Kulicke & Soffa Industries (KLIC) Goodwill & Intangibles (2010 - 2026)
Kulicke & Soffa Industries (KLIC) posted Goodwill & Intangibles of $74.2 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), down 1.6% from $75.43 million a year earlier and down 0.4% from the prior quarter.
Kulicke & Soffa Industries (KLIC) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Kulicke & Soffa Industries' Goodwill & Intangibles came in at $75.12 million, down 34.7% from FY2024.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- In prior fiscal years, Kulicke & Soffa Industries' Goodwill & Intangibles was $114.99 million in FY2024 (-2.6%), $118.03 million in FY2023 (+18.0%), $100.04 million in FY2022 (-13.5%) and $115.7 million in FY2021 (+22.2%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Goodwill & Intangibles since fiscal Q1 2015.
- On a year-over-year basis, Goodwill & Intangibles has declined in each of the last ten quarters, with an average decline of 18.5% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was fiscal Q2 2023, with growth of 26.3%; the weakest was fiscal Q2 2025, with a decline of 34.8%.
- According to Business Quant data, Goodwill & Intangibles for the three prior fiscal quarters was $74.51 million (Q2 2026), $74.81 million (Q1 2026) and $75.12 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn |
| 10 | Kulicke & Soffa Industries | 4.25 Bn | 2.26 Bn | 157.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 74.20 Mn |
| Apr 4, 2026 | 74.51 Mn |
| Jan 3, 2026 | 74.81 Mn |
| Oct 4, 2025 | 75.12 Mn |
| Jun 28, 2025 | 75.43 Mn |
| Mar 29, 2025 | 75.74 Mn |
| Dec 28, 2024 | 111.21 Mn |
| Sep 28, 2024 | 114.99 Mn |
| Jun 29, 2024 | 114.68 Mn |
| Mar 30, 2024 | 116.22 Mn |
| Dec 30, 2023 | 118.43 Mn |
| Sep 30, 2023 | 118.03 Mn |
| Jul 1, 2023 | 120.71 Mn |
| Apr 1, 2023 | 138.79 Mn |
| Dec 31, 2022 | 103.82 Mn |
| Oct 1, 2022 | 100.04 Mn |
| Jul 2, 2022 | 105.08 Mn |
| Apr 2, 2022 | 109.91 Mn |
| Jan 1, 2022 | 113.06 Mn |
| Oct 2, 2021 | 115.70 Mn |
Kulicke & Soffa Industries Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=KLIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=KLIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();