Maxim Integrated Products (MXIM) Insiders Make Significant Share Sales Extending the Trend of Last Quarter

Tuesday, February 06, 2018 10:15 PM ET

Maxim Integrated Products (MXIM) Insiders Make Significant Share Sales Extending the Trend of Last Quarter

Two insiders — Tunc Doluca, Director and Officer, and Christopher J Neil, Officer — today, disposed of 34,500 shares of Maxim Integrated Products having a market value of approximately $2,110,630, as disclosed in form 4 documents filed with the SEC. There have been 7 insiders with buy/sell transactions in the past 90 days prior to these filings. All of these trades have been sales resulting in the disposition of 118,097 company shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net sales of 152,597 shares and have averaged 16,955 shares per transaction over this time period.

Insider buy/sell trading at Maxim Integrated Products is greater than the 77 peer company average over the last 90-day period. The Semiconductors peer group saw 180 buy/sell trades during this period for an average of 2.3 transactions per company. The number of shares per buy/sell trade for Maxim Integrated Products insiders was also higher. Within the peer group there were 18,465 shares purchased and 2,150,301 shares sold with company insiders selling 11,844 shares on average.

For the purpose of evaluating significant insider buying and selling all trades reported to the SEC that involve awards, options, exercise of derivative securities, company buy-backs, taxes, gifts, shares acquired via inheritance and tenders or exchange offers have been eliminated in data used to compose and write this story.

Today’s Insider Activity
* Tunc Doluca, Director and Officer, sold 31,000 shares
* Christopher J Neil, Officer, sold 3,500 shares

Using proprietary Natural Language Generation (NLG) technology, UpTick evaluates corporate insider filings reported to the SEC and creates real-time news and analysis to report the most significant insider transactions based on transaction type, size and historical trends.

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