Aspen Technology (AZPN) to Release Quarterly Earnings on Saturday

Aspen Technology (NASDAQ:AZPN) is scheduled to announce its earnings results 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 data on Tuesday, February 6th. The technology company reported $1.17 EPS for the quarter, missing analysts’ consensus estimates 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 company had revenue of $257.16 million for the quarter, compared to analyst estimates 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 %

NASDAQ:AZPN opened at $198.00 on Friday. Aspen Technology has a 12-month low of $161.32 and a 12-month high of $234.24. The firm has a market capitalization of $12.58 billion, a PE ratio of -146.67, a price-to-earnings-growth ratio of 2.01 and a beta of 0.77. The firm has a 50-day moving average price of $199.90 and a 200 day moving average price of $196.40.

Wall Street Analysts Forecast Growth

Several research firms recently issued reports on AZPN. StockNews.com raised shares of Aspen Technology from a “sell” rating to a “hold” rating in a research report on Wednesday, February 7th. Piper Sandler reissued a “neutral” rating and issued a $196.00 price target on shares of Aspen Technology in a research report on Wednesday, February 7th. Four research analysts have rated the stock with a hold rating and two have issued a buy rating to the stock. According to MarketBeat.com, Aspen Technology currently has a consensus rating of “Hold” and a consensus target price of $210.25.

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.