Wednesday, March 07, 2018 10:15 PM ET
Significant Insider Sales Reported in Shares of Tutor Perini (TPC) Extending the Trend of Last Quarter
A notable level of insider sales in Tutor Perini was reported in form 4 documents filed with the SEC today. Two insiders — Ronald N Tutor Separate Property Trust, 10% Owner, and Ronald N Tutor, 10% Owner, Director and Officer — sold 100,000 shares in the company having a market value of approximately $2,226,000. There have been 3 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 54,829 company shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net sales of 154,829 shares and have averaged 30,966 shares per transaction over this time period.
Over the last 90 days, the number of insider buy/sell trades at Tutor Perini is greater than its 41-company peer group average. The Construction & Engineering peer group saw 22 buy/sell trades during this period for an average of 0.5 transactions per company. However, the number of shares traded per transaction by Tutor Perini insiders is lower than its peers. Within the peer group there were 20,522 shares purchased and 7,437,983 shares sold with company insiders selling 337,157 shares on average over this time period.
In determining significant insider buying and selling, trades reported to the SEC that involve awards, options, exercise of derivative securities, company buy-backs, taxes, gifts, shares acquired via inheritance and tenders or exchange offers have been eliminated in data sourced to evaluate and write this story.
Today’s Insider Activity
* Ronald N Tutor Separate Property Trust, 10% Owner, sold 50,000 shares
* Ronald N Tutor, 10% Owner, Director and Officer, sold 50,000 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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