CN110675235B - Financial data processing method and device, electronic equipment and storage medium - Google Patents
Financial data processing method and device, electronic equipment and storage medium Download PDFInfo
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- CN110675235B CN110675235B CN201910795230.4A CN201910795230A CN110675235B CN 110675235 B CN110675235 B CN 110675235B CN 201910795230 A CN201910795230 A CN 201910795230A CN 110675235 B CN110675235 B CN 110675235B
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Abstract
The embodiment of the disclosure discloses a financial data processing method and device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring revenue data and invoiced data for at least one time period; obtaining invoiced revenue data and non-invoiced revenue data for at least one time period based on the revenue data and the invoiced data for the at least one time period; acquiring at least one item of revenue tax accounting data corresponding to at least one time period based on the invoiced revenue data and the invoiced revenue data of the at least one time period, the revenue tax accounting data comprising: invoiced income tax data and non-invoiced income tax data. The method and the system can accurately determine the tax payment data of the company by utilizing the income data and the invoiced data of the time period stored in the database, and do not need the staff of the tax authority to check and confirm the mass transaction data one by one, thereby saving the cost of manpower and material resources.
Description
Technical Field
The present disclosure relates to data processing technologies, and in particular, to a financial data processing method and apparatus, an electronic device, and a storage medium.
Background
The financial staff of the internet company needs to count the monthly income amount of the company according to the monthly transaction records stored in the company database every month, and after summarizing and counting the data of applying for invoicing proposed by the user in the previous month, income declaration and tax payment are carried out on the data to the tax authority, and correspondingly, the tax authority also needs to check the tax payment type and the tax payment amount of each item of reported transaction data.
The Internet company generates massive transaction orders in the monthly sales process, the records of the order transactions are stored by a database of the company and the user information and the transaction information of each transaction are classified and summarized, and financial staff can directly obtain the user information corresponding to the income and the expense of the company in the last month, the transaction type (for example, the purchased product and the service information corresponding to the product: disposable products or member month card/quarter card/year card service and the like) and the information whether invoices have been issued from the database of the product service system. In the order transaction, a plurality of possibilities that a user requires invoicing in the current month of purchasing a product, requires invoicing in the next month of a service process, terminates the service in the using process but requires providing invoicing in the using process and the like exist, according to a right and duty confirmation system in a tax rule, tax payment amounts corresponding to each situation are different, how to quickly and accurately count the tax payment amounts under different situations is obtained, and the method is particularly important for an internet company and a tax authority.
In carrying out the present disclosure, the inventors found that: in the existing tax payment amount statistical method, after the financial staff needs to obtain data such as company income amount from a financial statement, the tax payment amount under various conditions is counted and checked one by one to obtain the tax payment amount of an appointed month, and the processing mode inevitably has artificial statistical errors, so that the risk of multi-payment of the company is caused, and the financial staff is not favorable for carrying out quick and accurate statistics on the expenditure of paying taxes for various product services of the company.
Disclosure of Invention
In view of the above, it is necessary to develop a financial data processing method for different tax payment amounts in different situations every month.
The embodiment of the disclosure provides a financial data processing method and device, electronic equipment and a storage medium.
According to an aspect of an embodiment of the present disclosure, there is provided a financial data processing method including: acquiring revenue data and invoiced data for at least one time period; obtaining invoiced revenue data and non-invoiced revenue data for at least one time period based on the revenue data and the invoiced data for the at least one time period; acquiring at least one item of revenue tax accounting data corresponding to at least one time period based on the invoiced revenue data and the invoiced revenue data of the at least one time period, the revenue tax accounting data comprising: invoiced income tax data and non-invoiced income tax data.
Optionally, in the above method embodiments of the present disclosure, after acquiring revenue data and invoiced data for at least one time period, the method further includes: obtaining attribute information of revenue data and billed data for the at least one time period, the attribute information including: and the product service type and the product service month corresponding to each item of data in the income data and the invoiced data of at least one time period.
Optionally, in each of the above method embodiments of the present disclosure, the acquiring invoiced revenue data and non-invoiced revenue data for the at least one time period based on the revenue data and the invoiced revenue data for the at least one time period includes: and determining invoiced confirmed income data and invoiced unconfirmed income data corresponding to the invoiced income data of the at least one time period and non-invoiced unconfirmed income data corresponding to the non-invoiced income data of the at least one time period based on the product service type and the product service month corresponding to each item of data in the income data and the invoiced data of the at least one time period.
Optionally, in the above method embodiments of the present disclosure, the acquiring at least one item of revenue tax accounting data corresponding to the at least one time period based on the invoiced revenue data and the invoiced revenue data of the at least one time period includes: and acquiring tax payment data of the invoiced confirmed income and tax price aggregate data of the invoiced confirmed income of at least one time period based on the invoiced confirmed income data corresponding to the invoiced income data of at least one time period.
Optionally, in the above method embodiments of the present disclosure, the acquiring at least one item of revenue tax accounting data corresponding to the at least one time period based on the invoiced revenue data and the invoiced revenue data of the at least one time period includes: and acquiring tax payment data of the invoiced unconfirmed income and tax price aggregate data of the invoiced unconfirmed income of at least one time period based on the invoiced unconfirmed income data corresponding to the invoiced income data of at least one time period.
