Price movement over the last 24 hours
AES Corp vs Innodata Inc — how do they compare? AES Corp trades at $14.6 (market cap $10.43B), while Innodata Inc trades at $69.5 (market cap $2.28B). The key difference: AES Corp is far larger — about 4.6× Innodata Inc's market cap, and AES Corp pays a 4.81% dividend while Innodata Inc pays none. Which is the better fit depends on your goals.
| AES | INOD | |
|---|---|---|
Market Cap | $10.43B | $2.28B |
Sector | Utilities | Technology |
52-Week High | $17.28 | $121.50 |
52-Week Low | $11.07 | $34.45 |
Enterprise Value | $39.77B | $2.16B |
Dividend Yield | 4.81% | — |
Signals from Pluang's Aura AI — not financial advice
No Aura AI signal available yet.
Innodata (INOD) trades at $73.12, up 6.16% today but down 33% over the past month after a strong AI-driven rally earlier this year. The stock shows bearish technical signals with support at $69 and resistance at $76. Fundamentally, the company reported strong Q1 2026 earnings with EPS of $0.42 beating expectations of $0.13, driven by 47% margins and AI data services growth. Revenue reached $90.1M in Q1 2026 (Zacks Investment Research, 2026-06-03).
Outlook remains positive with 60% analyst buy ratings and a $130 consensus price target, but risks include high valuation (P/E 65.29), insider selling, and dependence on AI sector momentum. The recent CFO appointment (Accesswire, 2026-06-17) supports growth execution, yet volatility near multi-month highs requires caution.
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 →