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ALAB (Astera Labs) Short Interest


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What is Astera Labs Short Interest?

Short Interest can be expressed as a percentage by dividing the number of shares sold short by the total number of outstanding shares.

Due to the license agreement change with our data vendor, Short Interest related data is no longer available on GuruFocus website.

Competitive Comparison of Astera Labs's Short Interest

For the Semiconductors subindustry, Astera Labs's Short Interest, along with its competitors' market caps and Short Interest data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.

Astera Labs's Short Interest Distribution in the Semiconductors Industry

For the Semiconductors industry and Technology sector, Astera Labs's Short Interest distribution charts can be found below:

* The bar in red indicates where Astera Labs's Short Interest falls into.


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Astera Labs Business Description

Industry
GURUFOCUS.COM » STOCK LIST » Technology » Semiconductors » Astera Labs Inc (NAS:ALAB) » Definitions » Short Interest
Comparable Companies
SWKS LSCC MTSI CRDO QRVO RMBS CRUS ALGM SLAB SITM NVDA AVGO TPE:2330 QCOM AMD TXN ADI INTC MU XKRX:000660
Traded in Other Exchanges
ALAB:Mexico
Address
2901 Tasman Drive, Suite 205, Santa Clara, CA, USA, 95054
Website
https://www.asteralabs.com
Astera Labs Inc designs and delivers semiconductor-based connectivity solutions for cloud and AI infrastructure. Its Intelligent Connectivity Platform integrates semiconductor technology, microcontrollers, sensors, and software to enhance performance, scalability, and data management. The company offers products such as integrated circuits (ICs), boards, and modules, catering to hyperscalers and system OEMs. The company's solutions focus on data, network, and memory management in AI-driven platforms.