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Penelitian ini bertujuan untuk menganalisis pengaruh Intellectual Capital dan Financial Non Distress terhadap Sustainable Growth Rate pada perusahaan sektor Consumer Non-Cyclicas yang terdaftar di Bursa Efek Indonesia periode tahun 2018-2021. Penelitian ini menggunakan metode kuantitatif. Penelitian ini menggunakan data sekunder, data yang digunakan berupa laporan keuangan perusahaan yang terdaftar di Bursa Efek Indonesia. Sampel yang digunakan dalam penelitian ini adalah perusahaan sektor Consumer Non-Cyclicals yang terdaftar di Bursa Efek Indonesia periode 2018 sampai dengan 2021. Sampel dipilih dengan menggunakan Purposive Sampling. Total perusahaan yang menjadi sampel penelitian adalah 26 perusahaan dengan periode studi 4 tahun, sehingga diperoleh 104 sampel. Teknik analisa dalam penelitian ini adalah statistika deskriptif, uji asumsi klasik dan analis regresi linier berganda. Hasil penelitian dengan menggunakan analisis regresi linier menunjukkan bahwa Human Capital Efficiency dan Structural Capital Efficiency berpengaruh positif dan signifikan terhadap Sustainable Growth Rate sedangkan Capital Employed Efficiency tidak berpengaruh positif dan signifikan terhadap Sustianable Growth Rate. Kemudian, analisis regresi linier mengungkapkan bahwa Financial Non Distress berpengaruh positif dan signifikan terhadap Sustainable Growth Rate. Keterbatasan dalam penelitian ini yaitu terdapat beberapa perusahaan Consumer Non-Cyclicals yang terdaftar di Bursa Efek Indonesia yang tidak mempublikasikan laporan keberlanjutan secara lengkap selama periode 2018-2021, sehingga dalam mengumpulkan data,  perusahaan yang dijadikan sampel jumlahnya berkurang, kemudian pengambilan keputusan pembagian dividen tidak bergantung pada laba atau rugi nya suatu perusahaan sehingga dalam kriteria pengambilan sampel tidak perlu menghilangkan data sampel perusahaan-perusahaan yang tidak membagian dividen.

Analysis of Potential Bankruptcy Using the Springate S.Score Model (Case Study) in Aviation Companies Listed on the IDX.This research aims to determine financial distress in airline companies listed on the stock exchange. The type of data used is secondary data in the form of data in the form of documents obtained from the official BEI link (www.idx.co.id). The data analysis technique used is the Springate model. .score. The research results show the springate score analysis method. This is indicated by the Springate score being less or more than the predetermined score. in airline companies during 2018-2021, (1) PT Garuda Indonesia (Tbk) (2) PT Jaya Trishindo (Tbk) (3) PT MNC energy investment (Tbk) and (4) PT AirAsia (Tbk) experienced financial distress, and in 2022 it will also experience financial distress but PT Garuda Indonesia will not experience financial distress.

The aim of this research is to determine the effect of Return on Assets (ROA) and Debt to Equity Ratio (DER) on Financial Distress in Manufacturing Companies in the Consumer Goods Industry Sector for the 2020-2022 period. The measure of Financial Distress used is the Altman Z-score. The method used in this research is descriptive research with a quantitative approach, using multiple linear regression analysis. The population of manufacturing companies in the Consumer Goods industry sector listed on the Indonesian Stock Exchange in 2020-2022 is 201 companies. The sampling technique used was purposive sampling technique, and a sample of 147 companies was obtained. The analysis used was Multiple Linear Regression with data processing tools in the form of SPSS v 19, The results of this research are that the Profitability Ratio proxied by Return on Assets (ROA) has a positive and significant effect on Financial Distress. Meanwhile, Leverage proxied by DER, according to the research results, has a negative and significant effect on Financial Distress.

This research aims to analyze the application of the Altman Z-Score method and the Springate method to predict financial distress at PT Kediri Tani Sejahtera and aims to analyze the comparison of financial distress from the Altman Z-Score and Springate methods before and during the Covid-19 pandemic for the 2018-2022 period. The type of this research is quantitative descriptive research, using the Altman Z-Score and Springate methods. The results of the research show that the Springate model is a reliable model for anticipating possible financial difficulties in businesses based on the two models that have been studied, while the Altman Z-Score model shows that corporations are in a gray state or experienced some minor financial difficulties during 2018-2022.

