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Super Micro Computer Reports an Insider Sale of Company Shares Worth $7.7 Million

Charles Liang, President and Chief Executive Officer of Super Micro Computer, Inc. (NASDAQ:SMCI), disclosed a sale of 200,000 shares by his spouse in a SEC Form 4 filing . Post-transaction shares (iโ€ฆ

Super Micro Computer Reports an Insider Sale of Company Shares Worth $7.7 Million
Yahoo Finance โ€” 9 September 2026
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Charles Liang, President and Chief Executive Officer of Super Micro Computer, Inc. (NASDAQ:SMCI), disclosed a sale of 200,000 shares by his spouse in a SEC Form 4 filing .

Transaction value based on SEC Form 4 weighted average sale price ($38.59); post-transaction value based on September 04, 2026 market close ($39.59).

What was the structural nature of this disposition? The sales were executed pursuant to a broker-assisted Rule 10b5-1 trading plan, which was established by the spouse of Charles Liang on May 26, 2026.

How is the residual equity position distributed? The CEO maintains a direct holding of 40,426,120 shares, while an additional 25,770,026 shares are held indirectly through a spouse and a joint account with a spouse.

What is the current market context for these transactions? The sales occurred at a weighted average price of $38.59 per share, while the stock was priced at $40.26 as of the September 8, 2026 market close.

What has been the recent return profile for the equity? The common stock of Super Micro Computer had generated a one-year return of -3% as of the transaction date of September 4, 2026.

Super Micro Computer designs and manufactures modular, open-standard server and storage solutions, including liquid and air-cooled AI servers with integrated GPUs, blade systems, and SuperStorage platforms that serve as primary revenue drivers across global markets.

The company generates revenue through the sale of specialized computing infrastructure solutions tailored for data center operators, cloud service providers, and enterprise customers requiring high-performance computing capabilities for AI training, inferencing, and traditional workloads.

Read Full Story at Yahoo Finance โ†’
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