Compare General Motors Company (GM) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
General Motors Company vs Rigetti Computing Inc — how do they compare? General Motors Company trades at $86.96 (market cap $78.40B), while Rigetti Computing Inc trades at $18.48 (market cap $6.04B). The key difference: General Motors Company is far larger — about 13× Rigetti Computing Inc's market cap, and General Motors Company pays a 0.81% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals.
| GM | RGTI | |
|---|---|---|
Market Cap | $78.40B | $6.04B |
Sector | Consumer Cyclical | Technology |
52-Week High | $90.30 | $56.34 |
52-Week Low | $54.16 | $12.90 |
Enterprise Value | $181.38B | $5.65B |
Dividend Yield | 0.81% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
General Motors (GM) trades at $87.19, down 0.88% on the day, with strong technical momentum showing bullish moving average signals. The company has delivered three consecutive earnings beats, with Q2 2026 EPS of $3.57 exceeding the $3.19 estimate. Recent developments include a $4.5 billion parts supply agreement to mitigate future disruptions and a renewed 20-year joint venture with China's SAIC Motor. Analyst consensus remains strongly positive with a $108.82 price target representing 25% upside potential.
GM presents a compelling investment case with attractive valuation metrics including P/S of 0.45 and EV/EBITDA of 10.35, though profitability metrics remain challenged with net margin at 1.05%. Key risks include declining profit margins from 6.33% in 2022 to 1.45% in 2025, high debt levels with debt-to-asset ratio of 46.79%, and ongoing supply chain challenges in the automotive sector.
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
Returns comparison
Trailing returns across standard periods
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About General Motors Company
General Motors Co. emerged from the bankruptcy of General Motors Corp. (old GM) in July 2009. GM has eight brands and operates under four segments: GM North America, GM International, Cruise, and GM Financial. The United States now has four brands instead of eight under old GM. The company lost its U.S. market share leader crown in 2021 with share down 280 basis points to 14.6%, but we expect GM to reclaim the top spot in 2022 as 2021 suffered from the chip shortage. GM Financial became the company's captive finance arm in October 2010 via the purchase of AmeriCredit.
Read more on GM →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 →
