UiPath (NASDAQ:PATH) released its earnings results on Monday. The healthcare company reported $0.02 earnings per share (EPS) for the quarter, topping analysts’ consensus estimates of ($0.05) by $0.07, Fidelity Earnings reports.
NASDAQ PATH traded down $3.35 during midday trading on Wednesday, hitting $72.65. The company had a trading volume of 118,168 shares, compared to its average volume of 2,547,406. The stock has a fifty day moving average of $54.63. UiPath has a fifty-two week low of $61.50 and a fifty-two week high of $90.00.
Several research analysts have recently commented on the stock. Wolfe Research assumed coverage on shares of UiPath in a research note on Monday, May 17th. They set a “peer perform” rating and a $70.00 price target on the stock. Macquarie assumed coverage on shares of UiPath in a research note on Monday, May 17th. They set a “neutral” rating and a $69.00 price target on the stock. Wells Fargo & Company assumed coverage on shares of UiPath in a research note on Monday, May 17th. They set an “equal weight” rating and a $75.00 price target on the stock. JPMorgan Chase & Co. assumed coverage on shares of UiPath in a research note on Monday, May 17th. They set a “neutral” rating and a $68.00 price target on the stock. Finally, Canaccord Genuity restated a “hold” rating and set a $75.00 price target (up previously from $70.00) on shares of UiPath in a research note on Wednesday. They noted that the move was a valuation call. Eleven analysts have rated the stock with a hold rating and eight have given a buy rating to the company. UiPath currently has a consensus rating of “Hold” and an average target price of $76.89.
UiPath Inc provides an end-to-end automation platform that offers a range of robotic process automation (RPA) solutions primarily in the United States, Romania, and Japan. It develops UiPath Studio, a platform designed for RPA developers looking to build complex process automations with built-in governance capabilities, such as robust debugging tools, application programming interface automation, wizards to automate desktop or web applications, leverage custom code, and to integrate machine learning models into production workflows.
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