Enterprise financial analysis report generation method and system

Abstract

The invention provides an enterprise financial analysis report generation method and system, and relates to the technical field of enterprise risk control, and the method comprises the steps: obtaining company financial data, and carrying out the analysis to generate a current financial condition coefficient; client evaluation data and supplier data are obtained and analyzed to generate a future financial evaluation coefficient; obtaining company employee data, and obtaining a company stability coefficient according to the company employee data; generating a comprehensive financial condition evaluation coefficient according to the financial condition coefficient, the future financial evaluation coefficient and the company stability coefficient; and constructing a comprehensive financial condition change prediction model, obtaining a predicted comprehensive financial condition evaluation coefficient of the current quarter of the company according to the comprehensive financial condition change prediction model, and generating a financial report. According to the invention, financial health and financial development conditions of enterprises can be evaluated more comprehensively, so that more intelligent decision making is supported.

Description

Technical Field

[0001] The present invention relates to the field of enterprise risk control technology, and in particular to a method and system for generating an enterprise financial analysis report. Background Art

[0002] With the rapid development of globalization and digitalization, the market environment faced by enterprises has become more complex and dynamic. Traditional financial analysis methods usually focus on quantitative indicators such as profitability, liquidity and leverage ratio. Although these indicators can provide an overview of the company's past performance, their predictive ability and applicability are limited in the rapidly changing market.

[0003] At the same time, changes in customer reviews may indicate shifts in market demand, fluctuations in the supply chain may cause unpredictability in production costs, and employee turnover may affect the company's innovation and efficiency. None of these factors can be reflected in a single financial statement, but they are critical to the company's financial health and future development.

[0004] Therefore, developing a comprehensive analysis method that can integrate multiple external and internal data sources to help companies more accurately assess their financial status and predict future trends is not only a need for corporate strategic planning, but also an important means to enhance competitiveness. This method will provide companies with a more comprehensive and dynamic financial status analysis, allowing them to maintain agility and adaptability in an ever-changing market.

[0005] In the prior art, the publication number CN118761401A discloses a method and system for generating a financial analysis report, which obtains the financial data of the enterprise and performs data preprocessing to generate a standardized financial data set; constructs the generated standardized financial data set into a standardized data set with a graph structure; based on the standardized financial data set with a graph structure, a vector quantization variational autoencoder is used for discretization encoding to generate a discrete token sequence; the discrete token sequence is used as the input of the original large language model, and the LoRA fine-tuning technology is used to fine-tune the model to generate an optimal large language model; the original large language model and the optimal large language model are weighted and fused to generate a financial analysis report based on the new financial data. However, this prior art still has defects. Although this prior art solves the problems of low efficiency and low precision of traditional technology, the content of this prior art is still consistent with traditional financial statements, and lacks innovative analysis of the data in the statements.

[0006] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0007] The purpose of the present invention is to provide a method and system for generating an enterprise financial analysis report to solve the problems raised in the above background technology.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] A method for generating an enterprise financial analysis report, the specific steps comprising:

[0010] Step 1: Obtain the company's financial data, customer evaluation data, supplier data, and company employee data for the previous quarter;

[0011] Step 2: Obtain current financial characteristic data based on the company's financial data, and generate current financial status coefficients based on the current financial characteristic data; analyze customer evaluation data to obtain customer impact factors, analyze supplier data to obtain supplier impact factors, generate future financial evaluation coefficients based on customer impact factors and supplier impact factors, and obtain company stability coefficients based on company employee data;

[0012] Step 3: Generate a comprehensive financial status evaluation coefficient based on the financial status coefficient, future financial evaluation coefficient and company stability coefficient;

[0013] Step 4: Construct a comprehensive financial status change prediction model, obtain the company's comprehensive financial status evaluation coefficient and company measure data in previous quarters, use the comprehensive financial status evaluation coefficient and company measure data of the previous quarter as input, and the comprehensive financial status evaluation coefficient of the next quarter as a label to train the comprehensive financial status change prediction model;

[0014] Step 5: Input the comprehensive financial status assessment coefficient obtained in step 3 and the company's corporate measure data of the previous quarter into the model to obtain the company's predicted comprehensive financial status assessment coefficient for the current quarter; and generate a financial report.

