United States US: Stocks Traded: Total Value data was reported at 39,785.881 USD bn in 2017. This records a decrease from the previous number of 42,071.330 USD bn for 2016. United States US: Stocks Traded: Total Value data is updated yearly, averaging 17,934.293 USD bn from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 47,245.496 USD bn in 2008 and a record low of 1,108.421 USD bn in 1984. United States US: Stocks Traded: Total Value data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.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.

The Dow Jones U.S. Telecommunications index is poised for a period of sustained growth, driven by the increasing adoption of 5G technology and the associated rise in demand for data and telecommunications services. The index is expected to experience a 6% increase in value over the next 12 months, with potential risks including economic uncertainty and regulatory changes.

Dataset Information

This dataset includes daily price data for various stocks.

  Instruments Included

7000+ US Stocks

  Dataset Columns

symbol: The symbol of the stock. date: The date of the data. open: The opening price of the stock. high: The highest price of the stock. low: The lowest price of the stock. close: The closing price of the stock. volume: The volume of the stock. adj_close: The adjusted closing price of the stock.

  Data Splits

The… See the full description on the dataset page: https://huggingface.co/datasets/paperswithbacktest/Stocks-Daily-Price.

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.

DJ US Healthcare: Poised for Recovery?

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 US Capital Market Exchange Ecosystem is Segmented by Type of Market (Primary Market and Secondary Market), by Financial Instruments (Debt and Equity), and by Investors (Retail Investors and Institutional Investors). The report offers market size and forecasts for the US Capital Market Exchange Ecosystem in value (USD Million) for all the above segments.

Snapshot img

Securities Exchanges Market Size 2025-2029

The securities exchanges market size is forecast to increase by USD 56.67 billion at a CAGR of 12.5% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing demand for investment opportunities. This trend is fueled by a global economic recovery and a rising interest in various asset classes, particularly in emerging markets. Another key driver is the increasing focus on sustainable and environmental, social, and governance (ESG) investing. This shift reflects a growing awareness of the importance of long-term value creation and the role of exchanges in facilitating socially responsible investments. This trend is driven by the expanding securities business units, including stocks, bonds, mutual funds, and other securities, which cater to the needs of investment firms and individual investors. However, the market is not without challenges. Increasing market volatility poses a significant risk for exchanges and their clients.
Furthermore, the rapid digitization of trading and the emergence of alternative trading platforms are disrupting traditional exchange business models. To navigate these challenges, exchanges must adapt by investing in technology, expanding their product offerings, and building strong regulatory frameworks. Data analytics and big data are also crucial tools for e-brokerage firms to gain insights and make informed decisions. By doing so, they can capitalize on the market's growth potential and maintain their competitive edge. Geopolitical tensions, economic instability, and regulatory changes can all contribute to market fluctuations and uncertainty.

What will be the Size of the Securities Exchanges Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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In the dynamic market, financial instrument classification plays a crucial role in facilitating efficient trade matching through advanced execution quality metrics and order book liquidity. Quantitative trading models leverage options clearing corporation data to optimize portfolio holdings, while trade matching engines utilize high-speed data storage solutions and portfolio optimization algorithms to minimize latency and enhance market depth indicators. Data center infrastructure and network bandwidth capacity are essential components for supporting complex algorithmic trading strategies, including latency reduction and price volatility forecasting. Market impact measurement and risk assessment methodologies are integral to managing market impact and mitigating fraud, ensuring regulatory compliance through transaction reporting standards and regulatory compliance software.

Exchange traded funds (ETFs) have gained popularity, necessitating robust quote dissemination systems and trade surveillance analytics. Server virtualization and cybersecurity threat mitigation strategies further strengthen the market's resilience, enabling seamless integration of data-driven quantitative models and sophisticated fraud detection algorithms. Additionally, users of online trading platforms can easily monitor the performance of their assets thanks to real-time stock data.

How is this Securities Exchanges Industry segmented?

The securities exchanges industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Service

  Market platforms
  Capital access platforms
  Others


Trade Finance Instruments

  Equities
  Derivatives
  Bonds
  Exchange-traded funds
  Others


Type

  Large-cap exchanges
  Mid-cap exchanges
  Small-cap exchanges


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Switzerland
    UK


  APAC

    China
    Hong Kong
    India
    Japan


  Rest of World (ROW)

By Service Insights

The Market platforms segment is estimated to witness significant growth during the forecast period. The market is characterized by advanced technologies and systems that enable efficient price discovery, manage settlement risk, and ensure regulatory compliance. Market platforms, which include trading platforms, order-matching systems, and market data dissemination, hold the largest share of the market. These platforms facilitate the buying and selling of securities, providing market liquidity and transparency. Real-time market surveillance and high-frequency trading infrastructure are crucial components, ensuring fair and orderly markets and enabling efficient trade execution. Financial modeling techniques and algorithmic trading platforms optimize trading strategies, while electronic communication networks and central counterparty cleari

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.

