Analysts at CIBC assumed coverage on shares of Medallia (NASDAQ:MDLA) in a note issued to investors on Tuesday, FirstToMarketsRatingsTable reports. The brokerage set an “outperform” rating and a $55.00 price target on the stock. CIBC’s target price points to a potential upside of 33.30% from the company’s current price.
Several other analysts also recently weighed in on the company. William Blair assumed coverage on Medallia in a report on Tuesday. They issued an “outperform” rating for the company. Stephens assumed coverage on Medallia in a research report on Monday, July 29th. They issued an “overweight” rating and a $52.00 price target on the stock. SunTrust Banks assumed coverage on Medallia in a research report on Tuesday. They issued a “buy” rating and a $47.00 price target on the stock. Credit Suisse Group assumed coverage on Medallia in a research report on Tuesday. They issued a “neutral” rating and a $42.00 price target on the stock. Finally, Bank of America assumed coverage on Medallia in a research report on Tuesday. They issued a “buy” rating and a $50.00 price target on the stock. Two analysts have rated the stock with a hold rating and eleven have issued a buy rating to the company’s stock. Medallia presently has an average rating of “Buy” and an average price target of $48.42.
Shares of Medallia stock traded up $1.83 on Tuesday, hitting $41.26. The stock had a trading volume of 265,252 shares, 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 related news, Director Borge Hald sold 1,765,000 shares of the business’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 at the SEC website.
Medallia Company Profile
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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