Optionally, in the above method embodiments of the present disclosure, the acquiring at least one item of revenue tax accounting data corresponding to the at least one time period based on the invoiced revenue data and the invoiced revenue data of the at least one time period includes: and acquiring tax payment data of the invoiced confirmed income and tax price aggregate data of the invoiced confirmed income of at least one time period based on the invoiced confirmed income data corresponding to the invoiced income data of at least one time period.
Optionally, in the above method embodiments of the present disclosure, the acquiring at least one item of revenue tax accounting data corresponding to the at least one time period based on the invoiced revenue data and the invoiced revenue data of the at least one time period includes: and acquiring tax payment data of the non-invoicing unconfirmed income and tax price aggregate data of the non-invoicing unconfirmed income of the at least one time period based on the non-invoicing unconfirmed income data corresponding to the non-invoicing income data of the at least one time period.
Optionally, in each of the above method embodiments of the present disclosure, pre-receivables data is obtained based on the invoiced unconfirmed income data and the unconfirmed invoiced unconfirmed income data; obtaining pre-billed tax payment data based on the non-invoiced and non-confirmed income data and a preset tax rate; and obtaining pre-collection total data based on the pre-collection account data and the pre-collection account tax payment data.
Optionally, in each of the above method embodiments of the present disclosure, the invoiced confirmed income data and the invoiced confirmed income data of at least one time period are obtained as income confirmation data and income confirmation accumulated data of at least one time period; obtaining confirmed tax payment data, confirmed tax payment accumulated data of invoicing and confirmed tax payment accumulated data of non-invoicing for at least one time period based on the confirmed tax payment data of invoicing and the confirmed tax payment data of non-invoicing for at least one time period; and obtaining newly added invoicing income data based on the confirmed tax payment accumulated data of invoicing and the product service type in at least one time period.
Optionally, in the above method embodiments of the present disclosure, the at least one data source is obtained through a database in the service system.
According to another aspect of the embodiments of the present disclosure, there is provided a data processing apparatus including: a first acquisition module for acquiring revenue data and invoiced data for at least one time period; a second obtaining module for obtaining invoiced revenue data and non-invoiced revenue data for the at least one time period based on the revenue data and invoiced data for the at least one time period; a third obtaining module, configured to obtain at least one item of revenue tax accounting data corresponding to the at least one time period based on the invoiced revenue data and the invoiced revenue data of the at least one time period, where the revenue tax accounting data includes: invoiced income tax data and non-invoiced income tax data.
In the above apparatus embodiments of the present disclosure, after the first obtaining module, the method further includes: an attribute obtaining module, configured to obtain attribute information of the revenue data and the invoiced data for the at least one time period, where the attribute information includes: and the product service type and the product service month corresponding to each item of data in the income data and the invoiced data of at least one time period.
Optionally, in each apparatus embodiment of the present disclosure, the second obtaining module is specifically configured to: and determining invoiced confirmed income data and invoiced unconfirmed income data corresponding to the invoiced income data of the at least one time period and non-invoiced unconfirmed income data corresponding to the non-invoiced income data of the at least one time period based on the product service type and the product service month corresponding to each item of data in the income data and the invoiced data of the at least one time period.
Optionally, in each apparatus embodiment of the disclosure, the third obtaining module is specifically configured to obtain tax payment data of the invoiced confirmed income and tax price aggregate data of the invoiced confirmed income for the at least one time period based on the invoiced confirmed income data corresponding to the invoiced income data for the at least one time period.
Optionally, in each apparatus embodiment of the present disclosure, the third obtaining module is specifically configured to obtain tax payment data of invoiced unconfirmed income and tax price aggregate data of invoiced unconfirmed income for at least one time period based on invoiced unconfirmed income data corresponding to the invoiced income data for at least one time period.
Optionally, in each apparatus embodiment of the present disclosure, the third obtaining module is specifically configured to obtain tax payment data of the non-invoiced confirmed income and tax price aggregate data of the non-invoiced confirmed income for at least one time period based on the non-invoiced confirmed income data corresponding to the non-invoiced income data for at least one time period.
Optionally, in each apparatus embodiment of the present disclosure, the third obtaining module is specifically configured to obtain tax payment data of the unacknowledged invoicing income and tax price aggregate data of the unacknowledged invoicing income for at least one time period based on the unacknowledged invoicing income data corresponding to the unacknowledged invoicing income data for at least one time period.
Optionally, in each of the above apparatus embodiments of the present disclosure, the method further includes: a first obtaining module for obtaining pre-receivable account data based on the invoiced unconfirmed income data and the unconfirmed invoiced unconfirmed income data; the second obtaining module is used for obtaining pre-billed tax payment data based on the non-invoiced and unconfirmed income data and a preset tax rate; and the third obtaining module is used for obtaining pre-collection total data based on the pre-receivables data and the pre-receivables tax payment data.
