Kulicke & Soffa Industries (KLIC) Exchange Rate Effect (2010 - 2026)
Kulicke & Soffa Industries (KLIC) recorded Exchange Rate Effect of $565,000 in fiscal Q3 2026 (quarter ended Jul 4, 2026), down 78.7% from $2.65 million a year earlier but up 48.7% from the prior quarter.
Kulicke & Soffa Industries (KLIC) Exchange Rate Effect (2010 - 2026) Analysis & Trends
On a TTM basis, Kulicke & Soffa Industries' Exchange Rate Effect came in at -$312,000 as of Jul 4, 2026; for FY2025 (ended Oct 4, 2025), it came in at $405,000, down 69.1% from FY2024.
- Annual Exchange Rate Effect has a five-year compound annual growth rate of -20.8% (FY2020 to FY2025).
- Across earlier fiscal years, Exchange Rate Effect came in at $1.31 million in FY2024 (-64.4%), $3.68 million in FY2023, -$10.05 million in FY2022 and $594,000 in FY2021 (-54.2%).
- Quarterly Exchange Rate Effect has ranged from -$4.33 million in fiscal Q3 2022 to $5.1 million in fiscal Q1 2023 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at $380,000 (Q2 2026), -$84,000 (Q1 2026) and -$1.17 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (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 | 73.00 Mn |
| 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 | -2.06 Mn |
| 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 | 565,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 565,000.00 |
| Apr 4, 2026 | 380,000.00 |
| Jan 3, 2026 | -84,000.00 |
| Oct 4, 2025 | -1.17 Mn |
| Jun 28, 2025 | 2.65 Mn |
| Mar 29, 2025 | 238,000.00 |
| Dec 28, 2024 | -1.31 Mn |
| Sep 28, 2024 | 965,000.00 |
| Jun 29, 2024 | -389,000.00 |
| Mar 30, 2024 | -521,000.00 |
| Dec 30, 2023 | 1.25 Mn |
| Sep 30, 2023 | -764,000.00 |
| Jul 1, 2023 | -1.30 Mn |
| Apr 1, 2023 | 633,000.00 |
| Dec 31, 2022 | 5.10 Mn |
| Oct 1, 2022 | -3.98 Mn |
| Jul 2, 2022 | -4.33 Mn |
| Apr 2, 2022 | -1.36 Mn |
| Jan 1, 2022 | -384,000.00 |
| Oct 2, 2021 | -383,000.00 |
Kulicke & Soffa Industries Exchange Rate Effect 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=exchange-rate-effect&ticker=KLIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=KLIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();