Thursday, December 21, 2017 10:15 PM ET
Insider Sales at Frank’s International (FI) are Significant and Extend the Selling Trend of Last Quarter
There was substantial level of selling of Frank’s International shares by insiders today, as revealed in form 4 documents filed with the SEC. Two insiders — Gregory Stanton Mosing, 10% Owner, and Sharon M Miller, 10% Owner — disposed of 1,723,535 shares in the company having a market value of approximately $10,066,930. There have been 13 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 12,054,143 company shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net sales of 13,777,678 shares and have averaged 918,512 shares per transaction over this time period.
Insiders at Frank’s International have a level of buy/sell trades that is above the 57-peer company average over the last 90-day period. The Oil Related Services and Equipment peer group saw 64 buy/sell trades during this period for an average of 1.1 transactions per company. The number of shares per buy/sell trade for Frank’s International insiders was also higher. Within the peer group there were 221,829 shares purchased and 13,258,602 shares sold with company insiders selling 203,700 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 compose and write this story.
Today’s Insider Activity
* Gregory Stanton Mosing, 10% Owner, sold 120,000 shares
* Sharon M Miller, 10% Owner, sold 1,603,535 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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