International Business Machines (NYSE:IBM – Get Free Report) posted its earnings results on Wednesday. The technology company reported $1.68 EPS for the quarter, topping the consensus estimate of $1.59 by $0.09, Briefing.com reports. The firm had revenue of $14.46 billion during the quarter, compared to analysts’ expectations of $14.53 billion. International Business Machines had a net margin of 13.18% and a return on equity of 40.50%. International Business Machines’s quarterly revenue was up 1.5% on a year-over-year basis. During the same quarter in the prior year, the firm earned $1.36 EPS.
International Business Machines Trading Down 0.9 %
Shares of NYSE IBM traded down $1.53 during mid-day trading on Friday, hitting $167.38. 3,716,376 shares of the company traded hands, compared to its average volume of 4,940,208. The business has a 50 day moving average of $188.00 and a two-hundred day moving average of $169.97. The stock has a market capitalization of $153.44 billion, a price-to-earnings ratio of 18.91, a PEG ratio of 3.62 and a beta of 0.70. International Business Machines has a 1 year low of $120.55 and a 1 year high of $199.18. The company has a quick ratio of 0.93, a current ratio of 0.96 and a debt-to-equity ratio of 2.22.
International Business Machines Dividend Announcement
The business also recently disclosed a quarterly dividend, which was paid on Saturday, March 9th. Stockholders of record on Friday, February 9th were paid a dividend of $1.66 per share. This represents a $6.64 annualized dividend and a dividend yield of 3.97%. The ex-dividend date was Thursday, February 8th. International Business Machines’s dividend payout ratio is presently 75.20%.
Wall Street Analysts Forecast Growth
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About International Business Machines
International Business Machines Corporation, together with its subsidiaries, provides integrated solutions and services worldwide. The company operates through Software, Consulting, Infrastructure, and Financing segments. The Software segment offers a hybrid cloud and AI platforms that allows clients to realize their digital and AI transformations across the applications, data, and environments in which they operate.
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