Lam Research Rides Semiconductor Super-Cycle with Record Revenue and Margins
•1 min read
Revenue
$3.85B ( YoY, QoQ) with systems at $2.72B and services at $1.13B
↑+53.6%
Rd Spend
$381M ( YoY) at of revenue
↑+21%
Net Income
$1.07B ( YoY) with net margin
↑+88%
Gross Margin
(+110bps YoY) despite supply chain headwinds
↑46.3%
Free Cash Flow
$1.15B ( conversion rate)
↑30%
Operating Margin
(+280bps YoY) with strong operational leverage
↑31.1%
Growth Indicators
Record levels extending into 2022
Win Rates↑65% in sub-5nm nodes
Installed Base↑Growing 12% YoY
Lam Research delivered exceptional Q1 2021 results with revenue surging 53.6% YoY to $3.85B, driven by robust demand across memory and foundry/logic segments. Gross margins expanded 110bps to 46.3% despite supply chain constraints, reflecting strong pricing power and operational execution. The company's systems revenue grew 63.7% YoY, indicating accelerating semiconductor capital equipment demand. Forward-looking indicators suggest continued momentum with record backlog and customer commitments extending into 2022.
Key Risks
24% revenue exposure to China amid trade tensions
Top 3 customers represent 45% of revenue
Supply chain constraints impacting margins by 120bps
5G and automotive driving $75B+ WFE spending in 2021
Advanced packaging TAM expanding at 15% CAGR
Services portfolio expansion with 85%+ attachment rates
Geographic diversification reducing China concentration
Bottom Line
Lam Research's Q1 results demonstrate both cyclical strength and structural improvements in its competitive position. The combination of technology leadership, operational excellence, and expanding market opportunities suggests sustainable growth beyond typical semiconductor cycles. Key metrics to watch include systems revenue mix shift toward leading-edge nodes, services attachment rates, and gross margin progression against supply chain headwinds. The contrarian insight is that current valuation may underestimate the company's expanding role in enabling semiconductor scaling beyond conventional Moore's Law approaches.