Benchmarking

The Benchmarking Object

From the Financial Benchmarking endpoint, you can retrieve financial benchmarks within the Railz cohort based on the age of business, industry code and region. See Financial Benchmarking endpoint for more details.

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Data Dependencies

Financial benchmarks are created for monthly, quarterly and yearly timeframes. Financial benchmarks depend on the financial statements and financial ratios for the respective timeframe. In addition, a business must have populated at least a business name or domain name in their business information to allow Railz to infer the industry code (NAICS).

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All financial benchmarks are part of an array of reports. See Reports data type for more details on the report structure and its meta-data.

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Financial Benchmarks

Each benchmark report will have the following nested data (summary statistics) for each variable based on the section, subSection, group, and subGroup of a financial statement and financial ratios.

Benchmarks based on tax data in partnership with Powerlytics do not include financial ratios.

FieldTypeDescription
sectionobjectSummary statistics for section level of financial statements.
subSectionobjectSummary statistics for subSection level of financial statements.
groupobjectSummary statistics for group level of financial statements.
subGroupobjectSummary statistics for subGroup level of financial statements.
ratiosobjectSummary statistics for ratios level of financial statements.

Summary Statistics

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Summary Statistics Naming Convention

The naming convention for the summary statistics is camelCase with the statistic abbreviation as the prefix. For example, the maximum value of COGS is represented as maxCostOfGoodsSold.

FieldTypeDescription
countintegerNumber of business records in the cohort.
mindecimalMinumum value of the cohort. Rounded to 2 decimals.
maxdecimalMaximum value of the cohort. Rounded to 2 decimals.
meandecimalAverage value of the cohort. Rounded to 2 decimals.
mediandecimalMedian value of the cohort. Rounded to 2 decimals.
sdevdecimalStandard deviation value of the cohort. Rounded to 2 decimals.
quantile5decimal5% quantile value of the cohort. Rounded to 2 decimals.
quantile25decimal25% quantile value of the cohort. Rounded to 2 decimals.
quantile75decimal75% quantile value of the cohort. Rounded to 2 decimals.
quantile95decimal95% quantile value of the cohort. Rounded to 2 decimals.