Cloudera (CLDR) Issues Q1 Earnings Guidance

Cloudera (NYSE:CLDR) updated its first quarter earnings guidance on Wednesday. The company provided EPS guidance of ($0.25)-($0.22) for the period, compared to the Thomson Reuters consensus EPS estimate of ($0.04). The company issued revenue guidance of $187-$190 million, compared to the consensus revenue estimate of $219.01 million.Cloudera also updated its FY 2020 guidance to $-0.36–0.32 EPS.

Several equities analysts recently commented on the stock. Zacks Investment Research cut shares of Cloudera from a buy rating to a hold rating in a research note on Tuesday, February 26th. ValuEngine cut shares of Cloudera from a buy rating to a hold rating in a research note on Monday, February 4th. Barclays assumed coverage on shares of Cloudera in a research note on Monday. They set an equal weight rating and a $16.00 target price for the company. Citigroup cut their target price on shares of Cloudera from $24.00 to $22.00 and set a buy rating for the company in a research note on Friday, December 7th. Finally, Morgan Stanley assumed coverage on shares of Cloudera in a research note on Tuesday. They set an equal weight rating and a $16.00 target price for the company. Nine investment analysts have rated the stock with a hold rating, twelve have given a buy rating and one has assigned a strong buy rating to the company. The company currently has an average rating of Buy and an average target price of $20.56.

Shares of CLDR stock traded up $0.25 during mid-day trading on Wednesday, reaching $14.61. The company’s stock had a trading volume of 9,699,412 shares, compared to its average volume of 3,316,501. Cloudera has a 1-year low of $10.07 and a 1-year high of $22.42. The stock has a market cap of $2.20 billion, a price-to-earnings ratio of -4.52 and a beta of 1.66.

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Cloudera Company Profile

Cloudera, Inc provides platform for machine learning and analytics in the United States, Europe, and Asia. The company operates through two segments, Subscription and Services. Its platform delivers an integrated suite of capabilities for data management, machine learning, and analytics to customers for transforming their businesses.

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