Sales per capita (per number of employees) of the 2000 Forbes Magazine top publicly-traded companies (G-2000) and some of the world’s leading state-owned enterprises (SOE) are statistically analyzed. This hybrid or combined cumulative probability sales distribution per capita exhibits a two-class structure: a Pareto power law in the higher part and exponential in the lower part resembling a Boltzmann–Gibbs distribution, where money is conserved in economic trade like energy is conserved in elastic collisions. This global per capita sales two-class distribution is qualitatively similar to income and wealth distributions in many countries around the world.
Sales per capita (per number of employees) of the two thousand Forbes Magazine top publicly-traded companies (G-2000) for years 2015, 2020 and 2021 are statistically analyzed. Employing an econophysical model, the sales distributions per capita for the three years exhibit a two-class structure: a Pareto power law in the higher part and exponential in the lower part resembling a Boltzmann-Gibbs distribution. This distribution is consistent with income distributions around the world as if a fraction of a firms' wealth goes to its employees in the form of wages and salaries. We highlight some changes in sales between 2020 and 2021 on selected industries that had the biggest negative and positive impacts partially due to the COVID-19 pandemic.
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