Significant Insider Sales Reported in Shares of Cloudera (CLDR) Extending the Trend of Last Quarter

Wednesday, October 04, 2017 10:15 PM ET

Significant Insider Sales Reported in Shares of Cloudera (CLDR) Extending the Trend of Last Quarter

There was significant net selling of Cloudera shares by insiders today, as disclosed in form 4 documents filed with the SEC. Three insiders — Ping Li, 10% Owner and Director, Accel X LP, 10% Owner, and Michael Olson, Officer — sold 13,645,012 shares in the company having a market value of approximately $215,482,030. There was one insider buy/sell transaction in the past 90 days prior to these transactions which resulted in the sale of 3,575,098 shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net sales of 17,220,110 shares and have averaged 4,305,028 shares per transaction over this time period.

During the last 90 days, the number of insider buy/sell trades at Cloudera is greater than the 5-company peer group average. Data Processing Services peer group saw 1 buy/sell trades during this period for an average of 0.2 transactions per company. The number of shares per buy/sell trade for Cloudera insiders was also higher. Within the peer group there were 0 shares purchased and 3,575,098 shares sold with company insiders having sold 3,575,098 shares on average.

In determining significant insider buying and selling, 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 obtained to create and write this story.

Today’s Insider Activity
* Ping Li, 10% Owner and Director, sold 6,528,862 shares
* Accel X LP, 10% Owner, sold 6,528,862 shares
* Michael Olson, Officer, sold 587,288 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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