Investment
Features
FeesSafety
Academy
More
Pluang+

Compare Deckers Outdoor Corp (DECK) vs Rigetti Computing Inc (RGTI) Price & Performance

Deckers Outdoor CorpTrade
Rigetti Computing IncTrade

Price performance (Past 24H)

Key statistics

Deckers Outdoor Corp vs Rigetti Computing Inc — how do they compare? Deckers Outdoor Corp trades at $94.02 (market cap $12.78B), while Rigetti Computing Inc trades at $18.35 (market cap $6.04B). The key difference: Deckers Outdoor Corp is far larger — about 2.1× Rigetti Computing Inc's market cap, and Deckers Outdoor Corp is trading nearer its 52-week high, Rigetti Computing Inc nearer its low. Which is the better fit depends on your goals.

DECKRGTI
Market Cap
$12.78B$6.04B
Sector
Consumer CyclicalTechnology
52-Week High
$123.91$56.34
52-Week Low
$79.54$12.90
Enterprise Value
$11.65B$5.65B

Returns comparison

Trailing returns across standard periods

Top news

Latest headlines on both assets

About Deckers Outdoor Corp

Deckers Outdoor Corp designs and sells casual and performance footwear, apparel, and accessories. Primary brands include UGG, Teva, and Sanuk. The company distributes Most of its products through its wholesale business, but it also has a substantial direct-to-consumer business with its company-owned retail stores and websites. Most sales are in the United States, although the company also has retail stores and distributors throughout Europe, Asia, Canada, and Latin America. Deckers sources its products from independent manufacturers primarily in Asia.

Read more on DECK

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