Big Data. Big Decisions
InformationWeek
Special Coverage Series


IBM Q3 Results Marred By Services Concerns

Big Blue posted across-the-board growth in all its business units, but investors see outsourcing slip as a red flag.

IBM shares were off 3.24% in midday trading Tuesday as investors shrugged at the company's solid third-quarter earnings and instead focused on a decline in new services contract signings during the period. Shares of Big Blue were down $4.63, to $138.20 on volume of more than 6 million.

IBM signed new services deals worth a total of $11 billion in the quarter, a 7% decrease from the previous year. Within that segment, outsourcing signings, where enterprises agree to hand off management and maintenance of their IT operations to IBM, fell off the most—down 15% from a year ago to $5.7 billion.

IBM officials said investor concerns about the decline were misplaced, blaming the shortfall on bad timing.

During a call with analysts Monday, CFO Mark Loughridge noted that a $1.7 billion deal with ABN AMRO closed Oct. 8, just eight days after the close of the quarter. Had the deal been included, the company's third-quarter new outsourcing signings would have increased by about 14%.

"It's very difficult to predict when these deals will close," said Loughridge. "Eight days is not going to make any difference in the yield to this contract," he added. IBM's total services revenue for the quarter increased 2%, to $14.1 billion.

Overall, IBM posted solid but not spectacular third quarter results. The company reported an 18% increase in earnings per share, to $2.82. Wall Street analysts, on average, were expecting EPS of $2.71. Revenue rose 3%, to $24.3 billion, above expectations of $24.1 billion.

Leading the way for IBM was its Systems and Technology hardware unit, which houses servers and mainframes. S&T revenue increased 10% year-over-year, to $4.3 billion. Sales of industry standard System x servers increased 30%, fueled in part by the company's introduction earlier this year of its eX5 chipset technology. The technology promises to reduce the number of servers required for a given workload by 50%, cut storage costs by 97%, and lower licensing fees by half, IBM said.

Sales of System z mainframes increased 15%, as IBM added the new zEnterprise system to its heavy metal lineup. The zEnterprise incorporates 96 industry-fastest 5.2 GHz processors, to enable real-time and in-line transaction processing. The system can also support up to 100,000 virtual images.

Software sales rose 1%, to $5.2 billion, on the strength of solid performance from IBM's existing portfolio of middleware products, including Tivoli, Lotus, and Rational brands, as well as revenue from acquired products that came on line during the quarter.

"In the third quarter we grew revenue in our hardware, software, and services businesses, expanded margins, and again increased earnings per share at double digits," said IBM CEO Sam Palmisano, in a statement.

"Looking ahead, we are uniquely positioned in the enterprise, investing in high value segments like business analytics, advanced systems, and smarter planet solutions," he added. Palmisano said IBM is on pace to deliver full-year EPS of at least $11.40.



Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.