Kulicke & Soffa Industries (KLIC) Retained Earnings (2010 - 2026)
Kulicke & Soffa Industries (KLIC) posted Retained Earnings of $1.28 billion for fiscal Q3 2026 (quarter ended Jul 4, 2026), up 6.1% from $1.2 billion a year earlier and up 3.8% from the prior quarter.
Kulicke & Soffa Industries (KLIC) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Kulicke & Soffa Industries' Retained Earnings came in at $1.2 billion, down 3.5% from FY2024.
- Annual Retained Earnings shows a five-year compound annual growth rate of 14.3% (FY2020 to FY2025).
- In prior fiscal years, Kulicke & Soffa Industries' Retained Earnings was $1.24 billion in FY2024 (-8.4%), $1.36 billion in FY2023 (+1.1%), $1.34 billion in FY2022 (+41.4%) and $948.55 million in FY2021 (+54.0%).
- The fiscal Q3 2026 figure stands as the highest quarterly Retained Earnings since fiscal Q1 2025.
- On a year-over-year basis, Retained Earnings increased in two of the last eight quarters, with an average decline of 2.6%.
- The strongest year-over-year quarter for Retained Earnings in the past five years was fiscal Q2 2022, with growth of 63.9%; the weakest was fiscal Q4 2024, with a decline of 8.4%.
- According to Business Quant data, Retained Earnings for the three prior fiscal quarters was $1.23 billion (Q2 2026), $1.21 billion (Q1 2026) and $1.2 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 219.16 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 294.22 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 22.15 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 131.85 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 5.91 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | 20.66 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 33.84 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 34.95 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 61.39 Bn |
| 10 | Kulicke & Soffa Industries | 4.25 Bn | 2.26 Bn | 157.95 Mn | 1.28 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 1.28 Bn |
| Apr 4, 2026 | 1.23 Bn |
| Jan 3, 2026 | 1.21 Bn |
| Oct 4, 2025 | 1.20 Bn |
| Jun 28, 2025 | 1.20 Bn |
| Mar 29, 2025 | 1.22 Bn |
| Dec 28, 2024 | 1.31 Bn |
| Sep 28, 2024 | 1.24 Bn |
| Jun 29, 2024 | 1.24 Bn |
| Mar 30, 2024 | 1.24 Bn |
| Dec 30, 2023 | 1.35 Bn |
| Sep 30, 2023 | 1.36 Bn |
| Jul 1, 2023 | 1.34 Bn |
| Apr 1, 2023 | 1.35 Bn |
| Dec 31, 2022 | 1.35 Bn |
| Oct 1, 2022 | 1.34 Bn |
| Jul 2, 2022 | 1.29 Bn |
| Apr 2, 2022 | 1.18 Bn |
| Jan 1, 2022 | 1.07 Bn |
| Oct 2, 2021 | 948.55 Mn |
Kulicke & Soffa Industries Retained Earnings 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=retained-earnings&ticker=KLIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=KLIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();