Significant Insider Sales Reported in Shares of Snap (SNAP) Extending the Trend of Last Quarter

Tuesday, February 20, 2018 10:15 PM ET

Significant Insider Sales Reported in Shares of Snap (SNAP) Extending the Trend of Last Quarter

A significant level of insider sales in Snap was disclosed in form 4 documents filed with the SEC today. Four insiders — Lasky, Sweet, O’Sullivan, and Hunter — disposed of 134,047 shares in the company having a market value of approximately $2,602,881. There have been 5 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 3,568,199 company shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net sales of 3,702,246 shares and have averaged 411,361 shares per transaction over this time period.

Compared to its peers over the last 90 days, insider buy/sell trading at Snap is higher than the 17-company peer group average. Mobile Application Software peer group saw 43 buy/sell trades during this period for an average of 2.5 transactions per company. The number of shares per buy/sell trade for Snap insiders was also higher. Within the peer group there were 48,625 shares purchased and 3,857,537 shares sold with company insiders having sold 88,579 shares on average.

The data sourced 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
* Mitchell Lasky, Director, sold 25,000 shares
* Lara Sweet, Officer, sold 2,143 shares
* Michael J O’Sullivan, Officer, sold 9,248 shares
* Jerry James Hunter, Officer, sold 97,656 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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