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Stream/Area:
-
Subject:
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Paper ID:
IJSREM64542
Volume:
10 |
6 |
Jun 2026
Pages:
1-7
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.

Department of Business Management, SBJITMR, Nagpur
S.B. Jain Institute of Technology, Management and Research, Nagpur

Department of Business Management, SBJITMR, Nagpur
S.B. Jain Institute of Technology, Management and Research, Nagpur
Non-Performing Assets (NPAs) are one of the major factors influencing the profitability and financial performance of banks. This research paper analyzes the impact of NPAs on the profitability of Punjab National Bank during the period 2018–2026. The study is based on secondary data collected from the bank’s annual reports and financial statements. Key financial indicators such as Net Profit, Equity, Total Assets, Net NPA Ratio, Return on Assets (ROA) and Return on Equity (ROE) have been used to evaluate the relationship between asset quality and profitability. The findings reveal that higher NPA levels during the initial years adversely affected the bank’s profitability, resulting in negative returns and financial losses. However, a consistent reduction in the Net NPA ratio in subsequent years led to a significant improvement in net profit, ROA, and ROE. The study highlights an inverse relationship between NPAs and profitability, indicating that efficient credit risk management and recovery practices contribute positively to financial performance. The research concludes that effective management of NPAs is essential for improving the profitability, operational efficiency, and financial stability of banks.
KEYWORDS
The empirical evaluation of Punjab National Bank (PNB) from 2018 to 2026 confirms that asset quality is the single most critical determinant of the institution's financial performance. Over the investigated nine-year timeline, the bank underwent a major structural turnaround, transitioning from a severe net loss of ₹12,113.4 crore in 2018 to a resilient, high-volume profit phase stabilizing above ₹18,300 crore by 2026. The statistical data demonstrates that this earnings recovery was directly achieved by clearing toxic legacy debt and optimizing credit risk frameworks. The correlation analysis establishes an incredibly strong, inverse relationship between asset degradation and profitability metrics, yielding coefficients of –0.918 with Return on Assets (ROA) and –0.914 with Return on Equity (ROE). This tight negative correlation proves that any accumulation of non-performing assets acts as an immediate drain on operational earnings, systematically choking off interest income channels while forcing mandatory capital allocations toward provisioning. Furthermore, the regression models validate the overwhelming impact of credit risk, showing that Net NPAs alone explain 84.24% of the variance in ROA (R2= 0.8424) and 83.60% of the variance in ROE (R2= 0.8360). Both models demonstrate high statistical significance (p < 0.001), confirming that asset quality is a dominant, reliable predictor of the bank's fiscal health rather than a product of random market fluctuations. The empirical evidence also reveals that equity returns are exceptionally vulnerable to credit defaults; the Net NPA beta coefficient for ROE is remarkably steep at –3.7569, compared to –0.2257 for ROA. This indicates that while a 1% increase in bad loans reduces asset efficiency marginally, it aggressively erodes shareholder value by 3.76%. Ultimately, the explosive profit growth observed in the 2024–2026 fiscal window mathematically proves that reducing the Net NPA load directly unblocks trapped capital reserves, allowing core banking operations to convert efficiently into sustainable bottom-line revenue.
[1] Banerjee, A., & Mitra, S. (2018). Operational challenges and liquidity management in scheduled commercial banks: The roadblock of escalating non-performing assets. Journal of Banking and Financial Services, 12(2), 88–101. [2] Bhandari, R. (2016). An evaluation of credit expansion and asset quality on the financial performance of Punjab National Bank. Indian Journal of Banking Studies, 5(3), 45–59. [3] Bhasin, N. (2019). Banking Developments in India: From Nationalization to Liberalization. New Century Publications. [4] Jain P & Sharma R. (2022). Fund deployment strategies and advanced risk evaluation frameworks in Indian public sector banking. Journal of Financial Risk Management, 14(1), 112–126. [5] Kawadkar, H. (2024). Navigating the irrational: A review of behavioural finance theory and practice. International Journal of Commerce and Management Studies, 9(1), 29-34. [6] Kumar Das, S., & Utpal, K. (2021). Macroeconomic determinants and asset quality: A Random Effects econometric approach to Indian commercial banks. Empirical Economics and Banking Review, 9(4), 210–225. [7] Prakash, O. (2014). Comparative analysis of asset quality in public and private sector banks: Policies for proactive NPA prevention. International Journal of Commerce and Management, 22(3), 34–48. [8] Kawadkar, H., & Langde, M. Y. A study on leverage analysis and its impact on profitability with reference to selected power sector companies in India. [9] Punjab National Bank. (2026). Annual Reports and Financial Results (FY 2018-19 to FY 2025-26). PNB Investor Relations. [10] Reserve Bank of India. (2025). Report on Trend and Progress of Banking in India (2018–2025). RBI Bulletin.
Publication Date
6/5/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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