Insider Sales at United Natural Foods (UNFI) are Significant and Extend the Selling Trend of Last Quarter

Wednesday, January 03, 2018 10:15 PM ET

Insider Sales at United Natural Foods (UNFI) are Significant and Extend the Selling Trend of Last Quarter

United Natural Foods, today, saw two insiders — Steven Spinner, Director and Officer, and Sean Griffin, Officer — dispose 61,377 shares having a market value of approximately $3,036,560, 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 37,238 company shares. Adding the most recent activity to this 90-day history indicates insider trades have seen net sales of 98,615 shares and have averaged 16,436 shares per transaction over this time period.

The number of insider buy/sell trades at United Natural Foods is higher than that of the 20 peer company average over the last 90-day period. The Food Retail & Distribution peer group saw 22 buy/sell trades during this period for an average of 1.1 transactions per company. However, the number of shares traded per transaction by United Natural Foods insiders is lower than its peers. Within the peer group there were 30,100 shares purchased and 116,235,394 shares sold with company insiders having sold 5,282,059 shares on average over this time period.

The data sourced 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
* Steven Spinner, Director and Officer, sold 49,026 shares
* Sean Griffin, Officer, sold 12,351 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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