Compare Innodata Inc (INOD) vs Lam Research Corporation (LRCX) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Innodata Inc vs Lam Research Corporation — how do they compare? Innodata Inc trades at $62.04 (market cap $2.10B), while Lam Research Corporation trades at $318.84 (market cap $401.19B). The key difference: Lam Research Corporation is far larger — about 191× Innodata Inc's market cap, and Lam Research Corporation pays a 0.41% dividend while Innodata Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Innodata Inc for 19 Days and Lam Research Corporation for 60 Days on average.
| INOD | LRCX | |
|---|---|---|
Market Cap | $2.10B | $401.19B |
Volume | 989,493 | 8,960,892 |
Sector | Technology | Technology |
52-Week High | $121.50 | $433.33 |
52-Week Low | $34.45 | $131.37 |
Typical Hold Time | 19 Days | 60 Days |
Enterprise Value | $1.86B | $399.35B |
Dividend Yield | — | 0.41% |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
INOD is trading at $61.20, down 3.49% today, showing bearish technical signals despite strong fundamental performance. The company has consistently beaten earnings expectations in recent quarters with Q1 2026 EPS of $0.42 versus $0.13 expected. Revenue growth accelerated from $252M in 2025 to $317M in 2026, while net profit margins improved from 12.78% to 14.65%. Recent developments include the opening of a motion-capture AI lab and board appointments strengthening cybersecurity expertise.
The stock presents a growth opportunity with strong AI data engineering positioning and expanding margins, but faces headwinds from premium valuation (P/E 47.43) and technical weakness. Key risks include customer concentration and competitive pressures in the AI services sector. Analyst consensus remains bullish with 4 buy ratings versus 2 holds, suggesting potential upside if execution continues.
Lam Research (LRCX) trades at $320.59, down 2.71% on the day, amid a bearish technical signal despite strong fundamentals. The company reported robust earnings beats in recent quarters, with Q2 2026 EPS of $1.82 surpassing the $1.69 estimate, and maintains high profitability with a net income margin of 31.27%. Revenue growth is accelerating, reaching $18.44 billion in 2025, supported by AI-driven demand for semiconductor equipment. Analyst consensus remains strongly bullish with a $375.68 price target, though technical indicators show mixed signals with key support at $314.
LRCX presents a compelling long-term investment opportunity driven by AI infrastructure spending and operational efficiency, but faces near-term volatility from technical bearishness and macroeconomic headwinds. Risks include cyclical semiconductor demand and competitive pressures, yet strong institutional support and consistent earnings outperformance underpin upside potential toward analyst targets.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About Innodata Inc
Innodata is a global data engineering company that provides solutions for training AI models. It helps enterprises solve complex data challenges through high-quality data annotation and digital transformation.
Read more on INOD →About Lam Research Corporation
Lam Research manufactures equipment used to fabricate semiconductors. The firm is focused on the etching, deposition, and clean markets, which are key steps in the semiconductor manufacturing process, especially for 3D NAND flash storage, advanced DRAM, and leading-edge logic/foundry chipmakers. Lam's flagship Kiyo, Vector, and Sabre products are sold in all major geographies to key customers such as Samsung Electronics, Micron, Intel, and Taiwan Semiconductor Manufacturing.
Read more on LRCX →