The air transportation business in Indonesia has experienced a rapid increase seen from the number of airlines established in Indonesia. The increasing number of airlines makes the competition increasingly fierce in building a company. So the company can experience financial difficulties that can lead to bankruptcy. One of the airline companies experiencing financial distress is PT. Indonesia Transport and Infrastructure Tbk. This research aims to analyze and predict the bankruptcy of the company PT. Indonesia Transport and Infrastructure Tbk. This research uses the Altman Z-Score and Springate methods. The data collection technique used in the research is secondary data in the form of PT's annual financial report. Indonesia Transport and Infrastructure Tbk for the 2017-2021 period.       The results of this research state that in 2017 the company experienced distress with a z-score classification of -2.2920 and Springate -0.5127. In 2018 the company experienced distress with a classification of -2.9939 and Springate -0.4330. In 2019 the company experienced distress with a z-score classification of -4.0886 and Springate -0.5974. In 2020 the company experienced distress with a z-score classification of -6.8293 and Springate -0.7776. In 2021 the company experienced distress with a z-score classification of -8.0491 and Springate -0.5821.

This study aims to determine and analyze the effect of profitability, liquidity, and capital structure on financial distress. This study uses a sampling technique that is purposive sampling. The population used in this study are manufacturing companies listed on the Indonesia Stock Exchange (IDX) for 2019-2021. The analytical method used is SPSS. The results of this study prove that profitability has a negative and significant effect on financial distress, liquidity has a negative and significant effect on financial distress, but capital structure has no effect on financial distress

This research aims to identify and analyze financial distress by using the Altman Z-Score methodology to predict the bankruptcy of property and real estate companies listed on the IDX based on the 2019 - 2021 period. The data were obtained from published financial reports by www.idx.coi.id with the period from 2019 to 2021. Research population is property and real estate companies registered with the IDX with a sample of annual financial report data for 3 consecutive years. Data collection techniques with literature study. The results of this research show that in 2019 - 2021 PT Bekasi Asri Pemula Tbk. is in the healthy zone. This is based on the Altman Z-Score criteria, if Z > 2.99 is categorized as a healthy company, if Z is between 1.81 to 2.99 it is categorized a grey area, and if Z < 1.81 it is categorized as the initial company went bankrupt.

The purpose of this study was to predict the financial difficulties of companies using the Altman Z-Score on companies in the automobile subindustry from 2019 to 2021. This research is qualitative research that uses descriptive methods. The data used in this study is secondary data, namely the financial statements of companies in the car subindustry from 2019 to 2021. The data analysis method used is the Altman Z-Score method by calculating five ratios, namely the ratio of Working Capital to Total Assets (X1), the ratio of Retained Earnings to Total Assets (X2), the ratio of EBIT to Total Assets (X3), the ratio of Market Value of Equity to Book Value of Total Liabilities (X4), and the ratio of Sales to Total Assets (X5). Research findings show that during the 2019-2021 period, there are four companies that are in safe zone conditions, namely PT. Garuda Metalindo Tbk, PT. Indospring Tbk, PT. Multi Prima Sejahtera, and PT. Congratulations. Two companies are in a gray zone condition, namely PT. Astra Internasional Tbk and PT. Astra Otoparts Tbk. Meanwhile, three companies are in crisis zone conditions, namely PT. Gajah Tunggal Tbk, PT. Indomobil Sukses Internasional Tbk, and PT. Prima Alloy Steel Universal Tbk. PT. Indo Kordsa Tbk, in 2019 was in a safe zone condition, in 2020 it was in a gray zone condition, and in 2021 it was in a safe zone condition. PT. Goodyear Indonesia Tbk, in 2019 was in a gray zone condition, in 2020 it was in a crisis zone condition, and in 2021 it was in a gray zone condition. While PT. Multistrada Arah Sarana Tbk, in 2019 was in a crisis zone condition, in 2020 it was in a gray zone condition, and in 2021 it was in a safe zone condition.

This research aims to investigate the interplay between financial distress, tax justice, sustainable and ethical leadership, and their impact on tax compliance. The study employs a theoretical framework integrating principles of financial management, justice theory, and leadership ethics. A purposive sampling technique will be utilized to select participants from diverse organizational backgrounds, including corporations and non-profit entities. Data will be collected through in-depth interviews and thematic analysis will be employed to analyze the qualitative data. Preliminary findings suggest that financial distress exacerbates tax compliance challenges, while ethical leadership and a fair tax system positively influence compliance behavior. The study contributes to understanding the complex dynamics shaping tax compliance and provides insights for policymakers and organizational leaders to enhance compliance practices.

