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All Journal Journal of Governance, Taxation, and Auditing
BRILLIANT, Shelly
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Economics, Econometrics & Finance

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The Effect of Return on Assets and Earnings Per Share on the Stock Price of PT Unilever Indonesia, TBK for the Period 2014-2022 SUHARTINI, Titin; HIMMY’AZZ, Istajib Kulla; BRILLIANT, Shelly; SHODIQ, Muhammad Zacky Syauqy Ibnu; TYAS, Stephanie Dwi Wahyuning
Journal of Governance, Taxation and Auditing Vol. 3 No. 4 (2025): Journal of Governance, Taxation and Auditing (April - June 2025)
Publisher : PT Keberlanjutan Strategis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38142/jogta.v4i1.1531

Abstract

The stock price of PT Unilever Indonesia, Tbk fluctuated from 2014 to 2022. The stock price fluctuation of PT Unilever Indonesia, Tbk is thought to be influenced by profitability ratios, namely Return On Assets and Earnings Per Share. This study aims to determine the effect of Return On Assets (ROA) and Earnings Per Share (EPS) on the stock price of PT Unilever Indonesia, Tbk. The data used are secondary data, namely, financial reports. The population used is the financial statements of PT Unilever Indonesia, Tbk, and the sampling method uses purposive sampling. The analysis techniques used are descriptive statistical tests, classical assumption tests (normality tests, multicollinearity tests, heteroscedasticity tests, autocorrelation tests), correlation tests, coefficient of determination tests, and hypothesis tests using Statistical Product and Service Solutions (SPSS) version 18 with a significance level of 5%. The results of the hypothesis test show that partially, ROA has no significant effect on Stock Prices, and EPS has a significant effect on Stock Prices. While simultaneously, ROA and EPS have a significant effect on Stock Prices.
Financial Distress Analysis Using The Springate and Altman Z-Score Methods in Manufacturing Companies Listed on The Indonesia Stock Exchange Tyas, Stephanie Dwi Wahyuning; Brilliant, Shelly; Suhartini, Titin; Raharjo, Muhammad Fajar; Shodiq, Muhammad Zacky Syauqy Ibnu
Journal of Governance, Taxation and Auditing Vol. 4 No. 3 (2026): Journal of Governance, Taxation and Auditing (January - March 2026)
Publisher : PT Keberlanjutan Strategis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38142/jogta.v4i3.1800

Abstract

This study analyzes the ability of the Springate and Altman Z-Score methods in predicting financial distress in manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the period 2018- 2022. Although the Indonesian capital market shows positive growth, external challenges such as global economic fluctuations and geopolitical pressures (The Perfect Storm) emphasize the importance of early detection of financial distress to prevent the risk of bankruptcy. This study uses an associative quantitative approach. The research sample consists of 75 financial reports from 15 manufacturing companies, selected through a purposive sampling technique over five years of observation. Data analysis involves descriptive statistics, normality tests, and hypothesis testing (F-Test and t-Test) using SPSS 23.0. The results of the hypothesis testing indicate that both the Springate and Altman Z-Score methods simultaneously and partially have a positive and significant effect in predicting financial distress in manufacturing companies on the IDX. However, based on the accuracy analysis (R-Square), the Springate model (S-Score) is proven to be superior with an accuracy level of 73% (or 73.7%), which is categorized as having very strong closeness. Meanwhile, the Altman Z-Score model had an accuracy rate of 42.3%, categorized as having a strong correlation. The superior accuracy of the Springate model is supported by the use of the Earnings Before Taxes to Current Liabilities (EBTCL) ratio, which is considered more representative. This study concluded that the Springate method was the most accurate model in predicting financial distress in manufacturing companies on the Indonesian Stock Exchange (IDX).
Co-Authors Istajib Kulla Himmy’azz Raharjo, Muhammad Fajar SHODIQ, Muhammad Zacky Syauqy Ibnu Titin Suhartini, Titin TYAS, Stephanie Dwi Wahyuning