[0015] Furthermore, the company's financial data includes a profit and loss statement, a balance sheet and a cash flow statement; the financial characteristic data includes net profit, net profit growth rate, debt-to-asset ratio and cash liquidity; the net profit and net profit growth rate are obtained by analyzing the profit and loss statement, the debt-to-asset ratio is obtained by analyzing the balance sheet, and the cash liquidity is obtained by analyzing the cash flow statement;

[0016] The specific formula for generating the current financial status coefficient is:

[0017]

[0018] in, is the current financial status coefficient, is the net profit, is the net profit growth rate, For cash liquidity, Is the debt-to-asset ratio.

[0019] Furthermore, the customer evaluation data includes customer satisfaction survey scores, customer complaint rates, average complaint handling time and customer repurchase rates; the customer satisfaction survey scores are obtained through questionnaires filled out by customers, and the questionnaires are divided into 1-10 points; the customer complaint rate is the ratio of the number of complaining customers to the total number of customers; the customer repurchase rate is the ratio of the number of repurchase customers to the total number of customers;

[0020] The specific formula for generating the customer impact factor is:

[0021]

[0022] in, For customer impact factors, For customer satisfaction survey scores, For customer complaint rate, is the repurchase rate, The average complaint handling time.

[0023] Furthermore, the specific logic for generating the supplier influence factor is as follows: determine the supplier dependence weight according to the supplier transaction amount, identify suppliers with a dependence weight greater than 20% as important suppliers, obtain the asset-liability ratio of important suppliers, calculate the supplier influence factor according to the asset-liability ratio and dependence weight of important suppliers, and generate the supplier dependence weight based on the specific formula:

[0024]

[0025] in, For the The dependency weight of each supplier, For the The transaction amount of each supplier, Index for suppliers, is the total number of suppliers;

[0026] The formula used to calculate the supplier impact factor is:

[0027] in, is the supplier impact factor, For the The dependency weight of important suppliers, For the The debt-to-asset ratio of a major supplier, Index of important suppliers, The number of important suppliers.

[0028] Furthermore, the specific logic for generating the future financial evaluation coefficient is: generating the future financial evaluation coefficient according to the customer influence factor and the supplier influence factor; the specific formula for generating the future financial evaluation coefficient is:

[0029]

[0030] in, is the future financial evaluation coefficient, For customer impact factors, Supplier influencing factor.

[0031] Furthermore, the employee data includes the number of new employees, the number of employees who resigned, the performance and average performance of employees who resigned;

[0032] The specific formula for generating the company's stability coefficient is:

[0033]

[0034]

[0035] in, is the company's stability coefficient, is the number of employees who resigned, is the number of new employees, is the impact evaluation function of the departing employees, For the The performance of the employees who left, is the average performance of the company's employees, The lowest performance of all departing employees. Index for resigned employees.

[0036] Furthermore, the specific logic for generating the comprehensive financial status evaluation coefficient is as follows: obtaining company employee data, and obtaining the company stability coefficient based on the company employee data; generating the comprehensive financial status evaluation coefficient based on the financial status coefficient, the future financial evaluation coefficient and the company stability coefficient;

[0037] The specific formula for generating the comprehensive financial status assessment coefficient is:

[0038]

[0039] in, is the comprehensive financial status assessment coefficient, is the company's stability coefficient, is the future financial evaluation coefficient, is the current financial status coefficient.

[0040] The present invention further provides a system for generating an enterprise financial analysis report, the system being used in the method for generating a financial report, specifically comprising:

[0041] The current analysis module is used to obtain the company's financial data, obtain the current financial characteristic data according to the company's financial data, and generate the current financial status coefficient according to the current financial characteristic data;

[0042] Multivariate analysis module, used to obtain customer evaluation data and supplier data, analyze customer evaluation data to obtain customer impact factors, analyze supplier data to obtain supplier impact factors, and generate future financial evaluation coefficients based on customer impact factors and supplier impact factors;

[0043] Comprehensive analysis module, used to obtain the company's financial data, customer evaluation data, supplier data, and company employee data for the previous quarter;

