Insider Sales at National Instruments (NATI) Extends the Selling Trend of Last Quarter

Wednesday, March 07, 2018 10:15 PM ET

Insider Sales at National Instruments (NATI) Extends the Selling Trend of Last Quarter

SEC filings today revealed notable insider sales of National Instruments shares as two insiders — Jeffrey L Kodosky, Director, and James J Truchard, Director — disposed of 144,100 shares in the company having a market value of approximately $7,328,253. 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 651,846 company shares over this time period. Adding the most recent activity to this 90-day history indicates insider trades have been net sales of 794,046 shares and have averaged 132,974 shares per transaction over this time period.

The number of insider buy/sell trades at National Instruments is above the 100 peer company average over the last 90-day period. The Software peer group saw 132 buy/sell trades during this period for an average of 1.3 transactions per company. The number of shares per buy/sell trade for National Instruments insiders was also higher. Within the peer group there were 464,089 shares purchased and 14,434,028 shares sold with company insiders selling 105,833 shares on average.

In order to focus on 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 data obtained to compose and write this story.

Today’s Insider Activity
* Jeffrey L Kodosky, Director, sold 1,600 shares
* James J Truchard, Director, sold 142,500 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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