Wednesday, January 24, 2018 10:15 PM ET
Significant Insider Sales Reported in Shares of Halliburton (HAL) Extending the Trend of Last Quarter
There was a significant level of insider selling revealed today in filings with the SEC for Halliburton. Three insiders — James S Brown, Officer, Jeffrey Allen Miller, Director and Officer, and Eric Carre, Officer — sold 70,655 shares in the company for approximately $3,885,861. There have been 6 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 147,777 company shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net sales of 218,432 shares and have averaged 24,270 shares per transaction over this time period.
The number of insider buy/sell trades at Halliburton is above that of the 57 peer company average over the last 90-day period. The Oil Related Services and Equipment peer group saw 87 buy/sell trades during this period for an average of 1.5 transactions per company. However, the number of shares traded per transaction by Halliburton insiders is lower than its peers. Within the peer group there were 478,829 shares purchased and 15,878,139 shares sold with company insiders selling 177,004 shares on average over this time period.
Insider buying and selling activity that is significant 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 creating and writing this story.
Today’s Insider Activity
* James S Brown, Officer, sold 12,977 shares
* Jeffrey Allen Miller, Director and Officer, sold 29,025 shares
* Eric Carre, Officer, sold 28,653 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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