Lam Research (LRCX) Enterprise Value (2009 - 2026)
Lam Research (LRCX) reported Enterprise Value of $386.31 billion for fiscal Q1 2027 (quarter ended Sep 27, 2026), up 149.4% from $154.9 billion a year earlier but down 17.6% from the prior quarter.
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Analysis
Lam Research (LRCX) Enterprise Value (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 27, 2026, Lam Research's Enterprise Value came in at $369.8 billion, up 169.2% year-over-year; for FY2026 (ended Jun 28, 2026), it was $468.77 billion, up 300.9% from FY2025.
- Enterprise Value has a five-year compound annual growth rate of 40.6% (FY2021 to FY2026).
- By fiscal year, Enterprise Value came in at $116.93 billion in FY2025 (-12.1%), $132.99 billion in FY2024 (+75.4%), $75.81 billion in FY2023 (+30.4%) and $58.14 billion in FY2022 (-31.9%).
- Five-year quarterly Enterprise Value spans a low of $47.65 billion in fiscal Q1 2023 and a high of $468.77 billion in fiscal Q4 2026.
- Year over year, Enterprise Value has now increased in each of the last five quarters, with growth averaging 99.5% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was fiscal Q4 2026 (growth of 300.9%); the low point was fiscal Q2 2023 (a decline of 44.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $468.77 billion (Q4 2026), $259.63 billion (Q3 2026) and $216.62 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 386.31 Bn |
| Jun 28, 2026 | 468.77 Bn |
| Mar 29, 2026 | 259.63 Bn |
| Dec 28, 2025 | 216.62 Bn |
| Sep 28, 2025 | 154.90 Bn |
| Jun 29, 2025 | 116.93 Bn |
| Mar 30, 2025 | 87.70 Bn |
| Dec 29, 2024 | 88.65 Bn |
| Sep 29, 2024 | 100.79 Bn |
| Jun 30, 2024 | 132.99 Bn |
| Mar 31, 2024 | 121.35 Bn |
| Dec 24, 2023 | 96.77 Bn |
| Sep 24, 2023 | 76.64 Bn |
| Jun 25, 2023 | 75.81 Bn |
| Mar 26, 2023 | 62.32 Bn |
| Dec 25, 2022 | 51.31 Bn |
| Sep 25, 2022 | 47.65 Bn |
| Jun 26, 2022 | 58.14 Bn |
| Mar 27, 2022 | 72.76 Bn |
| Dec 26, 2021 | 92.92 Bn |
API Access
Lam Research Enterprise Value 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=enterprise-value&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();