Optionally, in each of the above apparatus embodiments of the present disclosure, the method further includes: a fourth obtaining module, configured to obtain revenue confirmation data and revenue confirmation accumulation data for at least one time period based on the invoiced confirmed revenue data and the invoiced confirmed revenue data for the at least one time period; a fifth obtaining module, configured to obtain the confirmed tax payment data, the confirmed tax payment accumulated data after invoicing, and the confirmed tax payment accumulated data after non-invoicing for at least one time period based on the confirmed tax payment data after invoicing and the confirmed tax payment data after non-invoicing for at least one time period; and the sixth obtaining module is used for obtaining newly added invoicing income data based on the invoicing confirmed tax payment accumulated data of the at least one time period and the product service type.
Optionally, in the above device embodiments of the present disclosure, the revenue data and the invoiced data for at least one time period are obtained through a database.
Optionally, in each of the above apparatus embodiments of the present disclosure, the at least one data source is obtained through a database in the service system.
According to a further aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium storing a computer program for executing the financial data processing method according to any one of the above embodiments of the present disclosure.
According to still another aspect of an embodiment of the present disclosure, there is provided an electronic apparatus including:
a processor;
a memory for storing the processor-executable instructions;
the processor is used for reading the executable instructions from the memory and executing the instructions to realize the financial data processing method of any one of the above embodiments.
Based on the financial data processing method and device, the electronic device and the storage medium provided by the above embodiments of the present disclosure, a financial data processing method for different tax payment amounts in different situations of each month is provided, wherein income data and invoiced data of at least one time period are acquired, invoiced income data and invoiced income data of at least one time period are acquired based on the income data and the invoiced data of at least one time period, and at least one income tax calculating data corresponding to at least one time period is acquired based on the invoiced income data and the invoiced income data of at least one time period, and the income tax calculating data includes: invoiced income tax data and non-invoiced income tax data. Therefore, the tax payment data of the company can be accurately determined by utilizing the income data and the invoiced data of the time period stored in the database, and the staff of the tax authority does not need to check and confirm the mass transaction data one by one, so that the labor and material cost is saved.
The technical solution of the present disclosure is further described in detail by the accompanying drawings and examples.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent by describing in more detail embodiments of the present disclosure with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the principles of the disclosure and not to limit the disclosure. In the drawings, like reference numbers generally represent like parts or steps.
FIG. 1 is a flow chart of one embodiment of a financial data processing method to which the present disclosure is applicable.
FIG. 2 is a flow chart of another embodiment of a financial data processing method to which the present disclosure is applicable.
FIG. 3 is a schematic diagram of an embodiment of a financial data processing apparatus to which the present disclosure is applicable.
Fig. 4 is a schematic structural diagram of another embodiment of a financial data processing device to which the present disclosure is applicable.
Fig. 5 is a block diagram of an electronic device provided in an exemplary embodiment of the present disclosure.
Detailed Description
Hereinafter, example embodiments according to the present disclosure will be described in detail with reference to the accompanying drawings. It is to be understood that the described embodiments are merely a subset of the embodiments of the present disclosure and not all embodiments of the present disclosure, with the understanding that the present disclosure is not limited to the example embodiments described herein.
It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.
It will be understood by those of skill in the art that the terms "first," "second," and the like in the embodiments of the present disclosure are used merely to distinguish one element from another, and are not intended to imply any particular technical meaning, nor is the necessary logical order between them.
It is also understood that in embodiments of the present disclosure, "a plurality" may refer to two or more and "at least one" may refer to one, two or more.
It is also to be understood that any reference to any component, data, or structure in the embodiments of the disclosure, may be generally understood as one or more, unless explicitly defined otherwise or stated otherwise.
In addition, the term "and/or" in the present disclosure is only one kind of association relationship describing an associated object, and means that three kinds of relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" in the present disclosure generally indicates that the former and latter associated objects are in an "or" relationship.
It should also be understood that the description of the various embodiments of the present disclosure emphasizes the differences between the various embodiments, and the same or similar parts may be referred to each other, so that the descriptions thereof are omitted for brevity.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
The disclosed embodiments may be applied to electronic devices such as terminal devices, computer systems, servers, etc., which are operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with electronic devices, such as terminal devices, computer systems, servers, and the like, include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, networked personal computers, minicomputer systems, mainframe computer systems, distributed cloud computing environments that include any of the above, and the like.
Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
FIG. 1 is a flowchart of a financial data processing method provided by an exemplary embodiment of the present disclosure. The embodiment can be applied to an electronic device, and as shown in fig. 1, the financial data processing method includes the following steps:
s101, income data and invoiced data of at least one time period are obtained.
