Abstract : Leverage and cost behavior analysis play a crucial role in financial decision-making, particularly in capital-intensive industries like the automotive sector. This study explores the financial, operating, and combined leverage of Tata Motors Passenger Vehicle Limited, assessing their impact on profitability, financial stability, and risk management. By examining key financial metrics such as profit volume ratio, break- even point, and margin of safety, this research provides insights into the company's cost structure and its ability to sustain profitability amid market fluctuations. The study employs financial data analysis to evaluate the relationship between fixed and variable costs, examining how changes in production and sales affect operational efficiency. The results indicate that while leverage can enhance returns on equity, excessive reliance on debt increases financial risk, emphasizing the need for a balanced capital structure. Furthermore, cost behavior analysis reveals that effective management of fixed costs and pricing strategies can significantly improve the company’s financial resilience. This research highlights the importance of strategic financial planning in mitigating risks associated with high leverage and operational costs. The findings suggest that Tata Motors should focus on optimizing its cost structure, enhancing production efficiency, and maintaining a sustainable balance between debt and equity financing. These insights can help financial analysts, policymakers, and corporate managers make informed decisions to drive long-term growth and competitiveness in the automotive industry.

Keyword : Leverage Analysis, Financial Leverage, Operating Leverage, Combined Leverage, Cost Behavior Analysis, Fixed Costs, Variable Costs, Break-Even Point (BEP), Profit Volume Ratio (P/V Ratio), Margin of Safety (MOS), Capital Structure, Financial Risk Management, Cost Optimization, Profitability Analysis, Debt-to-Equity Ratio, Automotive Industry Finance, Tata Motors Financial Performance, Business Strategy, Operational Efficiency, Risk Assessment.