North American public software companies have higher price-to-earnings (PE) ratios in comparison to their European and APAC counterparts, signifying investors' willingness to pay more for their stocks for future earnings. In 2020, the PE ratio of North American listed software companies stood at 51.

The PE ratios are based on aggregated annual reports and recent data from listed companies. A more detailed methodic description can be found in the report Global software industry: financial insight.

In 2024, the average price-to-earnings (P/E) ratio of stocks on the Prime Market of the Tokyo Stock Exchange (TSE) in Japan was **. The average P/E ratio of stocks on the Standard Market was ****.

The price to earnings ratio is a measurement often used to determine stock valuation. In short, P/E is used to measure what the market is willing to pay for a company based on its earnings. The forward P/E for retail & trade companies operating in the general retail market was approximately *****. This meant that, according to projections, an investor will be willing to pay ***** dollars (or currency used) for every one dollar made through the companies earnings. Another formula that is used by investors to measure the value of an industry or potential target company for acquisition is the enterprise value to earnings before interest, taxes, depreciation and amortization (EV/EBITDA).

Amazon PE ratio as of June 17, 2025 is 30.55. Current and historical p/e ratio for Amazon (AMZN) from 2010 to 2025. The price to earnings ratio is calculated by taking the latest closing price and dividing it by the most recent earnings per share (EPS) number. The PE ratio is a simple way to assess whether a stock is over or under valued and is the most widely used valuation measure. Please refer to the Stock Price Adjustment Guide for more information on our historical prices.

Japan TSE: Consolidated: Average: PE Ratio: Prime Market: Non-Financial data was reported at 16.600 Times in Apr 2025. This records an increase from the previous number of 16.400 Times for Mar 2025. Japan TSE: Consolidated: Average: PE Ratio: Prime Market: Non-Financial data is updated monthly, averaging 16.500 Times from Apr 2022 (Median) to Apr 2025, with 37 observations. The data reached an all-time high of 21.200 Times in Apr 2022 and a record low of 14.200 Times in Jun 2022. Japan TSE: Consolidated: Average: PE Ratio: Prime Market: Non-Financial data remains active status in CEIC and is reported by Japan Exchange Group Inc.. The data is categorized under Global Database’s Japan – Table JP.Z: Tokyo Stock Exchange: Price Earnings Ratio. [COVID-19-IMPACT]

The price to earnings ratio is a measurement often used to determine stock valuation. In short, P/E is used to measure what the market is willing to pay for a company based on its earnings. The trailing P/E for building supply companies in the construction sector was approximately ****. This meant in theory that investors would be willing to pay **** (dollars or currency used) for every one (dollar or currency used) the company made through earnings.Another formula that is used by investors to measure the value of an industry or potential target company for acquisition is the enterprise value to earnings before interest, taxes, depreciation and amortization (EV/EBITDA).

NIKE PE ratio as of June 14, 2025 is 18.40. Current and historical p/e ratio for NIKE (NKE) from 2010 to 2025. The price to earnings ratio is calculated by taking the latest closing price and dividing it by the most recent earnings per share (EPS) number. The PE ratio is a simple way to assess whether a stock is over or under valued and is the most widely used valuation measure. Please refer to the Stock Price Adjustment Guide for more information on our historical prices.

Poland P/E Ratio: WSE: Main Market: Domestic data was reported at 19.000 NA in Feb 2025. This records a decrease from the previous number of 19.800 NA for Jan 2025. Poland P/E Ratio: WSE: Main Market: Domestic data is updated monthly, averaging 15.800 NA from Aug 2007 (Median) to Feb 2025, with 211 observations. The data reached an all-time high of 62.200 NA in Feb 2021 and a record low of 5.600 NA in Sep 2022. Poland P/E Ratio: WSE: Main Market: Domestic data remains active status in CEIC and is reported by Warsaw Stock Exchange. The data is categorized under Global Database’s Poland – Table PL.Z006: Warsaw Stock Exchange: Price to Earnings Ratio.

The price to earnings ratio is a measurement often used to determine stock valuation. In short, P/E is used to measure what the market is willing to pay for a company based on its earnings. The trailing P/E for green & renewable energy companies operating in the environmental and waste services market was approximately ****. This meant in theory that investors would be willing to pay just over **** (dollars or currency used) for every one (dollar) the company made through earnings.Another formula that is used by investors to measure the value of an industry or potential target company for acquisition is the enterprise value to earnings before interest, taxes, depreciation and amortization (EV/EBITDA).

