Corning Incorporated vs Innodata Inc — how do they compare? Corning Incorporated trades at $157.34 (market cap $150.10B), while Innodata Inc trades at $60.99 (market cap $2.13B). The key difference: Corning Incorporated is far larger — about 70.5× Innodata Inc's market cap, and Corning Incorporated pays a 0.64% dividend while Innodata Inc pays none. Which is the better fit depends on your goals.
| GLW | INOD | |
|---|---|---|
Market Cap | $150.10B | $2.13B |
Sector | Technology | Technology |
52-Week High | $255.79 | $121.50 |
52-Week Low | $52.97 | $34.45 |
Enterprise Value | $158.27B | $2.02B |
Dividend Yield | 0.64% | — |
Signals from Pluang's Aura AI — not financial advice
No Aura AI signal available yet.
INOD is trading at $62.29, down 7.22% today amid bearish technical signals despite strong fundamental performance. The stock shows impressive revenue growth with 2025 revenue of $251.66M and net income of $32.18M, while consistently beating earnings expectations. Analyst consensus remains bullish with a $130 price target, though valuation metrics appear elevated with a P/E of 58.31 and P/S of 8.11. Recent news highlights AI-driven growth momentum and expanding customer diversification.
The outlook remains positive given strong AI demand and earnings momentum, but risks include high valuation multiples and customer concentration. Technical weakness suggests near-term pressure, though fundamental growth drivers support long-term potential. Investors should weigh robust profitability metrics against premium pricing and market volatility concerns.
Trailing returns across standard periods
Corning Inc is a leader in materials science, specializing in the production of glass, ceramics and optical fiber. The firm supplies its products for a wide range of applications, from flat-panel displays in televisions to gasoline particulate filters in automobiles to optical fiber for broadband access, with a leading share in many of its end markets.
Read more on GLW →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 →