The time period is a certain month of a certain year or all months in a month interval of a spanning year specified by the user, for example: the user specifies a month interval from 3 months in 2019 to 5 months in 2019, and the time periods are 3 months in 2019, 4 months in 2019 and 5 months in 2019 respectively; the revenue data for the time period is user-specified corporate revenue amount data for months of a year or months in month intervals of a year or months across month intervals of a year, such as: the specified range is three time periods from 3 months in 2019 to 5 months in 2019, and the income data of the corresponding time periods are 1 ten thousand yuan, 2 ten thousand yuan and 3 ten thousand yuan respectively; the invoicing data of the time period is income data for invoicing in each time period, if the income data of a company in 5 months in 2019 is 3 ten thousand yuan, the income of 1 ten thousand yuan is taken into invoicing in the current month, and the income data of the other 2 ten thousand yuan is taken into invoicing in the next month according to the record in the database, the invoicing data in 5 months in 2019 is 1 ten thousand yuan, and the invoicing data in 6 months in 2019 is 2 ten thousand yuan.
And S102, acquiring invoiced income data and invoiced income data of at least one time period based on the income data and the invoiced data of at least one time period.
S103, acquiring at least one item of income tax accounting data corresponding to at least one time period based on the invoiced income data and the invoiced income data of at least one time period.
The revenue tax accounting data in embodiments of the disclosure may include: invoiced income tax data and non-invoiced income tax data.
The invoiced income tax data of each time period is a tax amount corresponding to the invoiced income data of a designated month and a month interval, the invoiced income tax data of each time period is a tax amount corresponding to the invoiced income data of the designated month or the designated month interval, for example, the income data of a company in 2019 and 8 months is 120 ten thousand yuan, the invoiced income data is 40 ten thousand yuan, the invoiced income data is 80 ten thousand yuan, under the condition that the tax rate is 6%, 2.4 ten thousand yuan of invoiced income data in 2019 and 4.8 ten thousand yuan of invoiced income tax data in 2019 and 8.8 ten thousand of invoiced income tax data can be obtained.
Based on the financial data processing method provided by the above embodiments of the present disclosure, a financial data processing method for different tax payment amounts per month is provided, in which revenue data and invoiced data of at least one time period are acquired, the time period is used for acquiring invoiced revenue data and invoiced revenue data of at least one time period based on the revenue data and the invoiced revenue data of at least one time period, and at least one item of income tax metering data corresponding to at least one time period is acquired based on the invoiced revenue data and the invoiced revenue data of at least one time period, and the income tax metering data includes: invoiced income tax data and non-invoiced income tax data. Therefore, the tax payment data of the company can be accurately determined by utilizing the income data and the invoiced data of the time period stored in the database, and the staff of the tax authority does not need to check and confirm the mass transaction data one by one, so that the labor and material cost is saved.
Fig. 2 is a schematic flow chart of a financial data processing method according to another exemplary embodiment of the disclosure. As shown in fig. 2, on the basis of the embodiment shown in fig. 1, the method may further include, after step S101, the steps of:
s201, acquiring income data and attribute information of invoiced data in at least one time period, wherein the attribute information comprises: and the product service type and the product service month corresponding to each item of data in the income data and the invoiced data of at least one time period.
Wherein the product service types include: disposable services and member services, such as member services divided by time period, include: monthly card services, quarterly services, semi-annual services, annucard services, and the like; the product service month includes: the service term of the product purchased by the user or the usage month of the product, for example: the product service purchased by the user is a year card service from 5 months to 4 months in 2018, if the user does not provide a service termination request in the product service period, the month of the product service is from 5 months to 4 months in 2018, and if the user provides the service termination request in 1 month in 2019, the month of the product service is from 5 months to 1 month in 2018.
S202, determining invoiced confirmed income data and invoiced unconfirmed income data corresponding to the invoiced income data of at least one time period and non-invoiced unconfirmed income data corresponding to the invoiced income data of at least one time period and the product service type and the product service month corresponding to each item of data in the invoiced data.
For example, the product service type purchased by the user is half-year service, the product service month is 5 months to 10 months of 2019, and invoicing is required, the current month is 9 months of 2019, assuming that the time period interval is 7 months to 10 months of 2019, and no request for terminating the product service is made by the user before 31 days of 2019, 8 months, the company takes the invoiced income data of the user in 7 months of 2019 and 2019, 8 months of 2019 as invoiced confirmed income data, and takes the invoiced income data of 2019 months of 2019 and 2019 months of 2019 as invoiced unconfirmed income data.
In some optional embodiments, the step 103 may include: and acquiring tax payment data of the invoiced confirmed income and tax sum data of the invoiced confirmed income of at least one time period based on the invoiced confirmed income data corresponding to the invoiced income data of at least one time period.
As shown in table 1, the product service type is a quarterly service, the time periods are 7 months in 2019, 8 months in 2019 and 9 months in 2019, respectively, the income data of 7 months in 2019 is 120 ten thousand yuan, the income data of 8 months in 2019 is 60 ten thousand yuan, the invoicing data of 7 months in 2019 is 80 ten thousand yuan (40 ten thousand yuan is invoiced in 7 months in 2019 and 40 ten thousand yuan is invoiced in 8 months in 2019 respectively), the invoiced data of 8 months in 2019 is 10 ten thousand yuan, the invoiced confirmed income data of 8 months in 2019 and 7 months in 2019 are up to the current month, the invoiced confirmed income data of 40 ten thousand yuan in 8 months in 2019 and the invoiced confirmed income data of 8 months in 2019 are 50 ten thousand yuan, the confirmed invoiced tax payment data of 7 months in 2019 is determined to be 2.4 ten thousand yuan according to the tax rate of 6%, the confirmed tax payment data of 8 months in 2019 is determined to be 3 ten thousand yuan, the confirmed tax payment total data of 7 months in 2019 is determined to be 42.4 ten thousand yuan, and the confirmed tax payment total data of 8 months in 2019 is determined to be 53 ten thousand yuan.
