Compare Fidelity National Information Servcs Inc (FIS) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Fidelity National Information Servcs Inc vs Rigetti Computing Inc — how do they compare? Fidelity National Information Servcs Inc trades at $34.04 (market cap $17.71B), while Rigetti Computing Inc trades at $14.03 (market cap $4.72B). The key difference: Fidelity National Information Servcs Inc is far larger — about 3.8× Rigetti Computing Inc's market cap, and Fidelity National Information Servcs Inc pays a 5.13% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Fidelity National Information Servcs Inc for 88 Days and Rigetti Computing Inc for 35 Days on average.
| FIS | RGTI | |
|---|---|---|
Market Cap | $17.71B | $4.72B |
Volume | 9,047,825 | 17,136,381 |
Sector | Technology | Technology |
52-Week High | $68.57 | $56.34 |
52-Week Low | $32.44 | $12.90 |
Typical Hold Time | 88 Days | 35 Days |
Enterprise Value | $38.22B | $4.33B |
Dividend Yield | 5.13% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
FIS trades at $34.34, up 1.54% today, with a bearish technical signal despite recent earnings beats. The stock shows attractive valuation metrics with a P/E of 5.27 and P/S of 1.46, while profitability has improved significantly with net income margin reaching 27.65% in 2026 projections. Recent business developments include multiple core banking platform wins and new product launches, positioning the company for growth in financial technology modernization.
FIS presents a compelling value opportunity with strong analyst support (56.76% buy ratings) and a $47.15 consensus price target representing 37% upside. However, investors face risks from the company's elevated debt levels and inconsistent cash flow generation. The technical bearish signal and recent price weakness suggest potential near-term volatility despite fundamental improvements.
RGTI trades at $14.14, down 3.08% today, amid bearish technical signals despite bullish oscillators. The company shows negative profitability with a -1,787.4% net income margin and -$216.21M net loss for 2025, though revenue grew to $13M in 2026. Recent news highlights Rigetti's hybrid quantum-HPC strategy advancements and sector momentum from IonQ's developments.
Wall Street maintains strong bullish sentiment with 6 buy ratings and a $21.67 price target, representing 53% upside. However, significant execution risks persist given negative cash flow, high valuation multiples, and intense quantum computing competition. The stock offers high-risk growth potential for investors comfortable with speculative emerging technology plays.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
About Fidelity National Information Servcs Inc
Fidelity National Information Services' legacy operations provide core and payment processing services to banks, but its business has expanded over time. By acquiring Sungard in 2015, the company now provides record-keeping and other services to investment firms. With the acquisition of Worldpay in 2019, FIS now provides payment processing services for merchants and holds leading positions in the United States and United Kingdom. About a fourth of revenue is generated outside North America.
Read more on FIS →About Rigetti Computing Inc
Rigetti Computing, Inc. is a pioneer in quantum computing, focusing on developing and deploying quantum-classical computing systems. The company designs and fabricates superconducting quantum processors and integrates them with a full-stack software and control platform. Rigetti offers access to its quantum computers through the cloud, aiming to solve complex computational problems that are intractable for classical computers, with applications in finance, chemistry, and machine learning.
Read more on RGTI →
