Assessing Bankruptcy Vulnerability In Manufacturing Firm Using Altman’s Z′-Score

The manufacturing sector is pivotal to economic growth but faces significant financial risks, including bankruptcy.This study evaluates the financial health of a selected manufacturing company using Altman's Z-Score model to predict bankruptcy risk.Analyzing financial data from 2018 to 2024, the study identifies periods of stability (2019, 2022, 2024) and distress (2020, 2021, 2023).Key findings reveal that liquidity management (Working Capital/Total Assets) most significantly impacts financial stability.The study underscores the need for proactive financial strategies, including debt reduction, profitability enhancement, and investor confidence-building measures, to mitigate bankruptcy risks.The Z-Score model proves effective as an early warning tool, though its limitations such as reliance on historical data highlight the need for complementary qualitative analyses.

Authors

Publication Details

Journal
International Journal of Research Publication and Reviews
Published
2025-04-01
DOI
https://doi.org/10.55248/gengpi.6.0425.1606
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing Bankruptcy Vulnerability In Manufacturing Firm Using Altman’s Z′-Score

Pooja Devi, R. Hemavathy
International Journal of Research Publication and Reviews
Financial Distress and Bankruptcy Prediction
article

Assessing Bankruptcy Vulnerability In Manufacturing Firm Using Altman’s Z′-Score

Pooja Devi, R. Hemavathy
article en

Abstract

The manufacturing sector is pivotal to economic growth but faces significant financial risks, including bankruptcy.This study evaluates the financial health of a selected manufacturing company using Altman's Z-Score model to predict bankruptcy risk.Analyzing financial data from 2018 to 2024, the study identifies periods of stability (2019, 2022, 2024) and distress (2020, 2021, 2023).Key findings reveal that liquidity management (Working Capital/Total Assets) most significantly impacts financial stability.The study underscores the need for proactive financial strategies, including debt reduction, profitability enhancement, and investor confidence-building measures, to mitigate bankruptcy risks.The Z-Score model proves effective as an early warning tool, though its limitations such as reliance on historical data highlight the need for complementary qualitative analyses.

International Journal of Research Publication and ReviewsVol. 6(4)
Openalex Percentile: Top 85%
Financial Distress and Bankruptcy Prediction
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.

Assessing Bankruptcy Vulnerability In Manufacturing Firm Using Altman’s Z′-Score — Pooja Devi, R. Hemavathy · International Journal of Research Publication and Reviews (2025) | TGRS Research Map | TGRS