Between January 2010 and June 2025, the total market capitalization of domestic companies listed on the Australian Securities Exchange (ASX) grew from **** trillion Australian dollars to **** trillion Australian dollars. While the overall trend was upward, the growth curve was far from linear. The two most notable periods of decline were from March to September 2011, and the crash of March 2020 caused by the global coronavirus (COVID-19) pandemic.

ASX Market Capitalization data was reported at 2,902,032.000 AUD mn in Mar 2025. This records a decrease from the previous number of 3,024,358.000 AUD mn for Feb 2025. ASX Market Capitalization data is updated monthly, averaging 2,902,032.000 AUD mn from Jan 2024 (Median) to Mar 2025, with 15 observations. The data reached an all-time high of 3,129,246.000 AUD mn in Jan 2025 and a record low of 2,793,267.000 AUD mn in Dec 2024. ASX Market Capitalization data remains active status in CEIC and is reported by Australian Securities Exchange. The data is categorized under Global Database’s Australia – Table AU.Z002: Australian Stock Exchange: Market Capitalization.

As of October 10, 2024, the largest company listed on the Australian stock exchange was Commonwealth Bank, with a total market capitalization of nearly ****billion Australian dollars. The financial sector dominated the list of the largest Australian domestic companies, with **** of the top 10 companies being either retail or investment banking groups.

Australian Securities Exchange reported AUD13.74B in Market Capitalization this July of 2025, considering the latest stock price and the number of outstanding shares.Data for Australian Securities Exchange | ASX - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last July in 2025.

ASE Technology Holding market cap as of June 18, 2025 is $17.84B. ASE Technology Holding market cap history and chart from 2010 to 2025. Market capitalization (or market value) is the most commonly used method of measuring the size of a publicly traded company and is calculated by multiplying the current stock price by the number of shares outstanding.

Stock market capitalization to GDP (%) in Australia was reported at 130 % in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Stock market capitalization to GDP - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The New York Stock Exchange (NYSE) is the largest stock exchange in the world, with an equity market capitalization of almost ** trillion U.S. dollars as of June 2025. The following three exchanges were the NASDAQ, PINK Exchange, and the Frankfurt Exchange. What is a stock exchange? A stock exchange is a marketplace where stockbrokers, traders, buyers, and sellers can trade in equities products. The largest exchanges have thousands of listed companies. These companies sell shares of their business, giving the general public the opportunity to invest in them. The oldest stock exchange worldwide is the Frankfurt Stock Exchange, founded in the late sixteenth century. Other functions of a stock exchange Since these are publicly traded companies, every firm listed on a stock exchange has had an initial public offering (IPO). The largest IPOs can raise billions of dollars in equity for the firm involved. Related to stock exchanges are derivatives exchanges, where stock options, futures contracts, and other derivatives can be traded.

Advanced Semiconductor Engineering reported $22.48B in Market Capitalization this July of 2025, considering the latest stock price and the number of outstanding shares.Data for Advanced Semiconductor Engineering | ASX - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last July in 2025.

As of June 2025, the Breville Group was the leading company in the consumer durables and apparel segment on the Australian Securities Exchange (ASX) in Australia, boasting a market capitalization of approximately **** billion Australian dollars. AVJennings Limited followed, with a market cap of around ****** million Australian dollars.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

ASX 200: Poised for a Record-Breaking Ascent?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Zip reported AUD3.1B in Market Capitalization this July of 2025, considering the latest stock price and the number of outstanding shares.Data for Zip | Z1P - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Woolworths Group was the leading consumer staples company listed on the Australian Securities Exchange (ASX) as of July 2025, with a market capitalization of approximately **** billion Australian dollars. Trailing behind, with a market cap of around **** billion Australian dollars, was supermarket rival, Coles Group.

With a market capitalization of **** billion Australian dollars as of February 2024, Treasury Wine Estates was the leading food, beverage, and tobacco company listed on the Australian Securities Exchange (ASX) in Australia. In addition, Treasury Wine Estates held a spot among the top five consumer staple companies listed on the ASX.

Treasury Wine Estates’ global reach

With their corporate head offices located in Melbourne and regional offices on four different continents, Treasury Wine Estates operates nearly ****** planted hectares worldwide. Annual total revenues of Treasury Wine Estates in Australia have increased substantially since 2014, with the company generating significant revenues from regions across the globe.

A booming Australian wine market

As one of the world’s leading producers of wine, the alcoholic beverage plays an important role in Australia’s economy. Both the revenue of the wine production industry as well as the total export value of wine from Australia are projected to increase in the coming years.

Australian Securities Exchange is Australia's primary securities exchange and is one of the largest listed exchange groups by market capitalization.

As of September 2023, Block, Inc was the largest Buy Now, Pay Later (BNPL) company listed on the Australian Securities Exchange (ASX) with a market capitalization of over 44.6 billion Australian dollars. At the end of January 2022, U.S. payment firm Block, Inc acquired the Australian market leader Afterpay Limited.

Afterpay’s business model

Founded in Australia in 2014, Afterpay offers a BNPL service that allows both in-store and online customers to purchase a product immediately while paying it off in installments. Afterpay’s income consists of processing fees from the merchant, and late payment fees from the consumer. In Australia and New Zealand, the company’s segment income in the 2021 financial year reached 427 million Australian dollars, with the number of active customers in the millions.

BNPL’s wide reach

BNPL services are widely used in Australia with users stating convenience of use as a main reason for using BNPL as a payment option. Australia was one of the leading countries globally in terms of BNPL's market share of domestic e-commerce payments. As of early 2021, the large majority of Australian consumers were at least aware of BNPL as a payment option, with the service looking likely to remain as a viable payment option into the future.

The Australian Securities Exchange (ASX) was established in July 2006 after the Australian Stock Exchange merged with the Sydney Futures Exchange, making it one of the top 20 global exchange groups by market capitalization. ASX facilitates trading in leading stocks, ETFs, derivatives, fixed income, commodities, and energy, commanding over 80% of the market share in the Australian Cash Market, with the S&P/ASX 200 as its main index. We offer comprehensive real-time market information services for all instruments in the ASX Level 1 and Level 2 (full market depth) products, and also provide Level 1 data as a delayed service. You can access this data through various means tailored to your specific needs and workflows, whether for trading via electronic low latency datafeeds, using our desktop services equipped with advanced analytical tools, or through our end-of-day valuation and risk management products.

Star Entertainment reported AUD343.98M in Market Capitalization this July of 2025, considering the latest stock price and the number of outstanding shares.Data for Star Entertainment | SGR - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last July in 2025.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

ASX 200 to See Modest Gains Amid Global Uncertainty, Experts Say.

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The Goodman Group was the leading real estate company listed on the Australian Securities Exchange (ASX) as of June 2025, with a market cap of around ***** billion Australian dollars. The Scentre Group followed with a market cap of around ***** billion Australian dollars.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Will the ASX 200 Index Continue its Ascent?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data