Innodata Inc vs Invesco NASDAQ 100 ETF — how do they compare? Innodata Inc trades at $63.8 (market cap $2.03B), while Invesco NASDAQ 100 ETF trades at $290.36. The key difference: Invesco NASDAQ 100 ETF is trading nearer its 52-week high, Innodata Inc nearer its low. Which is the better fit depends on your goals.
| INOD | QQQM | |
|---|---|---|
Market Cap | $2.03B | — |
Sector | Technology | Broad Market / Factor |
52-Week High | $121.50 | $307.23 |
52-Week Low | $34.45 | $228.02 |
Enterprise Value | $1.91B | — |
Signals from Pluang's Aura AI — not financial advice
INOD trades at $62.08, up 2.09% today, showing strong momentum despite a bearish technical signal. The company demonstrates robust fundamentals with revenue growth from $252M in 2025 to $283M projected for 2026, and net income margins improving to 13.86%. Recent earnings beats and positive AI-driven news highlight growing demand for its engineering R&D services. Technical indicators show mixed signals with RSI suggesting oversold conditions but moving averages indicating bearish pressure.
Outlook remains positive with 60% analyst buy ratings and a $130 consensus price target representing 109% upside. Key opportunities include AI market expansion and customer diversification, while risks center on high valuation multiples (P/E 54.29) and customer concentration. The stock's recent 33% pullback may present a buying opportunity for growth-oriented investors.
QQQM trades at $286.58 with minimal daily movement (+0.09%), reflecting a bearish technical signal amid neutral oscillators. The ETF's lower 0.15% expense ratio compared to QQQ attracts long-term growth investors, while recent Nasdaq-100 inclusion of SpaceX (1% weighting) adds diversification. Support levels cluster near $285-$283, with resistance at $288-$292.
Outlook remains tied to tech sector performance, with AI infrastructure spending by holdings like Amazon ($200B annual CapEx guidance) as a key catalyst. Risks include stretched valuations and rising AI competition. The bearish technical bias suggests near-term consolidation, but the fund's cost efficiency supports long-term growth exposure.
Trailing returns across standard periods
Latest headlines on both assets
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 →QQQM is an ETF designed to track the performance of the NASDAQ-100 Index. It provides exposure to the 100 largest non-financial companies listed on the NASDAQ. Positioned as a lower-cost and more long-term-investor-friendly alternative to its peer QQQ, QQQM offers the same fundamental market exposure but typically has a lower share price and is structured to appeal to investors focused on accumulation rather than active trading.
Read more on QQQM →