International Business Machines (NYSE:IBM – Get Free Report) posted its quarterly earnings data on Wednesday. The technology company reported $1.68 earnings per share (EPS) for the quarter, topping analysts’ consensus estimates of $1.59 by $0.09, Briefing.com reports. International Business Machines had a return on equity of 40.50% and a net margin of 13.18%. The firm had revenue of $14.46 billion during the quarter, compared to analysts’ expectations of $14.53 billion. During the same period in the prior year, the business earned $1.36 EPS. The company’s revenue for the quarter was up 1.5% compared to the same quarter last year.
International Business Machines Stock Performance
Shares of NYSE IBM traded down $1.47 during midday trading on Friday, hitting $167.44. 4,836,461 shares of the stock traded hands, compared to its average volume of 4,955,068. The firm has a 50-day moving average of $188.00 and a two-hundred day moving average of $169.97. The firm has a market capitalization of $153.50 billion, a P/E ratio of 18.96, a PEG ratio of 3.62 and a beta of 0.70. The company has a debt-to-equity ratio of 2.22, a quick ratio of 0.93 and a current ratio of 0.96. International Business Machines has a one year low of $120.55 and a one year high of $199.18.
International Business Machines Dividend Announcement
The company also recently declared a quarterly dividend, which was paid on Saturday, March 9th. Stockholders of record on Friday, February 9th were issued a dividend of $1.66 per share. The ex-dividend date was Thursday, February 8th. This represents a $6.64 annualized dividend and a dividend yield of 3.97%. International Business Machines’s payout ratio is 75.20%.
Analyst Upgrades and Downgrades
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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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