Kulicke & Soffa Industries (KLIC) Long-Term Investments (2017 - 2026)
Kulicke & Soffa Industries' Long-Term Investments was $10.79 million in fiscal Q3 2026 (quarter ended Jul 4, 2026), up 76.7% from $6.11 million a year earlier and up 36.9% from the prior quarter.
Kulicke & Soffa Industries (KLIC) Long-Term Investments (2017 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Long-Term Investments at Kulicke & Soffa Industries came in at $6.98 million, up 122.0% from FY2024.
- Long-Term Investments shows a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In earlier fiscal years, Long-Term Investments was $3.14 million in FY2024 (+339.0%), $716,000 in FY2023 (-86.7%), $5.4 million in FY2022 (-15.5%) and $6.39 million in FY2021 (-15.2%).
- The fiscal Q3 2026 figure marks the highest quarterly Long-Term Investments in data going back to fiscal Q2 2017.
- Compared with a year earlier, Long-Term Investments has increased for nine straight quarters, with growth averaging 128.4% over the last eight quarters.
- The best year-over-year quarter for Long-Term Investments over five years was fiscal Q3 2024 (growth of 569.7%); the worst was fiscal Q3 2023 (a decline of 92.0%).
- Per Business Quant data, KLIC's Long-Term Investments in the three fiscal quarters before Q3 2026 was $7.88 million (Q2 2026), $7.66 million (Q1 2026) and $6.98 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (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 | 568.83 Mn |
| 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 | 30.02 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 | 1.55 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 8.41 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 | 5.27 Bn |
| 10 | Kulicke & Soffa Industries | 4.25 Bn | 2.26 Bn | 157.95 Mn | 10.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 10.79 Mn |
| Apr 4, 2026 | 7.88 Mn |
| Jan 3, 2026 | 7.66 Mn |
| Oct 4, 2025 | 6.98 Mn |
| Jun 28, 2025 | 6.11 Mn |
| Mar 29, 2025 | 5.48 Mn |
| Dec 28, 2024 | 3.39 Mn |
| Sep 28, 2024 | 3.14 Mn |
| Jun 29, 2024 | 2.90 Mn |
| Mar 30, 2024 | 2.25 Mn |
| Dec 30, 2023 | 2.04 Mn |
| Sep 30, 2023 | 716,000.00 |
| Jul 1, 2023 | 433,000.00 |
| Apr 1, 2023 | 5.43 Mn |
| Dec 31, 2022 | 5.43 Mn |
| Oct 1, 2022 | 5.40 Mn |
| Jul 2, 2022 | 5.40 Mn |
| Apr 2, 2022 | 6.42 Mn |
| Jan 1, 2022 | 6.41 Mn |
| Oct 2, 2021 | 6.39 Mn |
Kulicke & Soffa Industries Long-Term Investments 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=long-term-investments&ticker=KLIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=KLIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();