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Compare McKesson Corporation (MCK) vs Rigetti Computing Inc (RGTI) Price & Performance

McKesson CorporationTrade
Rigetti Computing IncTrade

Price performance (Past 24H)

Key statistics

McKesson Corporation vs Rigetti Computing Inc — how do they compare? McKesson Corporation trades at $878.73 (market cap $105.14B), while Rigetti Computing Inc trades at $18.46 (market cap $6.04B). The key difference: McKesson Corporation is far larger — about 17.4× Rigetti Computing Inc's market cap, and McKesson Corporation pays a 0.42% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals.

MCKRGTI
Market Cap
$105.14B$6.04B
Sector
HealthTechnology
52-Week High
$995.69$56.34
52-Week Low
$659.01$12.90
Enterprise Value
$111.67B$5.65B
Dividend Yield
0.42%

Aura AI Summary

Signals from Pluang's Aura AI — not financial advice

McKesson Corporation

McKesson (MCK) trades at $877.87, down 0.23% on the day, with strong technical momentum indicated by bullish moving averages and ADX signals. The company reported robust Q1 2027 results with EPS of $9.93 beating estimates by 20% year-over-year, driven by specialty drug growth and oncology performance. Revenue reached $105.4 billion, up 8%, prompting management to raise full-year adjusted EPS guidance. Analyst consensus remains strongly bullish with 24 buy ratings and a $990.67 price target, representing 13% upside potential.

MCK presents a compelling investment case with consistent earnings beats, raised guidance, and strong operational cash flow of $6.9 billion projected for 2026. Key risks include margin pressure from the low 1.12% net income margin, high accounts payable of $55.33 billion, and negative shareholder equity of -$2.07 billion. The stock's valuation at 24.19 P/E appears reasonable given growth prospects, but investors should monitor debt levels and pharmaceutical pricing dynamics.

Rigetti Computing Inc

Rigetti Computing (RGTI) trades at $18.42, up 4.36% on the day, with a bullish technical signal from moving averages but a neutral stance from oscillators. The company reported Q2 2026 revenue growth of 185% to $5.1 million, beating estimates, but posted a net loss of $0.05 per share, missing expectations. Despite heavy operating losses and negative margins, analyst sentiment remains strongly positive with 85.7% recommending Buy, driven by government backing and quantum computing potential.

The outlook for RGTI is high-risk, high-reward, offering exposure to the emerging quantum computing sector with significant government and commercial interest. However, persistent negative profitability, high cash burn, and intense competition from peers like IonQ pose substantial risks to shareholder value. Investment suitability is limited to those tolerant of speculative, early-stage company volatility.

Returns comparison

Trailing returns across standard periods

Top news

Latest headlines on both assets

About McKesson Corporation

McKesson is a leading wholesaler of branded, generic, and specialty pharmaceutical products to pharmacies (retail chains, independent, and mail order), hospitals networks, and healthcare providers. Along with AmerisourceBergen and Cardinal Health, the three account for well over 90% of the U.S. pharmaceutical wholesale industry. McKesson is currently divesting from its pharmaceutical wholesale and distribution in Europe and Canada in order to redeploy capital to strategic growth areas in the U.S. (oncology network and ecosystem, and biopharma services). Additionally, the company supplies medical-surgical products and equipment to healthcare facilities and provides a variety of technology solutions for pharmacies.

Read more on MCK

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