Genuine Parts Company vs Innodata Inc — how do they compare? Genuine Parts Company trades at $135.22 (market cap $18.62B), while Innodata Inc trades at $62.95 (market cap $2.05B). The key difference: Genuine Parts Company is far larger — about 9.1× Innodata Inc's market cap, and Genuine Parts Company pays a 3.15% dividend while Innodata Inc pays none. Which is the better fit depends on your goals.
| GPC | INOD | |
|---|---|---|
Market Cap | $18.62B | $2.05B |
Sector | Consumer Cyclical | Technology |
52-Week High | $149.26 | $121.50 |
52-Week Low | $92.47 | $34.45 |
Enterprise Value | $24.72B | $1.80B |
Dividend Yield | 3.15% | — |
Signals from Pluang's Aura AI — not financial advice
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INOD trades at $62.33, down 4.81% over 24 hours, with a bearish technical signal from moving averages despite neutral oscillators. The company reported strong Q2 2026 earnings, beating estimates with EPS of $0.41 versus $0.21 expected, driven by 58% revenue growth and AI demand expansion. Valuation ratios remain elevated, with a P/E of 48.24 and P/S of 6.79, reflecting high growth expectations. Recent news highlights AI-driven growth and leadership transition plans.
Outlook is positive due to robust AI momentum and earnings beats, but risks include premium valuation and customer concentration. Analyst consensus is bullish with a $130 price target, suggesting significant upside from current levels. Investors should weigh growth potential against execution risks in a competitive AI services market.
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Latest headlines on both assets
Genuine Parts sells automotive parts (about two thirds of net sales) and industrial components. The company sells vehicle parts to commercial and retail customers through roughly 9,700 stores worldwide, most of which are independently owned. Its industrial unit, primarily operating under the Motion Industries banner in the United States, supplies bearings, power transmission, industrial automation, hydraulic, and pneumatic components to maintenance, repair, and OEM clients.
Read more on GPC →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 →