Getting a summary with the basic financials for all companies
yearly_data.RdGetting a summary with the basic financials for all companies
Examples
yearly_data(years = 2022:2023)
#> --------------------------------------
#> -- Starting data retrieval from EDGAR
#> -- May take ~30sec
#> --------------------------------------
#> -- Getting Revenue
#> -- Getting Operating Income
#> -- Getting Net Income
#> -- Getting Gross Profit
#> -- Tidying up the data
#> taxonomyccpuomdata.cikdata.entityNamedata.locdata.startdata.endyearOperatingIncomeLossGrossProfitrevenuenet_income
#> Got the financials of 6640 companies
#> # A tibble: 7,501 × 19
#> data.cik data.entityName ccp year taxonomy uom data.loc data.start
#> <int> <chr> <chr> <int> <chr> <chr> <chr> <chr>
#> 1 1084869 1 800 FLOWERS COM INC CY20… 2022 us-gaap USD US-NY 2021-06-28
#> 2 1084869 1 800 FLOWERS COM INC CY20… 2023 us-gaap USD US-NY 2022-07-04
#> 3 1848898 10X CAPITAL VENTURE … CY20… 2022 us-gaap USD US-NY 2022-01-01
#> 4 1848948 10X CAPITAL VENTURE … CY20… 2022 us-gaap USD US-NY 2022-01-01
#> 5 1770787 10X GENOMICS, INC. CY20… 2022 us-gaap USD US-CA 2022-01-01
#> 6 1738906 111, INC. CY20… 2022 us-gaap USD CN- 2022-01-01
#> 7 1877461 1606 CORP. CY20… 2022 us-gaap USD US-AZ 2022-01-01
#> 8 1821468 17 EDUCATION & TECHN… CY20… 2022 us-gaap USD CN- 2022-01-01
#> 9 1690080 180 LIFE SCIENCES CO… CY20… 2022 us-gaap USD US-CA 2022-01-01
#> 10 1599407 1847 HOLDINGS LLC CY20… 2022 us-gaap USD US-NY 2022-01-01
#> # ℹ 7,491 more rows
#> # ℹ 11 more variables: data.end <chr>, OperatingIncomeLoss <dbl>,
#> # GrossProfit <dbl>, revenue <dbl>, net_income <dbl>, change_NI <dbl>,
#> # change_R <dbl>, change_OI <dbl>, gross_margin <dbl>,
#> # operating_margin <dbl>, net_margin <dbl>