Innodata Inc vs Ferrari NV — how do they compare? Innodata Inc trades at $62.09 (market cap $2.05B), while Ferrari NV trades at $406.97 (market cap $71.67B). The key difference: Ferrari NV is far larger — about 35× Innodata Inc's market cap, and Ferrari NV pays a 1.04% dividend while Innodata Inc pays none. Which is the better fit depends on your goals.
| INOD | RACE | |
|---|---|---|
Market Cap | $2.05B | $71.67B |
Sector | Technology | Consumer Cyclical |
52-Week High | $121.50 | $504.09 |
52-Week Low | $34.45 | $314.63 |
Enterprise Value | $1.80B | $73.60B |
Dividend Yield | — | 1.04% |
Signals from Pluang's Aura AI — not financial advice
INOD trades at $61.40, down 1.33% today, but maintains a bullish technical signal with oscillators supporting upside momentum. The company reported strong Q2 2026 results, beating EPS estimates with $0.41 versus $0.21 expected, driven by 58% revenue growth and AI-driven demand expansion. Valuation ratios remain elevated with a P/E of 48.62, reflecting high growth expectations.
Outlook is positive given consistent earnings beats and AI sector tailwinds, but risks include premium valuation sensitivity and customer concentration. Analyst consensus is bullish with a $130 price target, suggesting significant upside potential if execution continues.
Ferrari (RACE) trades at $407.76, up 0.24% today, near its pivot point of $407 with bullish technical indicators. The stock shows strong fundamentals with a 22.25% net margin and consistent earnings beats, including Q2 2026 EPS of $2.99 versus $2.83 expected. Revenue growth is steady, reaching $7.15B in 2025, supported by high demand and personalization revenue.
Outlook remains positive with a consensus price target of $462.67, though elevated P/E of 37.93 poses valuation risk. Key opportunities include pricing power and EV expansion, while risks involve economic sensitivity and execution on new models. Analyst sentiment is strongly bullish with 72% buy ratings.
Trailing returns across standard periods
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 →Ferrari engineers and manufactures some of the world's most expensive exotic sports cars. The Ferrari brand is synonymous with Formula One racing, exclusivity, Italian design, and state-of-the-art technology. Ferrari also has a captive finance company that provides funding for dealers and clients.
Read more on RACE →