Kulicke & Soffa Industries (KLIC) Accumulated Expenses (2010 - 2026)
Kulicke & Soffa Industries (KLIC) posted Accumulated Expenses of $159.77 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), up 61.5% from $98.93 million a year earlier and up 34.0% from the prior quarter.
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Analysis
Kulicke & Soffa Industries (KLIC) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Kulicke & Soffa Industries' Accumulated Expenses came in at $97.79 million, up 7.7% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In prior fiscal years, Kulicke & Soffa Industries' Accumulated Expenses was $90.8 million in FY2024 (-11.8%), $103.01 million in FY2023 (-23.4%), $134.54 million in FY2022 (-16.7%) and $161.57 million in FY2021 (+110.5%).
- The fiscal Q3 2026 figure stands as the highest quarterly Accumulated Expenses since fiscal Q4 2021.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last six quarters, with growth averaging 12.2% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q4 2021, with growth of 110.5%; the weakest was fiscal Q3 2024, with a decline of 25.3%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $119.23 million (Q2 2026), $88.41 million (Q1 2026) and $97.79 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn |
| 10 | Kulicke & Soffa Industries | 3.35 Bn | 1.35 Bn | 157.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 159.77 Mn |
| Apr 4, 2026 | 119.23 Mn |
| Jan 3, 2026 | 88.41 Mn |
| Oct 4, 2025 | 97.79 Mn |
| Jun 28, 2025 | 98.93 Mn |
| Mar 29, 2025 | 96.13 Mn |
| Dec 28, 2024 | 77.07 Mn |
| Sep 28, 2024 | 90.80 Mn |
| Jun 29, 2024 | 89.98 Mn |
| Mar 30, 2024 | 90.13 Mn |
| Dec 30, 2023 | 91.19 Mn |
| Sep 30, 2023 | 103.01 Mn |
| Jul 1, 2023 | 120.51 Mn |
| Apr 1, 2023 | 112.30 Mn |
| Dec 31, 2022 | 110.93 Mn |
| Oct 1, 2022 | 134.54 Mn |
| Jul 2, 2022 | 138.43 Mn |
| Apr 2, 2022 | 136.64 Mn |
| Jan 1, 2022 | 146.15 Mn |
| Oct 2, 2021 | 161.57 Mn |
API Access
Kulicke & Soffa Industries 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=accumulated-expenses&ticker=KLIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=KLIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();