The aim of this study is to examine factors that affect auditor switching voluntarily. Variables that consider to have effect on auditor switching are audit tenure, change of management, size of public accountant firms, and financial distress. This study used 78 observation of annual report from palm oil companies that listed in Indonesia Stock Exchange period 2018-2021. The examination was used logistic regression to analyze and SPSS 25 as programmer. Result of the study stated that simultaneous audit tenure, change of management, size of public accountant firms, and financial distress significantly affect auditor switching voluntarily. Partially, change of management is the only variable that significantly affect auditor switching voluntarily. This study can be used by companies to consider voluntary rotation of auditor and auditor to improve performance in providing audit services. The limitation of this study are the use of the independent variables and the sample that used are not common sample so there was no concrete comparison.

The purpose of this study was to examine the effect of corporate governance mechanisms on financial distress with earnings management as a moderating variable. The population used consists of companies in the infrastructure, utility, and transportation sectors listed on the Indonesia Stock Exchange in 2020 – 2022. This study uses a causality study with purposive sampling and analyzed by logistic regression. The results of this study indicate that institutional ownership has a significant negative effect on financial distress, while the audit committee has no effect on financial distress. Earnings management as a moderating variable weakens the relationship between institutional ownership and financial distress but is not significant. Meanwhile, earnings management strengthens the relationship of the audit committee to financial distress but is not significant. The implication of this research is that companies need to increase the role and function of supervision and audit committees to minimize the risk of financial distress. Although earnings management is not able to moderate institutional ownership and audit committees, companies still need to improve supervision, especially on the financial reporting process to avoid the risk of financial distress.

Financial distress is an unstable company condition, where the company has a lack of funds to pay its obligations. This instability can cause the company to lead to bankruptcy. According to Hariyani (2011) & Aprilita (2013) the success of M&A can be influenced by the state of the company in a good position. Chen, An-Shing, et al. (2018) stated that companies with low financial distress have more opportunities to achieve M&A success.

High levels of openness and responsibility in business operations constitute excellent corporate governance.  Companies can reduce the likelihood of engaging in harmful behaviors and the danger of financial difficulty by adopting a policy of strong corporate governance. The methodology of this study is quantitative descriptive research. Researchers frequently use quantitative descriptive research methodologies to describe or explain phenomena or features of a population or sample. This study discovered that financial hardship is negatively impacted by the factors leverage, credit risk, liquidity ratios, and good corporate governance. Liquidity, as determined by the Current Ratio, is inversely correlated with the severity of financial crises. Therefore, the results of this study support the claim that CR lessens financial stress.

: Financial distress is a condition where a company experiences a decline in financial condition which is usually temporary, but will develop worse if the condition is not quickly overcome and can cause the company to go bankrupt. The purpose of this study is to determine the effect of profitability, liquidity, company size and institutional ownership on financial distress. The population is property and real estate companies listed on the Indonesia Stock Exchange (IDX) in the financial statements for the 2016-2021 period. Samples were determined by purposive sampling techniques with certain criteria and obtained samples of 36 companies. This study used a multiple linear regression analysis method assisted by the SPSS Version 22 program. The results of this study show that profitability as measured by return on equity has a positive and significant effect on financial distress, liquidity as measured by curre ratio has a positive and significant effect on financial distress, while company size does not affect financial distress, institutional ownership positively affects financial distress

This study aims to investigate the intricate relationships among Return on Assets (ROA), Financial Distress, Return to Equity Ratio, and Firm Value within a specific context. Employing a case study approach, the research endeavors to discern the nuanced interplay between these financial metrics. The sampling technique involves purposive sampling to select firms representative of the studied population. Data analysis utilizes qualitative techniques, including thematic analysis and pattern recognition. The findings revealing how ROA, Financial Distress, and Return to Equity Ratio influence Firm Value within the examined context. These insights provide valuable implications for financial management strategies and decision-making processes, particularly in navigating complex financial landscapes.  

