Measuring The Financial Health of Companies Using Z-Score and Data Analytics

• Author(s): Shreenidhi S; Prathyusha Pasupuleti
• Paper ID: 1710676
• Page: 1985-1988
• Published Date: 11-10-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 3 September-2025

Abstract

The study examines the financial health of MCKB Construction LLP, Bengaluru, using Altman’s Z-Score model over a five-year period (2020–2024). The research applies ratio analysis combined with data analytics tools to classify the company’s solvency status into Safe, Grey, or Distress zones. Findings reveal that while the firm demonstrated robust financial health in the early years, it experienced a steady decline, entering the Grey Zone in 2023–2024. Persistent liquidity shortages, weakening asset turnover, and declining operational efficiency are key concerns. The study concludes with recommendations for strengthening working capital, restructuring debt, and adopting predictive analytics for proactive financial monitoring.

Keywords

Financial Health, Altman’s Z-Score, Bankruptcy Prediction, Data Analytics, Construction Industry, Working Capital Management, Solvency and Liquidity, Predictive Financial Models, Risk Assessment.

Citations

IRE Journals:
Shreenidhi S, Prathyusha Pasupuleti "Measuring The Financial Health of Companies Using Z-Score and Data Analytics" Iconic Research And Engineering Journals Volume 9 Issue 3 2025 Page 1985-1988 https://doi.org/10.64388/IREV9I3-1710676-4722

IEEE:
Shreenidhi S, Prathyusha Pasupuleti "Measuring The Financial Health of Companies Using Z-Score and Data Analytics" Iconic Research And Engineering Journals, 9(3) https://doi.org/10.64388/IREV9I3-1710676-4722