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Paytm Quarterly Performance Data
Finance & Banking Analytics
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About
Operational metrics and financial performance data for the Indian payment application 'Paytm' are provided, covering the period from June 2020 to December 2023. This dataset details key performance indicators such as transaction volumes, user engagement, merchant acquisitions, loan distribution, and profitability measures, offering insights into the company's growth and financial health over three years.
Columns
- Date: The date of the recorded data.
- Gross Merchandise Value (GMV): The total value of payments made to merchants via the Paytm app, in million US dollars.
- Merchant Transactions: The total count of transactions made to merchants through the Paytm app, in billions.
- Total Transaction: The sum of all merchant and non-merchant (person-to-person) transactions, in billions.
- Average Monthly Transacting Users (MTU): The number of unique merchants receiving a transaction through Paytm QR or a Paytm-issued device, in millions.
- Registered Merchants (end of period): The total number of registered merchant accounts, in millions.
- Payment Devices: The cumulative number of Paytm POS devices and Soundboxes deployed at in-store merchants, in millions.
- Volume of Loan Distributed: The total number of loans distributed to users (including Postpaid, Personal, and Merchant loans), in thousands.
- Postpaid Loans: The total number of postpaid loans distributed, in thousands.
- Personal Loans: The total number of personal loans distributed, in thousands.
- Merchant Loans: The total number of merchant loans distributed, in thousands.
- Value of loans distributed: The total value of all loans distributed (including Postpaid, Personal, and Merchant loans), in million US dollars.
- Postpaid Loans (Value): The value of postpaid loans distributed, in million US dollars.
- Personal Loans (Value): The value of personal loans distributed, in million US dollars.
- Merchant Loans (Value): The value of merchant loans distributed, in million US dollars.
- EBITDA Loss: A measure of the company's operating profitability before interest, taxes, depreciation, and amortization, in million US dollars.
- Net payment margin: The margin calculated by subtracting payment processing costs from payment transaction revenue, in million US dollars.
Distribution
The dataset is provided in a CSV file format named
paytm_ir - Sheet2.csv. It contains 17 columns and 15 rows of data. The Net Payments Margin column has four missing values.Usage
This dataset is ideal for financial analysis, business intelligence, and market research. It can be used to track Paytm's performance over time, analyse trends in digital payments in India, assess the growth of its lending business, and build predictive models for key financial metrics.
Coverage
The data covers the operational and financial metrics for Paytm in India. The time range for the data spans from June 2020 to December 2023.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts can use this data to assess Paytm's financial health, profitability, and growth trajectory.
- Business Strategists can analyse trends in user engagement and merchant adoption to inform market strategy.
- Data Scientists can build forecasting models for transaction volumes, revenue, and other key performance indicators.
- Market Researchers can study the evolution of the digital payments and fintech lending market in India.
Dataset Name Suggestions
- Paytm Financial & Operational Metrics 2020-2023
- Paytm Quarterly Performance Data
- Indian Digital Payments: Paytm Metrics
- Paytm User and Transaction Trends
Attributes
Original Data Source: Paytm Quarterly Performance Data
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