International Business Machines (NYSE:IBM – Get Free Report) posted its quarterly earnings data on Wednesday. The technology company reported $1.68 earnings per share for the quarter, beating the consensus estimate of $1.59 by $0.09, Briefing.com reports. International Business Machines had a net margin of 13.18% and a return on equity of 40.50%. The firm had revenue of $14.46 billion for the quarter, compared to analysts’ expectations of $14.53 billion. During the same quarter last year, the company posted $1.36 EPS. The business’s quarterly revenue was up 1.5% on a year-over-year basis.
International Business Machines Stock Performance
NYSE IBM traded down $2.15 on Friday, hitting $166.76. 3,901,732 shares of the company traded hands, compared to its average volume of 4,942,899. The company has a current ratio of 0.96, a quick ratio of 0.93 and a debt-to-equity ratio of 2.22. The business’s 50 day moving average price is $188.00 and its 200-day moving average price is $169.97. The company has a market capitalization of $152.88 billion, a price-to-earnings ratio of 18.91, a P/E/G ratio of 3.62 and a beta of 0.70. International Business Machines has a 52-week low of $120.55 and a 52-week high of $199.18.
International Business Machines Announces Dividend
The firm also recently declared a quarterly dividend, which was paid on Saturday, March 9th. Shareholders of record on Friday, February 9th were given a $1.66 dividend. The ex-dividend date was Thursday, February 8th. This represents a $6.64 annualized dividend and a yield of 3.98%. International Business Machines’s payout ratio is presently 75.20%.
Analysts Set New Price Targets
Check Out Our Latest Stock Report on IBM
International Business Machines Company Profile
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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