TABLE 1
In some optional embodiments, the step 103 may include: and acquiring tax payment data of the invoiced unconfirmed income and tax price aggregate data of the invoiced unconfirmed income of at least one time period based on the invoiced unconfirmed income data corresponding to the invoiced income data of at least one time period.
As shown in table 2, the product service type is a quarterly service, the time periods are 7 months in 2019, 8 months in 2019 and 9 months in 2019, respectively, the income data of 7 months in 2019 is 120 ten thousand yuan, the income data of 8 months in 2019 is 60 ten thousand yuan, the total invoicing data of 7 months in 2019 is 80 ten thousand yuan (40 ten thousand yuan is invoiced in 7 months in 2019 and 40 ten thousand yuan is invoiced in 8 months in 2019 respectively), the invoiced data of 8 months in 2019 is 10 ten thousand yuan, until 8 months in 2019 of the current month, on the basis of the data in the table 1, because the income data of the 7 th month in 2019 corresponds to the invoicing data of the 7 th month and the 8 th month in 2019, the tax payment is finished according to the rule of authority control, therefore, the invoiced unconfirmed income data of 7 months in 2019, the invoiced unconfirmed income data of 8 months in 2019, the invoiced unconfirmed tax payment data of 7 months in 2019, the invoiced unconfirmed tax payment data of 8 months in 2019, the invoiced unconfirmed tax payment data of 7 months in 2019, the invoiced unconfirmed tax collection data of 7 months in 2019, and the invoiced unconfirmed tax payment collection data of 8 months in 2019 are all 0 yuan.
TABLE 2
In some optional embodiments, the step 103 may include: and acquiring tax payment data of the invoiced confirmed income and tax sum data of the invoiced confirmed income of at least one time period based on the invoiced confirmed income data corresponding to the invoiced income data of at least one time period.
As shown in table 3, the product service type is a quarterly service, the time periods are 7 months in 2019, 8 months in 2019 and 9 months in 2019, respectively, the income data of 7 months in 2019 is 100 ten thousand yuan, the income data of 8 months in 2019 is 50 ten thousand yuan, the total invoicing data of 7 months in 2019 is 80 ten thousand yuan (40 ten thousand yuan is invoiced in 7 months in 2019 and 40 ten thousand yuan is invoiced in 8 months in 2019 respectively), the invoiced data of 8 months in 2019 is 10 ten thousand yuan, until 8 months in 2019 of the current month, on the basis of the data of table 1, the non-invoiced confirmed revenue data 0 yen for 7 months in 2019 and the non-invoiced confirmed revenue data 10 ten thousand yen for 8 months in 2019 were obtained, and therefore, the corresponding unetched confirmed tax payment data in 7 months in 2019 is 0 yuan, the unetched confirmed tax payment data in 8 months in 2019 is 0.6 ten yuan, the unetched unconfirmed tax rate total data in 7 months in 2019 is 0 yuan, and the unestablished tax rate total data in 8 months in 2019 is 10.6 ten yuan.
TABLE 3
In some optional embodiments, the step 103 may include: and acquiring tax payment data of the non-invoiced non-confirmed income and tax price aggregate data of the non-invoiced non-confirmed income of at least one time period based on the non-invoiced non-confirmed income data corresponding to the non-invoiced income data of at least one time period.
As shown in fig. 4, the product service type is a quarterly service, each time period is 7 months in 2019, 8 months in 2019 and 9 months in 2019, income data of 7 months in 2019 is 100 ten thousand yuan, income data of 8 months in 2019 is 50 ten thousand yuan, the invoicing data of 7 months in 2019 is 80 ten thousand yuan (40 ten thousand yuan is invoiced in 7 months in 2019 and 40 ten thousand yuan is invoiced in 8 months in 2019), the invoicing data of 8 months in 2019 is 10 ten thousand yuan, and the unacknowledged months in 2019 months by the current month is 9 months in 2019, so that 60 ten thousand yuan is obtained as the unacknowledged invoicing unacknowledged tax data of 9 months in 2019 on the basis of the data in table 1, and then, the unacknowledged tax data of 9 months in 2019 are determined to be 3.6 ten thousand yuan as the revenue rate of 6%, and the unacknowledged tax data of 9 months in 2019 are 63.6 ten thousand yuan.
