Compare McCormick & Company, Incorporated (MKC) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
McCormick & Company, Incorporated vs Rigetti Computing Inc — how do they compare? McCormick & Company, Incorporated trades at $44.96 (market cap $12.39B), while Rigetti Computing Inc trades at $14.03 (market cap $4.72B). The key difference: McCormick & Company, Incorporated is far larger — about 2.6× Rigetti Computing Inc's market cap, and McCormick & Company, Incorporated pays a 4.18% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold McCormick & Company, Incorporated for 67 Days and Rigetti Computing Inc for 35 Days on average.
| MKC | RGTI | |
|---|---|---|
Market Cap | $12.39B | $4.72B |
Volume | 6,140,872 | 17,136,381 |
Sector | Consumer Staples | Technology |
52-Week High | $71.65 | $56.34 |
52-Week Low | $44.14 | $12.90 |
Typical Hold Time | 67 Days | 35 Days |
Enterprise Value | $17.07B | $4.33B |
Dividend Yield | 4.18% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
McCormick (MKC) trades at $44.81, down 0.97% on the day, with a bearish technical signal and neutral oscillators. The company reported strong Q3 2026 earnings, beating estimates with EPS of $0.86, driven by margin expansion and the McCormick de Mexico acquisition. Revenue grew 17% in constant currency, and the full-year outlook was reaffirmed. Valuation ratios appear attractive with a P/E of 8.31 and net income margin of 19.39%, while cash flow trends show improvement in 2026.
The outlook is mixed; fundamentals are solid with earnings beats and dividend growth, but technicals and analyst sentiment lean cautious. Upside exists if execution continues, yet risks include integration challenges and macroeconomic pressures. The consensus price target of $53.50 implies potential appreciation, but near-term volatility may persist.
RGTI trades at $14.03, down 3.84% with bearish technical signals despite bullish oscillators. The company shows minimal revenue of $7.09M (2025) with significant losses (-$216.21M net income) and negative margins. Analyst consensus remains strong with 85.71% buy ratings and $21.67 price target, while recent news highlights quantum computing sector momentum and Rigetti's hybrid quantum-HPC partnerships.
RGTI presents high-risk speculative potential with Wall Street optimism contrasting weak fundamentals. The stock offers substantial upside to analyst targets but faces execution risks in commercializing quantum technology amid persistent cash burn and competitive pressures from better-funded peers.
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 McCormick & Company, Incorporated
In its 130-year history, McCormick has grown to become the leading global manufacturer, marketer, and distributor of spices, herbs, extracts, seasonings, and other flavorings. Beyond end consumers, McCormick's customer base also includes top quick-service restaurants, retail grocery chains, and other packaged food and beverage manufacturers, with about 30% of sales generated beyond its home turf to include 150 other countries and territories. In addition to its namesake brand, the firm's portfolio includes Old Bay, Zatarain's, Thai Kitchen, Frank's RedHot, French's, and the recently acquired Cholula brand.
Read more on MKC →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 →
