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 Journal of Statistics and Management Systems cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0014·ISSN (Print): 0972-0510

Monthly Journal: Publishes peer-reviewed aticles on theoretical and applied statistics and management systems, expoloring industrial statistics, actuarial and decision sciences.

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Open Access Research Article

Financial health and credit risk of India’s listed automobile and auto-ancillary companies : An integrated financial diagnostics framework

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pp. 921–937Vol. 29Issue 9September 2026DOI: 10.47974/JSMS-1700XML
Received:
01 May 2026
Published Online:
30 Sep 2026
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1700
Pages:
921–937

Abstract

This study assesses the financial health and credit risk of 18 NSE/BSE-listed Indian automobile firms (nine OEMs, nine ancillary suppliers) over FY2015–FY2026 using consolidated statements. Applying three-step DuPont analysis, it decomposes ROE into net margin, asset turnover, and equity multiplier, alongside Altman Z-Score, Beneish M-Score, and Piotroski F-Score for each company-year. OEMs show markedly higher average ROE (29.2%) and ROCE (26.0%) than ancillaries (11.6%, 14.6%) but carry over three times the leverage (debt-to-equity 1.15x vs. 0.33x). Ten firms fall in Altman’s “Safe” zone, eight in “Grey,” none in “Distress.” Average Piotroski F-Score is 5.6/9; Beneish M-Scores flag only Tata Motors and Bajaj Auto in specific restructuring or one-off income years, suggesting broadly clean earnings. Commercial-vehicle and tractor OEMs (Ashok Leyland, Tata Motors, M&M) exhibit weakest leverage–coverage profiles due to cyclicality, working-capital intensity, and (for Tata) JLR’s European costs. The paper offers a due-diligence workflow sequencing these tools and recommends the Ohlson O-Score as a complement to Altman for this cyclical, capital-intensive sector.

Keywords

Subject Classifications

91G4091G7062P20

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