Kulicke & Soffa Industries (KLIC) Change in Accured Expenses (2010 - 2026)
Kulicke & Soffa Industries (KLIC) posted Change in Accured Expenses of $64.34 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), up 963.1% from $6.05 million a year earlier and up 74.6% from the prior quarter.
Kulicke & Soffa Industries (KLIC) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 4, 2026, Change in Accured Expenses at Kulicke & Soffa Industries was $118.6 million, up 582.3% year-over-year; for FY2025 (ended Oct 4, 2025), it was $24.12 million.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -8.8% (FY2020 to FY2025).
- In prior fiscal years, Kulicke & Soffa Industries' Change in Accured Expenses was $185,000 in FY2024, -$52.33 million in FY2023, -$128.73 million in FY2022 and $181.96 million in FY2021 (+377.0%).
- The fiscal Q3 2026 figure stands as the highest quarterly Change in Accured Expenses in data going back to fiscal Q4 2010.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was $36.85 million (Q2 2026), $2.64 million (Q1 2026) and $14.77 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 252.00 Mn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 157.82 Mn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 372.00 Mn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 5.38 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | -652.00 Mn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | - |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 803.00 Mn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 633.00 Mn |
| 10 | Kulicke & Soffa Industries | 4.25 Bn | 2.26 Bn | 157.95 Mn | 64.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 64.34 Mn |
| Apr 4, 2026 | 36.85 Mn |
| Jan 3, 2026 | 2.64 Mn |
| Oct 4, 2025 | 14.77 Mn |
| Jun 28, 2025 | 6.05 Mn |
| Mar 29, 2025 | 19.10 Mn |
| Dec 28, 2024 | -15.80 Mn |
| Sep 28, 2024 | 8.02 Mn |
| Jun 29, 2024 | -55,000.00 |
| Mar 30, 2024 | -6.97 Mn |
| Dec 30, 2023 | -819,000.00 |
| Sep 30, 2023 | -16.87 Mn |
| Jul 1, 2023 | 5.83 Mn |
| Apr 1, 2023 | -8.52 Mn |
| Dec 31, 2022 | -32.76 Mn |
| Oct 1, 2022 | -44.72 Mn |
| Jul 2, 2022 | -2.70 Mn |
| Apr 2, 2022 | -58.04 Mn |
| Jan 1, 2022 | -23.28 Mn |
| Oct 2, 2021 | 37.24 Mn |
Kulicke & Soffa Industries Change in Accured 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=change-in-accured-expenses&ticker=KLIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=KLIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();