Is Dow Jones U.S. Select Pharmaceuticals Index Poised for Growth?

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

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

Snapshot img

Stockbroking Market Size 2025-2029

The stockbroking market size is forecast to increase by USD 27.45 billion at a CAGR of 10.1% between 2024 and 2029.

The market is characterized by the increasing need for real-time investment monitoring and surveillance, driven by heightened market volatility and investor demand for transparency. This trend is further fueled by advancements in technology, enabling brokerages to offer more sophisticated trading platforms and tools. The integration of artificial intelligence (AI) and algorithms into trading platforms has led to cloud-based solutions, enabling active and passive portfolio management. However, the market faces significant challenges, primarily due to the ongoing trade war and its associated economic uncertainties. The escalating tensions have led to increased market volatility and investor risk aversion, potentially dampening trading volumes and investor confidence.
As a result, stockbrokers must adapt to these market dynamics by offering innovative solutions that mitigate risk and provide value-added services to attract and retain clients. To capitalize on opportunities and navigate challenges effectively, companies should focus on enhancing their technology offerings, expanding their geographical reach, and developing strategic partnerships to stay competitive in this dynamic market. Additionally, users of online trading platforms can easily monitor the performance of their assets thanks to real-time stock data. 

What will be the Size of the Stockbroking Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free Sample

In the dynamic market, order routing optimization plays a crucial role in maximizing execution efficiency. Business continuity planning is essential to ensure uninterrupted services during crises. Financial statement analysis and performance attribution models help assess investment strategy implementation and identify areas for improvement. Data visualization tools facilitate effective operational risk management by providing insights into trading algorithms' performance. Backtesting methodologies and execution quality metrics are integral to refining quantitative trading models and derivatives pricing models. Futures trading strategies and disaster recovery planning are essential components of risk appetite modeling, enabling firms to manage volatility and mitigate potential losses. The stockbroking industry is essential for the smooth functioning of financial analytics.

Trade blotter reconciliation and client communication channels are vital for maintaining transparency and trust in client relationships. Portfolio construction strategies, financial reporting standards, and investment strategy implementation require a deep understanding of various regulatory requirements, including anti-money laundering (AML) and regulatory technology solutions. Algorithmic trading performance and account opening procedures are subject to continuous monitoring and optimization. Information security management and tax reporting compliance are essential aspects of maintaining a robust and compliant stockbroking business. Options trading strategies and transaction cost reduction are critical elements of a well-rounded investment offering.

How is this Stockbroking Industry segmented?

The stockbroking industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Mode Of Booking

  Offline
  Online


Type

  Long term trading
  Short term trading


End-user

  Institutional investor
  Retail investor


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Mode Of Booking Insights

The Offline segment is estimated to witness significant growth during the forecast period. Offline stockbroking is the traditional method of engaging in stock trading activities without the use of online platforms or electronic systems. Investors work with stockbrokers who act as an intermediary between them and the stock exchange. Offline stockbroking includes: Communication: Investors place their buy or sell orders through direct communication via calls, emails, or in person with their stockbrokers. Offline is still dominating the market due to the ease of use due to factors such as personalized services, extensive research, complex investment strategies, trust, and relationship building by the investors over time, also in the offline segment they can access initial public offerings or other restricted offerings which may not be readily available on an online brokera

Graph and download economic data for Index of Common Stock Prices, New York Stock Exchange for United States (M11007USM322NNBR) from Jan 1902 to May 1923 about New York, stock market, indexes, and USA.

United States New York Stock Exchange: Index: US 100 Index data was reported at 16,491.357 NA in Apr 2025. This records a decrease from the previous number of 16,852.600 NA for Mar 2025. United States New York Stock Exchange: Index: US 100 Index data is updated monthly, averaging 10,169.600 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 17,440.815 NA in Feb 2025 and a record low of 5,695.000 NA in May 2012. United States New York Stock Exchange: Index: US 100 Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Monthly.

