Lam Research (LRCX) Exchange Rate Effect (2009 - 2026)
Lam Research (LRCX) posted Exchange Rate Effect of -$2.06 million for fiscal Q4 2026 (quarter ended Jun 28, 2026), compared with $29.28 million a year earlier.
Lam Research (LRCX) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Lam Research's Exchange Rate Effect came in at -$27.43 million.
- In prior fiscal years, Lam Research's Exchange Rate Effect was $28.32 million in FY2025, -$22.37 million in FY2024, $128,000 in FY2023 and -$30.23 million in FY2022.
- Quarterly Exchange Rate Effect has run from a low of -$26.02 million in fiscal Q2 2025 to a high of $29.28 million in fiscal Q4 2025 over five years.
- According to Business Quant data, Exchange Rate Effect for the three prior fiscal quarters was -$4.98 million (Q3 2026), -$13.34 million (Q2 2026) and -$7.06 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | -231.60 Mn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | - |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 3.00 Mn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | - |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | - |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | -2.06 Mn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | - |
| 10 | Arm Holdings | 310.17 Bn | 295.88 Bn | 1.25 Bn | -2.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -2.06 Mn |
| Mar 29, 2026 | -4.98 Mn |
| Dec 28, 2025 | -13.34 Mn |
| Sep 28, 2025 | -7.06 Mn |
| Jun 29, 2025 | 29.28 Mn |
| Mar 30, 2025 | 2.38 Mn |
| Dec 29, 2024 | -26.02 Mn |
| Sep 29, 2024 | 22.68 Mn |
| Jun 30, 2024 | -9.62 Mn |
| Mar 31, 2024 | -8.45 Mn |
| Dec 24, 2023 | 6.73 Mn |
| Sep 24, 2023 | -11.03 Mn |
| Jun 25, 2023 | 1.48 Mn |
| Mar 26, 2023 | -2.30 Mn |
| Dec 25, 2022 | 17.88 Mn |
| Sep 25, 2022 | -16.93 Mn |
| Jun 26, 2022 | -16.68 Mn |
| Mar 27, 2022 | -5.09 Mn |
| Dec 26, 2021 | -4.68 Mn |
| Sep 26, 2021 | -3.78 Mn |
Lam Research 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=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "LRCX", "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=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();