The Small Business Administration maintains the Dynamic Small Business Search (DSBS) database. As a small business registers in the System for Award Management, there is an opportunity to fill out the small business profile. The information provided populates DSBS. DSBS is another tool contracting officers use to identify potential small business contractors for upcoming contracting opportunities. Small businesses can also use DSBS to identify other small businesses for teaming and joint venturing.

This data contains all Corporations and Other Entity filings in the Department of State electronic database. Each record contains the Department of State ID number, Filing ID, Date Filed, Effective Date, Entity Name, the law under which the filing was made and other pertinent filing information.

The statistic shows the success rate of various big data initiatives as of 2019, according to a survey of industry-leading firms, primarily in the United States. As of that time, 59.5 percent of respondents reported having seen measurable results from big data initiatives to decrease expenses.

Success.ai offers a cutting-edge solution for businesses and organizations seeking Company Financial Data on private and public companies. Our comprehensive database is meticulously crafted to provide verified profiles, including contact details for financial decision-makers such as CFOs, financial analysts, corporate treasurers, and other key stakeholders. This robust dataset is continuously updated and validated using AI technology to ensure accuracy and relevance, empowering businesses to make informed decisions and optimize their financial strategies.

Key Features of Success.ai's Company Financial Data:

Global Coverage: Access data from over 70 million businesses worldwide, including public and private companies across all major industries and regions. Our datasets span 250+ countries, offering extensive reach for your financial analysis and market research.

Detailed Financial Profiles: Gain insights into company financials, including revenue, profit margins, funding rounds, and operational costs. Profiles are enriched with key contact details, including work emails, phone numbers, and physical addresses, ensuring direct access to decision-makers.

Industry-Specific Data: Tailored datasets for sectors such as financial services, manufacturing, technology, healthcare, and energy, among others. Each dataset is customized to meet the unique needs of industry professionals and analysts.

Real-Time Accuracy: With continuous updates powered by AI-driven validation, our financial data maintains a 99% accuracy rate, ensuring you have access to the most reliable and up-to-date information available.

Compliance and Security: All data is collected and processed in strict adherence to global compliance standards, including GDPR, ensuring ethical and lawful usage.

Why Choose Success.ai for Company Financial Data?

Best Price Guarantee: We pride ourselves on offering the most competitive pricing in the industry, ensuring you receive unparalleled value for comprehensive financial data.

AI-Validated Accuracy: Our advanced AI algorithms meticulously verify every data point to ensure precision and reliability, helping you avoid costly errors in your financial decision-making.

Customized Data Solutions: Whether you need data for a specific region, industry, or type of business, we tailor our datasets to align perfectly with your requirements.

Scalable Data Access: From small startups to global enterprises, our platform caters to businesses of all sizes, delivering scalable solutions to suit your operational needs.

Comprehensive Use Cases for Financial Data:

1. Strategic Financial Planning:

Leverage our detailed financial profiles to create accurate budgets, forecasts, and strategic plans. Gain insights into competitors’ financial health and market positions to make data-driven decisions.

1. Mergers and Acquisitions (M&A):

Access key financial details and contact information to streamline your M&A processes. Identify potential acquisition targets or partners with verified profiles and financial data.

1. Investment Analysis:

Evaluate the financial performance of public and private companies for informed investment decisions. Use our data to identify growth opportunities and assess risk factors.

1. Lead Generation and Sales:

Enhance your sales outreach by targeting CFOs, financial analysts, and other decision-makers with verified contact details. Utilize accurate email and phone data to increase conversion rates.

1. Market Research:

Understand market trends and financial benchmarks with our industry-specific datasets. Use the data for competitive analysis, benchmarking, and identifying market gaps.

APIs to Power Your Financial Strategies:

Enrichment API: Integrate real-time updates into your systems with our Enrichment API. Keep your financial data accurate and current to drive dynamic decision-making and maintain a competitive edge.

Lead Generation API: Supercharge your lead generation efforts with access to verified contact details for key financial decision-makers. Perfect for personalized outreach and targeted campaigns.

