Dataframe: P0:compa - Compustat Annual#

Compustat Annual#

This dataset contains annual financial statement data from Compustat.

DataFrame Glimpse#

Rows: 58709
Columns: 48
$ gvkey                <str> '369350'
$ datadate    <datetime[ns]> 2024-12-31 00:00:00
$ fyear                <i64> 2024
$ csho                 <f64> null
$ at                   <f64> 5715.961
$ pstkl                <f64> 0.0
$ txditc               <f64> 308.523
$ pstkrv               <f64> 0.0
$ seq                  <f64> 2876.098
$ pstk                 <f64> 0.0
$ ppegt                <f64> 5678.69
$ invt                 <f64> 952.488
$ lt                   <f64> 2816.05
$ sich                 <i64> 2024
$ ib                   <f64> 599.446
$ oancf                <f64> 1152.303
$ act                  <f64> 1686.524
$ dlc                  <f64> 88.002
$ che                  <f64> 72.472
$ lct                  <f64> 2100.649
$ dvc                  <f64> 0.0
$ epspi                <f64> 0.98
$ epspx                <f64> 0.98
$ ajex                 <f64> 1.0
$ sale                 <f64> 8227.629
$ ao                   <f64> 137.697
$ prcc_f               <f64> null
$ ps                   <f64> 0.0
$ be                   <f64> 3184.621
$ act_ch               <f64> 14.135999999999967
$ dlc_ch               <f64> 7.311999999999998
$ che_ch               <f64> 14.993999999999993
$ lct_ch               <f64> -61.40700000000015
$ acc                  <f64> 67.86100000000013
$ at_l1                <f64> 5828.486
$ at_avg               <f64> 5772.2235
$ ag                   <f64> -0.019306042769940523
$ ppegt_diff           <f64> -68.0010000000002
$ ao_diff              <f64> -32.52600000000001
$ sale_l1              <f64> 8420.521
$ sale_l3              <f64> null
$ sale_l5              <f64> null
$ sg_1y                <f64> -0.022907371170976187
$ sg_3y                <f64> null
$ sg_5y                <f64> null
$ adj_csho             <f64> null
$ adj_csho_l1          <f64> null
$ nsi                  <f64> null


Dataframe Manifest#

Dataframe Name

Compustat Annual

Dataframe ID

compa

Data Sources

WRDS

Data Providers

Compustat

Links to Providers

https://wrds-www.wharton.upenn.edu/

Topic Tags

Fundamentals, Accounting

Type of Data Access

S,u,b,s,c,r,i,p,t,i,o,n

How is data pulled?

WRDS API via Python

Data available up to (min)

2025-12-31 00:00:00

Data available up to (max)

2025-12-31 00:00:00

Dataframe Path

/Users/yandong/Documents/GitHub/p02_van_binsbergen_han_lopez-lira_2022/_data/compa.parquet

Linked Charts:

Pipeline Manifest#

Pipeline Name

Man vs. Machine Learning

Pipeline ID

P0

Lead Pipeline Developer

Dong Yan, Yilong Lin

Contributors

Dong Yan, Yilong Lin

Git Repo URL

Pipeline Web Page

Pipeline Web Page

Date of Last Code Update

2026-02-06 15:21:11

OS Compatibility

Linked Dataframes

P0:crsp_m
P0:compa
P0:ibes_forecast
P0:ff_factors
P0:fred