Vishay Intertechnology (VSH) Land & Improvements (2009 - 2026)
Vishay Intertechnology's Land & Improvements came in at $85.71 million for Q2 2026, down 0.8% from $86.41 million a year earlier and down 0.4% from the prior quarter.
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Analysis
Vishay Intertechnology (VSH) Land & Improvements (2009 - 2026) Analysis & Trends
At the end of FY2025, Vishay Intertechnology's Land & Improvements was $86.4 million, up 2.7% from FY2024.
- Land & Improvements has increased in each of the last four years, with a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- Going back by year, Land & Improvements was $84.12 million in FY2024 (+9.2%), $77.01 million in FY2023 (+1.4%), $75.91 million in FY2022 (+1.7%) and $74.65 million in FY2021 (-2.1%).
- The Q2 2026 figure represents the lowest quarterly Land & Improvements since Q1 2025.
- Year-over-year, Land & Improvements increased in seven of the last eight quarters, with growth averaging 3.7%.
- The fastest year-over-year change in Land & Improvements over five years came in Q3 2024 (growth of 11.4%), and the weakest in Q2 2022 (a decline of 3.3%).
- Business Quant data shows VSH's Land & Improvements at $86.09 million (Q1 2026), $86.4 million (Q4 2025) and $86.45 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 85.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 85.71 Mn |
| Apr 4, 2026 | 86.09 Mn |
| Dec 31, 2025 | 86.40 Mn |
| Sep 27, 2025 | 86.45 Mn |
| Jun 28, 2025 | 86.41 Mn |
| Mar 29, 2025 | 84.83 Mn |
| Dec 31, 2024 | 84.12 Mn |
| Sep 28, 2024 | 84.85 Mn |
| Jun 29, 2024 | 84.04 Mn |
| Mar 30, 2024 | 84.30 Mn |
| Dec 31, 2023 | 77.01 Mn |
| Sep 30, 2023 | 76.14 Mn |
| Jul 1, 2023 | 76.87 Mn |
| Apr 1, 2023 | 76.27 Mn |
| Dec 31, 2022 | 75.91 Mn |
| Oct 1, 2022 | 74.12 Mn |
| Jul 2, 2022 | 73.05 Mn |
| Apr 2, 2022 | 74.24 Mn |
| Dec 31, 2021 | 74.65 Mn |
| Oct 2, 2021 | 75.06 Mn |
API Access
Vishay Intertechnology Land & Improvements 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=land-and-improvements&ticker=VSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=VSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();