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Compare iShares MSCI Malaysia ETF (EWM) vs Innodata Inc (INOD) Price & Performance

iShares MSCI Malaysia ETFTrade
Innodata IncTrade

Price performance (Past 24H)

Key statistics

iShares MSCI Malaysia ETF vs Innodata Inc — how do they compare? iShares MSCI Malaysia ETF trades at $28.04, while Innodata Inc trades at $61.58 (market cap $2.13B). The key difference: iShares MSCI Malaysia ETF is trading nearer its 52-week high, Innodata Inc nearer its low. Which is the better fit depends on your goals.

EWMINOD
Sector
Broad Market / FactorTechnology
52-Week High
$30.42$121.50
52-Week Low
$23.49$34.45
Market Cap
$2.13B
Enterprise Value
$2.02B

Aura AI Summary

Signals from Pluang's Aura AI — not financial advice

iShares MSCI Malaysia ETF

No Aura AI signal available yet.

Innodata Inc

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.

Returns comparison

Trailing returns across standard periods

About iShares MSCI Malaysia ETF

EWM tracks the MSCI Malaysia Index, providing exposure to the Malaysian equity market. It offers a diversified portfolio of large and mid-sized companies across various sectors in Malaysia.

Read more on EWM

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