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Historical Automotive Stock Performance Data

Stock & Market Data

Tags and Keywords

Automakers

Stocks

Finance

Investing

Market

Trusted By
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Historical Automotive Stock Performance Data Dataset on Opendatabay data marketplace

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Free

About

Historical daily stock prices are provided for the top 48 automakers globally, spanning from 2010 to 2022. This collection of data allows for an exploration of stock price performance and market capitalisation trends within the automotive industry over a significant period. It is designed for analysis in finance, business, and investment research, offering insights into the market dynamics of leading vehicle manufacturers.

Columns

  • Rank: The ranking of the automaker.
  • Name: The name of the company.
  • Symbol: The stock symbol for the company, as used on Yahoo Finance.
  • marketcap: The market capitalisation of the company in US Dollars (USD).
  • price (USD): The stock price in US Dollars (USD).
  • country: The country where the company is based.

Distribution

The data is provided in a CSV file format named Largest automakers by market capitalization.csv, with a file size of 2.82 kB. The dataset contains information for 48 different companies.

Usage

Ideal applications for this data include financial market analysis, investment strategy development, academic research on the automotive sector, and competitive business intelligence. It can be used to track the performance of top automakers, compare their market valuations, and analyse long-term industry trends.

Coverage

The data covers a time range from 2010 to 2022. Geographically, it includes automakers from 14 different countries, with the United States and China being the most represented.

License

CC0: Public Domain

Who Can Use It

  • Financial Analysts can use this data to perform trend analysis and evaluate the stock performance of major automotive companies.
  • Investors can leverage the historical data to inform their investment decisions and portfolio strategies related to the auto industry.
  • Data Scientists can apply various modelling techniques to forecast stock prices or identify market patterns.
  • Academic Researchers can study the economic factors influencing the global automotive market over the specified twelve-year period.

Dataset Name Suggestions

  • Global Automakers Stock Market Data 2010-2022
  • Top 48 Automakers Stock Prices (2010-2022)
  • Historical Automotive Stock Performance Data
  • Vehicle Manufacturers Market Capitalisation & Stock Data

Attributes

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

17/09/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in ZIP Format