Kulicke & Soffa Industries (KLIC) Operating Expenses (2010 - 2026)
Kulicke & Soffa Industries (KLIC) posted Operating Expenses of $89.68 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), up 19.0% from $75.34 million a year earlier and up 10.5% from the prior quarter.
Kulicke & Soffa Industries (KLIC) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, Operating Expenses at Kulicke & Soffa Industries was $332.28 million, up 16.3% year-over-year; for FY2025 (ended Oct 4, 2025), it came in at $281.15 million, down 22.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- In prior fiscal years, Kulicke & Soffa Industries' Operating Expenses was $361.25 million in FY2024 (+13.2%), $319.22 million in FY2023 (+14.7%), $278.25 million in FY2022 (-2.2%) and $284.54 million in FY2021 (+18.8%).
- The fiscal Q3 2026 figure stands as the highest quarterly Operating Expenses since fiscal Q2 2025.
- On a year-over-year basis, Operating Expenses increased in three of the last seven quarters, with an average decline of 15.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2024, with growth of 70.2%; the weakest was fiscal Q1 2025, with a decline of 99.4%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $81.14 million (Q2 2026), $81.14 million (Q1 2026) and $80.32 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 2.77 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | - |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Kulicke & Soffa Industries | 4.25 Bn | 2.26 Bn | 157.95 Mn | 89.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 89.68 Mn |
| Apr 4, 2026 | 81.14 Mn |
| Jan 3, 2026 | 81.14 Mn |
| Oct 4, 2025 | 80.32 Mn |
| Jun 28, 2025 | 75.34 Mn |
| Mar 29, 2025 | 125.05 Mn |
| Dec 28, 2024 | 435,000.00 |
| Sep 28, 2024 | 84.97 Mn |
| Jun 29, 2024 | 76.45 Mn |
| Mar 30, 2024 | 121.63 Mn |
| Dec 30, 2023 | 78.20 Mn |
| Sep 30, 2023 | 76.37 Mn |
| Jul 1, 2023 | 94.51 Mn |
| Apr 1, 2023 | 71.46 Mn |
| Dec 31, 2022 | 76.88 Mn |
| Oct 1, 2022 | 65.14 Mn |
| Jul 2, 2022 | 68.61 Mn |
| Apr 2, 2022 | 72.37 Mn |
| Jan 1, 2022 | 72.13 Mn |
| Oct 2, 2021 | 76.48 Mn |
Kulicke & Soffa Industries 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=KLIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=KLIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();