Form 8-K · Current Report · Filed 2024-03-28
Astera Labs Completes IPO and Converts Preferred Stock
On March 22, 2024, Astera Labs, Inc. completed its IPO, issuing 22,770,000 shares of common stock at $36.00 per share. The company also converted all outstanding shares of its preferred stock into an equal number of common shares as part of the IPO process. The IPO did not generate proceeds for the company from the shares sold by existing stockholders.
- Filer
- Astera Labs Inc. ALAB · NASDAQ
- Filed
- Accession
- 0001193125-24-080594
- CIK
- 0001736297
- Signal
- High impactTechnology
- Source
- Official filing on sec.gov ↗
Items reported
Unregistered Sales of Equity Securities
Material Modification to Rights of Security Holders
Amendments to Articles of Incorporation or Bylaws
Other Events
Financial Statements and Exhibits
Market reaction
Close before filing
$79.92
Next session
-11.0%
Since filing
+289.4%
Latest close
$311.23
What happened, not what will happen — closing prices around the filing date.
Exhibits (2)
About Astera Labs Inc.
Astera Labs Inc. is a semiconductor company that specializes in providing purpose-built connectivity solutions that tackle data and processing bottlenecks in data centers. Its primary function is to design and manufacture chipsets and integrated circuits that optimize the performance of cloud and enterprise datacenter infrastructure. Astera Labs' products are designed to facilitate the smooth transfer of data across high-speed data paths, which is crucial for the operation of machine learning and artificial intelligence workloads. The company serves a diverse range of industries, from cloud service providers to server and storage system developers, addressing the increasing demands for higher data transfer rates and system efficiency. Headquartered in Silicon Valley, Astera Labs plays a pivotal role in advancing semiconductor technology, positioning itself as a key player in the ongoing push towards faster, more reliable data flows in next-generation computing environments. Its innovations are integral to supporting the scalability and performance requirements of modern data-centric applications.
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