Earnings Inspector is a free service for journalists and citizens to highlight companies suspected of producing fraudulent earnings reports. Our goal is to make the methods of financial statement analysis more accessible to the world of business journalism. It will make the most important data available, explain it and inspire journalists and ordinary citizens to start their own investigation.
This project is funded by a Magic Grant from the Brown Institute for Media Innovation. The Brown Institute is a joint research program between the Columbia University Graduate School of Journalism in New York City and the Stanford School of Engineering in California.
The data we are using comes from the Securities and Exchange Commission. It is gathered through an API available on Kimono.
We might be missing information on some companies or some variables which explains that certain metrics will return an error for some companies.
Earnings Inspector was developed by Joshua Martin.
Caelainn Barr (@caelainnbarr) currently works as a journalist on the Data Projects team at the Guardian. She is a 2014 graduate of the Columbia Journalism School and a Stabile Investigative Fellow.
Daniel Drepper (@danieldrepper) is a founding member of Correct!v, Germany’s first non-profit investigative newsroom. He is a 2014 graduate of the Columbia Journalism School and a Stabile Investigative Fellow.
Cécile Schilis-Gallego (@csgallego) currently works as a data journalist for the International Consortium of Investigative Journalists. She is a 2014 graduate of the Columbia Journalism School and a Stabile Investigative Fellow.
Design by Álvaro Ortiz.