Financial statement generation method and device, computer equipment and readable storage medium
阅读说明：本技术 财务报表生成方法、装置、计算机设备和可读存储介质 (Financial statement generation method and device, computer equipment and readable storage medium ) 是由 蒙超 邹明 于 2019-11-11 设计创作，主要内容包括：本申请实施例提供了一种财务报表生成方法、装置、计算机设备和可读存储介质，财务报表生成方法应用于计算机设备，计算机设备中有预先设置的多个月份数据字段，该方法包括：获取目标月度财报数据，将目标月度财报数据存储在目标月份数据字段中；判断目标月度财报数据是否满足预设目标季度财报数据的构成条件；若是，则根据目标月度财报数据生成目标季度财报数据，能够较为便捷地生成财务报表。(The embodiment of the application provides a financial statement generating method, a financial statement generating device, computer equipment and a readable storage medium, wherein the financial statement generating method is applied to the computer equipment, the computer equipment is provided with a plurality of month data fields which are preset, and the method comprises the following steps: acquiring target monthly financial report data, and storing the target monthly financial report data in a target month data field; judging whether the target monthly financial report data meet the construction conditions of preset target quarterly financial report data or not; if so, generating target quarterly financial report data according to the target monthly financial report data, and generating a financial report more conveniently.)
1. A financial statement generating method is applied to a computer device, wherein the computer device is provided with a plurality of month data fields which are preset, and the method comprises the following steps:
acquiring target monthly financial report data, and storing the target monthly financial report data in a target month data field;
judging whether the target monthly financial report data meet the composition conditions of preset target quarterly financial report data or not;
and if so, generating target quarterly financial report data according to the target monthly financial report data.
2. The method of claim 1, wherein the step of determining whether the target monthly financial instrument data satisfies a predetermined target quarterly financial instrument data composition condition comprises:
acquiring the month in which the target monthly financial report data is located;
judging whether the target monthly financial report data is positioned in the last quarter month or not according to the month;
if so, judging that the target monthly financial report data meets the construction conditions of preset target quarterly financial report data;
if not, judging that the target monthly financial report data does not meet the construction conditions of preset target quarterly financial report data.
3. The method of claim 2, wherein generating target quarterly financial instrument data from the target monthly financial instrument data comprises:
calculating to obtain quarterly financial report data according to the target monthly financial report data, first monthly financial report data corresponding to the first quarter of the quarter where the target monthly financial report data is located and second monthly financial report data corresponding to the middle quarter of the quarter where the target monthly financial report data is located;
and covering the quarterly financial report data to month data fields corresponding to the target monthly financial report data, the first monthly financial report data and the second monthly financial report data to obtain the target quarterly financial report data.
4. The method of claim 1, further comprising:
judging whether the target quarterly financial report data meets the construction conditions of preset target semiannual financial report data or not;
and if so, generating target semiannual financial report data according to the target quarterly financial report data.
5. The method of claim 4, wherein the step of determining whether the target quarterly financial instrument data satisfies a predetermined target semiannual financial instrument data composition condition comprises:
acquiring the quarter of the target quarter financial report data;
judging whether the target quarterly financial report data is located in a second quarterly or not according to the quarterly;
if so, judging that the target quarterly financial report data meets the construction conditions of preset target semiannual financial report data;
if not, judging that the target quarterly financial report data does not meet the construction conditions of the preset target semiannual financial report data.
6. The method of claim 5, wherein generating target semiannual financial data from the target quarterly financial data comprises:
calculating to obtain semiannual financial report data according to first quarter financial report data positioned in a first quarter and the target quarter financial report data;
and covering the semiannual financial report data to month data fields corresponding to the first quarter financial report data and the target quarter financial report number to obtain target semiannual financial report data.
7. The method of claim 1, further comprising the step of evaluating said target monthly financial data, comprising:
acquiring the month in which the target monthly financial report data is located;
obtaining the evaluation range of the target monthly financial report data according to the months;
and evaluating the target monthly financial report data according to the evaluation range.
8. A financial statement generating apparatus, applied to a computer device, wherein the computer device has a plurality of month data fields set in advance, the apparatus comprising:
the acquisition module is used for acquiring target monthly financial report data and storing the target monthly financial report data in a target month data field;
the judging module is used for judging whether the target monthly financial report data meets the composition conditions of preset target quarterly financial report data; and if so, generating target quarterly financial report data according to the target monthly financial report data.
