Singapore's main stock market index, the STI, rose to 4120 points on July 15, 2025, gaining 0.26% from the previous session. Over the past month, the index has climbed 5.41% and is up 18.12% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Singapore. Singapore Stock Market (STI) - values, historical data, forecasts and news - updated on July of 2025.

Explore LSEG's Singapore Stock Exchange data, offering information across key segments including Equities and Fixed Income, Derivatives, and Corporate.

Stock market turnover ratio (%) in Singapore was reported at 16.38 % in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. Singapore - Stock market turnover ratio - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Key information about Singapore FTSE Strait Times

• Singapore FTSE Strait Times closed at 3,895.7 points in Feb 2025, compared with 3,855.8 points at the previous month end
• Singapore Equity Market Index: Month End: FTSE Strait Times data is updated monthly, available from Jan 1985 to Feb 2025, with an average number of 2,122.9 points
• The data reached an all-time high of 3,895.7 points in Feb 2025 and a record low of 465.1 points in Apr 1986

Further information about Singapore FTSE Strait Times

• In the latest reports, FTSE All Share recorded a monthly P/E ratio of 13.2 in Jun 2022

Stock market return (%, year-on-year) in Singapore was reported at 14.65 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Singapore - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

As of September 11, 2024, the largest company in Singapore is the DBS Group, with a market capitalization of ***** billion Singapore dollars. The largest three companies in Singapore by market capitalization were two of its largest banks, followed by consumer internet company Sea Limited. DBS, OCBC, and UOB - stalwarts of Singapore’s financial sector Singapore’s three largest banking groups – DBS Group, OCBC, and UOB, are seen as stable stock market investments. They routinely make up the top three leading companies by market capitalization and rank consistently among the most valuable brands in Singapore. Despite the global economic turmoil, these three banks were forecast to turn profits in 2023, being among the biggest beneficiaries of rising interest rates in the Asia-Pacific region. Singapore is a leading financial hub in the Asia-Pacific region, and its financial sector makes up the third-largest sector of its economy. Sea Limited and Grab - volatility of tech companies in the stock market Among the largest companies in Singapore are two of its biggest tech companies, Sea Limited and Grab Holdings. Sea Limited operates the e-commerce marketplace Shopee and online gaming company Garena, while Grab Holdings is a super-app that provides ride-hailing, food delivery, and digital payment services. Despite the popularity of their services, both companies have faced a turbulent year, with Grab Holdings seeing their share prices drop during the first day of trading. Once valued more than DBS, OCBC, and UOB combined, Sea Limited saw its valuation drop in 2022 amidst net losses of around *** billion U.S. dollars in 2021.

Stock price volatility in Singapore was reported at 18.39 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Singapore - Stock price volatility - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Singapore: Stock market value traded w/o top 10 firms, % of total value traded: The latest value from 2017 is 57.83 percent, a decline from 58.02 percent in 2016. In comparison, the world average is 50.89 percent, based on data from 36 countries. Historically, the average for Singapore from 1998 to 2017 is 62.47 percent. The minimum value, 40.75 percent, was reached in 2010 while the maximum of 81.9 percent was recorded in 2000.

Key information about Singapore Market Capitalization

• Singapore Market Capitalization accounted for 644.807 USD bn in Jan 2025, compared with a percentage of 633.803 USD bn in the previous month
• Singapore Market Capitalization is updated monthly, available from Jan 1999 to Jan 2025
• The data reached an all-time high of 821.273 USD bn in Jul 2014 and a record low of 161.500 USD bn in Jan 1999

CEIC converts monthly Market Capitalization into USD. The Monetary Authority of Singapore provides Market Capitalization in local currency. The Federal Reserve Board period end market exchange rate is used for currency conversions.

Key information about Singapore Market Capitalization: % of GDP

• Singapore Market Capitalization accounted for 118.4 % of its Nominal GDP in Dec 2024, compared with a percentage of 118.2 % in the previous year
• Singapore Market Capitalization: % Nominal GDP is updated yearly, available from Dec 1979 to Dec 2024
• The data reached an all-time high of 322.0 % in Dec 1999 and a record low of 57.8 % in Dec 1985

CEIC calculates annual Market Capitalization as % of Nominal GDP from monthly Market Capitalization and annual Nominal GDP. The Monetary Authority of Singapore provides Market Capitalization in local currency. The Ministry of Trade and Industry provides Nominal GDP in local currency. Market Capitalization as % of Nominal GDP prior to 1999 is sourced from the World Bank.


Further information about Singapore Market Capitalization: % of GDP

• In the latest reports, FTSE All Share recorded a monthly P/E ratio of 13.2 in Jun 2022
• FTSE Strait Times closed at 3,855.8 points in Jan 2025

Sweetgreen's revenue is projected to grow significantly due to increased demand for healthy and convenient food options. This growth is supported by the company's expansion into new markets and the introduction of new menu items. However, the company faces risks associated with supply chain disruptions, changes in consumer preferences, and increased competition.

