Investment
Features
FeesSafety
Academy
More
Pluang+

Compare Estee Lauder Companies Inc (EL) vs Rigetti Computing Inc (RGTI) Price & Performance

Estee Lauder Companies IncTrade
Rigetti Computing IncTrade

Price performance (Past 24H)

Key statistics

Estee Lauder Companies Inc vs Rigetti Computing Inc — how do they compare? Estee Lauder Companies Inc trades at $87.54 (market cap $31.76B), while Rigetti Computing Inc trades at $18.49 (market cap $6.04B). The key difference: Estee Lauder Companies Inc is far larger — about 5.3× Rigetti Computing Inc's market cap, and Estee Lauder Companies Inc pays a 1.59% dividend while Rigetti Computing Inc pays none. Which is the better fit depends on your goals.

ELRGTI
Market Cap
$31.76B$6.04B
Sector
Consumer StaplesTechnology
52-Week High
$119.61$56.34
52-Week Low
$67.23$12.90
Enterprise Value
$37.93B$5.65B
Dividend Yield
1.59%

Aura AI Summary

Signals from Pluang's Aura AI — not financial advice

Estee Lauder Companies Inc

EL trades at $87.70, up 0.58% on the day, with a bullish technical signal from moving averages and a consensus price target of $91.67. Recent quarterly earnings have consistently beaten expectations, though the company reported a net loss of $1.13 billion for 2025. Revenue has declined from $17.7 billion in 2022 to $14.33 billion in 2025, but positive cash flow from operations of $1.27 billion provides liquidity. A new fragrance launch and executive appointment signal ongoing brand development efforts.

The stock presents a mixed outlook. Analyst sentiment is divided with a slight Hold bias, yet technical momentum and earnings beats offer near-term upside potential. Key risks include sustained negative net income margins, high debt levels, and competitive pressures in the beauty sector. The upcoming Q2 2026 earnings report on August 19, 2026, will be critical for validating the recent positive earnings trend and guiding future price direction.

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 Estee Lauder Companies Inc

Estee Lauder is the world leader in the global prestige beauty market, participating across skincare (56% of fiscal 2022 sales), makeup (26%), fragrance (14%), and haircare (4%) categories, with popular brands such as Estee Lauder, Clinique, MAC, La Mer, Jo Malone, Aveda, Bobbi Brown, Too Faced, Origins, Dr. Jart+, and The Ordinary. The firm operates in 150 countries, with 26% of fiscal 2022 revenue stemming from the Americas, 43% from Europe, the Middle East, and Africa, and 31% from Asia-Pacific. The company sells its products through department stores, travel retail, multi-brand specialty beauty stores, brand-dedicated freestanding stores, e-commerce, salons/spas, and perfumeries.

Read more on EL

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