Insider Sales at Barracuda Networks (CUDA) Extends the Selling Trend of Last Quarter

Wednesday, October 04, 2017 10:15 PM ET

Insider Sales at Barracuda Networks (CUDA) Extends the Selling Trend of Last Quarter

Three insiders — Michael D Perone, Director, William D Jenkins Jr, Director and Officer, and Dustin Driggs, Officer — today, disposed of 400,373 shares of Barracuda Networks having a market value of approximately $9,768,140, as revealed in form 4 documents filed with the SEC. 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 2,267,424 company shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net sales of 2,667,797 shares and have averaged 381,114 shares per transaction over this time period.

Insiders at Barracuda Networks have a level of buy/sell trades that is above the 154-peer company average over the last 90-day period. The IT Services & Consulting peer group saw 259 buy/sell trades during this period for an average of 1.7 transactions per company. The number of shares per buy/sell trade for Barracuda Networks insiders was also higher. Within the peer group there were 561,851 shares purchased and 18,014,302 shares sold with company insiders disposing of 67,384 shares on average.

The data used in composing and writing in this story eliminates 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.

Today’s Insider Activity
* Michael D Perone, Director, sold 378,738 shares
* William D Jenkins Jr, Director and Officer, sold 16,500 shares
* Dustin Driggs, Officer, sold 5,135 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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