Compare Otis Worldwide Corp (OTIS) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Otis Worldwide Corp vs Rigetti Computing Inc — how do they compare? Otis Worldwide Corp trades at $65.95 (market cap $25.17B), while Rigetti Computing Inc trades at $14.03 (market cap $4.72B). The key difference: Otis Worldwide Corp is far larger — about 5.3× Rigetti Computing Inc's market cap, and Otis Worldwide Corp pays a 2.66% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Otis Worldwide Corp for 66 Days and Rigetti Computing Inc for 35 Days on average.
| OTIS | RGTI | |
|---|---|---|
Market Cap | $25.17B | $4.72B |
Volume | 4,542,442 | 17,136,381 |
Sector | Industrials | Technology |
52-Week High | $93.62 | $56.34 |
52-Week Low | $64.05 | $12.90 |
Typical Hold Time | 66 Days | 35 Days |
Enterprise Value | $33.20B | $4.33B |
Dividend Yield | 2.66% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Otis Worldwide trades at $66.11, near its 52-week low, with a bearish technical signal and recent earnings misses in Q4 2025, Q1 2026, and Q2 2026. The company maintains stable revenue around $14.4B in 2025 but faces margin pressure, with net income margin at 10.17%. Analyst consensus is split between Buy and Hold, with a price target of $87.00, indicating potential upside. Recent news highlights CEO succession plans and challenges in China demand.
The outlook for Otis hinges on service margin recovery and China market stabilization. Investment opportunities include its dominant market position and durable cash flow from service contracts, but risks involve persistent cost pressures, high debt levels, and weak equipment demand. Wall Street remains cautiously optimistic given the valuation discount to targets.
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
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Investor sentiment on Pluang
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About Otis Worldwide Corp
Otis is the largest global elevator and escalator supplier by revenue with around one quarter of share excluding Japan. In 1854 Otis' founder and namesake, Elisha Graves Otis, invented a safety mechanism that prevented elevators from falling if the hoisting cable failed.The company's product and service lifecycle begins with installations of elevator units in new buildings, later selling maintenance services on the units, and eventually replacement of the units after the average 15-20 year useful life of an elevator. As the largest global OEM, over decades Otis has built a base of 2 million elevators under service. Its business model is much the same as that of its competitors Kone, Schindler, and Thyssenkrupp.
Read more on OTIS →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 →
