International Business Machines (NYSE:IBM – Get Free Report) issued its earnings results on Wednesday. The technology company reported $2.30 earnings per share (EPS) for the quarter, topping analysts’ consensus estimates of $2.25 by $0.05, Briefing.com reports. International Business Machines had a return on equity of 40.59% and a net margin of 13.52%. The business had revenue of $14.97 billion during the quarter, compared to the consensus estimate of $15.08 billion. During the same period last year, the company earned $2.20 EPS. The company’s revenue for the quarter was up 1.5% on a year-over-year basis.
International Business Machines Stock Performance
Shares of NYSE:IBM traded down $13.05 during midday trading on Thursday, hitting $219.70. The stock had a trading volume of 3,620,601 shares, compared to its average volume of 4,188,595. The company has a current ratio of 1.12, a quick ratio of 1.08 and a debt-to-equity ratio of 2.20. The company has a market capitalization of $201.82 billion, a PE ratio of 24.55, a P/E/G ratio of 5.21 and a beta of 0.70. International Business Machines has a 1 year low of $136.33 and a 1 year high of $237.37. The stock has a 50 day moving average price of $214.67 and a two-hundred day moving average price of $190.05.
International Business Machines Announces Dividend
The company also recently disclosed a quarterly dividend, which was paid on Tuesday, September 10th. Investors of record on Friday, August 9th were given a $1.67 dividend. The ex-dividend date of this dividend was Friday, August 9th. This represents a $6.68 dividend on an annualized basis and a yield of 3.04%. International Business Machines’s dividend payout ratio (DPR) is 75.65%.
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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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