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

London Stock Exchange reported GBP41.36 in PE Price to Earnings for its fiscal semester ending in June of 2025. Data for London Stock Exchange | LSE - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last December in 2025.

The Financial Times Stock Exchange 100 index (FTSE 100) is a share index of the 100 companies listed on the London Stock Exchange with the highest market capitalization. The index, which began in January 1984 with the base level of 1,000, reached ******** at the end of 2024. LSE Overview Established in 1571, the London Stock Exchange (LSE) has grown to become the ninth-largest globally. Companies listed on the LSE had a companies primarily hail from the energy and pharmaceutical sectors, with Shell and AstraZeneca leading the pack. In the realm of

London Stock Exchange reported GBP47.16B in Market Capitalization this December of 2025, considering the latest stock price and the number of outstanding shares.Data for London Stock Exchange | LSE - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last December in 2025.

The total market capitalization of all companies trading on the London Stock Exchange (LSE) took a large hit during the early months of 2020, due mostly part to a mass sell-off of shares caused by the fears surrounding the global coronavirus (COVID-19) pandemic. Between December 2019 and March 2020, the total value of market capitalization decreased by more than *** billion British pounds (GBP). The overall number of companies currently trading has also been falling. The number of daily trades spiked in March 2020 and then decreased as well. As of February 2025, the total market value of all companies trading on the London Stock Exchange stood at over **** trillion British pounds. European stock exchanges While almost every country has a stock Exchange, in Europe only five exchanges are considered major, with total market capital amounting to over *** trillion euros. The London Stock Exchange is the second largest in Europe and tenth largest worldwide. As of January 2025, Europe’s largest stock exchange, Euronext had a total market capital of listed companies valued at approximately **** trillion U.S. dollars.

Context

This dataset provides a comprehensive and clean historical view of the Italian stock market, specifically focusing on the companies within the FTSE MIB and FTSE Italia Mid Cap indices. It was created as the foundational asset for a quantitative finance project aimed at developing and backtesting factor-based investment strategies. The data has undergone a rigorous quality assurance process to remove outliers and logical inconsistencies.

Content

The dataset is composed of three separate CSV files, linked by security_id and date:

1. securities_master.csv The master file containing the list of all securities in the investment universe. * id: Unique integer identifier for each security (Primary Key). * ticker: The unique stock ticker (e.g., ENI.MI). * company_name: The full name of the company. * sector: The business sector of the company. * index_name: The index the stock belongs to (FTSE MIB or FTSE Mid Cap).

2. daily_prices.csv Contains the full daily price history for each security since 2002-01-01. * id: Unique integer identifier for the price record. * security_id: Foreign Key linking to the id in securities_master. * price_date: The trading date in YYYY-MM-DD format. * open, high, low, close: Standard OHLC prices, adjusted for dividends and splits. * volume: The number of shares traded.

3. macro_data.csv Provides the macroeconomic context with daily frequency (using forward-fill for lower frequency data). * data_date: The date in YYYY-MM-DD format. * [Other columns]: Contains various indicators like vix_close, btp_10y_yield, btp_bund_spread, eu_gdp_growth, it_inflation_rate, etc.

Methodology

The data was collected programmatically using Python libraries (yfinance, pandas-datareader) from trusted sources (Yahoo Finance, FRED). A multi-step data cleaning and validation process was applied to ensure quality and consistency.

Inspiration

The primary challenge for this dataset is to build a portfolio selection model that can consistently outperform the FTSE MIB index on a risk-adjusted basis. What factors (Momentum, Volatility, Macro) are most predictive for the Italian market?

Explore LSEG's Equities Pricing Data, and gain global coverage of over 7 million securities, assets in over 200 exchanges and 20 years of price history.

As of January 29, 2025, the FTSE index stood at ******** points - well above its average value of around ***** points in the past few years.On the 12th of March 2020, amid the escalating crisis surrounding the coronavirus and fears of a global recession, the FTSE 100 suffered the second largest one day crash in its history and the biggest since the 1987 market crash. On the 23rd of March, the FTSE index saw its lowest value this year to date at ******** but has since began a tentative recovery. With the continuation of the pandemic, the FTSE 100 index was making a tentative recovery between late March 2020 and early June 2020. Since then the FSTE 100 index had plateaued towards the end of July, before starting a tentative upward trend in November. FTSE 100 The Financial Times Stock Exchange 100 Index, otherwise known as the FTSE 100 Index is a share index of the 100 largest companies trading on the London Stock Exchange in terms of market capitalization. At the end of March 2024, the largest company trading on the LSE was Shell. The largest ever initial public offering (IPO) on the LSE was Glencore International plc. European stock exchanges While nearly every country in Europe has a stock exchange, only five are considered major, and have a market capital of over one trillion U.S dollars. European stock exchanges make up two of the top ten major stock markets in the world. Europe’s biggest stock exchange is the Euronext which combines seven markets based in Belgium, France, England, Ireland, the Netherlands, Norway, and Portugal.

