The study aimed to identify the characteristics of the digitalisation of accounting and tax processes in agricultural enterprises, whilst assessing its impact on financial performance. The study was based on a systematic approach, as well as generalisation, descriptive-analytical, structural-logical and statistical methods to examine enterprise information systems and digital tax administration services. The results of the study showed that the level of digitalisation of tax administration exceeds 98% for electronic filing, and the volume of electronic document flow has grown from 34.5 million documents in 2022 to over 82 million in 2024. In the electronic value-added tax administration system in 2024, tax invoices totalling approximately UAH 2,744 billion were processed, of which around UAH 54 billion (approximately 1.97%) were initially blocked, whereas, following unblocking procedures, the actual amount of blocked value-added tax stood at around UAH 14 billion, corresponding to approximately 0.5% of the total amount. An analysis of MHP’s operations revealed a rise in revenue from USD 1,647 to USD 2,635 million (+60%) and capital expenditure from USD 92 to USD 210 million (+128%) in 2021-2025, alongside a reduction in net debt from USD 1,164 to USD 900 million. Kernel has achieved a reduction in net debt from USD 836 million to USD 143 million (-83%), as well as the automation of processing up to 240,000 electronic consignment notes per season and a reduction in document verification time by 80%. Areas for improvement include the integration of accounting systems with tax services, the use of cloud technologies and analytical tools, and the automation of data processing to enhance data consistency and accelerate accounting processes. The practical significance of the study is determined by the possibility of its results being used by agricultural enterprises to optimise accounting and tax processes, improve the efficiency of financial flow management and reduce costs
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Андрій ІВАНЕНКО
UKRAINIAN BLACK SEA REGION AGRARIAN SCIENCE
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Андрій ІВАНЕНКО (Mon,) studied this question.
www.synapsesocial.com/papers/69fd7f65bfa21ec5bbf07dc4 — DOI: https://doi.org/10.56407/bs.agrarian/1.2026.102
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