Subject. The article addresses the need for creating an automated model to analyze and forecast the financial condition of oil production companies. Objectives. I consider a uniquely designed automated model, provide the rationale for the choice of programming environment, describe the algorithm and the content of the computer program. Methods. The study draws on methods of logical and statistical analysis. Results. The developed prototype of the automated model of integrated analysis and forecasting of oil production enterprises’ financial status is a good basis for creating a full-fledged commercial system of oil production business. Conclusions. The new automated model provides an opportunity to analyze the financial condition of an oil production company, identify its financial difficulties, examine its financial appeal, predict its financial condition within almost any time interval, determine ways to overcome financial difficulties.
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