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Paper ID:IJSREM56374

Financial Distress and Financial Sustainability in Indian Commercial Banks: A descriptive Review of Gross Non-Performing Assets (GNPA) and Return on Assets (ROA) as major determinants

Stream/Area:

-

Subject:

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Paper ID:

IJSREM56374

Volume:

10 |

2 |

Feb 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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.

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Authors

PT

Pragya Tripathi

MBA

Nehru Gram Bharati

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RR

Rohit Ramesh

MBA

Nehru Gram Bharati

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Abstract

Sustainability of the Indian banking sector. Among the key indicators of financial health, Gross Non-Performing Assets (GNPA) and Return on Assets (ROA) play a crucial role in assessing the financial performance and long-term sustainability of commercial banks. This descriptive review examines the relationship between GNPA and ROA to understand their influence on the financial sustainability of Indian commercial banks. The study is based on secondary data collected from published annual reports, Reserve Bank of India (RBI) publications, and relevant research articles. It reviews the trends in GNPA and ROA across Indian commercial banks and highlights how rising non-performing assets adversely affect profitability, operational efficiency, and financial stability. The findings indicate that higher GNPA levels reduce banks' earnings by increasing provisioning requirements, thereby lowering ROA and weakening financial sustainability. Conversely, banks maintaining lower GNPA and higher ROA demonstrate stronger financial resilience and sustainable growth. The review emphasizes the importance of effective credit risk management, timely recovery mechanisms, prudent lending practices, and regulatory oversight in improving asset quality and profitability. The study concludes that GNPA and ROA are significant determinants of financial distress and financial sustainability in Indian commercial banks and provides insights for policymakers, regulators, and banking institutions to strengthen the overall health of the banking sector.

KEYWORDS

Financial Distress Financial Sustainability Gross Non-Performing Assets (GNPA) Return on Assets (ROA) Indian Commercial Banks Profitability Asset Quality Banking Sector.

Cite This Article

Pragya Tripathi, Rohit Ramesh, "Financial Distress and Financial Sustainability in Indian Commercial Banks: A descriptive Review of Gross Non-Performing Assets (GNPA) and Return on Assets (ROA) as major determinants," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 2, pp. 1-7, Feb 2026.

Full Article/Conclusion

This descriptive review highlights that Gross Non-Performing Assets (GNPA) and Return on Assets (ROA) are the two most influential determinants of financial distress and financial sustainability in Indian commercial banks. The reviewed literature consistently demonstrates that rising GNPA levels adversely affect banks by increasing credit risk, provisioning requirements, and operational costs, thereby reducing profitability and weakening overall financial performance. In contrast, a higher ROA reflects efficient asset utilization, sound managerial practices, and stronger profitability, making it an important indicator of long-term financial sustainability. The review further reveals that financial sustainability depends not only on profitability but also on a combination of factors including capital adequacy, liquidity management, asset quality, effective risk management, and a supportive macroeconomic and regulatory environment. Banks that maintain lower GNPA levels, higher ROA, adequate capital buffers, and efficient liquidity management are better positioned to withstand economic uncertainties and sustain long-term growth. Regulatory initiatives such as the Reserve Bank of India's Asset Quality Review (AQR), the Insolvency and Bankruptcy Code (IBC), and Prompt Corrective Action (PCA) framework have contributed significantly to improving asset quality and strengthening the resilience of the Indian banking sector. The literature also indicates that prudent lending practices, robust credit appraisal systems, continuous monitoring of borrowers, timely loan recovery mechanisms, and strong corporate governance are essential for reducing NPAs and improving financial performance. Moreover, maintaining adequate capital and effective liquidity management enables banks to absorb unexpected losses while ensuring operational continuity and depositor confidence. These factors collectively enhance profitability, improve ROA, and promote sustainable banking operations. The study concludes that the long-term sustainability of Indian commercial banks depends on achieving an appropriate balance between asset quality and profitability. Effective management of GNPA, together with continuous improvement in ROA, should remain the primary strategic objective for bank management and policymakers. Strengthening credit risk management, improving operational efficiency, adopting advanced risk assessment practices, and ensuring strict regulatory compliance will not only minimize financial distress but also enhance the resilience, competitiveness, and sustainable growth of the Indian banking sector in the evolving financial environment.

References

1.                Brito, S., Zahariev, A., & Li, Z. (2024). Energy-efficient scheduling for cloud-edge systems with renewable energy integration. Journal of Systems Architecture, 144, 102992. 2.                Dubey, K., Sharma, S. C., & Nasr, A. A. (2020). A simulated annealing-based energy-efficient VM placement policy in cloud computing. In 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) (pp. 1–5). IEEE. https://doi.org/10.1109/ic-ETITE47903.2020.119 3.                Esfandiarpoor, S., Pahlavan, A., & Goudarzi, M. (2015). Structure-aware online machine consolidation for datacenter energy improvement in cloud computing. Computers & Electrical Engineering, 42, 74–89. 4.                Gaikwad, A. D., Singh, K. R., Kamble, S. D., & Raghuwanshi, M. M. (2021). A comparative inquiry of energy and task-efficient load balancing algorithms in cloud computing. Journal of Physics: Conference Series, 1913(1), Article 012105. https://doi.org/10.1088/1742-6596/1913/1/012105 5.                Gartner. (2011). Forecast: IT services, 2011–2017. Gartner Research. 6.                Gholipour, N., Arianyan, E., & Buyya, R. (2020). A novel energy-aware resource management technique using joint VM and container consolidation tactics for green computing in cloud data centers. Simulation Modelling Practice and Theory, 104, 102127. 7.                Gholipour, N., Shoeibi, N., & Arianyan, E. (2021). An energy-aware dynamic resource management technique using deep Q-learning algorithm and joint VM and container consolidation for green computing in cloud data centers. In Distributed Computing and Artificial Intelligence: Special Sessions, 17th International Conference (pp. 227–233). Springer. 8.                Gill, S. S., & Buyya, R. (2019). A taxonomy and future directions for sustainable cloud computing. ACM Computing Surveys, 51(5), 1–33. 9.                Gupta, A., et al. (2016). Evaluating and improving performance and scheduling of HPC applications in cloud computing. IEEE Transactions on Cloud Computing, 4(3), 307–321. 10.             Guitart, J. (2016). Toward sustainable data centers. Springer.

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Publication Date

2/27/2026

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