Synopsys (NASDAQ:SNPS) updated its FY20 earnings guidance on Wednesday. The company provided earnings per share (EPS) guidance of $5.18-5.25 for the period, compared to the Thomson Reuters consensus estimate of $5.07. The company issued revenue guidance of $3.6-3.65 billion, compared to the consensus revenue estimate of $3.62 billion.Synopsys also updated its FY 2020
After-Hours guidance to 5.18-5.25 EPS.
SNPS traded down $3.71 during trading on Thursday, hitting $132.30. 56,679 shares of the company’s stock were exchanged, compared to its average volume of 1,078,809. The company has a quick ratio of 0.90, a current ratio of 0.99 and a debt-to-equity ratio of 0.03. The business’s 50 day moving average is $137.45 and its two-hundred day moving average is $133.09. Synopsys has a fifty-two week low of $79.14 and a fifty-two week high of $146.66. The stock has a market cap of $21.20 billion, a P/E ratio of 47.11, a PEG ratio of 3.46 and a beta of 1.20.
Synopsys (NASDAQ:SNPS) last issued its quarterly earnings data on Wednesday, December 4th. The semiconductor company reported $1.15 earnings per share (EPS) for the quarter, beating analysts’ consensus estimates of $1.13 by $0.02. The firm had revenue of $851.10 million during the quarter, compared to analysts’ expectations of $847.34 million. Synopsys had a net margin of 18.94% and a return on equity of 16.56%. The business’s revenue was up 7.0% on a year-over-year basis. During the same period last year, the company earned $0.78 earnings per share. On average, sell-side analysts forecast that Synopsys will post 3.15 earnings per share for the current year.
Synopsys, Inc provides electronic design automation software products used to design and test integrated circuits (ICs). It offers Fusion Design Platform, a digital design implementation solution; Verification Continuum Platform, which provides virtual prototyping, static and formal verification, simulation, emulation, field-programmable gate array (FPGA)-based prototyping, and debug solutions; and FPGA design products that are programmed to perform specific functions.
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