Financial statement frauds involve the manipulation of information used during the preparation of financial statements which are published for the public or other related parties. The frauds are generally performed to prove firms' accomplishments such as their financial goal, sales volume, or budget forecasts. According to the Global Fraud Study report by the Association of Certified Fraud Examiners (ACFE) from 2012 to 2020, the study found that the case percentage of global financial statement fraud schemes increased over the years. Moreover, previous studies also proved the usefulness of the Beneish M-Score model in detecting earning manipulation. Thus, the study aims to identify the sign of the tendency to engage in earning manipulation using the Beneish M-Score model. The study applied quantitative analysis to examine the likelihood of earning manipulation detection in public listed companies in Malaysia. The measurement of each variable was based on past studies among 65 public listed companies under the FTSE Bursa Malaysia Top 100 Index of the Malaysia Stock Exchange from 2016 until 2020. The M-scores of the 65 companies from 2017 to 2020 suggested that 18% of the companies were involved in earning management, while the remaining 82% did not practice earning manipulation. The finding of this study is significant to the regulator or policy maker to be more stringent in dealing with the public listed companies on the Malaysian Stock Exchange, substantially can reduce financial statement fraud cases.