Ferguson Enterprises Inc. Common Stock vs Innodata Inc — how do they compare? Ferguson Enterprises Inc. Common Stock trades at $222 (market cap $43.11B), while Innodata Inc trades at $51.93 (market cap $2.01B). The key difference: Ferguson Enterprises Inc. Common Stock is far larger — about 21.4× Innodata Inc's market cap, and Ferguson Enterprises Inc. Common Stock pays a 1.6% dividend while Innodata Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Ferguson Enterprises Inc. Common Stock for 0 Days and Innodata Inc for 20 Days on average.
| FERG | INOD | |
|---|---|---|
Market Cap | $43.11B | $2.01B |
Volume | 945,793 | 722,859 |
Sector | Industrials | Technology |
52-Week High | $267.71 | $121.50 |
52-Week Low | $214.26 | $34.45 |
Typical Hold Time | 0 Days | 20 Days |
Enterprise Value | $49.56B | $1.76B |
Dividend Yield | 1.6% | — |
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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Latest headlines on both assets
Ferguson Enterprises, Inc. distributes plumbing, HVAC, waterworks, and related building products to professional contractors, builders, and facility managers across North America, operating through branches, showrooms, and digital commerce.
Read more on FERG →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 →