Insider Sales at Marriott International (MAR) are Significant and Extend the Selling Trend of Last Quarter

Friday, September 22, 2017 10:15 PM ET

Insider Sales at Marriott International (MAR) are Significant and Extend the Selling Trend of Last Quarter

There was substantial level of selling of Marriott International shares today, as revealed in filings with the SEC. Two insiders — Anthony Capuano, Officer, and Argiris Kyriakidis, Officer — disposed of 16,736 shares in the company having a market value of approximately $1,803,986. 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 162,591 company shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net sales of 179,327 shares and have averaged 19,925 shares per transaction over this time period.

Marriott International insider trading represents a higher number of buy/sell trades than for the 12 peer company average over the last 90-day period. The Hotels, Motels & Cruise Lines peer group saw 16 buy/sell trades during this period for an average of 1.3 transactions per company. The number of shares per buy/sell trade for Marriott International insiders was also higher. Within the peer group there were 28,000 shares purchased and 174,821 shares sold with company insiders having sold 9,176 shares on average.

The data used in composing and writing in this story eliminates all trading activity reported to the SEC that involves awards, options, exercise of derivative securities, company buy-backs, taxes, gifts, shares acquired via inheritance and tenders or exchange offers.

Today’s Insider Activity
* Anthony Capuano, Officer, sold 13,736 shares
* Argiris Kyriakidis, Officer, sold 3,000 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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