Quest Diagnostics Inc vs Innodata Inc — how do they compare? Quest Diagnostics Inc trades at $204.84 (market cap $22.80B), while Innodata Inc trades at $66.79 (market cap $2.19B). The key difference: Quest Diagnostics Inc is far larger — about 10.4× Innodata Inc's market cap, and Quest Diagnostics Inc pays a 1.67% dividend while Innodata Inc pays none. Which is the better fit depends on your goals.
| DGX | INOD | |
|---|---|---|
Market Cap | $22.80B | $2.19B |
Sector | Health | Technology |
52-Week High | $216.02 | $121.50 |
52-Week Low | $166.42 | $34.45 |
Enterprise Value | $28.82B | $2.08B |
Dividend Yield | 1.67% | — |
Signals from Pluang's Aura AI — not financial advice
No Aura AI signal available yet.
INOD trades at $68.12, up 0.47% today but down 33% over the past month. The stock shows strong fundamentals with revenue growth to $252M in 2025 and net income of $32M, while beating EPS estimates in recent quarters. Technical indicators signal a bearish trend, with resistance at $69 and support at $67. Recent news highlights AI-driven growth and a new CFO appointment.
Outlook remains positive due to AI demand and raised guidance, but high valuation (P/E 59.89) and customer concentration pose risks. Analyst consensus is bullish with a $130 price target, suggesting significant upside potential if execution continues.
Trailing returns across standard periods
Quest Diagnostics is a leading independent provider of diagnostic testing, information, and services in the U.S. The company generates over 95% of its revenue through clinical testing, anatomic pathology, esoteric testing, and substance abuse testing with specimens collected at its national network of roughly 2,300 patient service centers, as well as multiple doctors offices and hospitals. The firm also runs a much smaller diagnostic solutions segment that provides clinical trials testing, risk assessment services, and information technology solutions.
Read more on DGX →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 →