Singapore: Stock market capitalization w/o top 10 firms, percent of total market cap: The latest value from 2017 is 51.32 percent, a decline from 73.47 percent in 2016. In comparison, the world average is 48.03 percent, based on data from 37 countries. Historically, the average for Singapore from 1998 to 2017 is 59.39 percent. The minimum value, 40 percent, was reached in 2001 while the maximum of 74.33 percent was recorded in 2011.

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.

SG Stock: Set a stop-loss order

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

Stock market capitalization to GDP (%) in Singapore was reported at 189 % in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Singapore - Stock market capitalization to GDP - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Singapore SG: Index: Share Price data was reported at 104.571 2010=100 in 2017. This records an increase from the previous number of 94.805 2010=100 for 2016. Singapore SG: Index: Share Price data is updated yearly, averaging 75.683 2010=100 from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 115.492 2010=100 in 2007 and a record low of 42.423 2010=100 in 1998. Singapore SG: Index: Share Price data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Singapore – Table SG.IMF.IFS: Share Price Index: Annual.

Singapore SG: Stocks Traded: Total Value: % of GDP data was reported at 67.801 % in 2017. This records an increase from the previous number of 60.708 % for 2016. Singapore SG: Stocks Traded: Total Value: % of GDP data is updated yearly, averaging 68.266 % from Dec 1979 (Median) to 2017, with 39 observations. The data reached an all-time high of 211.849 % in 2007 and a record low of 7.553 % in 1985. Singapore SG: Stocks Traded: Total Value: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Singapore – Table SG.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Singapore Real Estate Investment Trusts (REITs): Index data was reported at 1,219.813 Jul2002=100 in Sep 2018. This records an increase from the previous number of 1,215.983 Jul2002=100 for Aug 2018. Singapore Real Estate Investment Trusts (REITs): Index data is updated monthly, averaging 743.600 Jul2002=100 from Jul 2002 (Median) to Sep 2018, with 195 observations. The data reached an all-time high of 1,243.819 Jul2002=100 in Jan 2018 and a record low of 99.620 Jul2002=100 in Jan 2003. Singapore Real Estate Investment Trusts (REITs): Index data remains active status in CEIC and is reported by Singapore Exchange. The data is categorized under Global Database’s Singapore – Table SG.Z004: Singapore Stock Exchange (SGX): Real Estate Investment Trusts.

The Asia-Pacific capital market exchange ecosystem is experiencing robust growth, driven by increasing financialization in the region's rapidly developing economies. A compound annual growth rate (CAGR) exceeding 7% from 2019 to 2024 suggests a significant market expansion, projected to continue into the forecast period (2025-2033). Key drivers include rising domestic savings, increasing foreign direct investment (FDI), and the proliferation of retail and institutional investors. The expansion of digital financial services and fintech innovations further fuels this growth, facilitating easier access to markets and investment products. While market segments vary significantly across the region, the dominance of equity and debt markets is evident, reflecting the developmental stage of many economies. The presence of major stock exchanges like the Shanghai, Tokyo, and Hong Kong exchanges underscores the region's importance in the global financial landscape. However, regulatory hurdles, geopolitical uncertainties, and potential macroeconomic shifts pose some restraints to sustained growth. The study focuses on key markets within the Asia-Pacific region, including China, Japan, South Korea, India, Australia, and others, providing a detailed picture of market dynamics and future potential within each specific nation. Furthermore, the growing participation of institutional investors, alongside a rising retail investor base, points to a mature and deepening market. This expanding market presents significant opportunities for both domestic and international players. However, navigating the diverse regulatory environments and understanding the unique characteristics of each national market is crucial for success. Future growth will likely be shaped by government policies promoting financial inclusion, technological advancements enhancing market efficiency, and the overall macroeconomic stability of the region. The continued development and deepening of these capital markets will play a critical role in driving economic growth and development across the Asia-Pacific region for the foreseeable future, attracting further foreign investment and fostering greater financial integration within the area. Please note: I cannot create hyperlinks. I also cannot provide financial data (market size, growth rates, etc.) as this requires specialized market research. The following report description provides a framework; you would need to fill in the financial data from your research. Recent developments include: July 2022: The eligible companies listed on Beijing Stock Exchange were allowed to apply for transfer to the Star Market of the Shanghai Stock Exchange. A transfer system is a positive approach for bridge-building efforts between China's multiple layers of the capital market., February 2022: The China Securities Regulatory Commission (CSRC) approved the merger of Shenzhen Stock Exchange's main board with the SME board. The merger will optimize the trading structure of the Shenzhen Stock Exchange.. Notable trends are: Increasing Foreign Direct Investment in Various Developing Economies in Asia-Pacific.

Stock market total value traded to GDP (%) in Singapore was reported at 30.42 % in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. Singapore - Stock market total value traded to GDP - actual values, historical data, forecasts and projections were sourced from the World Bank on July 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.

Sweet Rewards: Is SG Stock a Good Investment?

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