Sandisk (NASDAQ:SNDK) primarily designs, manufactures, and supplies a diverse range of computer data storage solutions, including embedded memory and removable cards, utilizing advanced flash technology.
It recently began production for its new 10th-generation flash memory technology alongside Kioxia in Japan, and it reported a 61% net income margin for the quarter ended April 3, 2026.
Seagate Technology (NASDAQ:STX) operates as a global provider of mass capacity data storage technology, selling hard disk drives and solid-state drives primarily to original equipment manufacturers and distributors.
It recently reached a preliminary $175 million settlement to resolve a shareholder class-action lawsuit, and it posted a 24% net income margin for the quarter ended April 3, 2026.
Revenue serves as a critical baseline measure of a company's customer demand and overall sales volume over a given period. This metric helps investors measure a company's overall size, market footprint, and long-term trajectory.
Data source: Company filings. Data as of July 16, 2026.
Examining the revenue trends for Sandisk and Seagate Technology reveals key insights. The former trailed in sales until 2026, when Sandisk not only overtook Seagate, it handily blew past its data storage rival.
This sales surge was due to Sandisk's focus on NAND flash memory while Seagate sells the traditional hard disk drive (HDD). NAND flash delivers extreme speed when it comes to processing data, far faster and more reliably than HDDs. The companies building artificial intelligence systems seek speed because of the massive troves of data AI must churn through to deliver its output.
As AI has rapidly expanded, necessitating the construction of new data centers, the demand for NAND flash has skyrocketed, as demonstrated by Sandisk's sales of $6 billion in the most recent quarter. The company forecasted revenue of $7.8 billion to $8.3 billion in the next quarter. That's more than the $7.4 billion Sandisk made in all of 2025.
Source: Yahoo Finance Top News — This article was automatically imported from the source. Read full article at original source →
