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This study aimed to determine and analyze the influence of financial ratios on profit changes in telecommunications companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. The financial ratios used in this study encompass four main groups: liquidity ratios, solvency ratios, activity ratios, and profitability ratios. This study employed a quantitative approach with an associative nature because it attempted to examine the relationship and influence between these financial variables on profit changes. The population in this study comprised all telecommunications companies listed on the IDX, while the sample selection was conducted using a purposive sampling technique with specific criteria, resulting in 15 eligible companies. The research data were then analyzed using panel data regression using EViews 12 software, with the best model selected being the Random Effect Model (REM). The results showed that simultaneously, liquidity, solvency, activity, and profitability ratios significantly influenced profit changes, thus concluding that the company's overall financial performance plays a significant role in determining the dynamics of profit generated. However, partial test results showed that the influence of each ratio was different. The solvency ratio has a significant negative effect on profit changes, indicating that the higher a company's debt level, the greater the risk of profit decline. Conversely, the profitability ratio has a significant positive effect, confirming that a company's ability to generate net profit is a major factor in increasing profit changes. Meanwhile, the liquidity ratio and activity ratio were not shown to have a significant effect on profit changes, indicating that short-term liquidity and operational efficiency are not sufficient to be the primary determinants in driving profit changes in the telecommunications sector.  

This study aims to determine the effect of ROE, EPS, DER, and ROA on PBV. This type of research is quantitative research. The data for this study were obtained through secondary data. The population in this study were all property companies listed on the IDX for the 2019-2022 period. The sample in this study was 44 financial reports with the sampling technique using purposive sampling. Data analysis technique using eviews. The results of the study showed that the partial t-test results of the ROE and EPS variables had an effect on PBV with a significance value of less than 0.05. The DER and ROA variables had a negative effect on PBV with a significance value greater than 0.05. The results of the simultaneous F-test of ROE, EPS, DER, and ROA on PBV had a positive and significant effect with a significance value less than 0.05.