Wednesday, February 28, 2018 10:15 PM ET
Insiders at National Instruments (NATI) Make Significant Stock Sales Extends the Trend of Last Quarter
A significant level of insider sales in National Instruments was reported in form 4 documents filed with the SEC today. Two insiders — Jeffrey L Kodosky, Director, and James J Truchard, Director — disposed of 104,100 shares in the company having a market value of approximately $5,266,021. There have been 4 insiders with buy/sell transactions in the past 90 days prior to these filings. These trades have resulted in the purchase of 1,900 company shares and the sale of 517,246 company shares over this time period. Adding the most recent activity to this 90-day history indicates insider trades have been net sales of 619,446 shares and have averaged 103,874 shares per transaction over this time period.
The number of insider buy/sell trades at National Instruments is higher than that of the 100 peer company average over the last 90-day period. The Software peer group saw 130 buy/sell trades during this period for an average of 1.3 transactions per company. However, the number of shares traded per transaction by National Instruments insiders is lower than its peers. Within the peer group there were 309,300 shares purchased and 14,652,053 shares sold with company insiders disposing of 110,329 shares on average over this time period.
For the purpose of evaluating significant insider buying and selling all 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 compose and write this story.
Today’s Insider Activity
* Jeffrey L Kodosky, Director, sold 1,600 shares
* James J Truchard, Director, sold 102,500 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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