Equities researchers at Roth Capital started coverage on shares of Medallia (NASDAQ:MDLA) in a research note issued on Tuesday, BenzingaRatingsTable reports. The firm set a “buy” rating and a $52.00 price target on the stock. Roth Capital’s price objective points to a potential upside of 26.03% from the company’s current price.
Other equities analysts also recently issued reports about the company. SunTrust Banks began coverage on Medallia in a report on Tuesday. They set a “buy” rating and a $47.00 price target for the company. CIBC began coverage on Medallia in a report on Tuesday. They set an “outperform” rating and a $55.00 price target for the company. Citigroup started coverage on Medallia in a report on Tuesday. They set a “neutral” rating and a $40.00 price target for the company. William Blair started coverage on Medallia in a report on Tuesday. They issued an “outperform” rating for the company. Finally, UBS Group started coverage on Medallia in a report on Tuesday. They issued an “outperform” rating and a $55.00 price objective for the company. Two analysts have rated the stock with a hold rating and eleven have assigned a buy rating to the company’s stock. The stock presently has an average rating of “Buy” and an average target price of $48.42.
Shares of NASDAQ:MDLA traded up $1.83 on Tuesday, hitting $41.26. 265,252 shares of the company traded hands, compared to its average volume of 1,119,395. Medallia has a 52 week low of $32.05 and a 52 week high of $44.72.
In other Medallia news, Director Borge Hald sold 1,765,000 shares of the firm’s stock in a transaction dated Tuesday, July 23rd. The stock was sold at an average price of $19.53, for a total value of $34,470,450.00. The sale was disclosed in a legal filing with the SEC, which is available through this hyperlink.
Medallia, Inc provides an enterprise Software-as-a-Service platform in North America, Europe, the Middle East, Africa, and internationally. The company's platform utilizes deep learning-based artificial intelligence technology to analyze structured and unstructured data from signal fields in human, digital, and Internet of Things interactions.
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