Geo Group Inc (The) REIT vs Innodata Inc — how do they compare? Geo Group Inc (The) REIT trades at $30.88 (market cap $4.07B), while Innodata Inc trades at $61.34 (market cap $2.10B). The key difference: Geo Group Inc (The) REIT is the larger of the two by market cap, and Geo Group Inc (The) REIT 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 Geo Group Inc (The) REIT for 0 Days and Innodata Inc for 19 Days on average.
| GEO | INOD | |
|---|---|---|
Market Cap | $4.07B | $2.10B |
Volume | 3,991,492 | 989,493 |
Sector | Industrials | Technology |
52-Week High | $32.77 | $121.50 |
52-Week Low | $13.26 | $34.45 |
Typical Hold Time | 0 Days | 19 Days |
Enterprise Value | $5.63B | $1.86B |
Signals from Pluang's Aura AI — not financial advice
No Aura AI signal available yet.
Innodata (INOD) trades at $60.80, down 4.12% today amid bearish technical signals. The stock shows strong fundamentals with consistent earnings beats and robust profitability (37.74% ROE, 14.66% net margin). Recent quarterly results exceeded expectations, with Q1 2026 EPS of $0.42 beating estimates by 223%. The company is expanding into motion-capture AI and agentic reinforcement learning, positioning for growth in the AI infrastructure sector.
Despite premium valuations (P/E 47.43), INOD's strong execution and AI market positioning offer upside potential. Key risks include customer concentration and competitive pressures. Analyst consensus is bullish (66.7% buy ratings), though technical indicators suggest near-term caution with the stock trading below key resistance levels.
Trailing returns across standard periods
What Pluang investors did over the last 30 days
The GEO Group provides correctional, detention, and community reentry services. Its operations include secure facilities, electronic monitoring, and support programs for individuals in the criminal-justice system.
Read more on GEO →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 →