The main stock market index of Philippines, the PSEi, fell to 5988 points on October 24, 2025, losing 1.09% from the previous session. Over the past month, the index has declined 0.90% and is down 18.13% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Philippines. Philippines Stock Market (PSEi) - values, historical data, forecasts and news - updated on October of 2025.

Prices for Philippines Stock Exchange PSEi Index including live quotes, historical charts and news. Philippines Stock Exchange PSEi Index was last updated by Trading Economics this October 25 of 2025.

Key information about Philippines PSEi

• Philippines PSEi closed at 5,998.0 points in Feb 2025, compared with 5,862.6 points at the previous month end
• Philippines Equity Market Index: Month End: PSEi data is updated monthly, available from Jan 1987 to Feb 2025, with an average number of 2,806.2 points
• The data reached an all-time high of 8,764.0 points in Jan 2018 and a record low of 511.2 points in Mar 1987

Further information about Philippines PSEi

• In the latest reports, PSEi recorded a monthly P/E ratio of 12.0 in Dec 2024

Philippines Index: PSE: All Shares data was reported at 4,441.330 14Nov1996=1000 in Nov 2018. This records an increase from the previous number of 4,370.460 14Nov1996=1000 for Oct 2018. Philippines Index: PSE: All Shares data is updated monthly, averaging 1,668.750 14Nov1996=1000 from Nov 1996 (Median) to Nov 2018, with 265 observations. The data reached an all-time high of 5,124.830 14Nov1996=1000 in Jan 2018 and a record low of 400.470 14Nov1996=1000 in Aug 1998. Philippines Index: PSE: All Shares data remains active status in CEIC and is reported by Philippine Stock Exchange. The data is categorized under Global Database’s Philippines – Table PH.Z003: Philippines Stock Exchange: Index.

Stock market return (%, year-on-year) in Philippines was reported at 7.8165 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Key information about Philippines Market Capitalization

• Philippines Market Capitalization accounted for 324.833 USD bn in Feb 2025, compared with a percentage of 317.486 USD bn in the previous month
• Philippines Market Capitalization is updated monthly, available from Jan 1987 to Feb 2025
• The data reached an all-time high of 387.838 USD bn in Oct 2021 and a record low of 2.123 USD bn in Feb 1987

CEIC converts monthly Market Capitalization into USD. Philippine Stock Exchange provides Market Capitalization in local currency. Bangko Sentral ng Pilipinas period end market exchange rate is used for currency conversions.

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Philippines Index: PSE: Services data was reported at 1,462.550 29Dec2005=1000 in Oct 2018. This records a decrease from the previous number of 1,494.970 29Dec2005=1000 for Sep 2018. Philippines Index: PSE: Services data is updated monthly, averaging 1,571.185 29Dec2005=1000 from Jan 2006 (Median) to Oct 2018, with 154 observations. The data reached an all-time high of 2,237.160 29Dec2005=1000 in Aug 2014 and a record low of 1,027.130 29Dec2005=1000 in Jan 2006. Philippines Index: PSE: Services data remains active status in CEIC and is reported by Philippine Stock Exchange. The data is categorized under Global Database’s Philippines – Table PH.Z003: Philippines Stock Exchange: Index.

Market capitalization of listed domestic companies (current US$) in Philippines was reported at 251828420000 USD in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Market capitalization of listed companies - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

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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.

PSEi Composite index seen cautiously optimistic.

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

Philippines Index: PSE: Property data was reported at 3,601.140 30Sep1994=1000 in Nov 2018. This records an increase from the previous number of 3,495.490 30Sep1994=1000 for Oct 2018. Philippines Index: PSE: Property data is updated monthly, averaging 1,152.325 30Sep1994=1000 from Oct 1994 (Median) to Nov 2018, with 290 observations. The data reached an all-time high of 3,978.190 30Sep1994=1000 in Dec 2017 and a record low of 370.050 30Sep1994=1000 in Oct 2000. Philippines Index: PSE: Property data remains active status in CEIC and is reported by Philippine Stock Exchange. The data is categorized under Global Database’s Philippines – Table PH.Z003: Philippines Stock Exchange: Index.

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.

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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

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Philippines Market Cap: PSE: Property data was reported at 2,254,534.775 PHP mn in Oct 2018. This records a decrease from the previous number of 2,346,774.229 PHP mn for Sep 2018. Philippines Market Cap: PSE: Property data is updated monthly, averaging 401,974.195 PHP mn from Oct 1994 (Median) to Oct 2018, with 289 observations. The data reached an all-time high of 2,564,797.427 PHP mn in Jan 2018 and a record low of 116,822.382 PHP mn in Oct 2000. Philippines Market Cap: PSE: Property data remains active status in CEIC and is reported by Philippine Stock Exchange. The data is categorized under Global Database’s Philippines – Table PH.Z002: Philippines Stock Exchange: Capital Raised and Market Capitalization.

Stock price volatility in Philippines was reported at 27.07 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Stock price volatility - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Philippines Market Capitalization: PSE data was reported at 17,583,119.612 PHP mn in 2017. This records an increase from the previous number of 14,438,774.757 PHP mn for 2016. Philippines Market Capitalization: PSE data is updated yearly, averaging 1,170,054.044 PHP mn from Dec 1970 (Median) to 2017, with 48 observations. The data reached an all-time high of 17,583,119.612 PHP mn in 2017 and a record low of 4,614.805 PHP mn in 1971. Philippines Market Capitalization: PSE data remains active status in CEIC and is reported by Philippine Stock Exchange. The data is categorized under Global Database’s Philippines – Table PH.Z008: Philippines Stock Exchange: Annual Statistics.

Key information about Philippines P/E ratio

• Philippines PSEi recorded a monthly P/E ratio of 11.960 on Jan 2025, compared with 12.089 from the previous month.
• Philippines PSEi P/E ratio is updated monthly, with historical data available from Oct 1994 to Dec 2024.
• The P/E ratio reached an all-time high of 28.210 in Jan 1997 and a record low of 8.810 in Nov 1997.
• CEIC extends history for monthly P/E Ratio. Philippine Stock Exchange provides P/E Ratio. P/E Ratio prior to July 2006 is calculated from old presentation and classification.

In the latest reports, PSEi closed at 6,528.790 points in Dec 2024.