ANALISIS FINANCIAL DISTRESS DENGAN METODE ALTMAN Z-SCORE PADA PERUSAHAAN SEKTOR PROPERTY DAN REAL ESTATE YANG TERDAFTAR DI BURSA EFEK INDONESIA (Periode 2020-2024)

Kusuma, Nyo Tersa Dofora (2026) ANALISIS FINANCIAL DISTRESS DENGAN METODE ALTMAN Z-SCORE PADA PERUSAHAAN SEKTOR PROPERTY DAN REAL ESTATE YANG TERDAFTAR DI BURSA EFEK INDONESIA (Periode 2020-2024). [Tugas Akhir/Skripsi]

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Abstract

Financial Distress Analysis is an analysis that can help companies detect the possibility of bankruptcy caused by financial problems. Several methods that can be used to detect Financial Distress are the Altman Z-Score Method, the Springate Method, and the Zmijewski Method. This study aims to determine the condition of companies in the property and real estate sector listed on the Indonesia Stock Exchange for the period 2020-2024, whether these companies are experiencing financial distress that could lead to bankruptcy or not, using one of the bankruptcy prediction models, namely the Altman Z-Score Method. The type of research used is qualitative descriptive analysis with quantitative data on 10 companies in the property and real estate sector. The data source used is secondary data in the form of company financial reports downloaded from the website www.idx.co.id. The results of this study indicate that the financial distress prediction results using the Altman Z-Score model for 10 companies in the property and real estate sector for the 2020-2024 period generally show that there are 2 companies in the grey zone category, which are ASRI and DILD, while the other 8 companies are in a non-financial distress condition, which are PWON, APLN, BAPA, LPKR, CTRA, BSDE, BCIP, and PLIN.

Item Type:	Tugas Akhir/Skripsi
Uncontrolled Keywords:	Financial Distress, Altman Z-Score, Bankruptcy
Subjects:	H Social Sciences > HC Economic History and Conditions H Social Sciences > HJ Public Finance
Divisions:	Faculty of Economic and Business > Accounting Study Program
Depositing User:	Ms Nyo Tersa Dofora Kusuma
Date Deposited:	15 Apr 2026 06:36
Last Modified:	15 Apr 2026 06:36
URI:	http://erepository.uwks.ac.id/id/eprint/22300

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