Kulicke & Soffa Industries (KLIC) Revenue (2010 - 2026)
Kulicke & Soffa Industries' Revenue was $330.41 million in fiscal Q3 2026 (quarter ended Jul 4, 2026), up 122.6% from $148.41 million a year earlier and up 36.2% from the prior quarter.
Kulicke & Soffa Industries (KLIC) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Kulicke & Soffa Industries' Revenue was $950.21 million through Jul 4, 2026, up 44.4% year-over-year; for FY2025 (ended Oct 4, 2025), it came in at $654.08 million, down 7.4% from FY2024.
- Revenue has now declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- In earlier fiscal years, Revenue was $706.23 million in FY2024 (-4.9%), $742.49 million in FY2023 (-50.6%), $1.5 billion in FY2022 (-0.9%) and $1.52 billion in FY2021 (+143.5%).
- The fiscal Q3 2026 figure marks the highest quarterly Revenue since fiscal Q3 2022.
- Compared with a year earlier, Revenue has increased for three straight quarters, with growth averaging 19.1% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was fiscal Q4 2021 (growth of 173.1%); the worst was fiscal Q1 2023 (a decline of 61.8%).
- Per Business Quant data, KLIC's Revenue in the three fiscal quarters before Q3 2026 was $242.62 million (Q2 2026), $199.63 million (Q1 2026) and $177.56 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 96.22 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 40.19 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 29.59 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 54.23 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 11.54 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | 11.35 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 16.13 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 6.72 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 9.12 Bn |
| 10 | Kulicke & Soffa Industries | 4.25 Bn | 2.26 Bn | 157.95 Mn | 330.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 330.41 Mn |
| Apr 4, 2026 | 242.62 Mn |
| Jan 3, 2026 | 199.63 Mn |
| Oct 4, 2025 | 177.56 Mn |
| Jun 28, 2025 | 148.41 Mn |
| Mar 29, 2025 | 161.99 Mn |
| Dec 28, 2024 | 166.12 Mn |
| Sep 28, 2024 | 181.32 Mn |
| Jun 29, 2024 | 181.65 Mn |
| Mar 30, 2024 | 172.07 Mn |
| Dec 30, 2023 | 171.19 Mn |
| Sep 30, 2023 | 202.32 Mn |
| Jul 1, 2023 | 190.92 Mn |
| Apr 1, 2023 | 173.02 Mn |
| Dec 31, 2022 | 176.23 Mn |
| Oct 1, 2022 | 286.31 Mn |
| Jul 2, 2022 | 372.14 Mn |
| Apr 2, 2022 | 384.28 Mn |
| Jan 1, 2022 | 460.89 Mn |
| Oct 2, 2021 | 485.33 Mn |
Kulicke & Soffa Industries Revenue 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=revenue&ticker=KLIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=KLIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();