Kulicke & Soffa Industries (KLIC) Finished Goods (2011 - 2026)
Kulicke & Soffa Industries (KLIC) recorded Finished Goods of $82.16 million in fiscal Q3 2026 (quarter ended Jul 4, 2026), up 23.7% from $66.43 million a year earlier and up 4.2% from the prior quarter.
Kulicke & Soffa Industries (KLIC) Finished Goods (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Kulicke & Soffa Industries reported Finished Goods of $73.05 million, up 36.8% from FY2024.
- Annual Finished Goods has increased for four straight fiscal years, with a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- Across earlier fiscal years, Finished Goods came in at $53.38 million in FY2024 (+8.5%), $49.21 million in FY2023 (+8.7%), $45.28 million in FY2022 (+13.2%) and $40.01 million in FY2021 (-7.0%).
- The fiscal Q3 2026 figure is the highest quarterly Finished Goods in data going back to fiscal Q4 2011.
- On a year-over-year basis, Finished Goods has increased for 14 consecutive quarters, with growth averaging 19.0% over the last eight quarters.
- Peak year-over-year performance for Finished Goods in the last five years was growth of 36.8% in fiscal Q4 2025, against a decline of 7.0% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $78.83 million (Q2 2026), $72.09 million (Q1 2026) and $73.05 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 | 82.16 Mn |
| Apr 4, 2026 | 78.83 Mn |
| Jan 3, 2026 | 72.09 Mn |
| Oct 4, 2025 | 73.05 Mn |
| Jun 28, 2025 | 66.43 Mn |
| Mar 29, 2025 | 61.24 Mn |
| Dec 28, 2024 | 58.28 Mn |
| Sep 28, 2024 | 53.38 Mn |
| Jun 29, 2024 | 58.34 Mn |
| Mar 30, 2024 | 54.80 Mn |
| Dec 30, 2023 | 55.46 Mn |
| Sep 30, 2023 | 49.21 Mn |
| Jul 1, 2023 | 49.16 Mn |
| Apr 1, 2023 | 48.91 Mn |
| Dec 31, 2022 | 45.12 Mn |
| Oct 1, 2022 | 45.28 Mn |
| Jul 2, 2022 | 40.36 Mn |
| Apr 2, 2022 | 44.48 Mn |
| Jan 1, 2022 | 47.87 Mn |
| Oct 2, 2021 | 40.01 Mn |
Kulicke & Soffa Industries Finished Goods 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=finished-goods&ticker=KLIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=KLIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();