Top 12 German Companies

This dataset encapsulates the financial records of 12 leading German companies, presenting a detailed compilation of quarterly data from 2017 to 2024. The dataset features top-tier corporations such as Volkswagen AG, Siemens AG, Allianz SE, BMW AG, BASF SE, Deutsche Telekom AG, Daimler AG, SAP SE, Bayer AG, Deutsche Bank AG, Porsche AG, and Merck KGaA. It offers an extensive view into critical financial metrics, fostering comprehensive analysis and modeling of corporate financial health, performance trends, and growth trajectories.

Designed for various analytical applications, this dataset is an invaluable resource for financial forecasting, risk analysis, profitability assessment, and performance benchmarking. Each record represents a single quarter's financial snapshot for a specific company, enabling users to conduct robust time-series analysis and cross-sectional evaluations. The dataset provides granular insights into revenue generation, profitability, asset management, and financial leverage, supporting informed decision-making and strategic planning.

Data Fields and Their Significance:
Company: This field identifies the company associated with the financial data, such as "Volkswagen AG" or "Siemens AG." It categorizes the data for cross-company comparisons and trend analysis of individual organizations.

Period: Representing the specific quarter in year-month format (e.g., "2017-03-31" for Q1 2017), this field is critical for tracking temporal trends in financial performance, allowing users to analyze year-over-year or quarter-over-quarter changes.

Revenue: Captured in billions of Euros, revenue reflects the total sales performance of a company for the given quarter. It provides insights into the company’s market reach and the demand for its products or services during each period.

Net Income: Expressed in billions of Euros, net income denotes the company’s profit after all expenses for the quarter. This metric is a cornerstone of profitability analysis, reflecting the financial efficiency and success of operational strategies.

Liabilities: Recorded in billions of Euros, liabilities represent the total debt and obligations of a company for a specific quarter. This data is essential for understanding the company’s financial leverage and assessing its exposure to financial risks.

Assets: Assets, measured in billions of Euros, encompass all resources owned by a company with economic value. This metric reflects the scale and capacity of the company’s operations and investments, serving as a benchmark for evaluating organizational size and financial resourcefulness.

Equity: Equity is calculated as Assets minus Liabilities and is expressed in billions of Euros. This metric represents the residual value available to shareholders, offering insights into financial stability and value creation within the organization.

ROA (Return on Assets): ROA, expressed as a percentage, is derived from the formula
(
Net Income
/
Assets
)
×
100
(Net Income/Assets)×100. It measures the company’s ability to generate profit from its assets, providing a lens into operational efficiency.

ROE (Return on Equity): Calculated as
(
Net Income
/
Equity
)
×
100
(Net Income/Equity)×100, ROE, expressed as a percentage, highlights the profitability of a company from shareholders' investments, serving as a key performance indicator.

Debt to Equity Ratio: This ratio, representing the proportion of Liabilities to Equity, sheds light on the company’s capital structure. It is crucial for understanding financial leverage, revealing the balance between debt financing and shareholder equity in the company's operations.

This comprehensive dataset is tailored to meet the needs of analysts, researchers, and industry professionals, facilitating in-depth studies and decision-making processes. By encompassing a diverse range of financial metrics over an extended time frame, it provides a rich foundation for examining the dynamics of corporate performance in one of the world's most robust economies.