Friday, September 11, 2026
AI 인프라 · 뉴스 & 분석
반도체·하드웨어리포트
반도체·하드웨어 · 리포트

Lam Research는 AI 장비 수요가 지속되어 매출 성장을 뒷받침한다는 점을 인식한 로테이션 투자 자금의 유입으로 안정적인 주가 성과를 유지하고 있다.

차세대 가속기 공급을 유지하는 데 필수적인 고급 패키징 및 메모리 제조를 위한 지속적인 자본지출 사이클을 검증함.
업계 전문지Slicast · September 7, 2026 · 미국 · 출처: AD HOC NEWS
중요도 70

Lam Research Corporation (ISIN US5128071082; ticker LRCX) is trading at $307.65 on NASDAQ as of September 4, 2026, keeping the semiconductor equipment maker comfortably above the $300 threshold that retail investors have been tracking amid the broader AI hardware theme. Recent filings indicate institutional investors are actively adjusting their positions, with the latest closing price anchoring the company’s valuation near the start of September 2026. At this level, the stock remains within striking distance of its recent trading range high in the low $320 region, sitting just below its 50-day moving average of $321.34.

This price action is underpinned by robust fundamentals. For the June quarter, Lam reported revenue of $6.72 billion, representing a 30.0% year-over-year increase. The company delivered earnings per share of $1.82, surpassing consensus estimates by approximately $60 million in revenue and $0.13 in EPS, compared to prior-year EPS of $1.33. Profitability metrics remained strong, with gross margins at 51.7%, operating margins at 37.4%, net margins at 31.27%, and a return on equity of 67.60%. As detailed in a September 5, 2026 analysis of chip equipment stocks, these figures highlight the company’s ability to convert significant AI and memory equipment sales into bottom-line profit, outperforming many diversified semiconductor peers.

Management’s forward outlook reinforces confidence in sustained demand. According to market commentary published around September 5 and 6, 2026, Lam has issued first-quarter fiscal 2027 guidance projecting EPS between $2.00 and $2.30, a notable step up from the June quarter’s $1.82. This guidance reflects management’s expectation that demand for wafer fabrication and etch equipment tied to AI data centers and advanced memory production will remain resilient.

On the capital return front, Lam recently increased its quarterly dividend to $0.33 per share, up from $0.26, marking a rise of more than 26%. The annualized dividend now stands at $1.32 per share, translating to a yield of approximately 0.4% at the current $307.65 price point. With a payout ratio of 22.92%, the company continues to return less than a quarter of its earnings to shareholders, preserving capital for reinvestment in research, development, and capacity expansion. This strategy aligns with the multi-year order cycles driving chip equipment suppliers, particularly those supplying AI accelerators, high-bandwidth memory, and advanced logic nodes.

Market commentary from early September 2026 notes that Lam Research and key peers have posted gains in the 20% to 30% range at various points throughout the year. Investors have increasingly utilized these names as primary vehicles to participate in the AI hardware cycle, even as leading chip designers like Nvidia experience more volatile trading phases. Lam’s performance is anchored by its core product portfolio: advanced etch and deposition tools essential for fabricating semiconductor wafers in memory and logic applications that power AI and cloud computing workloads. The direct correlation between these systems and multi-billion-dollar revenue streams with double-digit margins keeps investor sentiment tightly linked to the capital expenditure plans of major memory and logic manufacturers.

From a technical perspective, Lam’s shares trade above their 200-day moving average of $291.39 but remain below the 50-day average of $321.34, suggesting a constructive long-term uptrend currently undergoing consolidation beneath recent short-term highs. Given the modest 0.4% yield, market focus remains squarely on earnings growth and strategic leverage in AI equipment rather than income generation. At a market capitalization derived from its latest trading close, Lam Research remains a constituent of major U.S. semiconductor and technology indices, including NASDAQ-based benchmarks, continuing to serve as a critical bellwether for the AI-driven infrastructure buildout.

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