Australia's main stock market index, the ASX200, fell to 8881 points on August 18, 2025, losing 0.65% from the previous session. Over the past month, the index has climbed 2.45% and is up 11.28% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Australia. Australia Stock Market Index - values, historical data, forecasts and news - updated on August of 2025.

Australia's main stock market index, the ASX200, fell to 8908 points on August 18, 2025, losing 0.34% from the previous session. Over the past month, the index has climbed 2.77% and is up 11.62% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Australia. Australia Stock Market Index - values, historical data, forecasts and news - updated on August of 2025.

The report covers Australia C4ISR Companies and the market is Segmented by Platform (Land, Air, Naval, and Space) . The report offers market size and forecasts in value (USD Million) for the above segment.

The S&P/ASX 200 index, the most prominent index of stocks listed on the Australian Securities Exchange (ASX), lost over one fifth of its value between the end of February and the end of March 2020, owing to the economic impact of the global coronavirus (COVID-19) pandemic. It has since recovered, and surpassed its pre-corona level in April 2021. Despite fluctuations, it reached its highest value in June 2025 at 8542.3 during this period.The S&P/ASX 200 index is considered the benchmark index for the Australian share market and contains the 200 largest companies listed on the ASX.

Key information about Australia S&P/ASX 200

• Australia S&P/ASX 200 closed at 8,172.4 points in Feb 2025, compared with 8,532.3 points at the previous month end
• Australia Equity Market Index: Month End: ASX: S&P/ASX 200 data is updated monthly, available from May 1992 to Feb 2025, with an average number of 4,604.3 points
• The data reached an all-time high of 8,532.3 points in Jan 2025 and a record low of 1,428.8 points in Oct 1992

The S&P/ASX 200 Index (XJO) is recognised as the investable benchmark for the Australian equity market, it addresses the needs of investment managers to benchmark against a portfolio characterised by sufficient size and liquidity. The S&P/ASX 200 is comprised of the S&P/ASX 100 plus an additional 100 stocks. It forms the basis for the S&P/ASX 200 Index Future and Options and the SPDR S&P/ASX 200 Exchange Traded Fund (ETF)

Australia's main stock market index, the ASX200, fell to 8829 points on August 13, 2025, losing 0.59% from the previous session. Over the past month, the index has climbed 3.02% and is up 12.46% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Australia. Australia Stock Market Index - values, historical data, forecasts and news - updated on August of 2025.

Australia ASX Index: S&P/ASX 300 data was reported at 8,060.900 Point in Apr 2025. This records an increase from the previous number of 7,782.100 Point for Mar 2025. Australia ASX Index: S&P/ASX 300 data is updated monthly, averaging 4,617.150 Point from May 1992 (Median) to Apr 2025, with 396 observations. The data reached an all-time high of 8,460.400 Point in Jan 2025 and a record low of 1,419.300 Point in Oct 1992. Australia ASX Index: S&P/ASX 300 data remains active status in CEIC and is reported by Australian Securities Exchange. The data is categorized under Global Database’s Australia – Table AU.Z001: Australian Stock Exchange: Indices. The S&P/ASX 300 Index (XKO) provides additional depth and coverage to the S&P/ASX 200 whilst maintaining strict liquidity guidelines. It provides up to an additional 100 small-cap stocks to the S&P/ASX 200. The S&P/ASX 300 Index forms the basis for the Vanuard Australian Shares Index 300 Exchange Traded Fund (ETF).

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.

Stock market return (%, year-on-year) in Australia was reported at 19.3 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Australia - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Australia Rolling Stock Market, Australia Rolling Stock Market Size, Australia Rolling Stock Market Trends, Australia Rolling Stock Market Forecast, Australia Rolling Stock Market Risks, Australia Rolling Stock Market Report, Australia Rolling Stock Market Share

Key information about Australia Market Capitalization

• Australia Market Capitalization accounted for 1,878.429 USD bn in Feb 2025, compared with a percentage of 1,953.275 USD bn in the previous month
• Australia Market Capitalization is updated monthly, available from Jan 1985 to Feb 2025
• The data reached an all-time high of 2,088.660 USD bn in Sep 2024 and a record low of 46.183 USD bn in Feb 1985

CEIC converts monthly Market Capitalization into USD. Australian Securities Exchange provides Market Capitalization in local currency. The Federal Reserve Board period end market exchange rate is used for currency conversions. Market Capitalization prior to January 2024 includes only domestically listed companies.

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.

AR3 AUSTRALIAN RARE EARTHS LIMITED

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

Australia's main stock market index, the ASX200, fell to 8889 points on August 18, 2025, losing 0.56% from the previous session. Over the past month, the index has climbed 2.55% and is up 11.38% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Australia. Australia Stock Market Index - values, historical data, forecasts and news - updated on August of 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.

AHF AUSTRALIAN DAIRY NUTRITIONALS GROUP

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

Australia Data Center Power Market Report Segments the Industry Into Component (Electrical Solutions, Service), Data Center Type (Hyperscaler/Cloud Service Providers and More), Data Center Size(Small-Sized Data Centers, Medium-Sized Data Centers, and More), and Tier Level (Tier I and II and More). The Market Forecasts are Provided in Terms of Value (USD).

Accessories in Australia – Sector Overview, Brand Shares, Market Size and Forecast to 2025 provides both the historic and forecast market data of total apparel sales, and the accessories market in Australia. It illustrates the data with charts, graphs and tables summarizing the value and volume trends, with category details in accessories. The forecasts include the impact of COVID-19 on growth. The report also reveals major brand’s share in apparel & accessories with their price and market positioning in 2020. Read More

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.

ASQ AUSTRALIAN SILICA QUARTZ GROUP LTD

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

Australia real estate market size reached USD 206.8 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 305.8 Billion by 2033, exhibiting a growth rate (CAGR) of 3.99% during 2025-2033. The market is mainly driven by the rising population growth, economic stability and low interest rates on property purchase. Sustainable buildings, mixed-use developments and increased preference for online site visits and virtual tours are further contributing to the market growth.

Report Attribute	Key Statistics
Base Year	2024
Forecast Years	2025-2033
Historical Years	2019-2024
Market Size in 2024	USD 206.8 Billion
Market Forecast in 2033	USD 305.8 Billion
Market Growth Rate (2025-2033)	3.99%

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country and regional levels for 2025-2033. Our report has categorized the market based on property, business, and mode.

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.

GDA GOOD DRINKS AUSTRALIA LTD

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 Australia Air Source Heat Pump Market was valued at USD 872.23 Million in 2024 and is expected to reach USD 1409.92 Million by 2030 with a CAGR of 8.43%

Pages	70
Market Size	2024: USD 872.23 Million
Forecast Market Size	2030: USD 1409.92 Million
CAGR	2025-2030: 8.43%
Fastest Growing Segment	Online
Largest Market	Queensland
Key Players	1. Stiebel Eltron (Aust) Pty Ltd 2. Daikin Australia Pty Ltd 3. Rheem Australia Pty Ltd 4. Aquamax Australia Pty. Limited 5. Robert Bosch (Australia) Pty Ltd 6. Evo Industries Australia Pty Ltd. 7. Smart Lifestyle Australia Pty Ltd 8. Rinnai Australia Pty Ltd 9. Solargain Pty Ltd (iStore) 10. Mitsubishi Electric Australia Pty Ltd.