9. A computer device comprising a processor and a non-volatile memory having computer instructions stored thereon, wherein the computer instructions, when executed by the processor, cause the computer device to perform the financial statement generation method of any one of claims 1-7.
10. A readable storage medium, characterized in that the readable storage medium comprises a computer program, and the computer program controls a computer device on which the readable storage medium is executed to execute the financial statement generating method according to any one of claims 1-7.
Technical Field
The application relates to the technical field of big data, in particular to a financial statement generation method and device, computer equipment and a readable storage medium.
Background
The financial statements are particularly important for various companies, and when scientific research of financial markets is carried out, data of a plurality of companies (competitors or friends and the like) can be taken out for comparison and reference, so that the data volume is huge. In the prior art, due to the hysteresis of the financial report data, many factors need to be considered to acquire the real state of the enterprise at that time, and the operation on huge data is inconvenient.
In view of this, it is considered by those skilled in the art how to provide a convenient financial statement generation scheme.
Disclosure of Invention
The embodiment of the application provides a financial statement generation method and device, computer equipment and a readable storage medium.
The embodiment of the application can be realized as follows:
in a first aspect, an embodiment provides a financial statement generating method, which is applied to a computer device, where the computer device has a plurality of month data fields set in advance, and the method includes:
acquiring target monthly financial report data, and storing the target monthly financial report data in a target month data field;
judging whether the target monthly financial report data meet the composition conditions of preset target quarterly financial report data or not;
and if so, generating target quarterly financial report data according to the target monthly financial report data.
In an optional embodiment, the step of determining whether the target monthly financial report data meets the composition condition of the preset target quarterly financial report data includes:
acquiring the month in which the target monthly financial report data is located;
judging whether the target monthly financial report data is positioned in the last quarter month or not according to the month;
if so, judging that the target monthly financial report data meets the construction conditions of preset target quarterly financial report data;
if not, judging that the target monthly financial report data does not meet the construction conditions of preset target quarterly financial report data.
In an optional embodiment, the generating target quarterly financial report data according to the target monthly financial report data includes:
calculating to obtain quarterly financial report data according to the target monthly financial report data, first monthly financial report data corresponding to the first quarter of the quarter where the target monthly financial report data is located and second monthly financial report data corresponding to the middle quarter of the quarter where the target monthly financial report data is located;
and covering the quarterly financial report data to month data fields corresponding to the target monthly financial report data, the first monthly financial report data and the second monthly financial report data to obtain the target quarterly financial report data.
In an alternative embodiment, the method further comprises:
judging whether the target quarterly financial report data meets the construction conditions of preset target semiannual financial report data or not;
and if so, generating target semiannual financial report data according to the target quarterly financial report data.
In an optional embodiment, the step of determining whether the target quarterly financial report data satisfies a preset target semiannual financial report data composition condition includes:
acquiring the quarter of the target quarter financial report data;
judging whether the target quarterly financial report data is located in a second quarterly or not according to the quarterly;
if so, judging that the target quarterly financial report data meets the construction conditions of preset target semiannual financial report data;
if not, judging that the target quarterly financial report data does not meet the construction conditions of the preset target semiannual financial report data.
In an optional embodiment, the generating target semiannual financial report data according to the target quarterly financial report data includes:
calculating to obtain semiannual financial report data according to first quarter financial report data positioned in a first quarter and the target quarter financial report data;
and covering the semiannual financial report data to month data fields corresponding to the first quarter financial report data and the target quarter financial report number to obtain target semiannual financial report data.
In an alternative embodiment, the method further comprises the step of evaluating the target monthly financial instrument data, the step comprising:
acquiring the month in which the target monthly financial report data is located;
obtaining the evaluation range of the target monthly financial report data according to the months;
and evaluating the target monthly financial report data according to the evaluation range.
In a second aspect, an embodiment provides a financial statement generating apparatus, which is applied to a computer device, where there are a plurality of month data fields preset in the computer device, and the apparatus includes:
the acquisition module is used for acquiring target monthly financial report data and storing the target monthly financial report data in a target month data field;
the judging module is used for judging whether the target monthly financial report data meets the composition conditions of preset target quarterly financial report data; and if so, generating target quarterly financial report data according to the target monthly financial report data.
In a third aspect, an embodiment provides a computer device, where the computer device includes a processor and a non-volatile memory storing computer instructions, and when the computer instructions are executed by the processor, the computer device executes the financial report generation method according to any one of the foregoing embodiments.
