Aspen Technology (NASDAQ:AZPN – Get Free Report) issued its earnings results on Monday. The technology company reported $0.85 EPS for the quarter, missing analysts’ consensus estimates of $1.39 by ($0.54), Briefing.com reports. Aspen Technology had a positive return on equity of 2.96% and a negative net margin of 0.87%. The firm had revenue of $215.90 million for the quarter, compared to analysts’ expectations of $265.04 million. During the same period last year, the firm earned $0.96 earnings per share. Aspen Technology’s revenue for the quarter was down 13.4% on a year-over-year basis. Aspen Technology updated its FY25 guidance to $7.52 EPS.
Aspen Technology Trading Up 0.5 %
Shares of NASDAQ AZPN traded up $1.10 during trading hours on Wednesday, reaching $242.10. The stock had a trading volume of 164,249 shares, compared to its average volume of 211,647. The firm has a market cap of $15.31 billion, a price-to-earnings ratio of -1,506.16, a PEG ratio of 2.73 and a beta of 0.76. The firm has a 50-day moving average of $233.69 and a 200-day moving average of $213.24. Aspen Technology has a fifty-two week low of $162.26 and a fifty-two week high of $248.00.
Insider Buying and Selling
In related news, Director Jr. Robert M. Whelan sold 1,000 shares of the firm’s stock in a transaction dated Wednesday, August 28th. The shares were sold at an average price of $219.10, for a total value of $219,100.00. Following the completion of the sale, the director now owns 8,540 shares in the company, valued at $1,871,114. This trade represents a 0.00 % decrease in their ownership of the stock. The sale was disclosed in a document filed with the Securities & Exchange Commission, which is available at this link. Corporate insiders own 1.00% of the company’s stock.
Analyst Ratings Changes
Read Our Latest Stock Report on AZPN
Aspen Technology Company Profile
Aspen Technology, Inc provides industrial software that focuses on helping customers in asset-intensive industries worldwide. The company’s solutions address complex environments where it is critical to optimize the asset design, operation, and maintenance lifecycle. Its software is used in performance engineering, modeling and design, supply chain management, predictive and prescriptive maintenance, digital grid management, and industrial data management.
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