Brokerages Expect QuickLogic Co. (NASDAQ:QUIK) Will Post Earnings of -$0.07 Per Share
Wall Street analysts forecast that QuickLogic Co. (NASDAQ:QUIK) will announce ($0.07) earnings per share for the current quarter, Zacks reports. Two analysts have issued estimates for QuickLogic’s earnings. The highest EPS estimate is ($0.06) and the lowest is ($0.07). QuickLogic reported earnings of ($0.37) per share during the same quarter last year, which would suggest a positive year-over-year growth rate of 81.1%. The firm is expected to announce its next quarterly earnings report after the market closes on Tuesday, May 18th.
On average, analysts expect that QuickLogic will report full year earnings of ($0.28) per share for the current fiscal year, with EPS estimates ranging from ($0.32) to ($0.23). For the next fiscal year, analysts anticipate that the company will report earnings of ($0.09) per share, with EPS estimates ranging from ($0.13) to ($0.04). Zacks Investment Research’s EPS averages are an average based on a survey of sell-side research analysts that follow QuickLogic.
QuickLogic (NASDAQ:QUIK) last released its earnings results on Tuesday, February 16th. The semiconductor company reported ($0.15) earnings per share for the quarter, missing the consensus estimate of ($0.13) by ($0.02). The company had revenue of $2.50 million for the quarter, compared to analysts’ expectations of $2.70 million. QuickLogic had a negative return on equity of 78.90% and a negative net margin of 125.18%. During the same period in the prior year, the firm posted ($0.29) EPS.
In other news, Director Andrew J. Pease bought 6,104 shares of QuickLogic stock in a transaction that occurred on Monday, February 22nd. The shares were purchased at an average price of $7.89 per share, with a total value of $48,160.56. Following the completion of the acquisition, the director now directly owns 9,410 shares in the company, valued at $74,244.90. The acquisition was disclosed in a legal filing with the Securities & Exchange Commission, which can be accessed through this hyperlink. 2.87% of the stock is owned by company insiders.
Institutional investors and hedge funds have recently made changes to their positions in the company. Squarepoint Ops LLC purchased a new position in shares of QuickLogic during the third quarter worth approximately $42,000. Adalta Capital Management LLC purchased a new position in shares of QuickLogic during the fourth quarter worth approximately $76,000. Renaissance Technologies LLC purchased a new position in shares of QuickLogic during the fourth quarter worth approximately $95,000. BlackRock Inc. grew its position in shares of QuickLogic by 5.1% during the fourth quarter. BlackRock Inc. now owns 152,717 shares of the semiconductor company’s stock worth $578,000 after acquiring an additional 7,361 shares during the last quarter. Finally, Roubaix Capital LLC purchased a new position in shares of QuickLogic during the first quarter worth approximately $1,120,000. Institutional investors and hedge funds own 26.10% of the company’s stock.
Shares of QUIK traded down $0.15 during trading hours on Tuesday, hitting $6.00. The stock had a trading volume of 799 shares, compared to its average volume of 384,086. The company has a debt-to-equity ratio of 0.04, a quick ratio of 1.44 and a current ratio of 1.60. The firm has a 50-day moving average price of $7.14 and a 200 day moving average price of $5.02. QuickLogic has a fifty-two week low of $2.52 and a fifty-two week high of $12.49. The firm has a market capitalization of $67.62 million, a price-to-earnings ratio of -4.65 and a beta of 1.99.
QuickLogic Company Profile
QuickLogic Corporation, a semiconductor company, develops semiconductor platforms and intellectual property solutions for smartphones, wearable, hearable, tablets, and the Internet-of-Things devices. It also provides flexible sensor processing solutions, ultra-low power display bridges, ultra-low power field programmable gate arrays (FPGAs); and analytics toolkit, an end-to-end software suite that offers processes for developing pattern matching sensor algorithms using machine learning technology, as well as programming hardware and design software solutions.
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