In a fourth aspect, an embodiment provides a readable storage medium, where the readable storage medium includes a computer program, where the computer program controls, when running, a computer device on which the readable storage medium is located to execute the financial statement generation method described in any one of the foregoing embodiments.
The beneficial effects of the embodiment of the application include, for example:
by adopting the financial statement generating method and device, the computer equipment and the readable storage medium provided by the embodiment of the application, the financial statement required by the user can be generated more conveniently by skillfully setting the target monthly financial statement data and the target quarterly financial statement data.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
FIG. 1 is a schematic flowchart illustrating steps of a financial statement generating method according to an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating the sub-steps of step S202 in FIG. 1;
fig. 3 is a schematic diagram illustrating a data storage manner of a target monthly financial report according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of a financial statement generating apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Icon: 100-a computer device; 110-financial statement generating means; 1101-an acquisition module; 1102-a judgment module; 111-a memory; 112-a processor; 113-communication unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
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, it need not be further defined and explained in subsequent figures.
Furthermore, the appearances of the terms "first," "second," and the like, if any, are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
It should be noted that the features of the embodiments of the present application may be combined with each other without conflict.
At present, when each enterprise analyzes financial data, in order to accurately acquire the situation that the enterprise is closer to reality at that time, financial statements of the enterprise, competitors and friends can be put together for financial investigation and analysis, financial report data of a plurality of companies are very huge, and when a user needs to acquire certain financial data at a certain time point, the user needs to perform complex judgment to select the best financial report data. For example, in the current 4 months, it is necessary to determine whether to generate a quarterly financial report of the first quarter according to the previous three months of data in order to check the financial report data of each company in the previous three months, if so, the generated quarterly financial report of the first quarter can be used for analysis more accurately, and if not, the generated quarterly financial report of the first quarter can be used for analysis according to the monthly financial report data of each month in the previous three months. The problem of the single financial statement in the judgment is not great, but the financial data to be analyzed are mostly in the order of tens of millions, so that the financial data which is more reliable at a certain time point needs to be acquired, a large amount of complex logics are needed, and the method is very troublesome. Based on this, the embodiment of the present application provides an example of a financial statement generating method, which is applied to a computer device, where there are a plurality of month data fields set in advance, and the method includes steps S201 to S204, as shown in fig. 1.
Step S201, obtaining target monthly financial report data, and storing the target monthly financial report data in a target month data field.
Step S202, judging whether the target monthly financial report data meets the composition conditions of preset target quarterly financial report data.
If yes, go to step S203; if not, go to step S204.
And step S203, generating target quarterly financial report data according to the target monthly financial report data.
And step S204, not changing the target monthly financial report data.
The method can divide a plurality of month data fields in the computer equipment in advance, each month data field is used for storing the financial report data corresponding to the month, and twelve month data fields can be set for correspondingly storing the financial report data from january to december as the month is fixed. Target monthly statement data may be obtained, which may be liabilities, assets, monetary funds, bills, profits, interest, cash flows, and turnover, etc. The method for acquiring the target financial report data may be input by the user, or may be acquired from the cloud database, which is not limited herein.
On the basis of the foregoing, as shown in fig. 2, the present embodiment provides a step of determining whether the target monthly financial report data satisfies the configuration condition of the preset target quarterly financial report data, which includes steps S2021 to S2024.
Step S2021, obtaining the month in which the target monthly financial report data is located.
Step S2022, judging whether the target monthly financial report data is located in the last quarter month according to the month.
If yes, go to step S2023; if not, go to step S2024.
Step S2023, determining that the target monthly financial report data meets the composition condition of the preset target quarterly financial report data.
Step S2024, determining that the target monthly financial report data does not satisfy the configuration condition of the preset target quarterly financial report data.
After the target monthly financial report data is obtained, the month in which the target monthly financial report data is located can be further obtained, and the data of which month from January to December is obtained. In the present embodiment, a twelve month of a year may be divided into four quarters, wherein january, february, and march may be regarded as first quarters, april, may, and june may be regarded as second quarters, july, august, and september may be regarded as third quarters, and october, november, and december may be regarded as fourth quarters. In the first quarter, january may be regarded as the first quarter month of the quarter, february may be regarded as the middle quarter month of the quarter, march may be regarded as the last quarter month of the quarter, and the relationship among the months in the second quarter, the third quarter and the fourth quarter may be the same, which is not described again. For example, the month in which the target monthly financial report data is located is march, and march is the last quarter month of the first quarter, so that it can be determined that the target monthly financial report data satisfies the constituent condition of the preset target quarterly financial report data. If the month in which the target monthly financial newspaper data is located is august, and august is a quarterly middle month in the third quarter, it can be determined that the target monthly financial newspaper data does not satisfy the composition condition of the preset target quarterly financial newspaper data. If the month in which the target monthly financial newspaper data is located is October and October is the first quarter month in the fourth quarter, the target monthly financial newspaper data can be judged not to meet the composition condition of the preset target quarterly financial newspaper data.
