Kulicke & Soffa Industries (KLIC) EBT (2010 - 2026)
Kulicke & Soffa Industries' EBT was $72.76 million in fiscal Q3 2026 (quarter ended Jul 4, 2026), compared with -$118,000 a year earlier and up 71.2% from the prior quarter.
Kulicke & Soffa Industries (KLIC) EBT (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Kulicke & Soffa Industries' EBT was $144.51 million through Jul 4, 2026, up 505.7% year-over-year; for FY2025 (ended Oct 4, 2025), it came in at $20.48 million.
- EBT shows a five-year compound annual growth rate of -20.5% (FY2020 to FY2025).
- In earlier fiscal years, EBT was -$58.36 million in FY2024, $72.2 million in FY2023 (-84.9%), $476.99 million in FY2022 (+15.1%) and $414.55 million in FY2021 (+544.4%).
- The fiscal Q3 2026 figure marks the highest quarterly EBT since fiscal Q1 2025.
- Compared with a year earlier, EBT was higher in 1 of the last four quarters, with growth averaging 132.3%.
- The best year-over-year quarter for EBT over five years was fiscal Q1 2025 (growth of 703.6%); the worst was fiscal Q3 2023 (a decline of 96.5%).
- Per Business Quant data, KLIC's EBT in the three fiscal quarters before Q3 2026 was $42.51 million (Q2 2026), $22.54 million (Q1 2026) and $6.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 71.51 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 27.29 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 15.28 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 44.24 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 2.55 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | - |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | -10.82 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 2.56 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 2.91 Bn |
| 10 | Kulicke & Soffa Industries | 4.25 Bn | 2.26 Bn | 157.95 Mn | 72.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 72.76 Mn |
| Apr 4, 2026 | 42.51 Mn |
| Jan 3, 2026 | 22.54 Mn |
| Oct 4, 2025 | 6.70 Mn |
| Jun 28, 2025 | -118,000.00 |
| Mar 29, 2025 | -79.08 Mn |
| Dec 28, 2024 | 92.97 Mn |
| Sep 28, 2024 | 10.08 Mn |
| Jun 29, 2024 | 16.32 Mn |
| Mar 30, 2024 | -96.33 Mn |
| Dec 30, 2023 | 11.57 Mn |
| Sep 30, 2023 | 28.95 Mn |
| Jul 1, 2023 | 4.31 Mn |
| Apr 1, 2023 | 20.60 Mn |
| Dec 31, 2022 | 18.35 Mn |
| Oct 1, 2022 | 71.53 Mn |
| Jul 2, 2022 | 124.20 Mn |
| Apr 2, 2022 | 129.71 Mn |
| Jan 1, 2022 | 151.54 Mn |
| Oct 2, 2021 | 155.28 Mn |
Kulicke & Soffa Industries EBT 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=ebt&ticker=KLIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=KLIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();