TABLE 4
In some alternative embodiments, the pre-receivables data is derived based on invoiced and non-invoiced non-confirmed revenue data; obtaining pre-billed tax payment data based on the non-invoiced and non-confirmed income data and a preset tax rate; and obtaining pre-collection total data based on the pre-collection account data and the pre-collection account tax payment data. Obtaining revenue confirmation data and revenue confirmation accumulation data for at least one time period based on the invoiced confirmed revenue data and the non-invoiced confirmed revenue data for at least one time period; obtaining confirmed tax payment data, confirmed tax payment accumulated data of invoicing and confirmed tax payment accumulated data of non-invoicing for at least one time period based on the confirmed tax payment data of invoicing and the confirmed tax payment data of non-invoicing for at least one time period; and obtaining newly added invoicing income data based on confirmed tax payment accumulated data and the product service type of invoicing in at least one time period.
As shown in table 5, based on the income tax calculation data items in tables 1 to 4, data items in table 5(1) -table 5(3) are obtained, wherein pre-paid account is invoiced unacknowledged income data + unacknowledged income data, pre-paid account tax payment data is invoiced unacknowledged income data 6%, pre-paid sum data is pre-paid account + pre-paid tax payment data, confirmed income data is invoiced confirmed income data + unacknowledged income data, confirmed income data is invoiced income data, confirmed income accumulation data is determined income data of 7 months in 2019 + confirmed income data of 8 months in 2019, confirmed income data of 7 months in 2019 is invoiced income data of 7 months in 2019 + confirmed income data of 7 months in 2019, income data of 8 months in the current month in 2019-7 months in current year-8-7 months in current year-7 years in new-7 years in current year-7 years of invoiced income data in 2019 Count data/3 (product service type is quarterly service).
Watch 5(1)
TABLE 5(2)
TABLE 5(3)
Therefore, the income tax counting data correspond to different tax payment amounts which should be paid by the company in each month under different conditions, and then the income data, the tax payment data and other tax payment data of each month are obtained through statistics, summarization and calculation, so that financial staff can obtain various data related to the tax payment amount in a specified month after directly obtaining the income data and the invoicing data from the database.
The data sources in the above embodiments of the present disclosure may be obtained through a database in a product service system, the product service system may include platforms on various types of mobile client terminals, such as applets in the pay bank and the WeChat, and the product service system may be used to monitor the order situation and the invoicing situation, so that the income data and the invoicing data of the company in each month may be quickly and accurately counted.
Fig. 3 is a schematic structural diagram of a financial data processing apparatus according to an exemplary embodiment of the present disclosure. The financial data processing device can be arranged in electronic equipment such as a terminal device and a server and executes the data processing method of any one of the above embodiments of the disclosure. As shown in fig. 3, the financial data processing apparatus includes: a first acquisition module 301, a second acquisition module 302, and a third acquisition module 303. Wherein:
a first obtaining module 301, configured to obtain revenue data and invoiced data for at least one time period;
a second obtaining module 302 for obtaining invoiced revenue data and non-invoiced revenue data for at least one time period based on the revenue data and invoiced data for at least one time period;
a third obtaining module 303, configured to obtain at least one item of income tax calculating data corresponding to at least one time period based on the invoiced income data and the invoiced income data of at least one time period.
Wherein the revenue tax data comprises: invoiced income tax data and non-invoiced income tax data.
According to the financial data processing device provided by the above embodiment of the present disclosure, a financial data processing method for different tax payment amounts per month is provided, which includes acquiring income data and invoiced data of at least one time period, acquiring invoiced income data and invoiced income data of at least one time period based on the income data and the invoiced data of at least one time period, and acquiring at least one income tax accounting data corresponding to at least one time period based on the invoiced income data and the invoiced income data of at least one time period, wherein the income tax accounting data includes: invoiced income tax data and non-invoiced income tax data. Therefore, the tax payment data of the company can be accurately determined by utilizing the income data and the invoiced data of the time period stored in the database, and the staff of the tax authority does not need to check and confirm the mass transaction data one by one, so that the labor and material cost is saved.
Fig. 4 is a schematic structural diagram of a data processing apparatus according to another exemplary embodiment of the present disclosure. As shown in fig. 4, on the basis of the embodiment shown in fig. 3, another exemplary embodiment of the present disclosure provides a data processing apparatus, after the first obtaining module 301, further including: an attribute obtaining module 401, configured to obtain attribute information of revenue data and invoiced data for at least one time period, where the attribute information includes: and the product service type and the product service month corresponding to each item of data in the income data and the invoiced data of at least one time period.
A second obtaining module in the data processing apparatus according to another exemplary embodiment of the present disclosure is specifically configured to: and determining invoiced confirmed income data and invoiced unconfirmed income data corresponding to the invoiced income data of at least one time period and non-invoiced unconfirmed income data corresponding to the non-invoiced income data of at least one time period based on the income data of at least one time period and the product service type and the product service month corresponding to each item of data in the invoiced data.
A third obtaining module in the data processing apparatus according to yet another exemplary embodiment of the present disclosure is specifically configured to obtain tax payment data of the invoiced confirmed income and tax price aggregation data of the invoiced confirmed income for at least one time period based on the invoiced confirmed income data corresponding to the invoiced income data for at least one time period.
