Wednesday, December 13, 2017 10:15 PM ET
Significant Insider Sales of Party City Holdco (PRTY) Shares Reverses Buying Trend of Last 90 Days
Party City Holdco, today, saw four insiders — Advent, THOMAS H. LEE ADVISORS, LLC, Collins, and Case — dispose 10,083,144 shares having a market value of approximately $127,753,434, as reported in form 4 documents filed with the SEC. There have been 2 insiders with buy/sell transactions in the past 90 days prior to these filings. All of these trades have been buys resulting in the acquisition of 25,000 company shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net sales of 10,058,144 shares and have averaged 1,684,691 shares per transaction over this time period.
The level of buy/sell trading at Party City Holdco is is above the 19 peer company average over the last 90-day period. The Other Specialty Retailers peer group saw 16 buy/sell trades during this period for an average of 0.8 transactions per company. The number of shares per buy/sell trade for Party City Holdco insiders was also higher. Within the peer group there were 62,100 shares purchased and 1,759,412 shares sold with company insiders having sold 106,082 shares on average.
Insider buying and selling activity that is significant has been determined by eliminating 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 in creating and writing this story.
Today’s Insider Activity
* International Corp/Ma Advent, 10% Owner, sold 2,558,306 shares
* THOMAS H. LEE ADVISORS, LLC, 10% Owner and Director, sold 7,441,694 shares
* Steven J Collins, Director, sold 40,165 shares
* Jefferson M Case, Director, sold 42,979 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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