Discover Financial Services (DFS) sees Significant Insider Sales Extending the Trend of Last Quarter

Friday, November 03, 2017 10:15 PM ET

Discover Financial Services (DFS) sees Significant Insider Sales Extending the Trend of Last Quarter

Four insiders — Nelms, Offereins, Corley, and Minetti — today, sold 57,000 shares of Discover Financial Services having a market value of approximately $3,804,650, as revealed in form 4 documents filed with the SEC. There have been 6 insiders with buy/sell transactions in the past 90 days prior to these filings. All of these trades have been sales resulting in the sale of 161,019 company shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net sales of 218,019 shares and have averaged 21,802 shares per transaction over this time period.

Over the last 90 days, the number of insider buy/sell trades at Discover Financial Services is above the 20-company peer group average. Consumer Lending peer group saw 27 buy/sell trades during this period for an average of 1.4 transactions per company. The number of shares per buy/sell trade for Discover Financial Services insiders was also higher. Within the peer group there were 25,000 shares purchased and 279,046 shares sold with company insiders disposing of 9,409 shares on average.

The data obtained in evaluating 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
* David W Nelms, Director and Officer, sold 30,000 shares
* Diane E Offereins, Officer, sold 15,000 shares
* Kathryn McNamara Corley, Officer, sold 4,000 shares
* Carlos Minetti, Officer, sold 8,000 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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