With a market capitalization of 3.12 trillion U.S. dollars as of May 2024, Microsoft was the world’s largest company that year. Rounding out the top five were some of the world’s most recognizable brands: Apple, NVIDIA, Google’s parent company Alphabet, and Amazon. Saudi Aramco led the ranking of the world's most profitable companies in 2023, with a pre-tax income of nearly 250 billion U.S. dollars. How are market value and market capitalization determined? Market value and market capitalization are two terms frequently used – and confused - when discussing the profitability and viability of companies. Strictly speaking, market capitalization (or market cap) is the worth of a company based on the total value of all their shares; an important metric when determining the comparative value of companies for trading opportunities. Accordingly, many stock exchanges such as the New York or London Stock Exchange release market capitalization data on their listed companies. On the other hand, market value technically refers to what a company is worth in a much broader context. It is determined by multiple factors, including profitability, corporate debt, and the market environment as a whole. In this sense it aims to estimate the overall value of a company, with share price only being one element. Market value is therefore useful for determining whether a company’s shares are over- or undervalued, and in arriving at a price if the company is to be sold. Such valuations are generally made on a case-by-case basis though, and not regularly reported. For this reason, market capitalization is often reported as market value. What are the top companies in the world? The answer to this question depends on the metric used. Although the largest company by market capitalization, Microsoft's global revenue did not manage to crack the top 20 companies. Rather, American multinational retailer Walmart was ranked as the largest company in the world by revenue. Walmart also had the highest number of employees in the world.

This dataset represent stock value of top 10 AI companies from 1990 until today. You will notice that many of those companies didn't exist in 20th century. However, today they represent the most important tech companies in the world, and their market capitalization is enormous.

These stocks are selected by Forbes Best AI Stocks To Invest

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 54 companies listed on the Prague Stock Exchange (XPRA) in Czech Republic. 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 Czech Republic:

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 Czech Republic:

Prague Stock Exchange (PX) Main Market Index: The main index that tracks the performance of domestic companies listed on the Prague Stock Exchange. Monitoring this index provides insights into the overall trends and performance of the Czech stock market.

Prague Stock Exchange (PX) TOP 10 Index: The index that includes the top 10 largest and most liquid companies listed on the Prague Stock Exchange. This index provides a snapshot of the performance of the largest players in the Czech market.

Banking Group A: A major banking group based in the Czech Republic, offering a range of financial services including retail banking, corporate banking, and investment services. Monitoring the stock of this banking group is a key indicator of the financial sector's health.

Automotive Manufacturer B: A significant automotive manufacturer in the Czech Republic, contributing to the country's strong automotive industry. The stock of this company reflects trends in the manufacturing and export-oriented sectors.

Energy Company C: A major player in the energy sector in the Czech Republic, involved in electricity generation, distribution, or related services. Monitoring the stock of this company provides insights into the energy sector's dynamics.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Czech Republic, 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 Czech Republic?

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 Czech Republic?

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 Czech Republic 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, Tec...

Corporate Profits in the United States increased to 3266.20 USD Billion in the second quarter of 2025 from 3203.60 USD Billion in the first quarter of 2025. This dataset provides the latest reported value for - United States Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The data in this dataset were collected in the result of the survey of Latvian society (2021) aimed at identifying high-value data set for Latvia, i.e. data sets that, in the view of Latvian society, could create the value for the Latvian economy and society.
The survey is created for both individuals and businesses.
It being made public both to act as supplementary data for "Towards enrichment of the open government data: a stakeholder-centered determination of High-Value Data sets for Latvia" paper (author: Anastasija Nikiforova, University of Latvia) and in order for other researchers to use these data in their own work.

The survey was distributed among Latvian citizens and organisations. The structure of the survey is available in the supplementary file available (see Survey_HighValueDataSets.odt)

