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BMW Long-Term Financial Data

Stock & Market Data

Tags and Keywords

Stock

Bmw

Finance

Investing

Daily

Trusted By
Trusted by company1Trusted by company2Trusted by company3
BMW Long-Term Financial Data Dataset on Opendatabay data marketplace

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Free

About

Offering historical stock data for Bayerische Motoren Werke AG (BMW), this collection provides detailed daily insights into the company's financial journey spanning over 28 years. It is designed to assist in understanding long-term market movements, financial performance, and key trading trends.

Columns

  • Date: Records the specific trading date for the entry.
  • Open: The stock price recorded at the start of the trading day.
  • High: The highest stock price reached during the trading day.
  • Low: The lowest stock price recorded during the trading day.
  • Close: The stock price at the end of the trading day.
  • Adj Close: The adjusted closing price, taking into account any splits or dividends.
  • Volume: The total number of shares traded on the specified date.

Distribution

The data product is provided in the CSV (Comma-Separated Values) file format, which is compact and efficient for processing. It contains 7 columns and 7,212 valid daily records. The file size is 555.83 kB. This dataset is static and does not have an expected update frequency.

Usage

  • Analyze historical stock trends over specific decades.
  • Perform technical analysis utilising methods like moving averages, such as plotting 50-day, 100-day, and 200-day averages, or using Bollinger bands.
  • Construct machine learning models for forecasting future stock prices.
  • Optimise financial portfolios and conduct backtesting exercises against historical market performance.
  • Analyze trading activity patterns using the volume metrics.

Coverage

This dataset covers the daily stock prices and trading volume for Bayerische Motoren Werke AG. The temporal scope ranges from November 1996 through to December 2024.

License

CC0: Public Domain

Who Can Use It

  • Financial Analysts: For studying long-term market trends and identifying historical volatility.
  • Data Scientists: For creating predictive stock market models and testing algorithms.
  • Investors: For strategy backtesting and informing portfolio allocation decisions.
  • Academic Researchers: For investigating historical automotive industry financial behaviour.

Dataset Name Suggestions

  • BMW Historical Stock Prices (1996-2024)
  • BMW Daily Equity Data
  • Bayerische Motoren Werke AG Stock History

Attributes

Original Data Source: BMW Long-Term Financial Data

Listing Stats

VIEWS

1

DOWNLOADS

0

LISTED

07/10/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format