Welcome!

Weblogic Authors: Yeshim Deniz, Elizabeth White, Michael Meiner, Michael Bushong, Avi Rosenthal

News Feed Item

Earning Forecast for Bank of America, Facebook, Ford Motor, Research In Motion, Oracle, and Gilead Sciences

HONG KONG, June 6, 2013 /PRNewswire/ -- EarningForecast.com has issued earnings forecast reports for the following US stocks: Bank of America (NYSE:BAC), Facebook (NASDAQ:FB), Ford Motor (NYSE:F), Research In Motion (NASDAQ:BBRY), Oracle (NASDAQ:ORCL), and Gilead Sciences (NASDAQ:GILD).

(Logo: http://photos.prnewswire.com/prnh/20130425/HK01577LOGO )

(Read full report by clicking the link below, you may need to copy and paste the full link to your browser.)

Report Highlights:

Bank of America Corp (NYSE:BAC): By the end of trading session, Bank of America (NYSE:BAC) shares dropped 1.95% to US$13.09 with more than 185.69 million shares traded, compared to its average volume of 130.36 million shares. The nation's second-largest bank was dragged back to negotiate table to settle a legal dispute which was thought already resolved. New evidence was provided for the US$8.5 billion settlement deal. Observing comprehensive analysis of Bank of America could help investors avoid big lost in investment. Check BAC earnings forecast report below.

Read Full Report: http://www.earningforecast.com/PR/060613A/BAC/BankofAmerica.pdf

Facebook Inc (NASDAQ:FB): Facebook (NASDAQ:FB) shares began the trading session with a price of US$23.35. When day-trade ended, the stock finally lost US$0.62 (or 2.64%) to US$22.90. The stock traded 53.82 million shares in the last trading session, compared to its daily average of 40.44 million shares. The social network company shares fell roughly 20% in the past month. Facebook's ad growth is running below investor's expectation and more worries about the teenagers leaving social networks. Investors may want to find out where Facebook will go from here. Observe comprehensive FB earnings forecast report here.

Read Full Report: http://www.earningforecast.com/PR/060613A/FB/Facebook.pdf

Ford Motor Company (NYSE:F): The share of Ford Motor (NYSE:F) began the trading session with a price of US$15.70. When day-trade ended, the stock price plunged 3.36% to US$15.25. The stock traded 64.86 million shares in the last trading session, heavier than its daily average of 44.19 million shares. Ford posted the significant market share increasing in "Asia Pacific Africa" region in the first quarter of 2013. Do you think Ford will go on? Do you think now is a good time to buy the stock? Investors could check F earnings forecast report here.

Read Full Report: http://www.earningforecast.com/PR/060613A/F/FordMotor.pdf

Today EarningForecast.com also observed abnormal trade volume for the following companies; Check out the consensus earnings forecast reports below:

Research In Motion Ltd (NASDAQ:BBRY):

Read Full Report: http://www.earningforecast.com/PR/060613A/BBRY/ResearchInMotion.pdf

Oracle Corporation (NASDAQ:ORCL):

Read Full Report: http://www.earningforecast.com/PR/060613A/ORCL/Oracle.pdf

Gilead Sciences, Inc. (NASDAQ:GILD):

Read Full Report: http://www.earningforecast.com/PR/060613A/GILD/GileadSciences.pdf

About EarningForecast.com:

EarningForecast.com focuses on tracking and monitoring company Earnings Data for top market movers in US stocks market. EarningForecast.com features a team of experienced data analysts striving to provide the investment community with the tools, software, and data necessary to carry out more effective investment research.

Important Disclaimer:

Please visit: EarningForecast.com/disclaimers/index.php for details.

SOURCE EarningForecast.com

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
The Japan External Trade Organization (JETRO) is a non-profit organization that provides business support services to companies expanding to Japan. With the support of JETRO's dedicated staff, clients can incorporate their business; receive visa, immigration, and HR support; find dedicated office space; identify local government subsidies; get tailored market studies; and more.
As you know, enterprise IT conversation over the past year have often centered upon the open-source Kubernetes container orchestration system. In fact, Kubernetes has emerged as the key technology -- and even primary platform -- of cloud migrations for a wide variety of organizations. Kubernetes is critical to forward-looking enterprises that continue to push their IT infrastructures toward maximum functionality, scalability, and flexibility. As they do so, IT professionals are also embr...
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
Atmosera delivers modern cloud services that maximize the advantages of cloud-based infrastructures. Offering private, hybrid, and public cloud solutions, Atmosera works closely with customers to engineer, deploy, and operate cloud architectures with advanced services that deliver strategic business outcomes. Atmosera's expertise simplifies the process of cloud transformation and our 20+ years of experience managing complex IT environments provides our customers with the confidence and trust tha...
AI and machine learning disruption for Enterprises started happening in the areas such as IT operations management (ITOPs) and Cloud management and SaaS apps. In 2019 CIOs will see disruptive solutions for Cloud & Devops, AI/ML driven IT Ops and Cloud Ops. Customers want AI-driven multi-cloud operations for monitoring, detection, prevention of disruptions. Disruptions cause revenue loss, unhappy users, impacts brand reputation etc.
As you know, enterprise IT conversation over the past year have often centered upon the open-source Kubernetes container orchestration system. In fact, Kubernetes has emerged as the key technology -- and even primary platform -- of cloud migrations for a wide variety of organizations. Kubernetes is critical to forward-looking enterprises that continue to push their IT infrastructures toward maximum functionality, scalability, and flexibility.
Today's workforce is trading their cubicles and corporate desktops in favor of an any-location, any-device work style. And as digital natives make up more and more of the modern workforce, the appetite for user-friendly, cloud-based services grows. The center of work is shifting to the user and to the cloud. But managing a proliferation of SaaS, web, and mobile apps running on any number of clouds and devices is unwieldy and increases security risks. Steve Wilson, Citrix Vice President of Cloud,...
When Enterprises started adopting Hadoop-based Big Data environments over the last ten years, they were mainly on-premise deployments. Organizations would spin up and manage large Hadoop clusters, where they would funnel exabytes or petabytes of unstructured data.However, over the last few years the economics of maintaining this enormous infrastructure compared with the elastic scalability of viable cloud options has changed this equation. The growth of cloud storage, cloud-managed big data e...
Artificial intelligence, machine learning, neural networks. We're in the midst of a wave of excitement around AI such as hasn't been seen for a few decades. But those previous periods of inflated expectations led to troughs of disappointment. This time is (mostly) different. Applications of AI such as predictive analytics are already decreasing costs and improving reliability of industrial machinery. Pattern recognition can equal or exceed the ability of human experts in some domains. It's devel...