Financial Analysis to distill the Balance Sheet, Income Statement, and Cash Flow data found in 10-K and 10-Q reports into understandable measures of Cash Management, Growth, Profitability, and Value
Google's Blogger is used to manage GCFR's content and the layout of the web site. The layout is based on the Stretch Denim template created by Darren Delaye. All content is created on an Apple MacBook running OS X 10.6 (Snow Leopard). Microsoft Excel 2011 is used for financial statement analysis and gauge score calculations. Most articles are written in Google Docs. Zoho Sheet produces the spreadsheets that are embedded in the blog articles. The speedometer graphics for the gauges are created in Excel using the approach developed by "pointy haired dilbert." We use Charlie Balch's VBA code for converting an Excel range to HTML.
This blog describes and gives examples of a particular quantitative methodology, relying on published financial statements, to analyze businesses. The methodology does not evaluate every aspect of a company's finances or operations. Other analytical techniques may be better suited to some evaluations, depending on the type of business or the goals of the analysis. The material in the blog is not investment advice, nor does it constitute an offer or solicitation to buy or sell any security. The author might have, might once have had, or might be considering a position in the companies mentioned. Specific positions will not be disclosed. While good-faith efforts are made to use reliable information sources and to provide accurate analytical results, accuracy is not guaranteed. All results are subject to change without notification. Application of the analytical methodology described in this blog requires that various assumptions be made. The assumptions are generally not disclosed and are subject to error, invalidating some or all of the analysis results. In looking for trends, recent financial data is compared to historical financial data; however, underlying differences in the assumptions or presentation of the data might degrade or invalidate these comparisons and could produce erroneous or misleading results. Readers should independently validate any information in this blog that causes them to consider making or not making a financial transaction.