Dataset of companies’ profitability, government debt, financial statements' key indicators and earnings in an emerging market: Developing a panel and time series database of value-added tax rate increase impacts

财务报表 财务 业务 收益 收入 毛利润 会计 盈利能力指数 经济 利润(经济学) 审计 微观经济学
作者
Mahfoudh Hussein Mgammal,Ebrahim Mohammed Al‐Matari
出处
期刊:F1000Research [F1000 Research Ltd]
卷期号:12: 405-405
标识
DOI:10.12688/f1000research.132949.1
摘要

Company profitability is a crucial indicator that can be used for developing and sustaining trust in accounting information and, thus, inefficient capital markets. Companies with good financial statements' key indicators have a more extensive customer base and can diversify their revenue streams, making them more resilient to economic downturns. Assembling and managing taxes is a critical underpinning to protecting a country's financial intensity and developing a country's tax-system. VAT is a primary source of financial gain in developing nations, which differs from economic income in developed countries, where economic income is primarily derived from tax income. In emerging economies, the existing practice requires firms to effectively and efficiently publish annual-reports and indicators on market-websites, as users rely heavily on timely-information and need it to make decisions. However, these practices fell short of expectations, requiring more research. These variables are crucial for most accounting/economics/taxation research models and the lack of easily attainable data in well-known databases (e.g., ARGAAM; DataStream). This article is primarily a dataset for analysing taxation, performance variables, and key financial-statement indicators. The data describes the raw, combined, and filtered information at the company level, such as company profit and government debt in Saudi Arabia. It combines a firm-level panel dataset sample of company profit that its measures scaled by total assets and include: earnings before interest, taxes, decrease and amortisation, earnings before interest and taxes, earnings after taxes and earnings before taxes—moreover, the time series dataset sample of 11 financial statements' key indicators. The dataset results from 494 company-year observations (226-panel data sample and 268-time series data sample) from 2019 to 2020. Data has been collected from taxation reports, corporate annual reports, ARGAAM database, FinBox database, the Trading Economics database and the Tadawul-market website in Saudi Arabia.
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