Profitability analysis of KINGLONG nearly 5 years
Zhang Mei, Jinghua Wen
Abstract
Open-access reader
Zhang Mei, Jinghua Wen
Abstract
Open-access reader
Profitability analysis for measuring business performance and forecast its prospects play an important role. In this paper, the research instance King Long Motor in understanding the basic theory on the basis of financial management, to take a combination of theory and data analysis methods, combined with a measure of profitability related indicators of King Long Motor company's profitability do a specific analysis to identify factors constraining the profitability of Kinglong company exists and the motivation to improve profitability, which made recommendations to improve the profitability of Kinglong car company to promote the company's future can be better and faster development. )
OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Profitability analysis for measuring business performance and forecast its prospects play an important role. In this paper, the research instance King Long Motor in understanding the basic theory on the basis of financial management, to take a combination of theory and data analysis methods, combined with a measure of profitability related indicators of King Long Motor company's profitability do a specific analysis to identify factors constraining the profitability of Kinglong company exists and the motivation to improve profitability, which made recommendations to improve the profitability of Kinglong car company to promote the company's future can be better and faster development. )
Key concepts: Profitability index, Business, Measure (data warehouse), Industrial organization, Finance, Computer science, Data mining