The Annual Business Survey (ABS) provides information on selected economic and demographic characteristics for businesses and business owners by sex, ethnicity, race, and veteran status. Further, the survey measures research and development (for microbusinesses), new business topics such as innovation and technology, as well as other business characteristics. The U.S. Census Bureau and the National Center conduct the ABS jointly for Science and Engineering Statistics within the National Science Foundation. The ABS replaces the five-year Survey of Business Owners (SBO) for employer businesses, the Annual Survey of Entrepreneurs (ASE), the Business R&D and Innovation for Microbusinesses survey (BRDI-M), and the innovation section of the Business R&D and Innovation Survey (BRDI-S). https://www.census.gov/programs-surveys/abs.html

Comprehensive dataset containing 281 verified Trucking company businesses in RS with complete contact information, ratings, reviews, and location data.

This dataset provides comprehensive daily stock price data for NVIDIA Corporation (NVDA) and five key companies that play a crucial role in NVIDIA's success through manufacturing and research collaborations. The companies included are:

• TSMC (TSM): NVIDIA's primary chip manufacturer, responsible for producing its cutting-edge GPUs.
• Samsung Electronics (005930.KS): A major partner in NVIDIA’s chip fabrication, providing advanced semiconductor manufacturing services that contribute to NVIDIA’s GPU production capacity and diversification.
• ASML (ASML): Supplies the lithography equipment used in the advanced manufacturing of NVIDIA’s chips. ASML’s EUV technology is critical for creating NVIDIA’s high-performance GPUs.
• Synopsys (SNPS): Provides critical electronic design automation (EDA) tools used in the development of NVIDIA’s complex semiconductors, enabling accurate design and efficient production.
• Cadence Design Systems (CDNS): A key partner in providing design and simulation tools for NVIDIA’s chip development process, essential for the growing complexity of NVIDIA’s architectures.

The dataset includes daily price data for each company, such as opening price, closing price, highest price, lowest price, and trading volume. This collection is ideal for financial analysis, stock market predictions, and understanding how these key affiliated companies contribute to NVIDIA’s business and technological innovations.

This dataset enables researchers, analysts, and traders to explore the relationship between NVIDIA’s performance and the companies that are integral to its manufacturing processes and research projects, particularly in semiconductor fabrication and design.

Comprehensive dataset containing 13 verified Media company businesses in LI with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 11 verified Insurance company businesses in EH with complete contact information, ratings, reviews, and location data.

Get verified company data from official trade registers with 979K records in New Zealand or 380M globally. Access full databases or tailored lists via Excel, CSV or API. Accurate, up-to-date business data to power your compliance, sales and marketing success.

Comprehensive dataset containing 10 verified Pharmaceutical company businesses in ME with complete contact information, ratings, reviews, and location data.

Access verified company data from official trade registers with 1.83 million company records in Vietnam or 380 million globally. Delivered via API, Excel, or CSV. Accurate, structured data for compliance, sales, marketing, and more.

Techsalerator's Corporate Actions Dataset in Sri Lanka offers a comprehensive collection of data fields related to corporate actions, providing valuable insights for investors, traders, and financial institutions. This dataset includes crucial information about the various financial instruments of all 289 companies traded on the Colombo Stock Exchange (XCOL).

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Top 5 used data fields in the Corporate Actions Dataset for Sri Lanka:

• Dividend Declaration Date: The date on which a company's board of directors announces the dividend payout to its shareholders. This information is crucial for investors who rely on dividends as a source of income.

• Stock Split Ratio: The ratio by which a company's shares are split to increase liquidity and affordability. This field is essential for understanding changes in share structure.

• Merger Announcement Date: The date on which a company officially announces its intention to merge with another entity. This field is crucial for investors assessing the impact of potential mergers on their investments.

• Rights Issue Record Date: The date on which shareholders must be on the company's books to be eligible for participating in a rights issue. This data helps investors plan their participation in fundraising events.

• Bonus Issue Ex-Date: The date on which a company's shares start trading without the value of the bonus issue. This information is vital for investors to adjust their portfolios accordingly.

