FMC Corp vs Innodata Inc — how do they compare? FMC Corp trades at $10.5 (market cap $1.30B), while Innodata Inc trades at $62.95 (market cap $2.05B). The key difference: Innodata Inc is the larger of the two by market cap, and FMC Corp pays a 3.07% dividend while Innodata Inc pays none. Which is the better fit depends on your goals.
| FMC | INOD | |
|---|---|---|
Market Cap | $1.30B | $2.05B |
Sector | Basic Materials | Technology |
52-Week High | $40.69 | $121.50 |
52-Week Low | $10.01 | $34.45 |
Enterprise Value | $5.11B | $1.80B |
Dividend Yield | 3.07% | — |
Signals from Pluang's Aura AI — not financial advice
No Aura AI signal available yet.
INOD trades at $62.33, down 4.81% over 24 hours, with a bearish technical signal from moving averages despite neutral oscillators. The company reported strong Q2 2026 earnings, beating estimates with EPS of $0.41 versus $0.21 expected, driven by 58% revenue growth and AI demand expansion. Valuation ratios remain elevated, with a P/E of 48.24 and P/S of 6.79, reflecting high growth expectations. Recent news highlights AI-driven growth and leadership transition plans.
Outlook is positive due to robust AI momentum and earnings beats, but risks include premium valuation and customer concentration. Analyst consensus is bullish with a $130 price target, suggesting significant upside from current levels. Investors should weigh growth potential against execution risks in a competitive AI services market.
Trailing returns across standard periods
FMC is a pure-play crop chemical company. The company has diversified its sales to create a balanced crop chemical portfolio across geographies and crop exposure. Through acquisitions, FMC is now one of the five largest patented crop chemical companies and will continue to develop new products, with a focus on biologicals, through its research and development pipeline.
Read more on FMC →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 →