International Business Machines (NYSE:IBM – Get Free Report) announced its quarterly earnings results on Wednesday. The technology company reported $2.30 earnings per share (EPS) for the quarter, beating the consensus estimate of $2.25 by $0.05, Briefing.com reports. The firm had revenue of $14.97 billion during the quarter, compared to the consensus estimate of $15.08 billion. International Business Machines had a return on equity of 40.59% and a net margin of 13.52%. The firm’s quarterly revenue was up 1.5% compared to the same quarter last year. During the same period in the prior year, the firm earned $2.20 EPS.
International Business Machines Trading Down 6.3 %
NYSE IBM traded down $14.57 on Thursday, hitting $218.18. 4,330,480 shares of the stock were exchanged, compared to its average volume of 4,192,041. The company’s 50-day moving average price is $214.67 and its two-hundred day moving average price is $190.05. The company has a debt-to-equity ratio of 2.20, a current ratio of 1.12 and a quick ratio of 1.08. International Business Machines has a 52-week low of $136.33 and a 52-week high of $237.37. The company has a market capitalization of $200.42 billion, a price-to-earnings ratio of 24.71, a P/E/G ratio of 5.21 and a beta of 0.70.
International Business Machines Announces Dividend
The company also recently declared 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 annualized dividend and a dividend yield of 3.06%. International Business Machines’s dividend payout ratio (DPR) is presently 75.65%.
Analyst Upgrades and Downgrades
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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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