***Description of the data in this data set: structure of the survey and pre-defined answers (if any)***
1. Have you ever used open (government) data? - {(1) yes, once; (2) yes, there has been a little experience; (3) yes, continuously, (4) no, it wasn’t needed for me; (5) no, have tried but has failed}
2. How would you assess the value of open govenment data that are currently available for your personal use or your business? - 5-point Likert scale, where 1 – any to 5 – very high
3. If you ever used the open (government) data, what was the purpose of using them? - {(1) Have not had to use; (2) to identify the situation for an object or ab event (e.g. Covid-19 current state); (3) data-driven decision-making; (4) for the enrichment of my data, i.e. by supplementing them; (5) for better understanding of decisions of the government; (6) awareness of governments’ actions (increasing transparency); (7) forecasting (e.g. trendings etc.); (8) for developing data-driven solutions that use only the open data; (9) for developing data-driven solutions, using open data as a supplement to existing data; (10) for training and education purposes; (11) for entertainment; (12) other (open-ended question)
4. What category(ies) of “high value datasets” is, in you opinion, able to create added value for society or the economy? {(1)Geospatial data; (2) Earth observation and environment; (3) Meteorological; (4) Statistics; (5) Companies and company ownership; (6) Mobility}
5. To what extent do you think the current data catalogue of Latvia’s Open data portal corresponds to the needs of data users/ consumers? - 10-point Likert scale, where 1 – no data are useful, but 10 – fully correspond, i.e. all potentially valuable datasets are available
6. Which of the current data categories in Latvia’s open data portals, in you opinion, most corresponds to the “high value dataset”? - {(1)Foreign affairs; (2) business econonmy; (3) energy; (4) citizens and society; (5) education and sport; (6) culture; (7) regions and municipalities; (8) justice, internal affairs and security; (9) transports; (10) public administration; (11) health; (12) environment; (13) agriculture, food and forestry; (14) science and technologies}
7. Which of them form your TOP-3? - {(1)Foreign affairs; (2) business econonmy; (3) energy; (4) citizens and society; (5) education and sport; (6) culture; (7) regions and municipalities; (8) justice, internal affairs and security; (9) transports; (10) public administration; (11) health; (12) environment; (13) agriculture, food and forestry; (14) science and technologies}
8. How would you assess the value of the following data categories?
8.1. sensor data - 5-point Likert scale, where 1 – not needed to 5 – highly valuable
8.2. real-time data - 5-point Likert scale, where 1 – not needed to 5 – highly valuable
8.3. geospatial data - 5-point Likert scale, where 1 – not needed to 5 – highly valuable
9. What would be these datasets? I.e. what (sub)topic could these data be associated with? - open-ended question
10. Which of the data sets currently available could be valauble and useful for society and businesses? - open-ended question
11. Which of the data sets currently NOT available in Latvia’s open data portal could, in your opinion, be valauble and useful for society and businesses? - open-ended question
12. How did you define them? - {(1)Subjective opinion; (2) experience with data; (3) filtering out the most popular datasets, i.e. basing the on public opinion; (4) other (open-ended question)}
13. How high could be the value of these data sets value for you or your business? - 5-point Likert scale, where 1 – not valuable, 5 – highly valuable
14. Do you represent any company/ organization (are you working anywhere)? (if “yes”, please, fill out the survey twice, i.e. as an individual user AND a company representative) - {yes; no; I am an individual data user; other (open-ended)}
15. What industry/ sector does your company/ organization belong to? (if you do not work at the moment, please, choose the last option) - {Information and communication services; Financial and ansurance activities; Accommodation and catering services; Education; Real estate operations; Wholesale and retail trade; repair of motor vehicles and motorcycles; transport and storage; construction; water supply; waste water; waste management and recovery; electricity, gas supple, heating and air conditioning; manufacturing industry; mining and quarrying; agriculture, forestry and fisheries professional, scientific and technical services; operation of administrative and service services; public administration and defence; compulsory social insurance; health and social care; art, entertainment and recreation; activities of households as employers;; CSO/NGO; Iam not a representative of any company
16. To which category does your company/ organization belong to in terms of its size? - {small; medium; large; self-employeed; I am not a representative of any company}
17. What is the age group that you belong to? (if you are an individual user, not a company representative) - {11..15, 16..20, 21..25, 26..30, 31..35, 36..40, 41..45, 46+, “do not want to reveal”}
18. Please, indicate your education or a scientific degree that corresponds most to you? (if you are an individual user, not a company representative) - {master degree; bachelor’s degree; Dr. and/ or PhD; student (bachelor level); student (master level); doctoral candidate; pupil; do not want to reveal these data}

***Format of the file***
.xls, .csv (for the first spreadsheet only), .odt

***Licenses or restrictions***
CC-BY

Japan's main stock market index, the JP225, rose to 42268 points on September 2, 2025, gaining 0.19% from the previous session. Over the past month, the index has climbed 4.91% and is up 9.26% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on September of 2025.

China's main stock market index, the SHANGHAI, rose to 3876 points on September 1, 2025, gaining 0.46% from the previous session. Over the past month, the index has climbed 8.16% and is up 37.87% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on September of 2025.

