THE FINANCIAL STATUS OF A COMPANY USING THE EVALUATION GRID OF THE MAIN INDICATORS OF THE FINANCIAL DIAGNOSTICS

The paper aims to carry out the financial diagnosis of a company of major strategicimportance for the entire energy system of Romania, based on the evaluation grid of the mainindicators of creditworthiness, structure, management, and yield. The highly competitiveenvironment forces companies to monitor their financial performance constantly. That is whycarrying out the financial diagnosis, which serves the company to evaluate its economic situation,both in the past and in the present, and to make future projections, comes to its aid to obtain animage of its financial health, at any time. The study helps researchers understand how a financialdiagnosis can be used, based on identifying indicators that best express the company's financialsituation. The results are based on a case study carried out on a company of national interest, beingcarried out for the first time in our country. This research reveals the fact that the analyzed companyis characterized by good financial stability, having a positive self-financing capacity, good financialsolvency, and adequate payment capacity, current liquidity and immediate liquidity are within normallimits, which demonstrates the efficient use of own resources, a rational attraction of additionalresources, with the possibility of additional shareholder remuneration.

Authors

Institutions

Publication Details

Journal
Review of Management and Economic Engineering
Published
2024-12-30
DOI
https://doi.org/10.71235/rmee.187
Primary Topic
Enterprise Management and Information Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE FINANCIAL STATUS OF A COMPANY USING THE EVALUATION GRID OF THE MAIN INDICATORS OF THE FINANCIAL DIAGNOSTICS

Carmen Gasparotti
Review of Management and Economic Engineering
Enterprise Management and Information Systems
article

THE FINANCIAL STATUS OF A COMPANY USING THE EVALUATION GRID OF THE MAIN INDICATORS OF THE FINANCIAL DIAGNOSTICS

Carmen Gasparotti
article en

Abstract

The paper aims to carry out the financial diagnosis of a company of major strategicimportance for the entire energy system of Romania, based on the evaluation grid of the mainindicators of creditworthiness, structure, management, and yield. The highly competitiveenvironment forces companies to monitor their financial performance constantly. That is whycarrying out the financial diagnosis, which serves the company to evaluate its economic situation,both in the past and in the present, and to make future projections, comes to its aid to obtain animage of its financial health, at any time. The study helps researchers understand how a financialdiagnosis can be used, based on identifying indicators that best express the company's financialsituation. The results are based on a case study carried out on a company of national interest, beingcarried out for the first time in our country. This research reveals the fact that the analyzed companyis characterized by good financial stability, having a positive self-financing capacity, good financialsolvency, and adequate payment capacity, current liquidity and immediate liquidity are within normallimits, which demonstrates the efficient use of own resources, a rational attraction of additionalresources, with the possibility of additional shareholder remuneration.

Review of Management and Economic EngineeringVol. 23(4)
"Dunarea de Jos" University of Galati (RO)
Openalex Percentile: Top 54%
Enterprise Management and Information Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.