U.S. ENDPOINT SECURITY MARKET valued USD 6.7 Billion in 2024 and is projected to surpass USD 16.6 Billion through 2032

The size of the U.S. Tableware Market was valued at USD 9.00 billion in 2023 and is projected to reach USD 13.18 billion by 2032, with an expected CAGR of 5.6 % during the forecast period. Tableware refers to the items used for setting a table, serving food, and eating. These products play a vital role in dining experiences, whether in a formal setting, a casual meal, or an outdoor gathering. Tableware encompasses a wide range of items designed to complement the style, function, and atmosphere of a meal. It can be made from various materials, including porcelain, ceramic, glass, stainless steel, wood, and plastic, depending on the intended use, durability, and aesthetic preference. This remarkable growth trajectory, projected to continue at a CAGR of 5.6%, can be attributed to myriad factors. The increasing consumer preference for innovative and aesthetically pleasing tableware has spurred demand. Moreover, the growing popularity of online shopping and home decor trends has further accelerated market growth.

The United States Online Trading Platform Market is Segmented by Offerings (Platforms, Services), by Deployment Mode (On-Premises, Cloud), by Type (Beginner-Focused Platforms, Advanced-Trader Platforms), by Interface (Mobile App, Desktop), by End-User (Institutional Investors, Retail Investors). The Market Forecasts are Provided in Terms of Value (USD).

The price of Tesla shares traded on the Nasdaq stock exchange remained rather stable between July 2010 and January 2020. With the beginning of 2020, the price of Tesla share increased dramatically and stood at ****** U.S. dollars per share in November 2021. Since then, the price of Tesla share fluctuated significantly and reached its peak at ****** U.S. dollars per share in December 2024, before falling dramatically in February 2025. Why did Tesla's stock value go up in 2020? Despite the effects of the pandemic, Tesla share prices experienced a massive increase in 2020. Tesla kept increasing its output levels throughout the year, except for the second quarter, and released its new vehicle Tesla Model Y. Additionally, when the company was added to the S&P 500 index in August 2020, it instilled further trust in investors. In 2020, Tesla was the top-performing stock on the S&P 500 index, and two years later, in 2024, it ranked among the ten largest companies on the index by market capitalization. Steady growth in the last decade Founded in 2003, Tesla primarily focuses on designing and producing electric vehicles, as well as energy generation and storage systems. Since then, Tesla's revenue has steadily increased, reaching nearly ** million U.S. dollars in 2024. Most of the revenue came from automotive sales in 2024. Tesla's first electric car, the Roadster, was sold between 2008 and 2012. Currently, the company offers four primary electric vehicles: Model 3, Model Y, Model S, and Model X.

The size of the U.S. Data Center Market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of XXX % during the forecast period. The U.S. data center market is a rapidly growing sector driven by the increasing demand for digital storage, cloud computing, and big data processing. As more businesses and individuals rely on digital services, the need for robust data infrastructure has surged. U.S. data centers house vast amounts of data for industries such as finance, healthcare, e-commerce, and entertainment. Such data centers are equipped with advanced technologies, including high-speed internet connections, cooling systems, and security features to ensure efficient and secure operations. The industry is also influenced by the trend of edge computing, where smaller, decentralized data centers are built closer to end-users to reduce latency and improve performance. Other factors influencing the industry include the adoption of cloud services, data privacy regulations, and sustainability concerns. Companies like Amazon Web Services (AWS), Google, and Microsoft are major players in the market. They are all still building out their data center footprints to meet the ever-changing needs of the digital economy.

The size of the US Internet of Things Market was valued at USD 19942.01 million in 2023 and is projected to reach USD 53695.30 million by 2032, with an expected CAGR of 15.20% during the forecast period. The Internet of Things (IoT) refers to the interconnected network of physical devices, vehicles, appliances, and other objects embedded with sensors, software, and technologies that enable them to collect, exchange, and act on data over the internet or other communication networks. This ecosystem allows everyday objects, from smart thermostats and refrigerators to industrial machines and healthcare devices, to communicate with each other and users in real-time. The key aspect of IoT is its ability to connect and automate processes, improving efficiency, convenience, and decision-making through data analysis and remote management. This growth is driven by the increasing adoption of IoT devices across various industries, including manufacturing, transportation, energy, healthcare, and retail. The benefits of IoT devices, such as improved efficiency, cost savings, and enhanced customer experience, are driving their adoption. Government initiatives promoting the development and deployment of IoT solutions are also contributing to market growth. Rising concerns about food security and technological advancements are further fueling the adoption of IoT devices in agriculture and other industries. Recent developments include: In October 2021, Siemens Smart Infrastructure acquired Wattsense, a French hardware and software business that provides innovative, plug-and-play IoT management systems for small and medium-sized buildings. This would broaden Siemens' construction product line., In June 2021, Microsoft acquired ReFirm Labs to improve firmware analysis and security capabilities throughout the intelligent edge, from servers to IoT., In December 2021, Oracle announced the acquisition of Cerner, a prominent provider of digital information systems used in hospitals and health systems, enabling medical professionals to provide better care to individual patients and communities..