Amplify Energy has been written three times before and the previous write-ups and related comments give a good overview of the history of the Company and the quality of its asset base. DO EM GO’s write up in October 2020 was particularly well timed and the stock is up over 8X since that time, however the enterprise value is only 20% higher. Ray Palmer wrote it up in April of 2022 and the stock is up 12% since then but the enterprise value is 20% lower. The muted change in enterprise value has occurred as the Company has paid down over $100MM of debt while extending its reserve to production ratio. I believe the stock is cheaper and more derisked now than it has ever been (less than 1X debt/EBITDA) and on the cusp of major catalysts over the next 3-6 months that will uncover the tremendous value of Amplify’s assets. This write-up will focus specifically on two items which we believe haven’t been fully flushed out and create a path to significant cash flow inflection and share price gains which I expect to be above and beyond what has been discussed so far: 1) clarity on the enormous value of Beta and 2) specific actions planned by management to realize the massive undervaluation of its asset base. COMPANY OVERVIEW Amplify’s assets are mature properties that are generally past the higher decline stages typically characterized by newer production. Its production decline rate is only ~6% per year for the next decade, translating to a less capital-intensive business relative to most E&P companies, especially those in the unconventional/shale business that can have corporate decline rates of 25%-35%+. Amplify is more resilient against commodity price volatility and provides for higher FCF. This FCF is highly predictable with 85%-90% hedged for natural gas until year end 2025 and 45%-50% in 2026. The oil hedge position in 70-75% for 2024, 45%-50% in 2025 and 10-15% in 2026. A screenshot of a map Description automatically generated As the slide below shows, the Company is quite cheap based on its current proved, producing assets even with fairly draconian long term commodity price assumptions. The PV 10 analysis is very sensitive to long term strip prices, which for oil prices is currently in the mid $60s, however, I am of the opinion that long term prices will trend higher not lower in the long term. This undervaluation, however, is even more severe when one considers that the Beta PV10 is dinged for decommissioning liabilities that may be delayed by decades as discussed later. Based on a FCF valuation, the Company has guided to $20-$40 million of FCF in 2024 after $33-$40 million of growth expenditures. FCF yield to equity at midpoint is 12% with fully loaded capex and 27%, excluding Beta related growth capex. Amplify is one of the longest reserve lives and highest free cash flow yielding energy Company in my universe based on the just the existing asset base. A screenshot of a screen Description automatically generated THE BETA OPPORTUNITY The following slide gives an overview of the Beta asset: A map of oil and gas waters Description automatically generated Beta is a world-class oilfield initially discovered and developed by Shell in the 1980’s drilling low angle wells through the massive, highly permeable, stacked sandstones. The last significant drilling program in the asset consisted of 7 wells drilled by Amplify’s predecessor company. Three of these wells were drilled horizontally targeting the D-Sand and delivered 1st year average production of approximately 350 gross Bopd per well. The current development plan is designed to sidetrack out of existing, shut-in wells and horizontally target the D-Sand, utilizing the latest in rotary steerable and mapping well drilling technology to optimally place wells in areas with the highest remaining oil saturation. The Beta field has the potential to be a large growth asset for decades as there are still significant resources remaining to be recovered. The original oil in place estimates of the field range from 600 million to 1 billion barrels of oil and, with only approximately 100 million barrels recovered to date, the implied recovery factor is only between 11 to 16%. There are many analogue fields in the southern California basin with very similar reservoir properties that have recovered between 30 to 40% of the original oil in place. Implication being that there is 70 million to 260 million barrels of recoverable oil in place with the midpoint of estimates being 165 million barrels. These analogous fields generally have much tighter well spacing compared to the Beta field, which presents the opportunity for significant infill drilling. The key for faster drilling is to get your website indexed instantly by Google. BETA ECONOMICS AND VALUE The Company plans to increase production from Beta starting this year and 66% of its $50-$60 million 2024 capex budget is allocated to the Beta development and one time Beta facility upgrade. The remainder of the budget,...

Russia's main stock market index, the MOEX, rose to 2911 points on September 1, 2025, gaining 0.40% from the previous session. Over the past month, the index has climbed 4.94% and is up 14.29% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on September of 2025.

France's main stock market index, the FR40, fell to 7655 points on September 2, 2025, losing 0.69% from the previous session. Over the past month, the index has climbed 0.30% and is up 1.05% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on September of 2025.

This dataset was created to simulate a market basket dataset, providing insights into customer purchasing behavior and store operations. The dataset facilitates market basket analysis, customer segmentation, and other retail analytics tasks. Here's more information about the context and inspiration behind this dataset:

Context:

Retail businesses, from supermarkets to convenience stores, are constantly seeking ways to better understand their customers and improve their operations. Market basket analysis, a technique used in retail analytics, explores customer purchase patterns to uncover associations between products, identify trends, and optimize pricing and promotions. Customer segmentation allows businesses to tailor their offerings to specific groups, enhancing the customer experience.

Inspiration:

The inspiration for this dataset comes from the need for accessible and customizable market basket datasets. While real-world retail data is sensitive and often restricted, synthetic datasets offer a safe and versatile alternative. Researchers, data scientists, and analysts can use this dataset to develop and test algorithms, models, and analytical tools.

