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Compare Goldman Sachs Group Inc (GS) vs Rigetti Computing Inc (RGTI) Price & Performance

Goldman Sachs Group IncTrade
Rigetti Computing IncTrade

Price performance (Past 24H)

Key statistics

Goldman Sachs Group Inc vs Rigetti Computing Inc — how do they compare? Goldman Sachs Group Inc trades at $895.8 (market cap $256.98B), while Rigetti Computing Inc trades at $14.05 (market cap $4.72B). The key difference: Goldman Sachs Group Inc is far larger — about 54.4× Rigetti Computing Inc's market cap, and Goldman Sachs Group Inc pays a 2.27% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold Goldman Sachs Group Inc for 101 Days and Rigetti Computing Inc for 35 Days on average.

GSRGTI
Market Cap
$256.98B$4.72B
Volume
1,748,42617,136,381
Sector
FinancialsTechnology
52-Week High
$1.15K$56.34
52-Week Low
$744.60$12.90
Typical Hold Time
101 Days35 Days
Enterprise Value
$814.98B$4.33B
Dividend Yield
2.27%—

Aura AI Summary

Signals from Pluang's Aura AI — not financial advice

Goldman Sachs Group Inc

Goldman Sachs (GS) trades at $887.21, down 1.11% on the day, with a bearish technical signal despite strong fundamental performance. The company has delivered three consecutive quarterly earnings beats, with Q2 2026 EPS of $20.98 significantly exceeding expectations of $14.47. Revenue growth accelerated to $58.28 billion in 2025, while net income margin improved to 29.46%. Analyst consensus remains positive with a $1,130 price target, though technical indicators show selling pressure.

GS presents a compelling value opportunity with a P/E of 13.63 below industry averages, supported by robust earnings growth and a 31.68% net income margin. However, negative operating cash flow of -$45.15 billion in 2025 and bearish technical momentum create near-term headwinds. The stock's 18.33% ROE and dividend yield of approximately 0.56% provide shareholder returns, but investors should monitor cash flow trends and FICC business performance highlighted in recent management commentary.

Rigetti Computing Inc

RGTI trades at $14.04, down 3.77% today, with a bearish technical signal despite bullish oscillators. The company shows minimal revenue of $7.09M in 2025 with a massive net loss of -$216.21M, resulting in negative profit margins. Analyst consensus is strongly bullish with 6 buy ratings and a $21.67 price target, representing 54% upside. Recent news highlights quantum computing sector momentum and Rigetti's hybrid quantum-HPC strategy with partners like HPE.

While analyst optimism and quantum computing potential offer significant upside, RGTI faces substantial execution risks with negative cash flow, high valuation multiples, and intense competition. The stock presents high-risk/high-reward potential for investors willing to tolerate volatility in exchange for quantum computing exposure, but requires careful monitoring of commercialization progress and path to profitability.

Returns comparison

Trailing returns across standard periods

Investor sentiment on Pluang

What Pluang investors did over the last 30 days

GS
93% Buy7% Sell
Avg holding period · 101 Days
RGTI
35% Buy65% Sell
Avg holding period · 35 Days

Top news

Latest headlines on both assets

About Goldman Sachs Group Inc

The Goldman Sachs Group, Inc., a bank holding company, is a global investment banking and securities firm specializing in investment banking, trading and principal investments, asset management and securities services. The Company provides services to corporations, financial institutions, governments, and high-net worth individuals.

Read more on GS →

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 →