Transformation of the System of Indicators for Assessing the Financial Condition of Internet Service Providers

The article is devoted to the urgent problem of diagnosing the financial health of Internet service providers (ISPs) in a dynamically developing digital economy. The main attention is paid to the development of specialized analytical tools that take into account the unique industry features of the ISP industry, such as the high capital investment required for infrastructure projects, the rapid technological obsolescence, the specific nature of cash flow generation and the significant proportion of intangible assets. The purpose of the research is to develop a specialized analytical toolkit that provides accurate diagnosis of the financial condition of telecommunications companies in an environment characterized by high capital intensity, rapid technological change, and regulatory challenges. This toolkit aims to overcome the limitations of traditional methods, such as coefficient analysis and Altman models. The paper uses a systematic approach that combines comparative analysis of international practices (the USA, the EU, China) with Russian realities, quantitative methods of financial analysis (modified coefficients of liquidity, profitability). It also uses qualitative methods like stress testing. Additionally, the paper incorporates elements of predictive modeling using Big Data technologies. The main results of the study include: the development of eight key financial indicators that have been adapted to the specific needs of the industry. We have also proposed a three-tiered assessment system, which includes strategic, tactical and operational levels. Moreover, we have provided a rationale for a combined approach that integrates DCF analysis, AI analytics and regular stress testing. The results obtained are of great practical importance for financial managers in telecommunications companies. They allow for a more accurate assessment of investment risks and the sustainability of business models that optimize debt burden and investment management. Regulators can use the proposed methodology to monitor the stability of the industry. Investors can also use it to make informed decisions. The theoretical value of the work lies in the development of a new methodology for financial analysis of high-tech industries that takes into account their unique characteristics. The research conducted has shown that by adapting traditional methods to the specific needs of these industries, it is possible to improve the accuracy of financial diagnostics by 20–30%, which is critically important in a market high volatility such as the telecommunications industry.

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