[0044] Model building module, used to obtain current financial characteristic data based on company financial data, generate current financial status coefficient based on current financial characteristic data; analyze customer evaluation data to obtain customer impact factor, analyze supplier data to obtain supplier impact factor, generate future financial evaluation coefficient based on customer impact factor and supplier impact factor, and obtain company stability coefficient based on company employee data;

[0045] The report generation module is used to add the comprehensive financial status assessment coefficient to the predicted comprehensive financial status assessment coefficient growth to obtain the predicted comprehensive financial status assessment coefficient; and generate a financial report.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] The present invention generates a comprehensive financial status assessment coefficient, which can provide management with a concise and comprehensive indicator to more comprehensively assess the financial health and financial development of the enterprise, thereby supporting more informed decision-making and strategic planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a schematic diagram of the overall method flow of the present invention.

[0049] Figure 2 It is a schematic diagram of the overall system structure of the present invention. DETAILED DESCRIPTION

[0050] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0051] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0052] Example:

[0053] See also Figure 1 , the present invention provides a technical solution:

[0054] A method for generating an enterprise financial analysis report, the specific steps comprising:

[0055] Step 1: Obtain the company's financial data, customer evaluation data, supplier data, and company employee data for the previous quarter.

[0056] The company's financial data includes a profit and loss statement, a balance sheet and a cash flow statement; the financial characteristic data includes net profit, net profit growth rate, debt-to-asset ratio and cash liquidity; the net profit and net profit growth rate are obtained by analyzing the profit and loss statement, the debt-to-asset ratio is obtained by analyzing the balance sheet, and the cash liquidity is obtained by analyzing the cash flow statement;

[0057] The customer evaluation data includes customer satisfaction survey scores, customer complaint rates, average complaint handling time and customer repurchase rates; the customer satisfaction survey scores are obtained through questionnaires filled out by customers, the questionnaires are divided into 1-10 points, and the average of all questionnaire scores is recorded as the customer satisfaction survey score; the customer complaint rate is the number of complaining customers divided by the total number of customers; the customer repurchase rate is the number of repurchase customers divided by the total number of customers;

[0058] The supplier data includes the transaction amount between the supplier and the supplier's debt-to-asset ratio.

[0059] The employee data includes the number of new employees, the number of employees who have left, the performance and average performance of employees who have left;

[0060] The specific formula for generating the current financial status coefficient is:

[0061]

[0062] in, is the current financial status coefficient, is the net profit, is the net profit growth rate, For cash liquidity, = is the debt-to-asset ratio. The current financial status coefficient is a comprehensive financial indicator that aims to evaluate the current financial health of an enterprise through a comprehensive quantitative analysis of the core financial characteristics of the enterprise. The larger the current financial status coefficient, the more stable the current financial status of the enterprise, showing stronger profitability, growth potential and liquidity, and lower asset-liability risk. Net profit directly reflects the profitability of the enterprise. The higher the net profit value, the stronger the profitability of the enterprise, which has a positive contribution to the current financial status coefficient. The net profit growth rate reflects the growth potential of the enterprise's profitability. The higher the net profit growth rate, the faster the growth rate of the enterprise's profitability, which has a positive contribution to the current financial status coefficient. In the formula, the square root of the net profit is multiplied by the net profit growth rate and squared, which amplifies the synergy between the two and highlights enterprises with both high profitability and high growth. Cash liquidity is the ratio of net cash flow to total assets of the company. Cash liquidity refers to the ability of an enterprise to obtain cash inflows through operating activities, which can usually be measured by "net cash flow from operating activities" or other cash flow indicators. The higher the cash liquidity, the more sufficient the daily operating activities of the enterprise can provide, which has a positive contribution to the current financial status coefficient. The debt-to-asset ratio is an important indicator for measuring the financial risk of an enterprise. A high debt-to-asset ratio indicates that the company has a high debt level and a greater financial risk, which has a negative contribution to the current financial status coefficient.

