Flex Ltd vs Innodata Inc — how do they compare? Flex Ltd trades at $116.02 (market cap $44.09B), while Innodata Inc trades at $61.96 (market cap $2.18B). The key difference: Flex Ltd is far larger — about 20.2× Innodata Inc's market cap, and Flex Ltd 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 Flex Ltd for 3 Days and Innodata Inc for 19 Days on average.
| FLEX | INOD | |
|---|---|---|
Market Cap | $44.09B | $2.18B |
Volume | 3,022,166 | 1,415,262 |
Sector | Technology | Technology |
52-Week High | $162.07 | $121.50 |
52-Week Low | $54.51 | $34.45 |
Typical Hold Time | 3 Days | 19 Days |
Enterprise Value | $47.18B | $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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Latest headlines on both assets
Flex provides design, engineering, manufacturing, supply chain, and logistics services for technology products. It serves industries including cloud, data centers, communications, automotive, healthcare, and industrials.
Read more on FLEX →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 →