Japan TSE: Consolidated: Average: PE Ratio: Standard Market (SM) data was reported at 12.800 Times in Apr 2025. This stayed constant from the previous number of 12.800 Times for Mar 2025. Japan TSE: Consolidated: Average: PE Ratio: Standard Market (SM) data is updated monthly, averaging 13.300 Times from Apr 2022 (Median) to Apr 2025, with 37 observations. The data reached an all-time high of 21.700 Times in Apr 2022 and a record low of 12.600 Times in Nov 2024. Japan TSE: Consolidated: Average: PE Ratio: Standard Market (SM) data remains active status in CEIC and is reported by Japan Exchange Group Inc.. The data is categorized under Global Database’s Japan – Table JP.Z: Tokyo Stock Exchange: Price Earnings Ratio. [COVID-19-IMPACT]

ABSTRACT The market price-earnings ratios differ from those of each share. Despite allowing for several pertinent analyses, authors have rarely addressed these valuation ratios in the Brazilian context. We can use it to evaluate whether the stock market is overvalued (undervalued). In this article, we analyze the mean reversion in a price-earnings ratio based on Ibovespa and identify periods of overvaluation (undervaluation) in the Brazilian stock market. We considered the period from December 2004 to June 2018. Until then, there are no studies that sought to identify periods of overvaluation (undervaluation) in this market. In the analyses, we used non-linear econometric methods. We analyzed the mean reversion in the price-earnings ratio using a unit root test that incorporates a Fourier function in the deterministic term. We identified the periods of market overvaluation (undervaluation) through the regime probabilities obtained from a Markov Switching model, estimated with the price-earnings ratio. The results evidenced that the price-earnings ratio based on the Ibovespa has a non-linear trend and exhibits mean reversion. Thus, this valuation ratio should provide information on the future stock market returns, mostly when it is very dispersed in relation to historical standards. We identified four periods of market overvaluation interposed with five periods of market undervaluation. Mean reversion in the price-earnings ratio contraposes the Efficient Markets Hypothesis. There are no other applications of unit root tests with a Fourier function in the Brazilian context. Furthermore, adopting a Markov Switching model to identify periods of market overvaluation (undervaluation) consists of a methodological contribution. Investors can take advantage of the identification of these periods to establish investment strategies.

Japan TSE: Consolidated: Average: PE Ratio: Prime Market: Manufacturing data was reported at 16.700 Times in Apr 2025. This records a decrease from the previous number of 17.000 Times for Mar 2025. Japan TSE: Consolidated: Average: PE Ratio: Prime Market: Manufacturing data is updated monthly, averaging 17.000 Times from Apr 2022 (Median) to Apr 2025, with 37 observations. The data reached an all-time high of 20.600 Times in May 2022 and a record low of 13.900 Times in Sep 2022. Japan TSE: Consolidated: Average: PE Ratio: Prime Market: Manufacturing data remains active status in CEIC and is reported by Japan Exchange Group Inc.. The data is categorized under Global Database’s Japan – Table JP.Z: Tokyo Stock Exchange: Price Earnings Ratio. [COVID-19-IMPACT]

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

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.

Super Micro: Navigating the Data Center Landscape (SMCI)

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 price to earning (PE) ratios of REITs worldwide as of March 2023 varied between six and 26 percent, depending on the market. The PE ratio is a valuation metric and is calculated as the ratio of the total market cap to the total earnings. A higher PE ratio means that the market cap has grown higher than the earnings - a sign of high investor confidence but also that the market may be overpriced. Though the U.S. REITs market had the highest PE ratio as of March 2023 (26), it was also a decrease from the same period in 2022. REITs are companies that own or finance rental real estate. One of their major benefit is liquidity: Though not all REITs are publicly traded, many of the major ones are, which allows investors to easily buy and sell shares. Because REITs pay out most of their taxable income to shareholders as dividends, they typically do not pay any corporate income tax.

Teva Pharmaceutical Industries current p/s ratio as of June 26, 2025 is 1.16. Teva Pharmaceutical Industries average p/s ratio for 2024 was 1.21, a 77.94% decline from 2023. Teva Pharmaceutical Industries average p/s ratio for 2023 was 0.68, a 9.68% increase from 2022. Teva Pharmaceutical Industries average p/s ratio for 2022 was 0.62, a 7.46% increase from 2021. P/s ratio can be defined as the price to sales or PS ratio is calculated by taking the latest closing price and dividing it by the most recent sales per share number. The PS ratio is an additional way to assess whether a stock is over or under valued and is used primarily in cases where earnings are negative and the PE ratio cannot be utilized.

Yahoo Finance Business Information dataset to access comprehensive details on companies, including financial data and business profiles. Popular use cases include market analysis, investment research, and competitive benchmarking.

Use our Yahoo Finance Business Information dataset to access comprehensive financial and corporate data, including company profiles, stock prices, market capitalization, revenue, and key performance metrics. This dataset is tailored for financial analysts, investors, and researchers to analyze market trends and evaluate company performance.

Popular use cases include investment research, competitor benchmarking, and trend forecasting. Leverage this dataset to make informed financial decisions, identify growth opportunities, and gain a deeper understanding of the business landscape.