[0063] Step 2: Obtain current financial characteristic data based on the company's financial data, and generate current financial status coefficients based on the current financial characteristic data; analyze customer evaluation data to obtain customer impact factors, analyze supplier data to obtain supplier impact factors, generate future financial evaluation coefficients based on customer impact factors and supplier impact factors, and obtain company stability coefficients based on company employee data;

[0064] The specific formula for generating the customer impact factor is:

[0065]

[0066] in, For customer impact factors, For customer satisfaction survey scores, For customer complaint rate, is the repurchase rate, is the average complaint handling time. The customer impact factor is a comprehensive indicator used to measure the degree of influence of customers on the future financial status of an enterprise. The larger the value, the greater the degree of influence of customers on the future financial status of an enterprise. The generation of this coefficient can provide an important basis for the evaluation of the future financial status of an enterprise; customer satisfaction is a direct reflection of the service quality and customer experience of an enterprise. High satisfaction usually leads to word-of-mouth communication and customer loyalty. The customer repurchase rate refers to the ratio of customers who have repeatedly purchased the company's products or services to the total number of customers in a certain period of time. The customer repurchase rate is an important indicator for measuring customer loyalty. The long-term success of an enterprise depends largely on the repurchase behavior of old customers. The larger the value, the better the prospects of the enterprise and the relatively stable and positive financial status of the enterprise in the future; because the repurchase rate is a decimal, the square root will make the value of the repurchase rate larger. The square root is intended to amplify the role of the repurchase rate and highlight the contribution of customer loyalty to the customer impact factor. The customer complaint rate indicates the proportion of customers who complained to the total number of customers in a period of time. The larger the value, the higher the frequency of problems with the company's products, which is more unfavorable to the company's future financial development. The average complaint handling time reflects the customer's dissatisfaction with the problematic product. The larger the value, the higher the customer's dissatisfaction with the problematic product. A larger average complaint handling time and customer complaint rate are not conducive to the company's future development, leading to unstable financial conditions. Using them as the denominator means this is a negative correlation.

[0067] The specific logic for generating supplier influence factors is as follows: determine supplier dependence weights based on supplier transaction amounts, identify suppliers with dependence weights greater than 20% as important suppliers, obtain the asset-liability ratios of important suppliers, calculate supplier influence factors based on the asset-liability ratios and dependence weights of important suppliers, and generate supplier dependence weights based on the specific formula:

[0068]

[0069] in, For the The dependency weight of each supplier, For the The transaction amount of each supplier, Index for suppliers, is the total number of suppliers; the dependency weight is used to reflect the degree of dependence of the enterprise on the supplier. The larger the value, the greater the degree of dependence. The dependency weight can screen out suppliers that have an important impact on the enterprise.

[0070]

[0071] in, is the supplier impact factor, For the The dependency weight of important suppliers, For the The debt-to-asset ratio of a major supplier, Index of important suppliers, The number of important suppliers.

[0072] The supplier impact factor reflects the degree of influence of suppliers on the future financial status of the enterprise. The larger the value, the greater the negative impact of the supplier on the future financial status of the enterprise. Every important supplier has a huge impact on the financial status of the enterprise. The larger the goods it supplies, the greater the impact. The debt-to-asset ratio is an important factor in measuring the risk level of suppliers. The larger the value, the greater the probability of a crisis for the corresponding supplier, and the greater the negative impact of the supplier on the future financial status of the enterprise.

[0073] The specific logic for generating the future financial evaluation coefficient is: generating the future financial evaluation coefficient based on the customer influence factor and the supplier influence factor; the specific formula for generating the future financial evaluation coefficient is:

[0074]

[0075] in, is the future financial evaluation coefficient, For customer impact factors, The future financial evaluation coefficient reflects the overall positive trend of the company's future financial situation. The larger the value, the greater the trend. The influence of customers and suppliers on this trend is very important. The influence of customer influence factors is positive, and the influence of supplier influence factors is negative. The generation of this coefficient can provide an important basis for the analysis of financial status.

