Insider Sales at FibroGen (FGEN) Extends the Selling Trend of Last Quarter

Wednesday, January 31, 2018 10:15 PM ET

Insider Sales at FibroGen (FGEN) Extends the Selling Trend of Last Quarter

There was a notable level of insider selling revealed today in filings with the SEC for FibroGen. Two insiders — Dr K Peony Yu, Officer, and Thomas B Neff, Director and Officer — sold 48,636 shares in the company for approximately $2,992,095. There have been 6 insiders with buy/sell transactions in the past 90 days prior to these filings. These trades have resulted in the acquisition of 3,500 company shares and the sale of 179,746 company shares over this time period. Adding the most recent activity to this 90-day history indicates insider trades have been net sales of 224,882 shares and have averaged 28,985 shares per transaction over this time period.

Over the last 90 days, the number of insider buy/sell trades at FibroGen is greater than its 191-company peer group average. The Biotechnology & Medical Research peer group saw 169 buy/sell trades during this period for an average of 0.9 transactions per company. However, the number of shares traded per transaction by FibroGen insiders is lower than its peers. Within the peer group there were 11,218,226 shares purchased and 12,872,269 shares sold with company insiders having sold 9,787 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 obtained in creating and writing this story.

Today’s Insider Activity
* Dr K Peony Yu, Officer, sold 10,000 shares
* Thomas B Neff, Director and Officer, sold 38,636 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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