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Public Firm Bankruptcy Accounting Data
Finance & Banking Analytics
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About
This dataset is designed for bankruptcy prediction concerning American public companies. It includes detailed accounting data for companies listed on the New York Stock Exchange (NYSE) and NASDAQ from 1999 to 2018. The dataset identifies companies as bankrupt if their management filed for Chapter 11 (reorganisation) or Chapter 7 (cessation of operations) of the Bankruptcy Code. A label of '1' signifies bankruptcy in the fiscal year prior to filing, while '0' indicates normal operation. This dataset is notable for being complete, with no missing values, synthetic entries, or imputed additions.
Columns
- company_name: The name of the company. This column can be optionally removed.
- status_label: The target column indicating the company's status, either 'alive' or 'failed' (bankrupt).
- year: The fiscal year to which the accounting data corresponds, ranging from 1999 to 2018.
- X1 (Current assets): All assets expected to be sold or used in standard business operations within the next year.
- X2 (Cost of goods sold): The total amount paid directly related to the sale of products.
- X3 (Depreciation and amortisation): The loss of value of tangible (depreciation) and intangible (amortisation) fixed assets over time.
- X4 (EBITDA): Earnings before interest, taxes, depreciation, and amortisation, serving as a measure of overall financial performance.
- X5 (Inventory): The accounting of items and raw materials used in production or sold by the company.
- X6 (Net Income): The overall profitability of a company after all expenses and costs have been deducted from total revenue.
- X7 (Total Receivables): The balance of money owed to a firm for goods or services delivered or used but not yet paid for by customers.
- X8 (Market value): The price of an asset in a marketplace, specifically referring to market capitalisation for publicly traded companies.
- X9 (Net sales): The sum of a company's gross sales minus returns, allowances, and discounts.
- X10 (Total assets): All assets, or items of value, owned by a business.
- X11 (Total Long-term debt): A company's loans and other liabilities not due within one year of the balance sheet date.
- X12 (EBIT): Earnings before interest and taxes.
- X13 (Gross Profit): The profit a business makes after subtracting all costs related to manufacturing and selling its products or services.
- X14 (Total Current Liabilities): The sum of accounts payable, accrued liabilities, and taxes such as bonds payable at year-end, salaries, and commissions remaining.
- X15 (Retained Earnings): The amount of profit a company has left after paying all its direct costs, indirect costs, income taxes, and dividends to shareholders.
- X16 (Total Revenue): The income a business has made from all sales before subtracting expenses, potentially including interest and dividends from investments.
- X17 (Total Liabilities): The combined debts and obligations that the company owes to outside parties.
- X18 (Total Operating Expenses): The expenses a business incurs through its normal business operations.
Distribution
The data file is typically provided in a CSV format, with a sample file named
american_bankruptcy.csv being 11.25 MB. The dataset comprises a total of 78,682 observations of firm-year combinations. To aid in model development, the dataset is logically divided into three subsets based on time: a training set (1999-2011), a validation set (2012-2014), and a test set (2015-2018).Usage
This dataset is ideal for developing and evaluating predictive models for corporate bankruptcy. It can be used for:
- Financial risk assessment of public companies.
- Academic research into corporate financial distress and failure.
- Training and evaluating machine learning models to predict unseen bankruptcy cases.
- Analysing trends in company financial health over nearly two decades.
Coverage
The dataset covers 8,262 distinct American public companies listed on the New York Stock Exchange and NASDAQ. The data spans a time range from 1999 to 2018, providing accounting information for each fiscal year. The scope includes companies that either operated normally or filed for bankruptcy under Chapter 11 or Chapter 7, with the bankruptcy label applied to the fiscal year immediately prior to the filing.
License
CC0: Public Domain
Who Can Use It
This dataset is well-suited for a variety of users, including:
- Data scientists and machine learning engineers keen on building predictive models.
- Financial analysts and risk management professionals requiring data for assessing corporate financial stability.
- Researchers and academics studying corporate finance, insolvency, or economic trends.
- Students undertaking projects in business analytics, finance, or data science. Users can leverage this data to build early warning systems for financial distress or to understand the financial indicators preceding corporate failure.
Dataset Name Suggestions
- US Corporate Bankruptcy Predictor
- NYSE NASDAQ Financial Distress Data
- American Company Failure Dataset
- Public Firm Bankruptcy Accounting Data
- Corporate Insolvency Indicators (US)
Attributes
Original Data Source: Public Firm Bankruptcy Accounting Data
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