Monday, September 18, 2017 10:15 PM ET
Significant Insider Buying of Safety Income & Growth (SAFE) Shares Extends the Trend of Last 90 Days
There were significant insider purchases of Safety Income & Growth shares today, as revealed in filings with the SEC as three insiders — iStar Inc, 10% Owner, Jay Sugarman, Director and Officer, and Geoffrey G Jervis, Officer — purchased 68,945 shares in the company having a net market value of approximately $1,335,225. There have been 3 insiders with buy/sell transactions in the past 90 days prior to this filing. All of these trades have been buys resulting in the purchase of 1,093,967 company shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net purchases of 1,162,912 shares and have averaged 193,819 shares per transaction over this time period.
The number of buy-sell trades for Safety Income & Growth is close to that of the 7 member peer company average. The Diversified REITs peer group saw 44 buy/sell trades during this period for an average of 6.3 transactions per company. However, the number of shares per buy/sell trade transacted by Safety Income & Growth insiders is higher. Within the peer group there were 1,100,752 shares purchased and 28,000 shares sold with company insiders acquiring 214,550 shares on average.
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 create and write this story.
Today’s Insider Activity
* iStar Inc, 10% Owner, bought 67,566 shares
* Jay Sugarman, Director and Officer, bought 690 shares
* Geoffrey G Jervis, Officer, bought 689 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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