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Top 5 corporate actions in Sri Lanka:

Equity Issuances: Sri Lankan companies often engage in equity issuances such as initial public offerings (IPOs) or rights issues to raise capital for expansion and growth.

Mergers and Acquisitions (M&A): Corporate actions related to mergers, acquisitions, and takeovers play a role in shaping industry landscapes and consolidation in Sri Lanka.

Foreign Direct Investment (FDI): Corporate actions involving foreign investment and joint ventures contribute to economic growth and international collaboration in various sectors.

Debt Issuances: Sri Lankan businesses may issue bonds or other debt instruments to raise funds for capital investments and operational needs.

Dividend Declarations: Companies often announce dividends to distribute profits to shareholders, reflecting financial performance and commitment to shareholder value.

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Top 5 financial instruments with corporate action Data in Sri Lanka

Colombo Stock Exchange (CSE) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Colombo Stock Exchange. This index would provide insights into the performance of the Sri Lankan stock market.

Colombo Stock Exchange (CSE) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Colombo Stock Exchange. This index would give an overview of foreign business involvement in Sri Lanka.

LankaMart: A Sri Lanka-based supermarket chain with operations in multiple regions. LankaMart focuses on offering high-quality products and services to local and international customers.

Inclusive Finance Lanka: A financial services provider with operations across various markets, including Sri Lanka. Inclusive Finance Lanka emphasizes financial inclusion and access to services for underserved populations.

GreenSeed Lanka: A leading producer and distributor of sustainable agricultural products and certified crop seeds in various countries, including Sri Lanka. GreenSeed Lanka contributes to Sri Lanka's commitment to sustainability and responsible agricultural practices.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Sri Lanka, 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:

Dividend Declaration Date Stock Split Ratio Merger Announcement Date Rights Issue Record Date Bonus Issue Ex-Date Stock Buyback Date Spin-Off Announcement Date Dividend Record Date Merger Effective Date Rights Issue Subscription Price ‍

Q&A:

How much does the Corporate Actions Dataset cost in Sri Lanka?

The cost of the Corporate Actions 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.

How complete is the Corporate Actions Dataset coverage in Sri Lanka?

Techsalerator provides comprehensive coverage of Corporate Actions Data for various companies and securities traded on the Sri Lanka Stock Exchange. The dataset encompasses major corporate actions announced by entities in the Sri Lanka market.

How does Techsale...

Comprehensive dataset containing 189 verified BPO company businesses in Mexico with complete contact information, ratings, reviews, and location data.

Investments Time Series for American Express Company. American Express Company, together with its subsidiaries, operates as integrated payments company in the United States, Europe, the Middle East and Africa, the Asia Pacific, Australia, New Zealand, Latin America, Canada, the Caribbean, and Internationally. It operates through four segments: U.S. Consumer Services, Commercial Services, International Card Services, and Global Merchant and Network Services. The company's products and services include credit card, charge card, banking, and other payment and financing products; network services; expense management products and services; and travel and lifestyle services. It also provides merchant acquisition and processing, servicing and settlement, point-of-sale marketing, and information products and services for merchants; and fraud prevention services, as well as the design and operation of customer loyalty programs. In addition, the company leases and operates lounges at airports. Further, it designs and develops a software to manage company expenses. The company sells its products and services to consumers, small businesses, mid-sized companies, and large corporations through mobile and online applications, affiliate marketing, customer referral programs, third-party service providers and business partners, direct mail, telephone, in-house sales teams, telephone, and direct response advertising. American Express Company was founded in 1850 and is based in New York, New York.

Dataset

This dataset was created by asfakkaggle

Contents

📖 Description

This dataset simulates the financial and ESG (Environmental, Social, and Governance) performance of 1,000 global companies across 9 industries and 7 regions from 2015 to 2025. It contains realistic financial metrics (e.g., revenue, profit margins, market capitalization) alongside comprehensive ESG indicators, including carbon emissions, resource usage, and detailed ESG scores.

Ideal for: - ✅ Regression and classification (e.g., predicting market cap, ESG scores) - ✅ Clustering and segmentation (industry or ESG performance) - ✅ Time-series analysis and forecasting (financial growth, ESG trends) - ✅ Exploring ESG-financial relationships for sustainable investing strategies.