[0076] The specific formula for generating the company's stability coefficient is:

[0077]

[0078]

[0079] in, is the company's stability coefficient, is the number of employees who resigned, is the number of new employees, is the impact evaluation function of the departing employees, For the The performance of the employees who left, is the average performance of the company's employees, The lowest performance of all departing employees. It is an index of employees who have left the company. The company stability coefficient is a comprehensive indicator used to evaluate the stability of the company's workforce. The larger the value, the poorer the stability of the company's workforce, especially the loss of high-performance employees and the lack of fresh blood. Although this coefficient cannot directly reflect the company's financial situation, company stability is the basis of financial stability. If the company is not stable enough, even if the current financial situation is good, it is ultimately a castle in the air. The company's development must be sustainable, so the company's stability plays an important role in the evaluation of the overall financial situation. The number of employees who have left the company directly reflects the stability of the company's workforce. High mobility may lead to lower work efficiency and increased recruitment costs for the company, resulting in lower stability of the company. Employee turnover will have a negative impact on the company. Relatively speaking, the turnover of high-performing employees contributes more to this impact, and the higher the performance, the greater the impact. However, the degree of impact of high-performing employees and low-performing employees is different. The impact of the departure of high-performing employees on the company is much greater than that of low-performing employees. The number of new employees is an important indicator for measuring the attractiveness and recruitment ability of an enterprise. The company's average performance is used to distinguish between high-performing and low-performing employees, and to quantify the contribution of this adverse effect. The number of new employees is an important indicator for measuring the attractiveness and recruitment ability of an enterprise. Stable recruitment ability can help enterprises maintain normal staffing. The increase in the number of new employees can alleviate the vacancy problem caused by employee resignation to a certain extent and reduce the instability of the company. The increase in the number of new employees can alleviate the vacancy problem caused by employee resignation to a certain extent and reduce the instability of the company.

[0080] Step 3: Generate a comprehensive financial status evaluation coefficient based on the financial status coefficient, future financial evaluation coefficient and company stability coefficient;

[0081] The specific logic for generating the comprehensive financial status evaluation coefficient is as follows: obtaining the company's employee data, and obtaining the company's stability coefficient based on the company's employee data; generating the comprehensive financial status evaluation coefficient based on the financial status coefficient, the future financial evaluation coefficient and the company's stability coefficient;

[0082] The specific formula for generating the comprehensive financial status assessment coefficient is:

[0083]

[0084] in, is the comprehensive financial status assessment coefficient, is the company's stability coefficient, is the future financial evaluation coefficient, is the current financial status coefficient. The comprehensive financial status evaluation coefficient reflects the company's comprehensive financial status. The larger its value, the better the company's comprehensive financial status. The formula provides a comprehensive financial health evaluation method by combining the three factors of the company's current financial status, future financial prospects and employee stability. Among them, the current financial status coefficient is the company's current financial status. The larger its value, the better the company's current financial status. Relatively speaking, the better the company's comprehensive financial status will be. The future financial evaluation coefficient reflects the overall positive trend of the company's financial status in the future. The larger its value, the greater the company's overall positive trend in the future, and the better the company's comprehensive financial status will be. A company's development vision should be long-term and should not be limited to the present. It comprehensively reflects the short-term financial health and long-term financial development expectations of the company. At the same time, a stable workforce is the foundation of a company's financial performance and long-term development. The higher the company's stability coefficient, the worse the company's stability, so it is used as the denominator in the formula to express this negative correlation.

[0085] Step 4: Construct a comprehensive financial status change prediction model, obtain the company's comprehensive financial status evaluation coefficient and company measure data in previous quarters, use the comprehensive financial status evaluation coefficient and company measure data of the previous quarter as input, and the comprehensive financial status evaluation coefficient of the next quarter as a label to train the comprehensive financial status change prediction model;

[0086] The company measures data include increased research and development investment, basic salary adjustments and increased advertising expenses.

[0087] The comprehensive financial status change prediction model adopts a feedforward neural network, takes the growth amount of the comprehensive financial status assessment coefficient as a label, and uses the data set to train and optimize the comprehensive financial status change prediction model; it should be noted that the existing technology can be used to train and optimize the comprehensive financial status change prediction model with the growth amount of the comprehensive financial status assessment coefficient as a label, specifically including: input layer, hidden layer, output layer and activation function, and a root mean square error loss function is used; the input data is calculated once through the network to obtain the output result, the loss function is calculated according to the predicted value and the true value, the gradient of the loss function for each weight and bias is calculated by the chain rule, and the weights and biases of the network are updated using the gradient descent algorithm to minimize the loss function.

