Aspen Technology (AZPN) Scheduled to Post Earnings on Saturday

Aspen Technology (NASDAQ:AZPN) will be releasing its earnings data on Saturday, April 27th. Aspen Technology has set its FY24 guidance at at least $6.59 EPS and its FY 2024 guidance at 6.590- EPS.

Aspen Technology (NASDAQ:AZPN) last announced its quarterly earnings results on Tuesday, February 6th. The technology company reported $1.17 earnings per share for the quarter, missing the consensus estimate of $1.23 by ($0.06). Aspen Technology had a negative net margin of 8.17% and a positive return on equity of 2.38%. The business had revenue of $257.16 million during the quarter, compared to analysts’ expectations of $259.70 million. On average, analysts expect Aspen Technology to post $6 EPS for the current fiscal year and $6 EPS for the next fiscal year.

Aspen Technology Stock Up 0.5 %

Shares of Aspen Technology stock opened at $198.00 on Friday. Aspen Technology has a twelve month low of $161.32 and a twelve month high of $234.24. The business has a 50-day moving average price of $199.90 and a 200 day moving average price of $196.40. The firm has a market cap of $12.58 billion, a PE ratio of -146.67, a P/E/G ratio of 2.01 and a beta of 0.77.

Analysts Set New Price Targets

Several equities analysts recently weighed in on the company. StockNews.com upgraded Aspen Technology from a “sell” rating to a “hold” rating in a research note on Wednesday, February 7th. Piper Sandler reiterated a “neutral” rating and set a $196.00 price objective on shares of Aspen Technology in a research note on Wednesday, February 7th. Four research analysts have rated the stock with a hold rating and two have assigned a buy rating to the company’s stock. According to data from MarketBeat.com, the company presently has a consensus rating of “Hold” and an average price target of $210.25.

About Aspen Technology

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.