📌 Dataset Details

• Size: 11,000 rows × 16 columns
• Companies: 1,000 unique entities
• Period: Annual data from 2015 to 2025

🗂️ Columns Explained

🔑 Why This Dataset is Unique & Valuable

• ESG and finance intersection: Explore how sustainability impacts corporate performance.
• Synthetic yet realistic: No privacy concerns, fully customizable, with realistic noise and patterns.
• Versatile for ML: Benchmark algorithms on regression, classification, clustering, and forecasting tasks.

📈 Potential Use-Cases

• ESG scoring models
• Financial forecasting and valuation modeling
• Sustainability impact studies
• Investment strategy simulations
• Corporate risk analysis

LinkedIn Company Data for Company Analysis, Valuation & Portfolio Strategy LinkedIn company data is one of the most powerful forms of alternative data for understanding company behavior, firmographics, business dynamics, and real-time hiring signals. Canaria’s enriched LinkedIn company data provides detailed company profiles, including hiring activity, job postings, employee trends, headquarters and branch locations, and verified metadata from Google Maps. This LinkedIn corporate data is updated weekly and optimized for use in company analysis, startup scouting, private company valuation, and investment monitoring. It supports BI dashboards, risk models, CRM enrichment, and portfolio strategy.

Use Cases: What Problems This LinkedIn Data Solves Our LinkedIn company insights transform opaque business landscapes into structured, analyzable data. Whether you’re conducting M&A due diligence, tracking high-growth companies, or benchmarking performance, this dataset empowers fast, confident decisions.

Company Analysis • Identify a company’s size, industry classification, and headcount signals using LinkedIn firmographic data • Analyze social presence through LinkedIn follower metrics and employee engagement • Understand geographic expansion through branch locations and hiring distribution • Benchmark companies using LinkedIn profile activity and job posting history • Monitor business changes with real-time LinkedIn updates

Company Valuation & Financial Benchmarking • Feed LinkedIn-based firmographics into comps and financial models • Use hiring velocity from LinkedIn job data as a proxy for business growth • Strengthen private market intelligence with verified non-financial signals • Validate scale, structure, and presence via LinkedIn and Google Maps footprint

Company Risk Analysis • Detect red flags using hiring freezes or drop in profile activity • Spot market shifts through location downsizing or organizational changes • Identify distressed companies with decreased LinkedIn job posting frequency • Compare stated presence vs. active behavior to identify risk anomalies

Business Intelligence (BI) & Strategic Planning • Segment companies by industry, headcount, growth behavior, and hiring activity • Build BI dashboards integrating LinkedIn job trends and firmographic segmentation • Identify geographic hiring hotspots using Maps and LinkedIn signal overlays • Track job creation, title distribution, and skill demand in near real-time • Export filtered LinkedIn corporate data into CRMs, analytics tools, and lead scoring systems

Portfolio Management & Investment Monitoring • Enhance portfolio tracking with LinkedIn hiring data and firmographic enrichment • Spot hiring surges, geographic expansions, or restructuring in real-time • Correlate LinkedIn growth indicators with strategic outcomes • Analyze competitors and targets using historical and real-time LinkedIn data • Generate alerts for high-impact company changes in your portfolio universe

What Makes This LinkedIn Company Data Unique

Includes Real-Time Hiring Signals • Gain visibility into which companies are hiring, at what scale, and for which roles using enriched LinkedIn job data

Verified Location Intelligence • Confirm branch and HQ locations with Google Maps coordinates and public company metadata

Weekly Updates • Stay ahead of the market with fresh, continuously updated LinkedIn company insights

Clean & Analysis-Ready Format • Structured, deduplicated, and taxonomy-mapped data that integrates with CRMs, BI platforms, and investment models

Who Benefits from LinkedIn Company Data • Hedge funds, VCs, and PE firms analyzing startup and private company activity • Portfolio managers and financial analysts tracking operational shifts • Market research firms modeling sector momentum and firmographics • Strategy teams calculating market size using LinkedIn company footprints • BI and analytics teams building company-level dashboards • Compliance and KYC teams enriching company identity records • Corp dev teams scouting LinkedIn acquisition targets and expansion signals

Summary Canaria’s LinkedIn company data delivers high-frequency, high-quality insights into U.S. companies, combining job posting trends, location data, and firmographic intelligence. With real-time updates and structured delivery formats, this alternative dataset enables powerful workflows across company analysis, financial modeling, investment research, market segmentation, and business strategy.

