% in Q3 2021, against a decline of 8.5% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $269.05 million (Q1 2026), $300.03 million (Q4 2025) and $274.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn |
| 10 | Vishay Intertechnology | 5.40 Bn | 2.65 Bn | 207.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 310.24 Mn |
| Apr 4, 2026 | 269.05 Mn |
| Dec 31, 2025 | 300.03 Mn |
| Sep 27, 2025 | 274.37 Mn |
| Jun 28, 2025 | 268.10 Mn |
| Mar 29, 2025 | 262.65 Mn |
| Dec 31, 2024 | 264.47 Mn |
| Sep 28, 2024 | 275.16 Mn |
| Jun 29, 2024 | 241.96 Mn |
| Mar 30, 2024 | 258.77 Mn |
| Dec 31, 2023 | 239.35 Mn |
| Sep 30, 2023 | 238.57 Mn |
| Jul 1, 2023 | 249.38 Mn |
| Apr 1, 2023 | 246.53 Mn |
| Dec 31, 2022 | 261.61 Mn |
| Oct 1, 2022 | 220.54 Mn |
| Jul 2, 2022 | 214.87 Mn |
| Apr 2, 2022 | 210.53 Mn |
| Dec 31, 2021 | 218.09 Mn |
| Oct 2, 2021 | 206.05 Mn |
Vishay Intertechnology Other Accumulated 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=other-accumulated-expenses&ticker=VSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=VSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();