Dataset Features

• name: Represents the company name.
• company_id: Unique identifier assigned to each company.
• entity_type: Denotes the type/category of the business entity.
• summary: A brief description or summary of the company.
• stock_ticker: The ticker symbol used for trading on stock exchanges.
• currency: The currency in which financial values are expressed.
• earnings_date: The date for the reported earnings.
• exchange: The stock exchange on which the company is listed.
• closing_price: The final stock price at the end of the trading day.
• previous_close: The stock price at the close of the previous trading day.
• open: The price at which the stock opened for the trading day.
• bid: The current highest price that a buyer is willing to pay for the stock.
• ask: The current lowest price that a seller is willing to accept.
• day_range: The range between the lowest and highest prices during the trading day.
• week_range: A broader price range over the past week.
• volume: Number of shares that traded in the session.
• avg_volume: Average daily share volume over a specific period.
• market_cap: Total market capitalization of the company.
• beta: A measure of the stock's volatility in comparison to the market.
• pe_ratio: Price-to-earnings ratio for valuation.
• eps: Earnings per share.
• dividend_yield: Dividend yield percentage.
• ex_dividend_date: The date on which the stock trades without the right to the declared dividend.
• target_est: The analyst's target price estimate.
• url: The URL to more detailed company information.
• people_also_watch: Companies frequently watched alongside this company.
• similar: Other companies with similar profiles.
• risk_score: A quantified risk score.
• risk_score_text: A textual interpretation of the risk score.
• risk_score_percentile: The risk score expressed in percentile terms.
• recommendation_rating: Analyst recommendation ratings.
• analyst_price_target: Analyst provided stock price target.
• company_profile_address: Company address from the profile.
• company_profile_website: URL for the company’s website.
• company_profile_phone: Contact phone number.
• company_profile_sector: The sector in which the company operates.
• company_profile_industry: Industry classification of the company.
• company_profile_employees: Number of employees in the company.
• company_profile_description: A detailed profile description of the company.
• valuation_measures: Contains key valuation ratios and metrics such as enterprise value, price-to-book, and price-to-sales ratios.
• Financial_highlights: Offers summary financial statistics including EPS, profit margin, revenue, and cash flow indicators.
• financials: This column appears to provide financial statement data.
• financials_quarterly: Similar to the previous field but intended to capture quarterly financial figures.
• earnings_estimate: Contains consensus earnings estimates including average, high, and low estimates along with the number of analysts involved.
• revenue_estimate: Provides revenue estimates with details such as average estimate, high and low values, and sales growth factors.
• earnings_history: This field tracks historical earnings and surprises by comparing actual EPS with estimates.
• eps_trend: Contains information on how the EPS has trended over various recent time intervals.
• eps_revisions: Captures recent changes in EPS forecasts.
• growth_estimates: Offers projections related to growth prospects over different time horizons.
• top_analysts: Intended to list the top analysts covering the company.
• upgrades_and_downgrades: This field shows recent analyst upgrades or downgrades.
• recent_news: Meant to contain recent news articles related to the company.
• fanacials_currency: Appears to indicate the currency used for financial reporting or valuation in the dataset.
• **company_profile_he

Japan TSE: Non-Consolidated: Weighted Average: PE Ratio: Prime Market data was reported at 20.500 Times in Apr 2025. This stayed constant from the previous number of 20.500 Times for Mar 2025. Japan TSE: Non-Consolidated: Weighted Average: PE Ratio: Prime Market data is updated monthly, averaging 22.100 Times from Apr 2022 (Median) to Apr 2025, with 37 observations. The data reached an all-time high of 34.200 Times in Apr 2022 and a record low of 18.600 Times in Oct 2023. Japan TSE: Non-Consolidated: Weighted Average: PE Ratio: Prime Market data remains active status in CEIC and is reported by Japan Exchange Group Inc.. The data is categorized under Global Database’s Japan – Table JP.Z: Tokyo Stock Exchange: Price Earnings Ratio. [COVID-19-IMPACT]

PPG Industries current p/s ratio as of June 27, 2025 is 1.69. PPG Industries average p/s ratio for 2024 was 1.93, a 3.5% decline from 2023. PPG Industries average p/s ratio for 2023 was 2, a 25% decline from 2022. PPG Industries average p/s ratio for 2022 was 1.6, a 28.25% increase from 2021. P/s ratio can be defined as the price to sales or PS ratio is calculated by taking the latest closing price and dividing it by the most recent sales per share number. The PS ratio is an additional way to assess whether a stock is over or under valued and is used primarily in cases where earnings are negative and the PE ratio cannot be utilized.

James Hardie Industries current p/s ratio as of July 06, 2025 is 3.21. James Hardie Industries average p/s ratio for 2024 was 3.97, a 19.22% decline from 2023. James Hardie Industries average p/s ratio for 2023 was 3.33, a 25.19% increase from 2022. James Hardie Industries average p/s ratio for 2022 was 2.66, a 44.81% increase from 2021. P/s ratio can be defined as the price to sales or PS ratio is calculated by taking the latest closing price and dividing it by the most recent sales per share number. The PS ratio is an additional way to assess whether a stock is over or under valued and is used primarily in cases where earnings are negative and the PE ratio cannot be utilized.