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 $70.61 (market cap $27.61B), while Rigetti Computing Inc trades at $15.21 (market cap $5.08B). The key difference: Otis Worldwide Corp is far larger — about 5.4× Rigetti Computing Inc's market cap, and Otis Worldwide Corp pays a 2.36% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals.
| OTIS | RGTI | |
|---|---|---|
Market Cap | $27.61B | $5.08B |
Sector | Industrials | Technology |
52-Week High | $100.99 | $56.34 |
52-Week Low | $69.34 | $12.90 |
Enterprise Value | $34.99B | $4.67B |
Dividend Yield | 2.36% | — |
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 (OTIS) trades at $71.95, down 2.04% recently, with a bullish technical signal from moving averages and neutral oscillators. The company reported mixed Q1 2026 earnings, missing EPS estimates but showing strong service growth. Revenue trends are stable, with 2025 revenue at $14.43B and net income of $1.38B. Analyst consensus is a Buy with a $91.00 price target, implying significant upside. Recent news highlights modernization initiatives and Q2 earnings focus.
The outlook for OTIS is cautiously optimistic, with potential driven by service segment strength and strategic upgrades, but risks include margin pressures from tariffs and economic headwinds. Valuation at a P/E of 19.54 is reasonable, yet debt levels and recent earnings misses warrant monitoring. Institutional sentiment is mixed, with 38% Buy ratings offset by high debt-to-asset ratio of 75.54% as of 2025.
Rigetti Computing (RGTI) trades at $14.25, up 0.99% on the day, while showing bearish technical signals with 17 sell indicators versus 5 buy signals. The company maintains strong analyst support with 85.7% buy ratings and a $32.67 consensus price target, despite posting significant losses (-$216.21M net income) and negative margins. Recent news highlights Rigetti's $569M cash position and government contracts supporting its quantum computing roadmap.
RGTI offers substantial upside potential based on analyst targets but carries high risk due to persistent losses and negative profitability metrics. The stock's investment thesis hinges on successful quantum technology commercialization, with current valuation reflecting speculative growth expectations rather than fundamental performance.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
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 →