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.

Dow Jones U.S. Real Estate - A Bull or Bearish Run in Sight?

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

Snapshot img

Additive Manufacturing Market Size 2025-2029

The additive manufacturing market size is forecast to increase by USD 46.76 billion at a CAGR of 23.9% between 2024 and 2029.

The market is experiencing significant growth, driven primarily by the high demand in the medical device sector for customized and complex components. This trend is further fueled by increasing consumer interest in personalized, 3D-printed products across various industries. However, the market growth is not without challenges. The high initial cost of setting up additive manufacturing facilities remains a significant barrier for entry, limiting the number of players and potentially hindering market penetration. Moreover, the technology's limited material options and the need for specialized expertise pose additional challenges.
To capitalize on the market opportunities and navigate these challenges effectively, companies must focus on collaborations, strategic partnerships, and continuous innovation to reduce costs, expand material offerings, and improve production efficiency. By staying abreast of the latest industry developments and trends, businesses can position themselves to succeed in this dynamic and evolving market.

What will be the Size of the Additive Manufacturing Market during the forecast period?

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The market continues to experience significant growth and innovation, driven by the increasing adoption of industrial 3d printing technologies in various industries. The market's size is projected to expand at a robust rate, with the automotive and industrial segments leading the charge. Technologies such as fuse deposition modeling, stereolithography, and selective laser sintering are gaining popularity due to their ability to produce complex geometries and reduce production expenses. The market is also witnessing increased regulatory scrutiny, leading to the development of certification standards and quality assurance protocols. The integration of advanced scanning software and design software capabilities is enabling more precise and efficient manufacturing processes.
Mergers & acquisitions and collaboration agreements are common as companies seek to expand their offerings and enhance their competitive positions. Despite the advancements, challenges remain, including the need for installation services, addressing the skills gap, and ensuring compatibility with traditional manufacturing methods. Desktop additive manufacturing and desktop 3d printers are also gaining traction for prototyping and educational purposes. The market's future direction lies in the continued development of more advanced technologies, improved design software, and the expansion of applications beyond prototyping to production. The shift from subtractive manufacturing methods to additive manufacturing is transforming industries, offering new opportunities for innovation and cost savings.
The market's dynamics are shaped by ongoing technological advancements, regulatory developments, and industry 4.0 trends.

How is this Additive Manufacturing Industry segmented?

The additive manufacturing industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Component

  Hardware
  Software
  Services


End-user

  Automotive
  Aerospace
  Industrial
  Healthcare
  Defense
  Consumer Goods
  Education/Research
  Others


Material

  Plastics
  Metals
  Ceramics
  Others


Technology

  Stereolithography
  Polyjet printing
  Binder jetting
  Laser sintering
  Fused Deposition Modeling (FDM)
  Direct Metal Laser Sintering (DMLS)
  Electron Beam Melting (EBM)
  Directed Energy Deposition (DED)
  Others
  Binder jetting


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Spain
    UK


  APAC

    China
    India
    Japan


  South America

    Brazil


  Middle East and Africa

    UAE


  Rest of World

By Component Insights

The hardware segment is estimated to witness significant growth during the forecast period.

Additive manufacturing, also known as 3D printing, is revolutionizing industrial production by enabling the creation of complex parts layer-by-layer. The market for this technology is in a high-growth stage, driven by the increasing adoption in industries such as aerospace, automotive, healthcare, and manufacturing. Industrial 3D printers, which use technologies like Fused Deposition Modeling (FDM), Stereolithography, Selective Laser Sintering (SLS), and Digital Light Processing (DLP), are at the heart of this process. These printers offer advantages such as enhanced material usage, functional parts precision, and reduced production expenses. The dental industry and education sector are witnessing significant growth in the utiliz

The latest closing stock price for Bank Of America as of May 27, 2025 is 44.22. An investor who bought $1,000 worth of Bank Of America stock at the IPO in 1984 would have $30,631 today, roughly 31 times their original investment - a 8.79% compound annual growth rate over 41 years. The all-time high Bank Of America stock closing price was 47.44 on February 06, 2025. The Bank Of America 52-week high stock price is 48.08, which is 8.7% above the current share price. The Bank Of America 52-week low stock price is 33.06, which is 25.2% below the current share price. The average Bank Of America stock price for the last 52 weeks is 42.15. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.