On this basis, an example of generating target quarterly financial report data according to the target monthly financial report data is also provided in the embodiments of the present application, please refer to fig. 3, which can be implemented by the following steps.
And calculating to obtain quarterly financial report data according to the target monthly financial report data, first monthly financial report data corresponding to the first quarter of the quarter where the target monthly financial report data is located and second monthly financial report data corresponding to the middle quarter of the quarter where the target monthly financial report data is located.
And covering the quarterly financial report data to month data fields corresponding to the target monthly financial report data, the first monthly financial report data and the second monthly financial report data to obtain the target quarterly financial report data.
When the target monthly financial report data is the last month of the quarter of the target monthly financial report data, the first monthly financial report data corresponding to the first month of the quarter and the second monthly financial report data corresponding to the middle month of the quarter can be obtained. The target monthly financial report data, the first monthly financial report data and the second monthly financial report data may form quarterly financial report data of the quarter, and the process of analyzing and sorting according to the target monthly financial report data, the first monthly financial report data and the second monthly financial report data is a relatively mature technology and is not described herein again. For example, the target monthly report data may be march, the first quarter month of the first quarter is january, the report data corresponding to january is first monthly report data, the middle quarter month of the first quarter is february, and the report data corresponding to february is second monthly report data, and the first quarter monthly report data may be obtained by calculation and analysis according to the march report data (target monthly report data), the month report data (first monthly report data), and the month report data (second february report data).
In order to avoid the problem that the monthly financial report data or the quarterly financial report data in the financial report data needs to be judged to be collected due to the excessively large data quantity when the data is used subsequently, after the quarterly financial report data corresponding to the target monthly financial report data is obtained, the quarterly financial report data can be covered to month data fields corresponding to the target monthly financial report data, the first monthly financial report data and the second monthly financial report data to obtain the target quarterly financial report data, through the operation, after quarterly financial report data is obtained through calculation and analysis according to the target monthly financial report data, the first monthly financial report data and the second monthly financial report data, and deleting the target monthly financial report data, the first monthly financial report data and the second monthly financial report data, and storing the quarterly financial report data in the month data field for originally storing the target monthly financial report data, the first monthly financial report data and the second monthly financial report data. For example, the target monthly financial report data is March financial report data, the first monthly financial report data is January financial report data, and the second February financial report data is February financial report data. And calculating and analyzing to obtain quarterly financial report data of a first quarter according to the financial report data of March, the financial report data of January and the financial report data of February, then storing the quarterly financial report data of the first quarter into a month data field of March, a month data field of January and a month data field of February, which originally store the fiscal report data of March, the financial report data of January and the financial report data of February, and covering the original data to obtain target quarterly financial report data of the first quarter. The current time can be in the beginning of the fourth month, when a user needs to check the current financial statements of multiple companies to perform operations such as financial research and the like, originally stored monthly financial statement data, february financial statement data and march financial statement data are already covered at the moment, only the target quarterly financial statement data which are obtained by analyzing and calculating the monthly financial statement data, the february financial statement data and the march financial statement data and stored in monthly financial statement data, the february financial statement data and the original monthly statement data field of the march financial statement data are stored, the user can directly take out the target quarterly financial statement data of the multiple companies for comparison, and in the taking-out process, other complex judgments are not needed by computer equipment. It should be appreciated that the target quarterly financial report data, which is analytically calculated from the target monthly financial report data, the first monthly financial report data and the second monthly financial report data, is more accurate than the target monthly financial report data, the first monthly financial report data and the second monthly financial report data. For example, for profit, this financial data, a financial bill is generated in one month, but is not settled until march. Due to the special hysteresis of the financial report data, the analysis of the quarterly financial reports can be more accurate than the information obtained by independently analyzing each monthly financial report in the quarterly. Therefore, through the scheme, not only can the complex logic judgment of the computer equipment during the extraction of the financial and newspaper data be avoided, but also the accuracy of the user during the acquisition of the financial and newspaper data at the current time point can be ensured.
