Indonesia experienced two big financial crises in the past 20 years, namely Asian financial crisis in 1997-1998 and global financial crisis in 2008-2009. The aiming of this research is to determine the efficiency levels of 45 largest company performances in Indonesia after global economic crisis. The analyze tools used in this research is the Data Envelopment Analysis (DEA) models. This research used a sample of 42 companies listed in Indonesian Stock Exchanges from year of 2011 until 2016. Variables used in the study consist of four input variables (Liability, Equity, Operating Expense, and Total Employees) with two output variables (Revenue and Market Capital). Data Envelopment Analysis in this research is an application to measure the Malmquist productivity of the largest companies listed in Indonesia Stock Exchange, as well as distribute five sub-industry to find out the comparison of productivity index, efficiency level, and company's performance. The results show that there is excellent efficient in Agriculture industry, Consumer Goods industry's average efficiency is 84 percent while Finance industry has the average efficiency 59 percent because of the internal or even external factors such as, the impact of political situation on President election and the slow in responses to moderating export and household consumption.