Today's social phenomenon is complicated and diversified. Therefore，the analysis of the phenomenon needs the cooperation with various study fields. The corporate (financial) analysis is one of them. In the traditional corporate (financial) analysis，the center of the analysis was on the flow of capital such as the stock (property) analysis and flow (profitability) analysis. There，analyses were quite limited on the influences given to local community，wider interested person such as social influence，economic influence，cultural influence，and environmental influence. Especially，the factor of the environmental influence based on the point of view to protect natural environment was not considered. However，since environmental issues in a global scale such as global template，ozone layer destruction，or forest decrease，have been progressing，there has been needs and estimations for corporations to charge the costs to protect pollution and encourage to protect natural environment and to increase the environmental effectiveness. Considering the above，this research tries to estimate corporate growth estimation by utilizing neural network，considered as an effective model in time series analysis since it is a information processing system that incorporates human brain nerve circuits and learns through self-organization based on the input patterns (past data) with the following factors as analysis items. 1 Environmental factor required by corporations to protect environment 2 Technology factor on technology change 3 System factor on social system 4 Psychology factor on consumers' psychological trend In addition，this corporate analysis is multi-disciplined and synthetic since it is including factors of environment，technology，system，and psychology. This study is expected to develop new areas in corporate analysis.