Garmin Ltd. vs Innodata Inc — how do they compare? Garmin Ltd. trades at $247.27 (market cap $46.62B), while Innodata Inc trades at $61.65 (market cap $2.13B). The key difference: Garmin Ltd. is far larger — about 21.9× Innodata Inc's market cap, and Garmin Ltd. pays a 1.74% dividend while Innodata Inc pays none. Which is the better fit depends on your goals.
| GRMN | INOD | |
|---|---|---|
Market Cap | $46.62B | $2.13B |
Sector | Technology | Technology |
52-Week High | $267.52 | $121.50 |
52-Week Low | $187.10 | $34.45 |
Enterprise Value | $44.09B | $2.02B |
Dividend Yield | 1.74% | — |
Signals from Pluang's Aura AI — not financial advice
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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.
Trailing returns across standard periods
Latest headlines on both assets
Garmin produces GPS-enabled hardware and software for five verticals: fitness, outdoors, auto, aviation, and marine. The company relies on licensing mapping data to enable its hardware specialized for often niche activities like scuba diving or sailing. Garmin operates in 100 countries and sells its products via distributors as well as relationships with original equipment manufacturers.
Read more on GRMN →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 →