Kefe İlker, Evci Samet, Kefe İrem
Faculty of Economics and Administrative Sciences, Osmaniye Korkut Ata University, Osmaniye, Türkiye.
Faculty of Health Sciences, Osmaniye Korkut Ata University, Osmaniye, Türkiye.
Data Brief. 2024 Sep 19;57:110959. doi: 10.1016/j.dib.2024.110959. eCollection 2024 Dec.
In this data article, the Entropy-based TOPSIS technique is employed to assess the cash flow-based financial performance of companies. The study encompasses data from companies listed on the Borsa Istanbul (İstanbul Stock Exchange) and included in the BIST Sustainability 25 Index between 2018 and 2022. The performance metrics considered in the dataset are grouped into categories including liquidity, operational efficiency, financial structure, and profitability ratios. The dataset is derived from company balance sheets, income statements, and cash flow statements.
在本数据文章中,基于熵的TOPSIS技术被用于评估公司基于现金流的财务绩效。该研究涵盖了在伊斯坦布尔证券交易所上市并被纳入2018年至2022年期间BIST可持续发展25指数的公司的数据。数据集中考虑的绩效指标分为流动性、运营效率、财务结构和盈利能力比率等类别。该数据集源自公司资产负债表、损益表和现金流量表。