London Stock Exchange reported GBP1.12B in EBIT for its fiscal semester ending in June of 2025. Data for London Stock Exchange | LSE - Ebit including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Disclaimer

This dataset was compiled from publicly available financial data sourced from Yahoo Finance for research and educational purposes only. Redistribution of raw data may be subject to Yahoo Finance’s terms of service. Users are responsible for complying with all applicable data usage policies and regulations.

Description

This dataset contains two CSV files for companies listed on the London Stock Exchange (next, LSE) * raw_financial_metrics_2025_march.csv - latest available financial data (as of March 2025) including metrics such as revenue, net income, P/E ratio, total debt, market capitalisation and industry classification. * historical_stock_prices_2015_2025.csv - 10 years of daily closing stock prices (2015 April 1st - 2025 March 28) for the same set of companies

The dataset is designed to support: * Financial valuation research * Time-series forecasting (e.g., LSTM ARIMA) * Multi-modal learning (e.g., combining static metrics and price trends) * Exploratory analysis by sector, market capitalisation, etc.

Columns Overview

Financial Metrics:

General Company Information

• Ticker: Unique stock symbol used to identify the company on the stock exchange.
• Name: Full name of the company.
• Website: Official company website.
• Address, City, Postcode, Country: Headquarters location details.
• Exchange: Stock exchange where the company is listed (e.g. LSE for London Stock Exchange).

Market & Share Information

• Market Cap: Total market value of a company’s outstanding shares.
• Shares Outstanding: Total number of shares currently issued and held by shareholders.
• Float Shares: Shares available for public trading (excludes insider holdings).

Stock Performance

• Regular Market Price: Latest trading price during regular market hours.
• Regular Market Change / (%): Absolute and percentage change in price from the previous trading day.
• 50 Day Average / 200 Day Average: Average stock prices over the past 50 and 200 days, respectively.
• 52 Week Change: Percentage change in stock price over the past year.
• 52 Week High / Low: Highest and lowest stock prices over the past year.

Valuation Ratios

• Enterprise to Revenue / EBITDA: Valuation multiples showing how the company is priced relative to its revenue or earnings before interest, taxes, depreciation, and amortization.
• P/E Ratio (Price-to-Earnings): Valuation based on earnings per share.
• P/B Ratio (Price-to-Book): Compares market value to book value.
• Price to Sales (TTM): Market cap divided by total sales over the trailing twelve months.
• PEG Ratio: Price/Earnings ratio adjusted for expected earnings growth.

Financial Strength

• Book Value: Total company equity per share.
• Beta: A Measure of stock volatility relative to the market.
• Debt-to-Equity Ratio: Leverage ratio comparing total debt to shareholder equity.
• Quick Ratio / Current Ratio: Liquidity indicators for meeting short-term obligations.

Cash Flows & Liquidity

• Operating Cash Flow: Cash generated from core business operations.
• Free Cash Flow: Cash available after capital expenditures.
• Total Cash: The Company’s total cash reserves.
• Total Debt: Total liabilities in the form of debt.
• Current Total Assets: Total assets expected to be converted into cash within a year.
• Total Cash Per Share: Cash reserves divided by the number of outstanding shares.

Earnings & Profitability

• Gross Profits: Revenue minus cost of goods sold.
• EBITDA: Earnings before interest, taxes, depreciation, and amortization.
• Operating Margins / Profit Margins: Efficiency and profitability ratios.
• Forward EPS / Trailing EPS: Projected vs actual earnings per share.
• Earnings Quarterly Growth: Year-over-year change in earnings.
• Revenue Growth: Year-over-year change in revenue.

Dividends

• Dividend Rate: Annual dividend per share.
• Dividend Yield: Dividend as a percentage of the share price.
• Payout Ratio: Proportion of earnings paid out as dividends.

Analyst Sentiment

• Recommendation: Consensus recommendation from financial analysts (e.g., Buy, Hold, Sell).
• Recommendation Mean: Average numerical value of analyst ratings (lower means more favorable).
• Number of Analyst Opinions: Number of analyst reports used to generate recommendation scores.

Stock Prices

• Company Name - the name of the company
• Date (daily) - the dates in the "yyyy-mm-dd" format

Potential Use Cases

• Stock price prediction
• Deep learning models combining tabular and time-series data
• Graham-style intrinsic value estimation
• Sector-wise performance benchmarking
• Feature engineering and data preprocessing experiments

Inspiration

This dataset was created as part of a Data Science research project exploring the use of financial fundamentals and historical price movements to evaluate company value and predict future performance.

Description: The "Global Stock Price Archive" is a comprehensive dataset that provides a historical record of stock prices from a wide range of stock markets across the globe. This dataset is a valuable resource for researchers, investors, and analysts seeking to analyze trends, perform financial research, or develop trading strategies. Multi-Market Coverage: Historical stock price data from major stock exchanges worldwide, such as the New York Stock Exchange (NYSE), NASDAQ, London Stock Exchange (LSE), Tokyo Stock Exchange (TSE), and many others.

