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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM66453
Volume:
10 |
7 |
Jul 2026
Pages:
1-15
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Associate Professor,School of Management and Commerce,
Sapthagiri NPS University

II year MBA,School of Management and Commerce,
Sapthagiri NPS University

II year MBA ,School of Management and Commerce,
Sapthagiri NPS University

School of Management and Commerce,
Sapthagiri NPS University
This study examines the financial factors influencing the profitability of Indian steel companies listed on the BSE from 2014 to 2024. It employs a dual analytical approach supportive and empirical using panel data methods such as pooled OLS, fixed effects, and random effects models to assess how internal financial variables like firm size, liquidity, leverage, efficiency, and working capital affect profitability. Data were drawn from financial reports of ten major Indian steel firms sourced from Screener.in and Moneycontrol. The findings reveal a consistent association between EPS and ROE across all analytical techniques. The Hausman test confirmed the fixed effects model as the most appropriate due to its ability to account for firm-specific characteristics. Results further indicate that firm size and operational efficiency significantly enhance profitability, whereas the effects of leverage and working capital vary depending on the model applied. These insights are valuable for managers, investors, and policymakers aiming to improve financial outcomes and optimize resource use in India's capital-intensive steel sector.
KEYWORDS
The objective of the research was to explore the internal financial determinants that influence the profitability of iron and steel companies listed on the Indian stock exchange in the period from 2014 to 2024. By utilizing panel data analysis, the study focused on the performance of 10 prominent iron and steel firms listed on the BSE, and evaluated the impacts of various indicators on profitability such as firm size, working capital requirement, company efficiency, liquidity and leverage, as measured by EPS and ROE. The study showed that EPS exhibited a strong and statistically significant positive effect on ROE in all tested models. The Fixed Effects Model (FEM) was chosen as the most suitable out of all models tested since the Hausman test showed the importance of company-specific features for the profitability of companies. The usage of descriptive statistics and correlation analysis indicated high variability of profitability across different firms and that profitability measured in terms of ROE is positively associated with EPS. The analysis of autocorrelation and normality illustrates that the behavior of ROE can be described as steady and normal while EPS shows larger variations than ROE being slightly deviated from the normal distribution which points to the differences in risk-return profiles of firms. Notwithstanding the presence of heteroskedasticity, the results of the study reveal the presence of positive contributions of firm efficiency and size to profitability, although the impact of leverage and working capital differs depending on the model and characteristics of the firm. To sum up, the study concludes that EPS, firm efficiency, and firm size are the key internal factors defining profitability in the iron and steel sector in India. These results help corporate managers and investors improving the financial performance of firms in the industry.
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Publication Date
8/1/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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