Singapore's main stock market index, the STI, fell to 4193 points on July 31, 2025, losing 0.63% from the previous session. Over the past month, the index has climbed 5.09% and is up 22.61% 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 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.

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

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.

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 SGX: Market Capitalisation: Total data was reported at 974,797.200 SGD mn in Sep 2018. This records an increase from the previous number of 970,051.700 SGD mn for Aug 2018. Singapore SGX: Market Capitalisation: Total data is updated monthly, averaging 661,983.700 SGD mn from Jan 1999 (Median) to Sep 2018, with 237 observations. The data reached an all-time high of 1,073,673.600 SGD mn in Jan 2018 and a record low of 273,339.000 SGD mn in Jan 1999. Singapore SGX: Market Capitalisation: Total data remains active status in CEIC and is reported by Monetary Authority of Singapore. The data is categorized under Global Database’s Singapore – Table SG.Z017: Singapore Exchange Securities Trading Limited (SGX-ST): Market Capitalisation.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_6dd4e62cb6a4c648bb2f72f8d6672552/view

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

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.

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.

SGX stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

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.

This dataset is about stocks. It has 429 rows and is filtered where the exchange is Singapore Exchange. It features 8 columns including stock name, company, exchange, and exchange symbol.

Singapore SG: Stocks Traded: Total Value data was reported at 219.612 USD bn in 2017. This records an increase from the previous number of 188.052 USD bn for 2016. Singapore SG: Stocks Traded: Total Value data is updated yearly, averaging 74.137 USD bn from Dec 1979 (Median) to 2017, with 39 observations. The data reached an all-time high of 381.289 USD bn in 2007 and a record low of 1.063 USD bn in 1979. Singapore SG: Stocks Traded: Total Value 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 converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; 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.

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 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 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.

Sweetgreen (SG) Stock Forecast: Salad Days Ahead

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