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Compare Bio-Rad Laboratories, Inc. Class A Common Stock (BIO) vs Rigetti Computing Inc (RGTI) Price & Performance

Bio-Rad Laboratories, Inc. Class A Common StockTrade
Rigetti Computing IncTrade

Price performance (Past 24H)

Key statistics

Bio-Rad Laboratories, Inc. Class A Common Stock vs Rigetti Computing Inc — how do they compare? Bio-Rad Laboratories, Inc. Class A Common Stock trades at $356.44 (market cap $9.43B), while Rigetti Computing Inc trades at $18.47 (market cap $6.04B). The key difference: Bio-Rad Laboratories, Inc. Class A Common Stock is the larger of the two by market cap, and Bio-Rad Laboratories, Inc. Class A Common Stock is trading nearer its 52-week high, Rigetti Computing Inc nearer its low. Which is the better fit depends on your goals.

BIORGTI
Market Cap
$9.43B$6.04B
Sector
HealthTechnology
52-Week High
$362.08$56.34
52-Week Low
$241.71$12.90
Enterprise Value
$9.18B$5.65B

Aura AI Summary

Signals from Pluang's Aura AI — not financial advice

Bio-Rad Laboratories, Inc. Class A Common Stock

Bio-Rad Laboratories (BIO) trades at $362.08, up 2.13% daily, near its 52-week high. The stock shows a bullish technical trend with strong moving averages, though RSI indicates overbought conditions. Fundamentally, Q2 2026 earnings beat estimates with EPS of $2.62 versus $1.75 expected, and revenue remains stable around $2.6 billion. Net income turned positive in 2025 after prior losses, with a current net margin of 29.41%. Analyst consensus is Buy with a $350 price target, and institutional holdings increased, as noted by Amundi's 1,763.4% stake growth per SEC filing on August 5, 2026.

Outlook is cautiously optimistic with solid earnings recovery and institutional support, but risks include high P/E of 43.39, potential overvaluation, and reliance on academic research markets. Investors should weigh strong profitability against valuation concerns and monitor upcoming Q3 earnings for sustained growth.

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 Bio-Rad Laboratories, Inc. Class A Common Stock

Bio-Rad Laboratories, headquartered in Hercules, California, develops, manufactures, and markets products and solutions for the clinical diagnostics and life sciences markets. In diagnostics (53% of sales), Bio-Rad manufactures, sells, and supports test systems and specialized quality controls for clinical laboratories. In life sciences (47% of sales), the firm develops and manufactures a range of instruments and reagents used in research, biopharmaceutical production, and food testing. The company is geographically diverse, with major markets in the Americas (42% of 2021 sales), Europe and Africa (33%), and Asia-Pacific (25%). Bio-Rad owns 37% of Sartorius AG, a laboratory and biopharmaceutical supplier.

Read more on BIO

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