A third obtaining module in the data processing apparatus according to yet another exemplary embodiment of the present disclosure is specifically configured to obtain tax payment data of the non-invoiced confirmed income and tax price aggregation data of the non-invoiced confirmed income for at least one time period based on the non-invoiced confirmed income data corresponding to the non-invoiced income data for at least one time period.
A third obtaining module in the data processing apparatus according to yet another exemplary embodiment of the present disclosure is specifically configured to obtain tax payment data of the non-invoiced non-confirmed income and tax price aggregation data of the non-invoiced non-confirmed income for at least one time period based on the non-invoiced non-confirmed income data corresponding to the non-invoiced income data for at least one time period.
In addition, in some optional embodiments, the data processing apparatus provided in the present disclosure further includes: a first obtaining module for obtaining pre-receivable account data based on invoiced and unconfirmed income data and unacknowledged income data; the second obtaining module is used for obtaining pre-billed tax payment data based on the non-invoiced and non-confirmed income data and the preset tax rate; and the third obtaining module is used for obtaining the pre-collection total data based on the pre-receivables data and the pre-receivables tax payment data. A fourth obtaining module, configured to obtain revenue confirmation data and revenue confirmation accumulation data for at least one time period based on the invoiced confirmed revenue data and the invoiced confirmed revenue data for at least one time period; a fifth obtaining module, configured to obtain at least one time period of confirmed tax payment data, confirmed tax payment accumulated data after invoicing, and confirmed tax payment accumulated data after non-invoicing based on at least one time period of confirmed tax payment data after invoicing and confirmed tax payment data after non-invoicing; and the sixth obtaining module is used for obtaining newly added invoicing income data based on the confirmed tax payment accumulated data and the product service type of invoicing in at least one time period.
The data sources in the above embodiments of the present disclosure may be obtained through a database in a product service system, the product service system may include platforms on various types of mobile client terminals, such as applets in the pay bank and the WeChat, and the product service system may be used to monitor the order situation and the invoicing situation, so that the income data and the invoicing data of the company in each month may be quickly and accurately counted.
In addition, an embodiment of the present disclosure also provides an electronic device, which includes: a processor; a memory for storing the processor-executable instructions;
the processor is used for reading the executable instructions from the memory and executing the instructions to realize the financial data processing method according to any one of the above embodiments of the disclosure.
Next, an electronic apparatus according to an embodiment of the present disclosure is described with reference to fig. 5. The electronic device may be either or both of the first device and the second device, or a stand-alone device separate from them, which stand-alone device may communicate with the first device and the second device to receive the acquired input signals therefrom. FIG. 5 illustrates a block diagram of an electronic device in accordance with an embodiment of the disclosure. As shown in fig. 5, the electronic device includes one or more processors 501 and memory 502.
The processor 501 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.
The input device 503 may also include, for example, a keyboard, a mouse, and the like.
The output device 504 can output various information to the outside. The output devices 504 may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, among others.
Of course, for simplicity, only some of the components of the electronic device relevant to the present disclosure are shown in fig. 5, omitting components such as buses, input/output interfaces, and the like. In addition, the electronic device may include any other suitable components, depending on the particular application.
In addition to the above-described methods and apparatus, embodiments of the present disclosure may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps in the financial data processing methods of the various embodiments described above in this specification.
The computer program product may write program code for carrying out operations for embodiments of the present disclosure in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present disclosure may also be a computer-readable storage medium having stored thereon computer program instructions, which, when executed by a processor, cause the processor to perform the steps in the financial data processing methods of the various embodiments described above in this specification.
The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing describes the general principles of the present disclosure in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present disclosure are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present disclosure. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the disclosure is not intended to be limited to the specific details so described.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The block diagrams of devices, apparatuses, systems referred to in this disclosure are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations, etc. must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
The methods and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.
It is also noted that in the devices, apparatuses, and methods of the present disclosure, each component or step can be decomposed and/or recombined. These decompositions and/or recombinations are to be considered equivalents of the present disclosure.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the disclosure. Thus, the present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the disclosure to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.
Claims (10)
1. A financial data processing method, comprising:
acquiring income data and invoiced data of at least one time period based on the order condition and the invoicing condition in a database of the product service system; wherein the time period is a certain month of a specified certain year or all months in a month interval of a certain year or all months in a month interval spanning years;
acquiring the income data and the attribute information of the invoiced data of the at least one time period based on the order condition and the invoicing condition in the database of the product service system, wherein the attribute information comprises: product service types and product service months corresponding to various data in the income data and the invoiced data; wherein the product service types include: a one-time service or a member service; the product service month comprises: a service term of a product purchased by a user or a usage month of the product;
adjusting product services purchased by the user according to service requests made by the user in the service months;
acquiring invoiced income data and invoiced income data of the at least one time period based on product service types and product service months corresponding to each item of data in the income data and the invoiced data of the at least one time period, wherein the invoiced income data and the invoiced income data comprise: confirmed invoicing income data and unconfirmed invoicing income data corresponding to the invoicing income data, and unconfirmed invoicing income data corresponding to the unconfirmed invoicing income data;
determining at least one item of revenue tax accounting data corresponding to the at least one time period based on the invoiced and non-invoiced revenue data for the at least one time period, the revenue tax accounting data comprising: invoiced income tax data and non-invoiced income tax data, the invoiced income tax data and non-invoiced income tax data comprising any one or more of: the tax payment data comprises tax payment data of invoiced confirmed income, tax payment data of invoiced unconfirmed income, tax payment data of unpaid invoiced confirmed income and tax payment data of unpaid invoiced unconfirmed income.
