Compare Southwest Airlines Co (LUV) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Southwest Airlines Co vs Rigetti Computing Inc — how do they compare? Southwest Airlines Co trades at $41.71 (market cap $20.23B), while Rigetti Computing Inc trades at $14.02 (market cap $4.72B). The key difference: Southwest Airlines Co is far larger — about 4.3× Rigetti Computing Inc's market cap, and Southwest Airlines Co pays a 1.74% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Southwest Airlines Co for 65 Days and Rigetti Computing Inc for 35 Days on average.
| LUV | RGTI | |
|---|---|---|
Market Cap | $20.23B | $4.72B |
Volume | 14,560,422 | 17,136,381 |
Sector | Industrials | Technology |
52-Week High | $54.80 | $56.34 |
52-Week Low | $29.67 | $12.90 |
Typical Hold Time | 65 Days | 35 Days |
Enterprise Value | $23.33B | $4.33B |
Dividend Yield | 1.74% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Southwest Airlines (LUV) trades at $41.15, down 1.37% on the day, amid a bearish technical signal despite recent earnings beats. The stock shows mixed fundamentals with a P/E of 25.85 and net income margin of 2.78%, while cash flow trends indicate a projected recovery in 2026. Recent news highlights the company's commercial transformation initiatives, including new fare structures and lounge plans, aiming to boost profitability.
Outlook remains cautiously optimistic with a consensus price target of $49.61, suggesting upside potential, though risks include volatile fuel costs and competitive pressures. The stock's valuation appears reasonable relative to sales, but investors should weigh near-term operational headwinds against long-term strategic gains.
RGTI trades at $14.04, down 3.77% today, with a bearish technical signal despite bullish oscillators. The company shows minimal revenue of $7.09M in 2025 with a massive net loss of -$216.21M, resulting in negative profit margins. Analyst consensus is strongly bullish with 6 buy ratings and a $21.67 price target, representing 54% upside. Recent news highlights quantum computing sector momentum and Rigetti's hybrid quantum-HPC strategy with partners like HPE.
While analyst optimism and quantum computing potential offer significant upside, RGTI faces substantial execution risks with negative cash flow, high valuation multiples, and intense competition. The stock presents high-risk/high-reward potential for investors willing to tolerate volatility in exchange for quantum computing exposure, but requires careful monitoring of commercialization progress and path to profitability.
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
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About Southwest Airlines Co
Southwest Airlines is the largest domestic carrier in the United States, as measured by the number of originating passengers boarded. Southwest operates over 700 aircraft in an all-Boeing 737 fleet. Despite expanding into longer routes and business travel, the airline still specializes in short-haul leisure flights, using a point-to-point network. Southwest operates a low-cost carrier business model.
Read more on LUV →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 →
