Equinox Gold Corp. Common Shares vs Innodata Inc — how do they compare? Equinox Gold Corp. Common Shares trades at $11.4 (market cap $12.80B), while Innodata Inc trades at $62.06 (market cap $2.18B). The key difference: Equinox Gold Corp. Common Shares is far larger — about 5.9× Innodata Inc's market cap, and Equinox Gold Corp. Common Shares pays a 0.48% dividend while Innodata Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Equinox Gold Corp. Common Shares for 0 Days and Innodata Inc for 19 Days on average.
| EQX | INOD | |
|---|---|---|
Market Cap | $12.80B | $2.18B |
Volume | 8,210,537 | 1,415,262 |
Sector | Basic Materials | Technology |
52-Week High | $18.76 | $121.50 |
52-Week Low | $8.62 | $34.45 |
Typical Hold Time | 0 Days | 19 Days |
Enterprise Value | $12.90B | $1.93B |
Dividend Yield | 0.48% | — |
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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Equinox Gold is a gold mining company with operations in the Americas. It produces gold and develops additional mining projects.
Read more on EQX →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 →