Tailored Solutions for Industry Professionals:

Financial Services Firms: Gain detailed insights into revenue streams, funding rounds, and operational costs for competitor analysis and client acquisition.

Corporate Finance Teams: Enhance decision-making with precise data on industry trends and benchmarks.

Consulting Firms: Deliver informed recommendations to clients with access to detailed financial datasets and key stakeholder profiles.

Investment Firms: Identify potential investment opportunities with verified data on financial performance and market positioning.

What Sets Success.ai Apart?

Extensive Database: Access detailed financial data for 70M+ companies worldwide, including small businesses, startups, and large corporations.

Ethical Practices: Our data collection and processing methods are fully comp...

InfoGroup’s Historical Business Backfile consists of geo-coded records of millions of US businesses and other organizations that contain basic information on each entity, such as: contact information, industry description, annual revenues, number of employees, year established, and other data. Each annual file consists of a “snapshot” of InfoGroup’s data as of the last day of each year, creating a time series of data 1997-2019. Access is restricted to current Harvard University community members. Use of Infogroup US Historical Business Data is subject to the terms and conditions of a license agreement (effective March 16, 2016) between Harvard and Infogroup Inc. and subject to applicable laws. Most data files are available in either .csv or .sas format. All data files are compressed into an archive in .gz, or GZIP, format. Extraction software such as 7-Zip is required to unzip these archives.

This data contains Corporation and Other Business Entity Name information for each entity. Each record contains a current or previous name for an entity in the electronic database. The records include the Department of State ID number, Date Filed, Name Type and Name Status.

With 1.5 Million Businesses in Ukraine, Techsalerator has access to the highest B2B count of Data/Business Data in the country.

Thanks to our unique tools and large data specialist team, we can 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.

