Insider purchases at Safety Income & Growth (SAFE) Extend the Trend of Significant Buying of Last 90 Days

Wednesday, August 09, 2017 10:15 PM ET

Insider purchases at Safety Income & Growth (SAFE) Extend the Trend of Significant Buying of Last 90 Days

Three insiders — iStar Inc, 10% Owner, Jay Sugarman, Director and Officer, and Geoffrey G Jervis, Officer — bought 122,100 shares of Safety Income & Growth having a market value of approximately $2,314,528 today, as revealed in form 4 documents filed with the SEC. 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 acquisition of 313,800 company shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net purchases of 435,900 shares and have averaged 72,650 shares per transaction over this time period.

Relative to its peers over the last 90 days, insider buy/sell trading at Safety Income & Growth is above the 7-company peer group average. Diversified REITs peer group saw 13 buy/sell trades during this period for an average of 1.9 transactions per company. The number of shares per buy/sell trade for Safety Income & Growth insiders was also higher. Within the peer group there were 313,800 shares purchased and 75,926 shares sold with company insiders acquiring 59,469 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
* iStar Inc, 10% Owner, bought 119,658 shares
* Jay Sugarman, Director and Officer, bought 1,224 shares
* Geoffrey G Jervis, Officer, bought 1,218 shares

Using proprietary artificial intelligence methods, 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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