Tuesday, February 20, 2018 10:15 PM ET
Insperity (NSP) Insiders Make Significant Share Sales Extending the Trend of Last Quarter
A substantial level of insider sales in Insperity was reported in form 4 documents filed with the SEC today. Three insiders — Arthur A Arizpe, Officer, Douglas S Sharp, Officer, and Daniel D Herink, Officer — disposed of 17,075 shares in the company having a market value of approximately $1,097,991. There have been 4 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 56,900 company shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net sales of 73,975 shares and have averaged 10,568 shares per transaction over this time period.
The number of insider buy/sell trades at Insperity is greater than that of the 1 peer company average over the last 90-day period. The Human Resources Consulting Services peer group saw 4 buy/sell trades during this period for an average of 4.0 transactions per company. However, the number of shares traded per transaction by Insperity insiders is lower than its peers. Within the peer group there were 0 shares purchased and 56,900 shares sold with company insiders having sold 14,225 shares on average over this time period.
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
* Arthur A Arizpe, Officer, sold 10,655 shares
* Douglas S Sharp, Officer, sold 3,096 shares
* Daniel D Herink, Officer, sold 3,324 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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