Lam Research (LRCX) Market Capitalization (2009 - 2026)
Lam Research's Market Capitalization was $393.74 billion in fiscal Q1 2027 (quarter ended Sep 27, 2026), up 143.7% from $161.59 billion a year earlier but down 17.0% from the prior quarter.
Lam Research (LRCX) Market Capitalization (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Market Capitalization at Lam Research came in at $474.35 billion, up 284.6% from FY2025.
- Market Capitalization shows a five-year compound annual growth rate of 39.5% (FY2021 to FY2026).
- In earlier fiscal years, Market Capitalization was $123.32 billion in FY2025 (-11.2%), $138.84 billion in FY2024 (+71.1%), $81.15 billion in FY2023 (+31.6%) and $61.67 billion in FY2022 (-31.4%).
- Quarterly Market Capitalization has moved between $51.9 billion (fiscal Q1 2023) and $474.35 billion (fiscal Q4 2026) over five years.
- Compared with a year earlier, Market Capitalization has increased for five straight quarters, with growth averaging 94.2% over the last eight quarters.
- The best year-over-year quarter for Market Capitalization over five years was fiscal Q4 2026 (growth of 284.6%); the worst was fiscal Q2 2023 (a decline of 43.1%).
- Per Business Quant data, LRCX's Market Capitalization in the three fiscal quarters before Q1 2027 was $474.35 billion (Q4 2026), $264.38 billion (Q3 2026) and $222.8 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn |
| 10 | Lam Research | 277.80 Bn | 253.85 Bn | 4.30 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 393.74 Bn |
| Jun 28, 2026 | 474.35 Bn |
| Mar 29, 2026 | 264.38 Bn |
| Dec 28, 2025 | 222.80 Bn |
| Sep 28, 2025 | 161.59 Bn |
| Jun 29, 2025 | 123.32 Bn |
| Mar 30, 2025 | 93.16 Bn |
| Dec 29, 2024 | 94.32 Bn |
| Sep 29, 2024 | 106.86 Bn |
| Jun 30, 2024 | 138.84 Bn |
| Mar 31, 2024 | 127.02 Bn |
| Dec 24, 2023 | 102.40 Bn |
| Sep 24, 2023 | 81.77 Bn |
| Jun 25, 2023 | 81.15 Bn |
| Mar 26, 2023 | 67.63 Bn |
| Dec 25, 2022 | 55.80 Bn |
| Sep 25, 2022 | 51.90 Bn |
| Jun 26, 2022 | 61.67 Bn |
| Mar 27, 2022 | 76.95 Bn |
| Dec 26, 2021 | 98.01 Bn |
Lam Research Market Capitalization 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=market-capitalization&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();