The present analyses, based on a case study show the influence on the financial balance of the loans from shareholders , taking into account the accounting treatment of loans. We do not know that the Romanian economic literature to be treated that aspect. That is why we consider the study as being useful to managers, members, shareholders, and all business partners to form the economic decisions.
The purpose of this financial analysis is to examine critically the accounting and financial information ofered by the companies to assess their performance and their financial position (Laurence Le Gallo). The financial position of firms is assessed based on the financial structure and financial balance. In a same time the financial balance is approached from a static perspective based on the: net situation, working capital, necessary of working capital, net treasury. The present analyses deals with financial balance in a static manner based on these four indicators listed.
The sources of data for the analysis of financial balance are offered mainly in the financial statement. This document has been used data from a company that is engaged in the carriage of goods. Analysis was made over a period of five years.
The present analysis showed that financial balance is influenced by the way that the shareholders loans to the company are treated by including them in long-term debt or short-term. Reprocessing of loans and their inclusion in long-term debt, changes the perspective on financial balance showing that on the long-term company has a stable balance.
These aspects require preparation of loan agreements with associates as loans work in reality. The contracts must to highlight the progress of the loan on the long term and not to be extended or remodeled the short-term contracts.
Of course, there are always solutions to improve the financial balance and in this way the financial position and the performance of the company. However, the proposed solutions must be based on a proper perspective on the financial balance offered by the suitable treatment of the raw data