Authors :
N. Naveen Kumar; Dr. Umadevi Ramamoorthy
Volume/Issue :
Volume 11 - 2026, Issue 8 - August
Google Scholar :
https://tinyurl.com/3yvasrce
DOI :
https://doi.org/10.38124/ijisrt/26aug698
Note : A published paper may take 4-5
working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and
ResearchGate.
Abstract :
The financial results and long-term viability of corporate organisations are Financial leverage has a major impact.
This research looks at The impact of financial leverage on the financial performance of a few Indian listed pharmaceutical
businesses between 2021 and 2024. The annual reports and audited financial statements of particular pharmaceutical
businesses were used to gather secondary data. While Financial performance is evaluated using Return on Assets (ROA),
Return on Equity (ROE), Earnings per Share (EPS), and Return on Capital Employed (ROCE), financial leverage is
quantified using metrics like the Debt-to-Equity Ratio (DER), Debt Ratio (DR), and Interest Coverage Ratio (ICR). To look
into the connection between financial success and financial 111 leverage and to create predictive models, the gathered data
is pre processed and analysed using Pearson Correlation Analysis, Multiple Random Forest Regression, Decision Tree
Regression, Linear Regression,, and K-Means Clustering. R2 Mean Absolute 222 Error (MAE), score Mean Squared Error
(MSE), and 666 333 utilize Root Mean Squared Error (RMSE) to evaluate the prediction models' performance.
Keywords :
Financial Leverage, Financial Performance, Machine Learning, Multiple Random Forest, Decision Tree, and Linear 44 Regression Pearson Correlation, K-Means Clustering, Pharmaceutical Companies, India.
References :
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The financial results and long-term viability of corporate organisations are Financial leverage has a major impact.
This research looks at The impact of financial leverage on the financial performance of a few Indian listed pharmaceutical
businesses between 2021 and 2024. The annual reports and audited financial statements of particular pharmaceutical
businesses were used to gather secondary data. While Financial performance is evaluated using Return on Assets (ROA),
Return on Equity (ROE), Earnings per Share (EPS), and Return on Capital Employed (ROCE), financial leverage is
quantified using metrics like the Debt-to-Equity Ratio (DER), Debt Ratio (DR), and Interest Coverage Ratio (ICR). To look
into the connection between financial success and financial 111 leverage and to create predictive models, the gathered data
is pre processed and analysed using Pearson Correlation Analysis, Multiple Random Forest Regression, Decision Tree
Regression, Linear Regression,, and K-Means Clustering. R2 Mean Absolute 222 Error (MAE), score Mean Squared Error
(MSE), and 666 333 utilize Root Mean Squared Error (RMSE) to evaluate the prediction models' performance.
Keywords :
Financial Leverage, Financial Performance, Machine Learning, Multiple Random Forest, Decision Tree, and Linear 44 Regression Pearson Correlation, K-Means Clustering, Pharmaceutical Companies, India.