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This study examines the inconsistency of merger and acquisition (M&A) impacts on financial ratio performance across sectors and evaluation methods. This literature review synthesizes ten empirical studies published between 2022 and 2025, focusing on financial indicators before and after M&A transactions. The findings show that the effect of M&A on financial performance varies widely depending on the industry context, time horizon, and analytical technique used. Studies in the technology and telecommunication sectors demonstrate significant improvements in profitability and operational efficiency, while research involving manufacturing and non-financial firms commonly reports insignificant changes in key ratios such as current ratio, total asset turnover, return on assets, and return on equity. Methodological differences also influence the reported outcomes, where long-term observations and comparative statistical testing tend to reveal a more pronounced financial impact compared to short-term assessment. These results indicate that M&A does not uniformly drive financial improvement and its success depends on post-integration strategy, sector dynamics, and measurement design. This study highlights the necessity of standardized evaluation frameworks to ensure more reliable performance interpretation in future M&A research.

Data from the Business Competition Supervisory Commission (KPPU) indicate that the impact of COVID-19 in 2020, 2021, and peaking in 2022 led to a significant increase in merger and acquisition (M&A) activities. This trend suggests that M&A actions have become an essential strategy for sustaining and enhancing business performance. However, not all M&A activities result in success, making it crucial to understand the factors influencing their outcomes. This study aims to examine and provide empirical evidence on the effect of board size, institutional ownership, and firm size on merger and acquisition performance. Agency theory and signaling theory are employed as the theoretical frameworks to explain the relationships between the independent and dependent variables. The population of this study consists of publicly listed companies that conducted mergers and acquisitions between 2019 and 2023. The sampling technique used was purposive sampling, resulting in a total of 150 samples. Data were collected through non-participant observation, and the data analysis technique applied was multiple linear regression. The results show that institutional ownership has a positive effect on merger and acquisition performance. In contrast, board size and firm size do not significantly influence M&A performance. These findings indicate that monitoring by institutional shareholders can enhance the effectiveness of strategic decision-making, while a larger organizational structure and firm size do not necessarily support post-merger integration success.

  Abstrak. The purpose of this research is to find out the right method to achieve optimal profit at PT. Andhika's lamp. Meanwhile, the formulation of the problem in this study is how this research method uses a descriptive quantitative approach with the ex post facto research method, namely research on data collected after the event occurred. The research was conducted by examining purchase cards and use cards in 2021. The conclusion of this study is that within a one-year period it can be concluded that the ending inventory value generated using the FIFO method is Rp. 118,840,000, while the LIFO method produces an ending inventory value of Rp. 124,440,000, the LIFO method is the opposite of the FIFO method, which produces a high cost of use so that the resulting profit is low. Based on the conclusions of the research results using the FIFO method, when the acquisition price increases using the LIFO method will be able to produce a high cost of production, this is the impact of the average trend in determining the cost of using fertilizer and ending inventory and reducing the effect of excessive price changes. high or low so that future costs will be more stable.