Intercontinental Exchange Inc. Common Stock vs IONQ Inc — how do they compare? Intercontinental Exchange Inc. Common Stock trades at $156.77 (market cap $87.21B), while IONQ Inc trades at $39.33 (market cap $15.98B). The key difference: Intercontinental Exchange Inc. Common Stock is far larger — about 5.5× IONQ Inc's market cap, and Intercontinental Exchange Inc. Common Stock pays a 1.34% dividend while IONQ Inc pays none. Which is the better fit depends on your goals.
| ICE | IONQ | |
|---|---|---|
Market Cap | $87.21B | $15.98B |
Volume | 2,029,112 | 22,848,240 |
Sector | Financials | Technology |
52-Week High | $175.10 | $82.09 |
52-Week Low | $122.91 | $26.59 |
Enterprise Value | $105.12B | $13.92B |
Dividend Yield | 1.34% | — |
Typical Hold Time | — | 33 Days |
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IONQ trades at $39.19, down 5.2% in the last session, with a bearish technical outlook despite recent positive analyst coverage. The quantum computing company shows explosive revenue growth (2025: $130M, 2026: $246M) but faces significant profitability challenges with a net income margin of -553.27%. Recent earnings showed mixed results with a Q2 2026 miss following two consecutive beats. The stock remains 50% below analyst consensus price target of $62.75, indicating substantial upside potential if execution improves.
IONQ presents a high-risk, high-reward opportunity with Wall Street divided (50% buy, 50% hold). The bullish case hinges on quantum computing leadership and partnerships with major cloud providers, while risks include persistent losses, cash burn, and execution challenges in a nascent market. Current valuation metrics (P/S: 54.74) reflect growth expectations rather than current fundamentals.
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Intercontinental Exchange provides technology and data services for financial institutions, corporations, and governments. Its businesses include exchanges and clearing, fixed-income data and analytics, and mortgage technology.
Read more on ICE →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 →