Kulicke & Soffa Industries (KLIC) Operating Leases (2019 - 2026)
Kulicke & Soffa Industries' Operating Leases was $32.04 million in fiscal Q3 2026 (quarter ended Jul 4, 2026), up 7.6% from $29.78 million a year earlier but down 4.6% from the prior quarter.
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Analysis
Kulicke & Soffa Industries (KLIC) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Operating Leases at Kulicke & Soffa Industries came in at $32.37 million, down 2.6% from FY2024.
- Operating Leases shows a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- In earlier fiscal years, Operating Leases was $33.25 million in FY2024 (-20.5%), $41.84 million in FY2023 (+19.8%), $34.93 million in FY2022 (-8.3%) and $38.08 million in FY2021 (+107.8%).
- Quarterly Operating Leases has moved between $29.58 million (fiscal Q2 2025) and $41.84 million (fiscal Q4 2023) over five years.
- Compared with a year earlier, Operating Leases has increased for three straight quarters, with an average decline of 6.2% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was fiscal Q3 2022 (growth of 135.3%); the worst was fiscal Q1 2025 (a decline of 26.8%).
- Per Business Quant data, KLIC's Operating Leases in the three fiscal quarters before Q3 2026 was $33.59 million (Q2 2026), $31.09 million (Q1 2026) and $32.37 million (Q4 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 32.04 Mn |
| Apr 4, 2026 | 33.59 Mn |
| Jan 3, 2026 | 31.09 Mn |
| Oct 4, 2025 | 32.37 Mn |
| Jun 28, 2025 | 29.78 Mn |
| Mar 29, 2025 | 29.58 Mn |
| Dec 28, 2024 | 30.53 Mn |
| Sep 28, 2024 | 33.25 Mn |
| Jun 29, 2024 | 32.52 Mn |
| Mar 30, 2024 | 34.31 Mn |
| Dec 30, 2023 | 41.72 Mn |
| Sep 30, 2023 | 41.84 Mn |
| Jul 1, 2023 | 41.39 Mn |
| Apr 1, 2023 | 39.56 Mn |
| Dec 31, 2022 | 40.33 Mn |
| Oct 1, 2022 | 34.93 Mn |
| Jul 2, 2022 | 35.84 Mn |
| Apr 2, 2022 | 34.69 Mn |
| Jan 1, 2022 | 35.96 Mn |
| Oct 2, 2021 | 38.08 Mn |
API Access
Kulicke & Soffa Industries Operating Leases 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=operating-leases&ticker=KLIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=KLIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();