ImmunityBio Inc. Common Stock vs Innodata Inc — how do they compare? ImmunityBio Inc. Common Stock trades at $10.01 (market cap $10.33B), while Innodata Inc trades at $62.06 (market cap $2.18B). The key difference: ImmunityBio Inc. Common Stock is far larger — about 4.7× Innodata Inc's market cap, and ImmunityBio Inc. Common Stock is trading nearer its 52-week high, Innodata Inc nearer its low. Which is the better fit depends on your goals — on Pluang, investors hold ImmunityBio Inc. Common Stock for 0 Days and Innodata Inc for 19 Days on average.
| IBRX | INOD | |
|---|---|---|
Market Cap | $10.33B | $2.18B |
Volume | 11,745,198 | 1,415,262 |
Sector | Health | Technology |
52-Week High | $11.55 | $121.50 |
52-Week Low | $1.98 | $34.45 |
Typical Hold Time | 0 Days | 19 Days |
Enterprise Value | $10.79B | $1.93B |
Signals from Pluang's Aura AI — not financial advice
No Aura AI signal available yet.
INOD trades at $63.42, down 4.26% today, but maintains strong technical support near $63. The company demonstrates robust fundamentals with revenue growing from $252M in 2025 to $317M in 2026 and net income expanding from $32M to $46M. Recent quarterly earnings consistently beat expectations, with Q1 2026 EPS of $0.42 surpassing the $0.13 estimate. Analyst sentiment remains positive with a 66.7% buy rating consensus.
INOD presents growth potential through its AI data engineering services and new motion-capture lab expansion, though premium valuation metrics (P/E 49.12, P/S 6.91) and customer concentration risks warrant caution. The stock's technical positioning near key support levels combined with strong earnings momentum supports a constructive outlook for investors seeking AI infrastructure exposure.
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ImmunityBio develops immune-based therapies for cancer and infectious diseases. Its programs are designed to activate and strengthen the body’s immune response.
Read more on IBRX →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 →