Kulicke & Soffa Industries (KLIC) Tax Provisions (2010 - 2026)
Kulicke & Soffa Industries (KLIC) recorded Tax Provisions of $15.35 million in fiscal Q3 2026 (quarter ended Jul 4, 2026), up 383.9% from $3.17 million a year earlier and up 108.5% from the prior quarter.
Kulicke & Soffa Industries (KLIC) Tax Provisions (2010 - 2026) Analysis & Trends
On a TTM basis, Kulicke & Soffa Industries' Tax Provisions came in at $28.77 million as of Jul 4, 2026, up 60.7% year-over-year; for FY2025 (ended Oct 4, 2025), it came in at $20.26 million, up 90.2% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- Across earlier fiscal years, Tax Provisions came in at $10.65 million in FY2024 (-29.2%), $15.05 million in FY2023 (-65.3%), $43.44 million in FY2022 (-8.1%) and $47.3 million in FY2021 (+294.2%).
- The fiscal Q3 2026 figure is the highest quarterly Tax Provisions since fiscal Q1 2022.
- On a year-over-year basis, Tax Provisions rose in three of the last six quarters, with growth averaging 121.9%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 397.7% in fiscal Q1 2025, against a decline of 97.1% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $7.36 million (Q2 2026), $5.74 million (Q1 2026) and $322,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 11.82 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 4.92 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 2.19 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 6.58 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 252.00 Mn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | - |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 29.00 Mn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 277.86 Mn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 369.00 Mn |
| 10 | Kulicke & Soffa Industries | 4.25 Bn | 2.26 Bn | 157.95 Mn | 15.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 15.35 Mn |
| Apr 4, 2026 | 7.36 Mn |
| Jan 3, 2026 | 5.74 Mn |
| Oct 4, 2025 | 322,000.00 |
| Jun 28, 2025 | 3.17 Mn |
| Mar 29, 2025 | 5.44 Mn |
| Dec 28, 2024 | 11.33 Mn |
| Sep 28, 2024 | -2.03 Mn |
| Jun 29, 2024 | 4.05 Mn |
| Mar 30, 2024 | 6.36 Mn |
| Dec 30, 2023 | 2.28 Mn |
| Sep 30, 2023 | 5.59 Mn |
| Jul 1, 2023 | 148,000.00 |
| Apr 1, 2023 | 5.56 Mn |
| Dec 31, 2022 | 3.76 Mn |
| Oct 1, 2022 | 6.63 Mn |
| Jul 2, 2022 | 5.17 Mn |
| Apr 2, 2022 | 13.71 Mn |
| Jan 1, 2022 | 17.94 Mn |
| Oct 2, 2021 | 21.57 Mn |
Kulicke & Soffa Industries Tax Provisions 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=tax-provisions&ticker=KLIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=KLIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();