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Compare GameStop Corp. (GME) vs Innodata Inc (INOD) Price & Performance

GameStop Corp.Trade
Innodata IncTrade

Price performance (Past 24H)

Key statistics

GameStop Corp. vs Innodata Inc — how do they compare? GameStop Corp. trades at $22.37 (market cap $9.99B), while Innodata Inc trades at $60.83 (market cap $2.13B). The key difference: GameStop Corp. is far larger — about 4.7× Innodata Inc's market cap. Which is the better fit depends on your goals.

GMEINOD
Market Cap
$9.99B$2.13B
Sector
Consumer CyclicalTechnology
52-Week High
$27.69$121.50
52-Week Low
$19.94$34.45
Enterprise Value
$5.96B$2.02B

Aura AI Summary

Signals from Pluang's Aura AI — not financial advice

GameStop Corp.

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 GameStop Corp.

Global Market Group Ltd. operates an Internet website that connects Chinese manufacturers with international buyers. The Company's customers can post company profiles and product information in standardized formats; post product listings; and trade leads.

Read more on GME

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