Kulicke & Soffa Industries (KLIC) Total Liabilities (2010 - 2026)
Kulicke & Soffa Industries (KLIC) recorded Total Liabilities of $407.13 million in fiscal Q3 2026 (quarter ended Jul 4, 2026), up 41.7% from $287.37 million a year earlier and up 24.0% from the prior quarter.
Kulicke & Soffa Industries (KLIC) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Kulicke & Soffa Industries reported Total Liabilities of $282.85 million, down 4.5% from FY2024.
- Annual Total Liabilities has declined for four straight fiscal years, with a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $296.15 million in FY2024 (-8.9%), $325.22 million in FY2023 (-17.4%), $393.95 million in FY2022 (-22.2%) and $506.39 million in FY2021 (+70.7%).
- The fiscal Q3 2026 figure is the highest quarterly Total Liabilities since fiscal Q3 2022.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with growth averaging 4.3% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 70.7% in fiscal Q4 2021, against a decline of 25.1% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $328.44 million (Q2 2026), $289.61 million (Q1 2026) and $282.85 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 92.36 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 57.51 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | 36.36 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Kulicke & Soffa Industries | 4.25 Bn | 2.26 Bn | 157.95 Mn | 407.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 407.13 Mn |
| Apr 4, 2026 | 328.44 Mn |
| Jan 3, 2026 | 289.61 Mn |
| Oct 4, 2025 | 282.85 Mn |
| Jun 28, 2025 | 287.37 Mn |
| Mar 29, 2025 | 281.10 Mn |
| Dec 28, 2024 | 278.70 Mn |
| Sep 28, 2024 | 296.15 Mn |
| Jun 29, 2024 | 283.68 Mn |
| Mar 30, 2024 | 286.53 Mn |
| Dec 30, 2023 | 325.48 Mn |
| Sep 30, 2023 | 325.22 Mn |
| Jul 1, 2023 | 338.41 Mn |
| Apr 1, 2023 | 340.35 Mn |
| Dec 31, 2022 | 372.59 Mn |
| Oct 1, 2022 | 393.95 Mn |
| Jul 2, 2022 | 421.54 Mn |
| Apr 2, 2022 | 421.76 Mn |
| Jan 1, 2022 | 497.36 Mn |
| Oct 2, 2021 | 506.39 Mn |
Kulicke & Soffa Industries Total Liabilities 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=total-liabilities&ticker=KLIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=KLIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();