Monday, November 20, 2017 10:15 PM ET
Significant Insider Sales in Shares of Ligand Pharmaceuticals (LGND) Extends the Selling Trend of Last Quarter
A significant level of insider sales in Ligand Pharmaceuticals was disclosed in form 4 documents filed with the SEC today. Two insiders — John L Higgins, Director and Officer, and Jason Aryeh, Director — sold 26,658 shares in the company having a market value of approximately $3,738,256. There have been 4 insiders with buy/sell transactions in the past 90 days prior to these filings. All of these trades have been sales resulting in the sale of 18,828 company shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net sales of 45,486 shares and have averaged 7,581 shares per transaction over this time period.
The number of insider buy/sell trades at Ligand Pharmaceuticals is higher than that of the 188 peer company average over the last 90-day period. The Biotechnology & Medical Research peer group saw 202 buy/sell trades during this period for an average of 1.1 transactions per company. However, the number of shares traded per transaction by Ligand Pharmaceuticals insiders is lower than its peers. Within the peer group there were 25,483,921 shares purchased and 31,875,294 shares sold with company insiders disposing of 31,640 shares on average over this time period.
Significant insider buying and selling activity has been determined by eliminating 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 in data used in composing and writing this story.
Today’s Insider Activity
* John L Higgins, Director and Officer, sold 2,258 shares
* Jason Aryeh, Director, sold 24,400 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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