Kulicke & Soffa Industries (KLIC) Enterprise Value (2010 - 2026)
Kulicke & Soffa Industries' Enterprise Value was $5.83 billion in fiscal Q3 2026 (quarter ended Jul 4, 2026), up 361.6% from $1.26 billion a year earlier and up 103.6% from the prior quarter.
Kulicke & Soffa Industries (KLIC) Enterprise Value (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Kulicke & Soffa Industries' Enterprise Value was $4.35 billion through Jul 4, 2026; for FY2025 (ended Oct 4, 2025), it was $1.58 billion, down 13.6% from FY2024.
- Enterprise Value shows a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- In earlier fiscal years, Enterprise Value was $1.83 billion in FY2024 (-7.3%), $1.98 billion in FY2023 (+38.8%), $1.43 billion in FY2022 (-50.7%) and $2.89 billion in FY2021 (+254.0%).
- The fiscal Q3 2026 figure marks the highest quarterly Enterprise Value in data going back to fiscal Q3 2010.
- Compared with a year earlier, Enterprise Value has increased for three straight quarters, with growth averaging 48.2% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was fiscal Q3 2026 (growth of 361.6%); the worst was fiscal Q4 2022 (a decline of 50.7%).
- Per Business Quant data, KLIC's Enterprise Value in the three fiscal quarters before Q3 2026 was $2.87 billion (Q2 2026), $2.05 billion (Q1 2026) and $1.58 billion (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 | 5.83 Bn |
| Apr 4, 2026 | 2.87 Bn |
| Jan 3, 2026 | 2.05 Bn |
| Oct 4, 2025 | 1.58 Bn |
| Jun 28, 2025 | 1.26 Bn |
| Mar 29, 2025 | 1.17 Bn |
| Dec 28, 2024 | 2.02 Bn |
| Sep 28, 2024 | 1.83 Bn |
| Jun 29, 2024 | 2.09 Bn |
| Mar 30, 2024 | 2.17 Bn |
| Dec 30, 2023 | 2.38 Bn |
| Sep 30, 2023 | 1.98 Bn |
| Jul 1, 2023 | 2.65 Bn |
| Apr 1, 2023 | 2.25 Bn |
| Dec 31, 2022 | 1.72 Bn |
| Oct 1, 2022 | 1.43 Bn |
| Jul 2, 2022 | 1.54 Bn |
| Apr 2, 2022 | 2.59 Bn |
| Jan 1, 2022 | 2.97 Bn |
| Oct 2, 2021 | 2.89 Bn |
Kulicke & Soffa Industries Enterprise Value 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=enterprise-value&ticker=KLIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=KLIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();