A company’s success and survival depend on its financial viability, which is primarily determined by its strong key financial ratios. When these ratios fall below the critical levels, the company’s long-term survival is threatened indicating the onset of financial distress (FD). In this context the FD prediction models can act as an early warning system, enabling corporate managers to intervene mid-way and take corrective action. This study focuses on Indian-listed companies that filed under the Insolvency and Bankruptcy Code (IBC) 2016, between the years 2020 and 2023. Out of the 200 listed companies that applied for bankruptcy, 40 companies were selected for the study that showed either the status as “Resolution plan” or “withdrawal or Rejected” as per the National Company Law Tribunal (NCLT) order. To analyze the long-term survival prospects of these companies, the study employs Altman’s Z-score models—the initial Z-score model for publicly traded companies and the EMZ’ score that is modeled for emerging markets like India. Both the models were calculated along with Z-score probabilities to gauge the likelihood of financial distress. Additionally, the Beneish M-Score was calculated to validate the financial data. The results from the Z-score models indicate that several companies showed declining financial stability during the study period with some on the verge of bankruptcy, while the M-score revealed potential financial manipulation in certain cases.