Populating the most important financial metrics for popular stocks. Here, you'll find data on important financial indicators, such as price-to-earnings ratios, dividend yields, but also basics, like Revenue, Net Profit, Stock-Based Compensation and Free Cashflow...
The data is structured in two different ways - one for the quarterly financials {company-ticker}.json and one for the annual financials {company-ticker}-anno.json or {company-ticker}.json for both in one file.
Here is an example, how the data looks like:
tsla.json
...
{
"assets": 31872597000,
"cash": 4954740000,
"cashflow": -697067000,
"capEx": 249609000,
"ceo": "Elon R. Musk",
"date": "2019-06-30",
"debt": 9905847000,
"depreciationAndAmortization": 0,
"dividendPayoutRatio": 0,
"dividendPerShare": 0,
"ebit": -216924000,
"ebitda": 417076000,
"employees": 0,
"eps": -0.15197167565713815,
"fiscalYear": 2019,
"fiscalQuarter": 2,
"grossMargin": 0,
"grossProfit": 921046000,
"incomeTax": 19431000,
"interestExpense": 171979000,
"netIncome": -408334000,
"netMargin": -6.430784814847246,
"operatingIncome": -167458000,
"operatingMargin": -0.0263726842125488,
"researchAndDev": 323898000,
"returnOnAssets": -0.012811444263547148,
"returnOnCapitalEmployed": 0,
"returnOnEquity": -0.07144460582150694,
"returnOnInvestedCapital": 0,
"revenue": 6349676000,
"revenueSegments": {
"products": {
"0": "Model S/X",
"1": "Model 3/Y"
},
"productsSold": {
"0": 14517,
"1": 72531
}
},
"shareholderEquity": 5715393000,
"sharesOutstanding": 2686908585,
"stockBasedCompensation": 209863000,
"ticker": "TSLA"
}
...
Please help to complete the Dataset as complete as possible. If you want to include a company, which is not already included or correct/add additional data, please create a PR.