This research study examined the specific categories of IT control deficiencies and their related effects on financial reporting. The approach to this study was considered non-experimental, an approach sometimes called descriptive. Descriptive statistics are used to describe the basic features of the data in a study, providing simple summaries about the sample and the measures. The population for this study was composed of the yearly management and audit reports that are required of public companies to file with the Securities and Exchange Commission (SEC). The population data was acquired from Audit Analytics, a premium public company intelligence service. The findings of this particular research study indicated that the specific categories of IT control deficiencies did have an impact on financial reporting. The study found that IT-related deficiencies will generate accounting errors severe enough to force companies to revise their financial statements and report lower earnings or financial performance. The first limitation to this study was the data itself and its accuracy. However, this was overcome by cross checking the data with the SEC. This effort helped to prevent any errors or bias to the study. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]