Monday, February 05, 2018 10:15 PM ET
Alexandria Real Estate Equities (ARE) Insiders Make Significant Share Sales Extending the Trend of Last Quarter
There was a significant level of insider selling disclosed today in filings with the SEC for Alexandria Real Estate Equities. Two insiders — Joel S Marcus, Director and Officer, and Dean A Shigenaga, Officer — disposed of 59,000 shares in the company for approximately $7,392,170. 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 67,250 company shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net sales of 126,250 shares and have averaged 18,036 shares per transaction over this time period.
Over the last 90 days, the number of insider buy/sell trades at Alexandria Real Estate Equities is greater than its 48-company peer group average. The Commercial REITs peer group saw 64 buy/sell trades during this period for an average of 1.3 transactions per company. However, the number of shares traded per transaction by Alexandria Real Estate Equities insiders is lower than its peers. Within the peer group there were 532,246 shares purchased and 1,073,939 shares sold with company insiders disposing of 8,464 shares on average over this time period.
To bring into focus significant insider buying and selling activity, 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 has been eliminated in data used to evaluate and write this story.
Today’s Insider Activity
* Joel S Marcus, Director and Officer, sold 30,000 shares
* Dean A Shigenaga, Officer, sold 29,000 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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