First Trust NASDAQ Smart Grid ETF vs IONQ Inc — how do they compare? First Trust NASDAQ Smart Grid ETF trades at $178.28 (market cap $12.40B), while IONQ Inc trades at $40.21 (market cap $15.98B). The key difference: IONQ Inc is the larger of the two by market cap, and First Trust NASDAQ Smart Grid ETF is trading nearer its 52-week high, IONQ Inc nearer its low. Which is the better fit depends on your goals — on Pluang, investors hold First Trust NASDAQ Smart Grid ETF for 10 Days and IONQ Inc for 33 Days on average.
| GRID | IONQ | |
|---|---|---|
Market Cap | $12.40B | $15.98B |
Volume | 769,605 | 22,848,240 |
Sector | Sector/Thematic | Technology |
52-Week High | $199.80 | $82.09 |
52-Week Low | $146.51 | $26.59 |
Typical Hold Time | 10 Days | 33 Days |
Enterprise Value | — | $13.92B |
Signals from Pluang's Aura AI — not financial advice
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IONQ trades at $41.34, down 4.5% today, with a mixed technical picture showing bullish oscillators but bearish moving averages. The company reported strong revenue growth to $130M in 2025 but faces significant losses with a -553% net income margin. Recent analyst coverage from Bank of America initiated with a Buy rating and $60 target, highlighting the company's semiconductor-based quantum computing approach and partnerships with major cloud providers.
While IONQ shows promising technology and analyst support with a consensus $62.75 price target representing 52% upside, investors face substantial risks from ongoing losses, negative cash flow from operations, and high valuation multiples. The stock's performance hinges on successful commercialization of quantum technology and achieving profitability targets in the coming years.
Trailing returns across standard periods
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First Trust NASDAQ Smart Grid Infrastructure ETF seeks to track companies involved in smart grid and electricity infrastructure. Its holdings include businesses related to power networks, energy management, and grid technologies.
Read more on GRID →IonQ is a leader in quantum computing, developing world-class quantum systems. Its technology aims to solve complex problems across finance, healthcare, and materials science that are beyond classical computers.
Read more on IONQ →