Kulicke & Soffa Industries (KLIC) Inventory (2010 - 2026)
Kulicke & Soffa Industries (KLIC) recorded Inventory of $227.12 million in fiscal Q3 2026 (quarter ended Jul 4, 2026), up 43.4% from $158.33 million a year earlier and up 10.1% from the prior quarter.
Kulicke & Soffa Industries (KLIC) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Kulicke & Soffa Industries reported Inventory of $160.23 million, down 9.9% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- Across earlier fiscal years, Inventory came in at $177.74 million in FY2024 (-18.2%), $217.3 million in FY2023 (+17.5%), $184.99 million in FY2022 (+10.6%) and $167.32 million in FY2021 (+49.7%).
- The fiscal Q3 2026 figure is the highest quarterly Inventory since fiscal Q1 2024.
- On a year-over-year basis, Inventory rose in two of the last eight quarters, with an average decline of 0.3%.
- Peak year-over-year performance for Inventory in the last five years was growth of 57.7% in fiscal Q1 2022, against a decline of 23.0% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $206.29 million (Q2 2026), $176.51 million (Q1 2026) and $160.23 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 31.58 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 12.10 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 4.52 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 10.37 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 8.47 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | 13.43 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 12.49 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 4.28 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 6.56 Bn |
| 10 | Kulicke & Soffa Industries | 4.25 Bn | 2.26 Bn | 157.95 Mn | 227.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 227.12 Mn |
| Apr 4, 2026 | 206.29 Mn |
| Jan 3, 2026 | 176.51 Mn |
| Oct 4, 2025 | 160.23 Mn |
| Jun 28, 2025 | 158.33 Mn |
| Mar 29, 2025 | 155.66 Mn |
| Dec 28, 2024 | 185.06 Mn |
| Sep 28, 2024 | 177.74 Mn |
| Jun 29, 2024 | 175.55 Mn |
| Mar 30, 2024 | 180.54 Mn |
| Dec 30, 2023 | 236.56 Mn |
| Sep 30, 2023 | 217.30 Mn |
| Jul 1, 2023 | 227.99 Mn |
| Apr 1, 2023 | 224.16 Mn |
| Dec 31, 2022 | 211.64 Mn |
| Oct 1, 2022 | 184.99 Mn |
| Jul 2, 2022 | 215.28 Mn |
| Apr 2, 2022 | 211.88 Mn |
| Jan 1, 2022 | 197.23 Mn |
| Oct 2, 2021 | 167.32 Mn |
Kulicke & Soffa Industries Inventory 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=inventory&ticker=KLIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=KLIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();