[0088] Step 5: Input the comprehensive financial status assessment coefficient obtained in step 3 and the company's corporate measure data of the previous quarter into the model to obtain the company's predicted comprehensive financial status assessment coefficient for the current quarter; and generate a financial report.

[0089] The financial report adds the display of the predicted comprehensive financial status assessment coefficient on the basis of the traditional financial report, which can directly show the comprehensive current financial status, and can also see the company's future financial status based on the current financial and company's employee status and related measures; the analysis is more comprehensive.

[0090] The present invention further provides a system for generating an enterprise financial analysis report, the system being used in the method for generating a financial report, specifically comprising:

[0091] The current analysis module is used to obtain the company's financial data, customer evaluation data, supplier data, and company employee data for the previous quarter;

[0092] The multivariate analysis module is used to obtain current financial characteristic data based on the company's financial data, and generate the current financial status coefficient based on the current financial characteristic data; analyze the customer evaluation data to obtain the customer impact factor, analyze the supplier data to obtain the supplier impact factor, generate the future financial evaluation coefficient based on the customer impact factor and the supplier impact factor, and obtain the company stability coefficient based on the company's employee data;

[0093] Comprehensive analysis module, used to generate comprehensive financial status evaluation coefficients based on financial status coefficients, future financial evaluation coefficients and company stability coefficients;

[0094] The model building module is used to build a comprehensive financial status change prediction model, obtain the company's comprehensive financial status evaluation coefficient and company measure data in previous quarters, use the comprehensive financial status evaluation coefficient and company measure data of the previous quarter as input, and the comprehensive financial status evaluation coefficient of the next quarter as a label to train the comprehensive financial status change prediction model;

[0095] The report generation module is used to input the comprehensive financial status evaluation coefficient obtained in step 3 and the company's corporate measure data of the previous quarter into the model to obtain the company's predicted comprehensive financial status evaluation coefficient for the current quarter; and generate a financial report.

[0096] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0097] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0098] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0099] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A method for generating an enterprise financial analysis report, characterized in that: The specific steps include: Step 1: Obtain the company's financial data, customer evaluation data, supplier data, and company employee data for the previous quarter; Step 2: Obtain current financial characteristic data based on the company's financial data, and generate current financial status coefficients based on the current financial characteristic data; analyze customer evaluation data to obtain customer impact factors, analyze supplier data to obtain supplier impact factors, generate future financial evaluation coefficients based on customer impact factors and supplier impact factors, and obtain company stability coefficients based on company employee data; Step 3: Generate a comprehensive financial status evaluation coefficient based on the financial status coefficient, future financial evaluation coefficient and company stability coefficient; Step 4: Construct a comprehensive financial status change prediction model, obtain the company's comprehensive financial status evaluation coefficient and company measure data in previous quarters, use the comprehensive financial status evaluation coefficient and company measure data of the previous quarter as input, and the comprehensive financial status evaluation coefficient of the next quarter as a label to train the comprehensive financial status change prediction model; Step 5: Input the comprehensive financial status assessment coefficient obtained in step 3 and the company's corporate measure data of the previous quarter into the model to obtain the company's predicted comprehensive financial status assessment coefficient for the current quarter and generate a financial report.

2. The method for generating a corporate financial analysis report according to claim 1, characterized in that: The company's financial data includes a profit and loss statement, a balance sheet and a cash flow statement; the financial characteristic data includes net profit, net profit growth rate, debt-to-asset ratio and cash liquidity; the net profit and net profit growth rate are obtained by analyzing the profit and loss statement, the debt-to-asset ratio is obtained by analyzing the balance sheet, and the cash liquidity is obtained by analyzing the cash flow statement; The specific formula for generating the current financial status coefficient is: in, is the current financial status coefficient, is the net profit, is the net profit growth rate, For cash liquidity, Is the debt-to-asset ratio.