About Canaria Inc. Canaria Inc. is a leader in alternative data, specializing in job market intelligence, LinkedIn company data, and Glassdoor salary analytics. We deliver clean, structured, and enriched datasets at scale using proprietary data scraping pipelines and advanced AI/LLM-based modeling, all backed by human validation. Our AI-powered pipeline is developed by a seasoned team of machine learning experts from Google, Meta, and Amazon, and by alumni of Stanford, Caltech, and Columbia ...

This horizontal bar chart displays revenues ($) by company type using the aggregation sum in Woodway. The data is about companies.

Deere & Company manufactures and distributes various equipment worldwide. The company operates through four segments: Production and Precision Agriculture, Small Agriculture and Turf, Construction and Forestry, and Financial Services. The Production and Precision Agriculture segment provides mid-size tractors, combines, cotton pickers and strippers, sugarcane harvesters, harvesting front-end equipment, sugarcane loaders, pull-behind scrapers, and tillage and seeding equipment, as well as application equipment, including sprayers and nutrient management, and soil preparation machinery for grain growers. The Small Agriculture and Turf segment offers utility tractors, and related loaders and attachments; turf and utility equipment, including riding lawn equipment, commercial mowing equipment, golf course equipment, and utility vehicles, as well as implements for mowing, tilling, snow and debris handling, aerating, residential, commercial, golf, and sports turf care applications; other outdoor power products; and hay and forage equipment. This segment also resells products from other manufacturers. It serves dairy and livestock producers, crop producers, and turf and utility customers. The Construction and Forestry segment provides a range of backhoe loaders, crawler dozers and loaders, four-wheel-drive loaders, excavators, motor graders, articulated dump trucks, landscape and skid-steer loaders, milling machines, pavers, compactors, rollers, crushers, screens, asphalt plants, log skidders, log feller bunchers, log loaders and forwarders, log harvesters, and attachments; and roadbuilding equipment. The Financial Services segment finances sales and leases agriculture and turf, and construction and forestry equipment. It also offers wholesale financing to dealers of the foregoing equipment; and extended equipment warranties, as well as finances retail revolving charge accounts. Deere & Company was founded in 1837 and is headquartered in Moline, Illinois.

With 6,000 Businesses in Armenia , Techsalerator has access to the highest B2B count of Data/ B2B Data in the country.

Thanks to our unique tools and large data specialist team, we are able to select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

Number of existing companies and paid-up capital on the Company Registration (by type of organization and industry)

No of Company: RG: Mining and Quarrying data was reported at 4,121.000 Unit in Oct 2018. This records a decrease from the previous number of 4,131.000 Unit for Sep 2018. No of Company: RG: Mining and Quarrying data is updated monthly, averaging 3,576.000 Unit from Jan 2007 (Median) to Oct 2018, with 142 observations. The data reached an all-time high of 4,198.000 Unit in Sep 2017 and a record low of 2,996.000 Unit in Nov 2008. No of Company: RG: Mining and Quarrying data remains active status in CEIC and is reported by Ministry of Economic Affairs. The data is categorized under Global Database’s Taiwan – Table TW.O010: Number of Company: Registered: By Industry.

United States US: Cost of Business Start-Up Procedures: % of GNI per Capita data was reported at 1.100 % in 2017. This stayed constant from the previous number of 1.100 % for 2016. United States US: Cost of Business Start-Up Procedures: % of GNI per Capita data is updated yearly, averaging 1.100 % from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 1.200 % in 2014 and a record low of 1.100 % in 2017. United States US: Cost of Business Start-Up Procedures: % of GNI per Capita 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: Company Statistics. Cost to register a business is normalized by presenting it as a percentage of gross national income (GNI) per capita.; ; World Bank, Doing Business project (http://www.doingbusiness.org/).; Unweighted average; Data are presented for the survey year instead of publication year.