Penelitian ini menggunakan metode kuantitatif dan tujuan penelitian ini adalah: (1) Menguji aset pajak tangguhan terhadap manajemen laba akrual; (2) Menguji beban pajak tangguhan terhadap manajemen laba akrual; (3) Menguji financial distress memoderasi pengaruh aset pajak tangguhan terhadap manajemen laba akrual; (4) Menguji financial distress memoderasi pengaruh beban pajak tangguhan terhadap manajemen laba akrual. Hasil penelitian menunjukkan: (1) Aset pajak tangguhan berpengaruh positif dan signifikan terhadap manajemen laba akrual; (2) Beban pajak tangguhan berpengaruh positif dan signifikan terhadap manajemen laba akrual; (3) Financial distress memperkuat pengaruh aset pajak tangguhan terhadap manajemen laba akrual; (4) Financial distress memperkuat pengaruh beban pajak tangguhan terhadap manajemen laba akrual.

Penelitian ini bertujuan untuk melihat lebih jauh perusahaan mana yang sebenarnya masuk ke dalam financial distress dengan menggunakan metode Altman Z-Score dan metode Springate S-Score dan metode yang akurat di antara Altman (Z-Score) dan Springate (S-Score). Metode penelitian ini adalah penelitian kualitatif. Penelitian ini dilaksanakan pada perusahaan subsektor makanan dan minuman yang terdaftar di Bursa Efek Indonesia Tahun 2017-2021. Jenis data penelitian adalah data sekunder. Sumber data yang digunakan adalah financial report atau laporan keuangan tahunan perusahaan. Populasi penelitian ini sebanyak 26 perusahaan makanan dan minuman yang terdaftar di Bursa Efek Indonesia selama periode 2017-2021. Teknik pemilihan sampel menggunakan metode purposive sampling terdapat 4 sampel perusahaan. Teknik pengumpulan data yang digunakan adalah studi dokumen. Metode analisis data yang digunakan adalah analisis deskriptif. Hasil penelitian ini menunjukkan bahwa metode Altman Z-Score diketahui terdapat 1 perushaan yang mengalami kondisi distress, yaitu perusahaan FOOD dengan masing-masing nilai rata-rata 1,107 dan 1 perusahaan yang mengalami kondisi grey area, yaitu perusahaan PCAR. Metode Springate S-Score diketahui terdapat 2 perushaan yang mengalami kondisi distress, yaitu perusahaan FOOD dan PCAR. Model Springate S-Score memiliki tingkat akurasi terbesar dalam memprediksi dan menganalisis financial distress pada subsektor makanan dan minuman yang terdaftar di Bursa Efek Indonesia. Besarnya tingkat akurasi model Springate S-Score yaitu 50%.

  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.

This study aims to determine the effect of Leverage, Financial Performance, and Capital Structure on Financial Distress with Good Corporate Governance as an Intervening variable in Pharmaceutical sub-sector companies listed on the Indonesian Stock Exchange (IDX). The population in this study are pharmaceutical sub-sector companies listed on the Indonesia Stock Exchange in 2017-2021. The method of analysis in this study is path analysis using Smart PLS 2.0 software. The end result of this research is a picture of causation, so this method uses samples and hypotheses. The test results show that Leverage has a significant effect on Financial Distress, Leverage has a significant effect on Good Corporate Governance, Financial Performance has a significant effect on Financial Distress, Financial Performance has a significant effect on Good Corporate Governance, Capital Structure has a significant effect on Financial Distress, Capital Structure has a significant effect on Good Corporate Governance, Good Corporate Governance has a significant effect on Financial Distress, Leverage has a significant effect on Financial Performance, and Capital Structure has a significant effect on Financial Performance.

Financial distress is a condition whene the company are in a state financial difficultes. Every company must have an early an early warning system to detect the potential for financial distress in order to avoid bankruptcky. The Purpose of this is to analyze and provide empirical evidence regarding the effect profitability (ROA), as a moderating between liquidity (CR), leverage (DAR), sales gowth (SG), in predicting financial distress (Altman Z-Score). The population in this purpose were retail companies on the IDX for the 2016-2020 period, with a sample of 19 companies studied for 5 years so that 95 samples were obtained, using the purposive sampling method. The data used is secondary data in the form of information from the company’s financial statements. The data analysis technique used logistic regression and moderating regretion analysis (MRA). The rsults prove that the variables of liquidity, sales growth and profitability are able to predict financial distress, while leverage cannot predict financial distress, the profitability variable strengthens the influence of liquidity and sales growth in predicting financial distress but weakens leverage in predicting financial distress. The advince given is expected thet the company can increase the effectiveness and efficiency in managing assets and can increase sales so that the profit received by the company increases so that the company can avoid financial distress.