Old North State Trust LLC raised its position in shares of International Business Machines Co. (NYSE:IBM – Free Report) by 13.6% in the third quarter, according to its most recent Form 13F filing with the Securities and Exchange Commission (SEC). The firm owned 4,399 shares of the technology company’s stock after acquiring an additional 525 shares during the period. Old North State Trust LLC’s holdings in International Business Machines were worth $973,000 as of its most recent SEC filing.
Other hedge funds and other institutional investors also recently made changes to their positions in the company. Ellenbecker Investment Group boosted its position in shares of International Business Machines by 2.3% during the third quarter. Ellenbecker Investment Group now owns 2,049 shares of the technology company’s stock worth $453,000 after buying an additional 46 shares during the period. Goldstein Advisors LLC lifted its stake in International Business Machines by 4.0% in the 3rd quarter. Goldstein Advisors LLC now owns 1,217 shares of the technology company’s stock valued at $269,000 after acquiring an additional 47 shares in the last quarter. Vertex Planning Partners LLC boosted its position in International Business Machines by 3.6% during the 3rd quarter. Vertex Planning Partners LLC now owns 1,346 shares of the technology company’s stock worth $298,000 after acquiring an additional 47 shares during the last quarter. Sollinda Capital Management LLC grew its stake in shares of International Business Machines by 3.7% during the 3rd quarter. Sollinda Capital Management LLC now owns 1,360 shares of the technology company’s stock worth $301,000 after acquiring an additional 49 shares in the last quarter. Finally, Lansing Street Advisors boosted its holdings in International Business Machines by 3.4% during the third quarter. Lansing Street Advisors now owns 1,503 shares of the technology company’s stock worth $332,000 after purchasing an additional 49 shares during the last quarter. 58.96% of the stock is owned by institutional investors and hedge funds.
Wall Street Analysts Forecast Growth
Several brokerages have commented on IBM. UBS Group boosted their price target on shares of International Business Machines from $130.00 to $145.00 and gave the stock a “sell” rating in a research report on Wednesday, September 4th. Evercore ISI increased their price target on International Business Machines from $215.00 to $240.00 and gave the company an “outperform” rating in a research report on Wednesday, September 11th. Jefferies Financial Group boosted their price target on International Business Machines from $200.00 to $245.00 and gave the stock a “hold” rating in a research report on Monday, October 21st. Stifel Nicolaus increased their price objective on International Business Machines from $205.00 to $246.00 and gave the company a “buy” rating in a report on Wednesday, October 16th. Finally, Bernstein Bank upped their price target on shares of International Business Machines from $185.00 to $210.00 and gave the stock a “market perform” rating in a research report on Thursday, October 3rd. Three analysts have rated the stock with a sell rating, nine have issued a hold rating and six have issued a buy rating to the company. According to MarketBeat, the stock presently has a consensus rating of “Hold” and an average target price of $208.12.
International Business Machines Price Performance
NYSE:IBM opened at $232.26 on Friday. The company has a debt-to-equity ratio of 2.16, a quick ratio of 1.01 and a current ratio of 1.06. The firm has a market cap of $214.76 billion, a price-to-earnings ratio of 33.81, a P/E/G ratio of 5.17 and a beta of 0.73. International Business Machines Co. has a 52 week low of $157.88 and a 52 week high of $239.35. The firm’s 50-day simple moving average is $222.57 and its 200 day simple moving average is $201.12.
International Business Machines (NYSE:IBM – Get Free Report) last issued its quarterly earnings results on Wednesday, October 23rd. The technology company reported $2.30 earnings per share (EPS) for the quarter, topping analysts’ consensus estimates of $2.27 by $0.03. International Business Machines had a return on equity of 40.52% and a net margin of 10.22%. The business had revenue of $14.97 billion for the quarter, compared to the consensus estimate of $15.08 billion. The firm’s quarterly revenue was up 1.5% compared to the same quarter last year. During the same quarter in the prior year, the business posted $2.20 earnings per share. As a group, sell-side analysts predict that International Business Machines Co. will post 10.12 earnings per share for the current year.
International Business Machines Announces Dividend
The business also recently declared a quarterly dividend, which was paid on Tuesday, December 10th. Investors of record on Tuesday, November 12th were paid a $1.67 dividend. This represents a $6.68 dividend on an annualized basis and a yield of 2.88%. The ex-dividend date was Tuesday, November 12th. International Business Machines’s dividend payout ratio (DPR) is presently 97.23%.
Insider Buying and Selling
In other International Business Machines news, SVP Nickle Jaclyn Lamoreaux sold 3,600 shares of the firm’s stock in a transaction on Friday, November 8th. The stock was sold at an average price of $215.20, for a total value of $774,720.00. Following the sale, the senior vice president now owns 25,390 shares of the company’s stock, valued at approximately $5,463,928. This trade represents a 12.42 % decrease in their position. The sale was disclosed in a document filed with the SEC, which can be accessed through the SEC website. 0.07% of the stock is currently owned by company insiders.
International Business Machines 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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