Compare KKR & Co Inc (KKR) vs Rigetti Computing Inc (RGTI) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
KKR & Co Inc vs Rigetti Computing Inc — how do they compare? KKR & Co Inc trades at $90.95 (market cap $80.39B), while Rigetti Computing Inc trades at $14.03 (market cap $4.72B). The key difference: KKR & Co Inc is far larger — about 17× Rigetti Computing Inc's market cap, and KKR & Co Inc pays a 0.87% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals — on Pluang, investors hold KKR & Co Inc for 67 Days and Rigetti Computing Inc for 35 Days on average.
| KKR | RGTI | |
|---|---|---|
Market Cap | $80.39B | $4.72B |
Volume | 6,517,705 | 17,136,381 |
Sector | Financials | Technology |
52-Week High | $142.75 | $56.34 |
52-Week Low | $83.88 | $12.90 |
Typical Hold Time | 67 Days | 35 Days |
Enterprise Value | $2.95B | $4.33B |
Dividend Yield | 0.87% | — |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
KKR trades at $90.95, up 1.43% on the day, with strong analyst support showing 24 buy ratings and a $123.30 consensus price target. Recent earnings beat expectations in Q1 and Q2 2026, though Q4 2025 missed. Technical indicators are bearish overall, with RSI levels suggesting potential oversold conditions. The company maintains solid profitability with 14.97% net income margin and continues active portfolio management through recent acquisitions and divestitures.
The investment case for KKR appears favorable given the significant upside to analyst targets and strong institutional support. However, investors face risks from volatile cash flows, high debt levels, and market-sensitive revenue streams. The upcoming Q3 2026 earnings report on November 9 will be crucial for validating current valuation metrics.
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 KKR & Co Inc
KKR is one of the world's largest alternative asset managers, with $490.7 billion in total assets under management, including $384.5 billion in fee-earning AUM, at the end of June 2022. The company has two core segments: asset management (which includes private markets--private equity, credit, infrastructure, energy and real estate--and public markets--primarily credit and hedge/investment fund platforms) and insurance (following the February 2021 purchase of a 61.5% economic stake in Global Atlantic Financial Group, which is engaged in retirement/annuity and life insurance lines as well as reinsurance). On the asset management side, private markets account for 50% of fee-earning AUM and 70% of base management fees, while public markets account for 50% and 30%, respectively.
Read more on KKR →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 →
