|By Business Wire||
|June 12, 2014 04:05 PM EDT||
QAD Inc. (NASDAQ: QADA) (NASDAQ: QADB), a leading provider of enterprise business software and services for global manufacturers, today announced that its Board of Directors has declared a quarterly cash dividend of $0.072 per share of Class A common stock and $0.06 per share of Class B common stock payable on July 2, 2014 to shareholders of record at the close of business on June 25, 2014.
Continuing quarterly dividends are subject to the approval of QAD’s Board of Directors whose decision will consider factors such as the continued profitability and liquidity requirements of the company.
About QAD – The Effective Enterprise
QAD Inc. (NASDAQ: QADA) (NASDAQ: QADB) is a leading provider of enterprise software and services designed for global manufacturing companies. For more than 30 years, QAD has provided global manufacturing companies with QAD Enterprise Applications, an enterprise resource planning (ERP) system that supports operational requirements; including financials, manufacturing, demand and supply chain planning, customer management, business intelligence and business process management. QAD Enterprise Applications is offered in flexible deployment models as on-premise software, in the cloud with QAD Cloud ERP or in a blended environment. With QAD, customers and partners in the automotive, consumer products, food and beverage, high technology, industrial products and life sciences industries can better align daily operations with their strategic goals to meet their vision of becoming more Effective Enterprises.
For more information about QAD, call +1 805-566-6000, visit www.qad.com.
“QAD” is a registered trademark of QAD Inc. All other products or company names herein may be trademarks of their respective owners.
Note to Investors: This press release contains certain forward-looking statements made under the "safe harbor" provisions of the Private Securities Litigation Reform Act of 1995. Words such as “expects,” “believes,” “anticipates,” “could,” “will likely result,” “estimates,” “intends,” “may,” “projects,” “should,” and variations of these words and similar expressions are intended to identify these forward-looking statements. Forward-looking statements are based on the company’s current expectations and assumptions regarding its business, the economy and future conditions. A number of risks and uncertainties could cause actual results to differ materially from those in the forward-looking statements. These risks include, but are not limited to, evolving demand for the company's software products and products that operate with the company's products; the company's ability to sustain license and service demand; the company's ability to leverage changes in technology; the company's ability to sustain customer renewal rates at current levels; the publication of opinions by industry and financial analysts about the company, its products and technology; the reliability of estimates of transaction and integration costs and benefits; the entry of new competitors or new offerings by existing competitors and the associated announcement of new products and technological advances by them; delays in localizing the company's products for new or existing markets; the ability to recruit and retain key personnel; delays in sales as a result of lengthy sales cycles; changes in operating expenses, pricing, timing of new product releases, the method of product distribution or product mix; timely and effective integration of newly acquired businesses; general economic conditions; exchange rate fluctuations; and, the global political environment. In addition, revenue and earnings in the enterprise resource planning (ERP) software industry are subject to fluctuations. Software license revenue, in particular, is subject to variability with a significant proportion of revenue earned in the last month of each quarter. Given the high margins associated with license revenue, modest fluctuations can have a substantial impact on net income. Investors should not use any one quarter's results as a benchmark for future performance. For a more detailed description of the risk factors associated with the company and the industries in which it operates, please refer to the company's Annual Report on Form 10-K for fiscal 2014 ended January 31, 2014, and in particular, the section entitled “Risk Factors” therein, and in other periodic reports the company files with the Securities and Exchange Commission.
Sep. 27, 2016 10:45 PM EDT Reads: 3,388
Sep. 27, 2016 10:45 PM EDT Reads: 2,839
Sep. 27, 2016 10:30 PM EDT Reads: 2,174
Sep. 27, 2016 09:30 PM EDT Reads: 2,961
Sep. 27, 2016 09:30 PM EDT Reads: 479
Sep. 27, 2016 08:30 PM EDT Reads: 2,041
Sep. 27, 2016 08:15 PM EDT Reads: 2,233
Sep. 27, 2016 07:00 PM EDT Reads: 2,863
Sep. 27, 2016 06:45 PM EDT Reads: 1,820
Sep. 27, 2016 06:30 PM EDT Reads: 3,569
Sep. 27, 2016 06:30 PM EDT Reads: 2,210
Sep. 27, 2016 06:15 PM EDT Reads: 415
Sep. 27, 2016 06:00 PM EDT Reads: 1,701
Sep. 27, 2016 05:45 PM EDT Reads: 1,666
So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, provided tips on how to be successful in large scale machine learning...
Sep. 27, 2016 05:30 PM EDT Reads: 2,036