Time Series Data: Daily, weekly, or monthly stock price information over a significant timeframe, allowing users to track the performance of individual stocks or market indices.

Ticker Symbols: Ticker symbols or stock codes for easy identification of individual companies or securities.

Open, Close, High, Low Prices: Detailed pricing information, including opening prices, closing prices, daily highs, and lows.

Volume and Trading Data: Trading volumes, bid-ask spreads, and other relevant trading statistics.

Adjustments: Adjusted prices to account for factors like dividends, stock splits, and other corporate actions.

Data Formats: The dataset may be available in various formats, such as CSV, Excel, or API access, to accommodate different user needs

Stock Price Time Series for Tate & Lyle PLC. Tate & Lyle plc, together with its subsidiaries, engages in the provision of ingredients and solutions to the food, beverages, and other industries in North America, Asia, Middle East, Africa, Latin America, and Europe. The company operates through four segments: Food & Beverage Solutions, Sucralose, Primary Products Europe, and CP Kelco. Its portfolio includes sweeteners, fibres, stabilisers and functional systems, hydrocolloids, and starches, proteins, and functional flours. The company's products are used in beverages, dairy, soups, sauces and dressings, bakery and snacks, confectionery, household, clinical nutrition, industrial, meat and seafood, and personal care applications. The company was incorporated in 1903 and is headquartered in London, the United Kingdom.

Stock Price Time Series for I-Nexus. i-nexus Global plc provides strategy software that enables large organizations to manage and execute strategic and operational projects worldwide. The company also develops and sells enterprise cloud-based software on a software-as-a-service basis; and provides professional consultancy services. i-nexus Global plc was founded in 2001 and is headquartered in London, the United Kingdom.

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 26 companies listed on the GEMMA (Gilt Edged Market Maker Association) (GEMX) in United Kingdom. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

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Top 5 used data fields in the End-of-Day Pricing Dataset for United Kingdom :

1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

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Top 5 financial instruments with End-of-Day Pricing Data in United Kingdom:

FTSE 100 Index: The Financial Times Stock Exchange 100 Index, often referred to as the FTSE 100 or "Footsie," is the main benchmark index of the London Stock Exchange. It tracks the performance of the 100 largest publicly traded companies in the United Kingdom based on market capitalization.

FTSE 250 Index: The FTSE 250 Index is another major stock market index in the United Kingdom. It includes the next 250 largest companies listed on the London Stock Exchange after the FTSE 100.

Company X: A prominent British multinational corporation that operates in various sectors, such as finance, technology, or energy. This company's stock is actively traded on the London Stock Exchange.

Company Y: A leading British financial institution that offers banking, investment, and financial services both domestically and internationally. This company's stock is widely traded on the London Stock Exchange.

Company Z: A major British pharmaceutical, consumer goods, or manufacturing company with a significant global presence. This company's stock is listed and actively traded on the London Stock Exchange.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for United Kingdom, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

Q&A:

1. How much does the End-of-Day Pricing Data cost in United Kingdom ?

The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

1. How complete is the End-of-Day Pricing Data coverage in United Kingdom?

Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on United Kingdom exchanges.

1. How does Techsalerator collect this data?

Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

1. How do I pay for this dataset?

Tec...

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.

FTSE 100: Where to Next?

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

London Stock Exchange reported GBP9.96B in Debt for its fiscal semester ending in December of 2024. Data for London Stock Exchange | LSE - Debt including historical, tables and charts were last updated by Trading Economics this last December in 2025.

Stock Price Time Series for Next PLC. NEXT plc engages in the retail of clothing, homeware, and beauty products in the United Kingdom, rest of Europe, the Middle East, Asia, and internationally. It operates through NEXT Online, NEXT Retail, NEXT Finance, Total Platform, and Other Business Activities segments. The company offers NEXT branded products; and women's, men's, children's fashion clothing, and accessories; and third-party branded products. It also provides consumer credit; services to third-party brands, including websites, marketing, warehousing, distribution networks, and contact centers; and property management, which holds and leases properties. The company operates through retail stores, online retail platforms, and franchise stores. The company was formerly known as J Hepworth & Son and changed its name to NEXT plc in 1986. NEXT plc was founded in 1864 and is headquartered in Enderby, the United Kingdom.

London Stock Exchange reported GBP2.22B in EBITDA for its fiscal semester ending in June of 2025. Data for London Stock Exchange | LSE - Ebitda including historical, tables and charts were last updated by Trading Economics this last December in 2025.

With LSEG's Hong Kong Stock Exchange Issuer Information feed Service (IIS), gain real-time trading news and announcements from HKEX listed companies.

Gain exclusive access to specialist Foreign Exchange (FX) data, and the tools to manage trading analysis, risk and operations with LSEG's FX Pricing Data.