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Compare Gogoro Inc (GGR) vs Innodata Inc (INOD) Price & Performance

Gogoro IncTrade
Innodata IncTrade

Price performance (Past 24H)

Key statistics

Gogoro Inc vs Innodata Inc — how do they compare? Gogoro Inc trades at $3.86 (market cap $77.38M), while Innodata Inc trades at $60.86 (market cap $2.13B). The key difference: Innodata Inc is far larger — about 27.5× Gogoro Inc's market cap. Which is the better fit depends on your goals.

GGRINOD
Market Cap
$77.38M$2.13B
Sector
TechnologyTechnology
52-Week High
$7.89$121.50
52-Week Low
$2.74$34.45
Enterprise Value
$379.83M$2.02B

Aura AI Summary

Signals from Pluang's Aura AI — not financial advice

Gogoro Inc

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 Gogoro Inc

Gogoro is a global technology leader in battery-swapping ecosystems for electric two-wheelers. It provides smart, sustainable urban mobility solutions and manages an extensive network of battery stations.

Read more on GGR

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