Kulicke & Soffa Industries (KLIC) Buildings (2011 - 2026)
Kulicke & Soffa Industries' Buildings came in at $29.95 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), down 3.6% from $31.08 million a year earlier but up 0.3% from the prior quarter.
Kulicke & Soffa Industries (KLIC) Buildings (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Kulicke & Soffa Industries' Buildings was $29.71 million, up 24.0% from FY2024.
- Buildings has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- Going back by fiscal year, Buildings was $23.95 million in FY2024 (+3.7%), $23.11 million in FY2023 (+1.4%), $22.78 million in FY2022 (-2.3%) and $23.31 million in FY2021 (+2.1%).
- The five-year range for quarterly Buildings is $22.78 million (fiscal Q4 2022) to $31.08 million (fiscal Q3 2025).
- Year-over-year, Buildings increased in seven of the last eight quarters, with growth averaging 13.6%.
- The fastest year-over-year change in Buildings over five years came in fiscal Q3 2025 (growth of 30.5%), and the weakest in fiscal Q3 2026 (a decline of 3.6%).
- Business Quant data shows KLIC's Buildings at $29.88 million (Q2 2026), $29.77 million (Q1 2026) and $29.71 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,249.11 Bn | 5,023.27 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,213.34 Bn | 1,838.21 Bn | 27.22 Bn |
| 3 | Broadcom | 1,595.90 Bn | 1,521.94 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,025.12 Bn | 930.76 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 882.24 Bn | 838.99 Bn | 6.20 Bn |
| 6 | Asml Holding | 635.45 Bn | 591.13 Bn | 5.90 Bn |
| 7 | Intel | 472.04 Bn | 341.18 Bn | 6.51 Bn |
| 8 | Lam Research | 332.06 Bn | 308.85 Bn | 3.48 Bn |
| 9 | Applied Materials | 321.30 Bn | 286.74 Bn | 4.59 Bn |
| 10 | Kulicke & Soffa Industries | 4.21 Bn | 2.22 Bn | 157.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 29.95 Mn |
| Apr 4, 2026 | 29.88 Mn |
| Jan 3, 2026 | 29.77 Mn |
| Oct 4, 2025 | 29.71 Mn |
| Jun 28, 2025 | 31.08 Mn |
| Mar 29, 2025 | 28.20 Mn |
| Dec 28, 2024 | 27.80 Mn |
| Sep 28, 2024 | 23.95 Mn |
| Jun 29, 2024 | 23.81 Mn |
| Mar 30, 2024 | 23.18 Mn |
| Dec 30, 2023 | 23.21 Mn |
| Sep 30, 2023 | 23.11 Mn |
| Jul 1, 2023 | 22.93 Mn |
| Apr 1, 2023 | 23.19 Mn |
| Dec 31, 2022 | 22.96 Mn |
| Oct 1, 2022 | 22.78 Mn |
| Jul 2, 2022 | 23.12 Mn |
| Apr 2, 2022 | 23.46 Mn |
| Jan 1, 2022 | 23.40 Mn |
| Oct 2, 2021 | 23.31 Mn |
Kulicke & Soffa Industries Buildings 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=buildings&ticker=KLIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "KLIC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=KLIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();