In addition to generating the target quarterly financial report data, an example of generating the target semiannual financial report data is provided in the embodiments of the present application, which can be implemented by the following steps, please refer back to fig. 3.
Judging whether the target quarterly financial report data meets the construction conditions of preset target semiannual financial report data or not;
and if so, generating target semiannual financial report data according to the target quarterly financial report data.
In the present embodiment, as described above, the processing of the financial report data in one year may be divided into the first quarter, the second quarter, the third quarter, and the fourth quarter, and the months included in the first quarter and the second quarter are from one month to six months, and the financial report data of the first six months in one year may constitute the semiannual financial report data.
On the basis, the embodiment of the application provides an example for judging whether the target quarterly financial report data meets the composition condition of the preset target semiannual financial report data, and the method can be realized through the following steps.
And acquiring the quarter of the target quarter financial report data.
And judging whether the target quarterly financial report data is positioned in the second quarterly or not according to the quarterly.
And if so, judging that the target quarterly financial report data meets the construction conditions of preset target semiannual financial report data.
If not, judging that the target quarterly financial report data does not meet the construction conditions of the preset target semiannual financial report data.
The quarter in which the target quarterly financial report data is located can be obtained first, only when the target quarterly financial report data is located in the second quarter, the composition condition that the target semiannual financial report data is preset can be judged to be met, because one year can be divided into four quarters, and when the fourth quarter is reached, a user wants to check the current financial report data, based on the reason, only the annual financial report data can be generated for more accurate and complex logic judgment avoidance, therefore, the semiannual financial report data and the semiannual financial report data can be not set, and only the first quarterly financial report data and the second quarterly financial report data are analyzed and calculated to obtain the target semiannual financial report data.
On the basis of the foregoing, an example of generating target semiannual financial report data from the target quarterly financial report data according to the embodiments of the present application can be implemented by the following steps.
And calculating to obtain semiannual financial report data according to the first quarter financial report data positioned in the first quarter and the target quarter financial report data.
And covering the semiannual financial report data to month data fields corresponding to the first quarter financial report data and the target quarter financial report number to obtain target semiannual financial report data.
Similar to the quarter financial report data obtained by calculation according to the target monthly financial report data, the first monthly financial report data and the second financial report data, the semiannual financial report data can be obtained by calculation through the first quarter financial report data positioned in the first quarter and the target quarter financial report data, and the semiannual financial report data obtained by analysis and calculation can be covered into the month data field originally storing the first quarter financial report data and corresponding to the target quarter financial report number. The current time is July, the user wants to look over the financial newspaper data of current each company, the quarterly financial newspaper data of first quarter and the quarterly financial newspaper data of second quarter that originally have been deleted, only the target semiannual financial newspaper data that obtains according to quarterly financial newspaper data of first quarter and quarterly financial newspaper data calculation of second quarter have been left, computer equipment is in the in-process of drawing, need not carry out complicated logic judgement, can directly put forward the target semiannual financial newspaper data of each company and carry out activities such as financial investigation, can acquire the more accurate financial newspaper data of current time for the user.
In addition to the foregoing scheme for storing financial report data, an example for evaluating the target monthly financial report data is provided in the embodiments of the present application, and may be implemented through the following steps.
And acquiring the month in which the target monthly financial report data is located.
And obtaining the evaluation range of the target monthly financial report data according to the months.
And evaluating the target monthly financial report data according to the evaluation range.
When a user evaluates target monthly data, the evaluation range of the target monthly financial report data can be obtained, the evaluation range of the target monthly financial report data can be regarded as the current target monthly data and previous data, for example, the target monthly financial report data is the financial report data of march, the evaluation range can be the financial report data of january, the financial report data of february and the financial report data of march, namely, the evaluation can be carried out through the quarterly financial report data of the first season. If the target monthly financial report data is the financial report data of July, the assessment range can be the financial report data of January to July, namely the target monthly financial report data can be assessed through the semiannual financial report data and the July monthly financial report data, and a more accurate assessment result can be obtained.
The embodiment of the present application provides a financial
the obtaining
A judging
The implementation principle of the financial
The embodiment provides a
The memory 111, the processor 112 and the
The Memory 111 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The embodiment provides a readable storage medium, which includes a computer program, and the computer program controls the
In summary, the embodiments of the present application provide a financial statement generation method, apparatus, computer device and readable storage medium, which can conveniently acquire a financial statement required by a user by smartly setting target monthly financial statement data and target quarterly financial statement data.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
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