Compare Infosys Limited (INFY) vs Innodata Inc (INOD) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Infosys Limited vs Innodata Inc — how do they compare? Infosys Limited trades at $12.19 (market cap $50.55B), while Innodata Inc trades at $62.2 (market cap $2.05B). The key difference: Infosys Limited is far larger — about 24.7× Innodata Inc's market cap, and Infosys Limited pays a 4.16% dividend while Innodata Inc pays none. Which is the better fit depends on your goals.
| INFY | INOD | |
|---|---|---|
Market Cap | $50.55B | $2.05B |
Sector | Technology | Technology |
52-Week High | $20.22 | $121.50 |
52-Week Low | $10.49 | $34.45 |
Enterprise Value | $48.30B | $1.80B |
Dividend Yield | 4.16% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
INFY trades at $12.17, down 3.11% today, with mixed technical signals: a bullish moving average trend but overbought RSI levels. The company reported a Q2 2026 EPS miss but beat in prior quarters, maintaining strong profitability with a 16.37% net margin. Recent news highlights AI collaborations and a CEO transition, while institutional activity shows both buying and selling.
Outlook is cautious due to near-term revenue softness and lowered growth guidance, though solid cash flow and margins provide support. Risks include competitive pressures and macroeconomic headwinds. Analysts are mixed with a consensus price target of $11.05, suggesting limited upside from current levels.
No Aura AI signal available yet.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
About Infosys Limited
Infosys is a global leader in next-generation digital services and consulting. It enables clients in more than 50 countries to navigate their digital transformation through AI-powered cloud and data solutions.
Read more on INFY →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 →
