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Nifty 500 Quarterly Financial Metrics
Finance & Banking Analytics
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About
Provides quarterly results for major companies listed on the Indian stock exchange. This dataset focuses on the financial performance of companies included in the Nifty 500 Index. The Nifty 500 Index is designed to reflect the activities of the 500 largest publicly traded companies on the National Stock Exchange of India (NSE), encompassing large, mid, and small-cap segments across various sectors of the Indian economy. It allows for detailed analysis of corporate earnings, profitability metrics, and overall market movements.
Columns
The dataset includes 17 financial and descriptive metrics:
- Name: The official name of the company.
- NSE Code: The trading code used on the National Stock Exchange.
- BSE Code: The trading code used on the Bombay Stock Exchange.
- Sector: The general classification of the company's business activities.
- Industry: A more detailed classification of the specific line of business.
- Revenue: Total income generated by the company during the quarter.
- Operating Expenses: Costs incurred during core day-to-day operations.
- Operating Profit: Profit derived from core operations after deducting operating expenses.
- Operating Profit Margin: The proportion of revenue translated into operating profit, showing operational efficiency.
- Depreciation: The allocated cost representing the decrease in value of assets over the period.
- Interest: Costs associated with borrowing, such as payments on loans.
- Profit Before Tax: Profit calculated prior to the deduction of income tax.
- Tax: The income tax expense for the quarter.
- Net Profit: The final profit remaining after deducting all expenses.
- Earnings Per Share (EPS): The portion of profit allocated to each outstanding common share.
- Net Profit TTM (Trailing 12 Months): The sum of net profits over the most recent 12-month period.
- EPS TTM (Trailing 12 Months): Earnings per share calculated over the trailing 12-month period.
Distribution
The data file is in CSV format. It contains 17 columns detailing company financials. The dataset generally includes 501 unique entities. Most financial columns have 500 valid records, indicating one record is missing. The Trailing 12 Months (TTM) metrics have 498 valid records, with three records missing.
Usage
This data is ideally suited for financial modelling, tracking investment recommendations from brokers, developing algorithms for share price forecasting, and conducting quantitative analysis. It is foundational for market research, data visualization projects focusing on financial trends, and training artificial intelligence models for investment decision support.
Coverage
The data focuses exclusively on the Indian economy, covering companies listed on the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) that comprise the Nifty 500 Index. The scope includes 500 of the largest publicly traded companies, spanning multiple market capitalisation segments. The data represents quarterly results, and the expected update frequency is annually.
License
CC0: Public Domain
Who Can Use It
Intended users include financial analysts who require detailed corporate earnings data for reporting, quantitative investors designing sophisticated trading strategies, data scientists building predictive models based on financial performance, and academic researchers studying market efficiency and sector profitability trends within India.
Dataset Name Suggestions
- Nifty 500 Quarterly Financial Metrics
- Indian Corporate Earnings Dataset
- NSE 500 Quarterly Results Analysis
- India Top Stock Performance Data
Attributes
Original Data Source: Nifty 500 Quarterly Financial Metrics
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