Franklin FTSE South Korea ETF vs Innodata Inc — how do they compare? Franklin FTSE South Korea ETF trades at $58.12 (market cap $1.83B), while Innodata Inc trades at $61.5 (market cap $2.10B). The key difference: Franklin FTSE South Korea ETF and Innodata Inc are close in size by market cap, and Franklin FTSE South Korea ETF is trading nearer its 52-week high, Innodata Inc nearer its low. Which is the better fit depends on your goals — on Pluang, investors hold Franklin FTSE South Korea ETF for 16 Days and Innodata Inc for 19 Days on average.
| FLKR | INOD | |
|---|---|---|
Market Cap | $1.83B | $2.10B |
Volume | 679,902 | 989,493 |
Sector | Broad Market / Factor | Technology |
52-Week High | $72.25 | $121.50 |
52-Week Low | $27.09 | $34.45 |
Typical Hold Time | 16 Days | 19 Days |
Enterprise Value | — | $1.86B |
Signals from Pluang's Aura AI — not financial advice
No Aura AI signal available yet.
Innodata (INOD) trades at $60.80, down 4.12% today amid bearish technical signals. The stock shows strong fundamentals with consistent earnings beats and robust profitability (37.74% ROE, 14.66% net margin). Recent quarterly results exceeded expectations, with Q1 2026 EPS of $0.42 beating estimates by 223%. The company is expanding into motion-capture AI and agentic reinforcement learning, positioning for growth in the AI infrastructure sector.
Despite premium valuations (P/E 47.43), INOD's strong execution and AI market positioning offer upside potential. Key risks include customer concentration and competitive pressures. Analyst consensus is bullish (66.7% buy ratings), though technical indicators suggest near-term caution with the stock trading below key resistance levels.
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Franklin FTSE South Korea ETF seeks to track an index of South Korean equities. The fund provides exposure to companies listed in South Korea across multiple sectors.
Read more on FLKR →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 →