2. The method of claim 1, wherein obtaining at least one item of revenue tax accounting data corresponding to the at least one time period based on the invoiced and unetched revenue data for the at least one time period comprises:
and acquiring tax payment data of the invoiced confirmed income and tax price aggregate data of the invoiced confirmed income of at least one time period based on the invoiced confirmed income data corresponding to the invoiced income data of at least one time period.
3. The method of claim 1, wherein obtaining at least one item of revenue tax accounting data corresponding to the at least one time period based on the invoiced and unetched revenue data for the at least one time period comprises:
and acquiring tax payment data of the invoiced unconfirmed income and tax price aggregate data of the invoiced unconfirmed income of at least one time period based on the invoiced unconfirmed income data corresponding to the invoiced income data of at least one time period.
4. The method of claim 1, wherein obtaining at least one item of revenue tax accounting data corresponding to the at least one time period based on the invoiced and unetched revenue data for the at least one time period comprises:
and acquiring tax payment data of the invoiced confirmed income and tax price aggregate data of the invoiced confirmed income of at least one time period based on the invoiced confirmed income data corresponding to the invoiced income data of at least one time period.
5. The method of claim 1, wherein obtaining at least one item of revenue tax accounting data corresponding to the at least one time period based on the invoiced and unetched revenue data for the at least one time period comprises:
and acquiring tax payment data of the non-invoicing unconfirmed income and tax price aggregate data of the non-invoicing unconfirmed income of the at least one time period based on the non-invoicing unconfirmed income data corresponding to the non-invoicing income data of the at least one time period.
6. The method of any of claims 2-5, further comprising:
obtaining pre-receivables data based on the invoiced unconfirmed revenue data and the unacknowledged invoiced unconfirmed revenue data;
obtaining pre-billed tax payment data based on the non-invoiced and non-confirmed income data and a preset tax rate;
and obtaining pre-collection total data based on the pre-collection account data and the pre-collection account tax payment data.
7. The method of claim 6, further comprising:
obtaining revenue confirmation data and revenue confirmation accumulation data for at least one time period based on the invoiced confirmed revenue data and the non-invoiced confirmed revenue data for the at least one time period;
obtaining confirmed tax payment data, confirmed tax payment accumulated data of invoicing and confirmed tax payment accumulated data of non-invoicing for at least one time period based on the confirmed tax payment data of invoicing and the confirmed tax payment data of non-invoicing for at least one time period;
and obtaining newly added invoicing income data based on the confirmed tax payment accumulated data of invoicing and the product service type in at least one time period.
8. A financial data processing apparatus, comprising:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring income data and invoiced data of at least one time period based on order conditions and invoicing conditions in a database of a product service system; wherein the time period is a certain month of a specified certain year or all months in a month interval of a certain year or all months in a month interval spanning years;
an attribute obtaining module, configured to obtain attribute information of the revenue data and the invoiced data for the at least one time period based on an order condition and an invoicing condition in a database of the product service system, where the attribute information includes: product service types and product service months corresponding to various data in the income data and the invoiced data; wherein the product service types include: a one-time service or a member service; the product service month comprises: a service term of a product purchased by a user or a usage month of the product;
the attribute acquisition module is further used for adjusting the product service purchased by the user according to the service request provided by the user in the service month;
a second obtaining module, configured to obtain invoiced revenue data and non-invoiced revenue data of the at least one time period based on product service types and product service months corresponding to each item of data in the revenue data and the invoiced revenue data of the at least one time period, where the invoiced revenue data and the non-invoiced revenue data include: confirmed invoicing income data and unconfirmed invoicing income data corresponding to the invoicing income data, and unconfirmed invoicing income data corresponding to the unconfirmed invoicing income data;
a third obtaining module, configured to obtain at least one item of revenue tax accounting data corresponding to the at least one time period based on the invoiced revenue data and the invoiced revenue data of the at least one time period, where the revenue tax accounting data includes: invoiced income tax data and non-invoiced income tax data, the invoiced income tax data and non-invoiced income tax data comprising any one or more of: the tax payment data comprises tax payment data of invoiced confirmed income, tax payment data of invoiced unconfirmed income, tax payment data of unpaid invoiced confirmed income and tax payment data of unpaid invoiced unconfirmed income.
9. A computer-readable storage medium, characterized in that the storage medium stores a computer program for executing the financial data processing method according to any one of claims 1-7.
10. An electronic device, characterized in that the electronic device comprises:
a processor;
a memory for storing the processor-executable instructions;
the processor is used for reading the executable instructions from the memory and executing the instructions to realize the financial data processing method of any one of the claims 1-7.
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