Dataset Information:

The columns provide information about the transactions, customers, products, and purchasing behavior, making the dataset suitable for various analyses, including market basket analysis and customer segmentation. Here's a brief explanation of each column in the Dataset:

• Transaction_ID: A unique identifier for each transaction, represented as a 10-digit number. This column is used to uniquely identify each purchase.
• Date: The date and time when the transaction occurred. It records the timestamp of each purchase.
• Customer_Name: The name of the customer who made the purchase. It provides information about the customer's identity.
• Product: A list of products purchased in the transaction. It includes the names of the products bought.
• Total_Items: The total number of items purchased in the transaction. It represents the quantity of products bought.
• Total_Cost: The total cost of the purchase, in currency. It represents the financial value of the transaction.
• Payment_Method: The method used for payment in the transaction, such as credit card, debit card, cash, or mobile payment.
• City: The city where the purchase took place. It indicates the location of the transaction.
• Store_Type: The type of store where the purchase was made, such as a supermarket, convenience store, department store, etc.
• Discount_Applied: A binary indicator (True/False) representing whether a discount was applied to the transaction.
• Customer_Category: A category representing the customer's background or age group.
• Season: The season in which the purchase occurred, such as spring, summer, fall, or winter.
• Promotion: The type of promotion applied to the transaction, such as "None," "BOGO (Buy One Get One)," or "Discount on Selected Items."

Use Cases:

• Market Basket Analysis: Discover associations between products and uncover buying patterns.
• Customer Segmentation: Group customers based on purchasing behavior.
• Pricing Optimization: Optimize pricing strategies and identify opportunities for discounts and promotions.
• Retail Analytics: Analyze store performance and customer trends.

Note: This dataset is entirely synthetic and was generated using the Python Faker library, which means it doesn't contain real customer data. It's designed for educational and research purposes.

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.

Canada's main stock market index, the TSX, fell to 28549 points on September 2, 2025, losing 0.06% from the previous session. Over the past month, the index has climbed 3.55% and is up 23.90% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Canada. Canada Stock Market Index (TSX) - values, historical data, forecasts and news - updated on September of 2025.

Corporate Profits in the United Kingdom decreased to 147684 GBP Million in the second quarter of 2025 from 147879 GBP Million in the first quarter of 2025. This dataset provides the latest reported value for - United Kingdom Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This statistic shows the ranking of the global top 10 biotech and pharmaceutical companies worldwide, based on revenue. The values are based on a 2025 database. U.S. pharmaceutical company Pfizer was ranked first, with a total revenue of around ** billion U.S. dollars. Biotech and pharmaceutical companiesPharmaceutical companies are best known for manufacturing pharmaceutical drugs. These drugs have the aim to diagnose, to cure, to treat, or to prevent diseases. The pharmaceutical sector represents a huge industry, with the global pharmaceutical market being worth around *** trillion U.S. dollars. The best known top global pharmaceutical players are Pfizer, Merck, and Johnson & Johnson from the U.S., Novartis and Roche from Switzerland, Sanofi from France, etc. Most of these companies are involved not only in pure pharmaceutical business, but also manufacture medical technology and consumer health products, vaccines, etc. There are both pure play biotechnology companies and pharmaceutical companies which among other products also produce biotech products within their biotechnological divisions. Most of the leading global pharmaceutical companies have biopharmaceutical divisions. Although not a pure play biotech firm, Roche from Switzerland is among the companies with the largest revenues from biotechnology products worldwide. In contrast, California-based company Amgen was one of the world’s first large pure play biotech companies. Biotech companies use biotechnology to generate their products, most often medical drugs or agricultural genetic engineering. The latter segment is dominated by companies like Bayer CropScience and Syngenta. The United Nations Convention on Biological Diversity defines biotechnology as follows: "Any technological application that uses biological systems, living organisms, or derivatives thereof, to make or modify products or processes for specific use." In fact, biotechnology is thousands of years old, used in agriculture, food manufacturing and medicine.

The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027.

What is Big data?

Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets.

Big data analytics

Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.

Over the past decade, Oracle Corporation’s annual revenue has grown from around ** billion U.S. dollars to almost ** billion, with fiscal year 2024 marking one of the company’s highest revenue figures to date. The company’s cloud services and license support segment is its biggest earner, accounting for more than half of its overall revenues. Oracle Corporation Oracle was founded by Larry Ellison in 1977, as a tech company primarily focused on relational databases. Today Oracle ranks among the largest companies in the world in terms of market value, and serves as the world’s most popular database management system provider. Oracle’s database products have remained popular throughout the years, and the company has more recently widened its focus to include cloud computing resources as well. Cloud computing Like Oracle, many of the world’s largest technology companies have begun to dedicate significant portions of their resources towards the development of cloud computing platforms and services. Cloud computing allows customers to make use of storage and computing resources without the need for physical server equipment. The public cloud computing market brings in hundreds of billions of dollars’ worth of revenue each year, and being a relatively new technology, shows no signs of slowing down. The fiscal year end of the company is May, 31st.

In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.