Compare Global X MSCI Argentina ETF (ARGT) vs Innodata Inc (INOD) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Global X MSCI Argentina ETF vs Innodata Inc — how do they compare? Global X MSCI Argentina ETF trades at $91.63, while Innodata Inc trades at $62.33 (market cap $2.05B). The key difference: Global X MSCI Argentina ETF is trading nearer its 52-week high, Innodata Inc nearer its low. Which is the better fit depends on your goals.
| ARGT | INOD | |
|---|---|---|
Sector | Broad Market / Factor | Technology |
52-Week High | $102.94 | $121.50 |
52-Week Low | $67.55 | $34.45 |
Market Cap | — | $2.05B |
Enterprise Value | — | $1.80B |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
No Aura AI signal available yet.
INOD trades at $61.40, down 1.33% today, but maintains a bullish technical signal with oscillators supporting upside momentum. The company reported strong Q2 2026 results, beating EPS estimates with $0.41 versus $0.21 expected, driven by 58% revenue growth and AI-driven demand expansion. Valuation ratios remain elevated with a P/E of 48.62, reflecting high growth expectations.
Outlook is positive given consistent earnings beats and AI sector tailwinds, but risks include premium valuation sensitivity and customer concentration. Analyst consensus is bullish with a $130 price target, suggesting significant upside potential if execution continues.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
About Global X MSCI Argentina ETF
ARGT seeks to provide investment results that correspond to the performance of the MSCI All Argentina 25/50 Index. It offers targeted exposure to some of the largest and most liquid companies operating in Argentina.
Read more on ARGT →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 →