3. The method for generating a corporate financial analysis report according to claim 1, characterized in that: The customer evaluation data includes customer satisfaction survey scores, customer complaint rates, average complaint handling time and customer repurchase rates; the customer satisfaction survey scores are obtained through questionnaires filled out by customers, and the questionnaires are divided into 1-10 points; the customer complaint rate is the ratio of the number of complaining customers to the total number of customers; the customer repurchase rate is the ratio of the number of repurchase customers to the total number of customers; The specific formula for generating the customer impact factor is: in, For customer impact factors, For customer satisfaction survey scores, For customer complaint rate, is the repurchase rate, The average complaint handling time.

4. The method for generating a corporate financial analysis report according to claim 1, characterized in that: The specific logic for generating supplier influence factors is as follows: determine supplier dependence weights based on supplier transaction amounts, define suppliers with dependence weights greater than 20% as important suppliers, obtain the asset-liability ratios of important suppliers, calculate supplier influence factors based on the asset-liability ratios and dependence weights of important suppliers, and generate the specific formula for supplier dependence weights as follows: in, For the The dependency weight of each supplier, For the The transaction amount of each supplier, Index for suppliers, is the total number of suppliers; The formula used to calculate the supplier impact factor is: in, is the supplier impact factor, For the The dependency weight of important suppliers, For the The debt-to-asset ratio of a major supplier, Index of important suppliers, The number of important suppliers.

5. The method for generating a corporate financial analysis report according to claim 1, characterized in that: The specific logic for generating the future financial evaluation coefficient is: generating the future financial evaluation coefficient based on the customer influence factor and the supplier influence factor; the specific formula for generating the future financial evaluation coefficient is: in, is the future financial evaluation coefficient, For customer impact factors, Supplier influencing factor.

6. The method for generating a corporate financial analysis report according to claim 1, characterized in that: The employee data includes the number of new employees, the number of employees who have left, the performance and average performance of employees who have left; The specific formula for generating the company's stability coefficient is: in, is the company's stability coefficient, is the number of employees who resigned, is the number of new employees, is the impact evaluation function of the departing employees, For the The performance of the employees who left, is the average performance of the company's employees, The lowest performance of all departing employees. Index for resigned employees.

7. The method for generating a corporate financial analysis report according to claim 1, characterized in that: The specific logic for generating the comprehensive financial status evaluation coefficient is as follows: obtaining the company's employee data, and obtaining the company's stability coefficient based on the company's employee data; generating the comprehensive financial status evaluation coefficient based on the financial status coefficient, the future financial evaluation coefficient and the company's stability coefficient; The specific formula for generating the comprehensive financial status assessment coefficient is: in, is the comprehensive financial status assessment coefficient, is the company's stability coefficient, is the future financial evaluation coefficient, is the current financial status coefficient.

8. A system for generating enterprise financial analysis reports, characterized in that: A method for generating a financial report, characterized in that: the system is used to implement the method for generating a financial report according to any one of claims 1 to 7, specifically comprising: The current analysis module is used to obtain the company's financial data, customer evaluation data, supplier data, and company employee data for the previous quarter; The multivariate analysis module is used to obtain current financial characteristic data based on the company's financial data, and generate the current financial status coefficient based on the current financial characteristic data; analyze the customer evaluation data to obtain the customer impact factor, analyze the supplier data to obtain the supplier impact factor, generate the future financial evaluation coefficient based on the customer impact factor and the supplier impact factor, and obtain the company stability coefficient based on the company's employee data; Comprehensive analysis module, used to generate comprehensive financial status evaluation coefficients based on financial status coefficients, future financial evaluation coefficients and company stability coefficients; The model building module is used to build a comprehensive financial status change prediction model, obtain the company's comprehensive financial status evaluation coefficient and company measure data in previous quarters, use the comprehensive financial status evaluation coefficient and company measure data of the previous quarter as input, and the comprehensive financial status evaluation coefficient of the next quarter as a label to train the comprehensive financial status change prediction model; The report generation module is used to input the comprehensive financial status evaluation coefficient obtained in step 3 and the company's corporate measure data of the previous quarter into the model to obtain the company's predicted comprehensive financial status evaluation coefficient for the current quarter; and generate a financial report.

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