Graham Holdings Company Common Stock vs Innodata Inc — how do they compare? Graham Holdings Company Common Stock trades at $1,186.01 (market cap $4.97B), while Innodata Inc trades at $51.81 (market cap $2.01B). The key difference: Graham Holdings Company Common Stock is far larger — about 2.5× Innodata Inc's market cap, and Graham Holdings Company Common Stock pays a 0.64% dividend while Innodata Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Graham Holdings Company Common Stock for 0 Days and Innodata Inc for 20 Days on average.
| GHC | INOD | |
|---|---|---|
Market Cap | $4.97B | $2.01B |
Volume | 27,383 | 722,859 |
Sector | Industrials | Technology |
52-Week High | $1.23K | $121.50 |
52-Week Low | $949.84 | $34.45 |
Typical Hold Time | 0 Days | 20 Days |
Enterprise Value | $5.06B | $1.76B |
Dividend Yield | 0.64% | — |
Signals from Pluang's Aura AI — not financial advice
No Aura AI signal available yet.
INOD is trading at $58.38, down 2.55% with a bearish technical signal despite recent earnings beats. The company shows strong fundamentals with 42.71% gross margins and 37.74% ROE, while expanding into motion-capture AI labs and agentic reinforcement learning. Analyst consensus remains positive with 66.7% buy ratings, though valuation metrics appear elevated with a P/E of 45.26.
The outlook balances strong AI services growth against premium valuation concerns. Investment opportunity lies in continued execution on AI data engineering contracts with major tech companies, while risks include customer concentration and competitive pressures in the rapidly evolving AI infrastructure market.
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Graham Holdings Company is a diversified holding company with operations spanning education services (Kaplan), television broadcasting (Graham Media Group), healthcare services, and manufacturing, among other businesses; it was formerly known as The Washington Post Company.
Read more on GHC →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 →