AES Corp vs Innodata Inc — how do they compare? AES Corp trades at $14.72 (market cap $10.49B), while Innodata Inc trades at $62.99 (market cap $2.05B). The key difference: AES Corp is far larger — about 5.1× Innodata Inc's market cap, and AES Corp pays a 4.79% dividend while Innodata Inc pays none. Which is the better fit depends on your goals.
| AES | INOD | |
|---|---|---|
Market Cap | $10.49B | $2.05B |
Sector | Utilities | Technology |
52-Week High | $17.28 | $121.50 |
52-Week Low | $12.51 | $34.45 |
Enterprise Value | $40.75B | $1.80B |
Dividend Yield | 4.79% | — |
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
AES is a global power company operating across 14 countries and 4 continents. Its current generation portfolio as of year-end 2021 consists of over 31 gigawatts of generation, with the generation mix composed of renewables (43%), gas (32%), coal (23%), and oil (2%). The company has 3.5 gigawatts of generation under construction. AES has majority ownership and operates six electric utilities distributing power to 2.6 million customers.
Read more on AES →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 →