We cover all regions and cities: ( example) Kyiv Київ Kyiv Kharkiv Харків Kharkiv Oblast Odesa Одеса Odesa Oblast Dnipro Дніпро Dnipropetrovsk Oblast Donetsk Донецьк Donetsk Oblast Zaporizhzhia Запоріжжя Zaporizhzhia Oblast Lviv Львів Lviv Oblast Kryvyi Rih Кривий Ріг Dnipropetrovsk Oblast Mykolaiv Миколаїв Mykolaiv Oblast Sevastopol Севастополь Sevastopol Mariupol Маріуполь Donetsk Oblast Luhansk Луганськ Luhansk Oblast Vinnytsia Вінниця Vinnytsia Oblast Makiivka Макіївка Donetsk Oblast Simferopol Сімферополь Crimea Chernihiv Чернігів Chernihiv Oblast Kherson Херсон Kherson Oblast Poltava Полтава Poltava Oblast Khmelnytskyi Хмельницький Khmelnytskyi Oblast Cherkasy Черкаси Cherkasy Oblast Chernivtsi Чернівці Chernivtsi Oblast Zhytomyr Житомир Zhytomyr Oblast Sumy Суми Sumy Oblast Rivne Рівне Rivne Oblast Horlivka Горлівка Donetsk Oblast Ivano-Frankivsk Івано-Франківськ Ivano-Frankivsk Oblast Kamianske Кам'янське Dnipropetrovsk Oblast Ternopil Тернопіль Ternopil Oblast Kropyvnytskyi Кропивницький Kirovohrad Oblast Kremenchuk Кременчук Poltava Oblast Lutsk Луцьк Volyn Oblast Bila Tserkva Біла Церква Kyiv Oblast Kerch Керч Crimea Melitopol Мелітополь Zaporizhzhia Oblast Kramatorsk Краматорськ Donetsk Oblast Uzhhorod Ужгород Zakarpattia Oblast Brovary Бровари Kyiv Oblast Yevpatoria Євпаторія Crimea Berdiansk Бердянськ Zaporizhzhia Oblast Nikopol Нікополь Dnipropetrovsk Oblast Sloviansk Слов'янськ Donetsk Oblast Alchevsk Алчевськ Luhansk Oblast Pavlohrad Павлоград Dnipropetrovsk Oblast Sieverodonetsk Сєверодонецьк Luhansk Oblast Kamianets-Podilskyi Кам'янець-Подільський Khmelnytskyi Oblast Lysychansk Лисичанськ Luhansk Oblast Mukachevo Мукачево Zakarpattia Oblast Konotop Конотоп Sumy Oblast Uman Умань Cherkasy Oblast Khrustalnyi Хрустальний Luhansk Oblast Yalta Ялта Crimea Oleksandriia Олександрія Kirovohrad Oblast Yenakiieve Єнакієве Donetsk Oblast Drohobych Дрогобич Lviv Oblast Berdychiv Бердичів Zhytomyr Oblast Kadiyivka Кадіївка Luhansk Oblast Shostka Шостка Sumy Oblast Bakhmut Бахмут Donetsk Oblast Izmail Ізмаїл Odesa Oblast Novomoskovsk Новомосковськ Dnipropetrovsk Oblast Kostiantynivka Костянтинівка Donetsk Oblast Kovel Ковель Volyn Oblast Feodosiya Феодосія Crimea Nizhyn Ніжин Chernihiv Oblast Smila Сміла Cherkasy Oblast Kalush Калуш Ivano-Frankivsk Oblast Chervonohrad Червоноград Lviv Oblast Boryspil Бориспіль Kyiv Oblast Pervomaisk Первомайськ Mykolaiv Oblast Dovzhansk Довжанськ Luhansk Oblast Irpin Ірпінь Kyiv Oblast Korosten Коростень Zhytomyr Oblast Pokrovsk Покровськ Donetsk Oblast Kolomyia Коломия Ivano-Frankivsk Oblast Stryi Стрий Lviv Oblast Chornomorsk Чорноморськ Odesa Oblast Khartsyzk Харцизьк Donetsk Oblast Rubizhne Рубіжне Luhansk Oblast Novohrad-Volynskyi Новоград-Волинський Zhytomyr Oblast Druzhkivka Дружківка Donetsk Oblast Lozova Лозова Kharkiv Oblast Chystiakove Чистякове Donetsk Oblast Enerhodar Енергодар Zaporizhzhia Oblast Pryluky Прилуки Chernihiv Oblast Antratsyt Антрацит Luhansk Oblast Novovolynsk Нововолинськ Volyn Oblast Horishni Plavni Горішні Плавні Poltava Oblast Shakhtarsk Шахтарськ Donetsk Oblast Bilhorod-Dnistrovskyi Білгород-Дністровський Odesa Oblast Okhtyrka Охтирка Sumy Oblast Myrnohrad Мирноград Donetsk Oblast Snizhne Сніжне Donetsk Oblast Izium Ізюм Kharkiv Oblast Marhanets Марганець Dnipropetrovsk Oblast Rovenky Ровеньки Luhansk Oblast Nova Kakhovka Нова Каховка Kherson Oblast Brianka Брянка Luhansk Oblast Fastiv Фастів Kyiv Oblast Lubny Лубни Poltava Oblast Svitlovodsk Світловодськ Kirovohrad Oblast Zhovti Vody Жовті Води Dnipropetrovsk Oblast Sorokyne Сорокине Luhansk Oblast Vyshneve Вишневе Kyiv Oblast Varash Вараш Rivne Oblast Shepetivka Шепетівка Khmelnytskyi Oblast Podilsk Подільськ Odesa Oblast Yuzhnoukrainsk Южноукраїнськ Mykolaiv Oblast Myrhorod Миргород Poltava Oblast Romny Ромни Sumy Oblast Pokrov Покров Dnipropetrovsk Oblast Volodymyr-Volynskyi Володимир-Волинський Volyn Oblast Dzhankoy Джанкой Crimea Vasylkiv Васильків Kyiv Oblast Dubno Дубно Rivne Oblast Bucha Буча Kyiv Oblast Netishyn Нетішин Khmelnytskyi Oblast Pervomaisk Первомайськ Luhansk Oblast Kakhovka Каховка Kherson Oblast Boiarka Боярка Kyiv Oblast Slavuta Славута Khmelnytskyi Oblast Sambir Самбір Lviv Oblast Yasynuvata Ясинувата Donetsk Oblast Starokostiantyniv Старокостянтинів Khmelnytskyi Oblast Zhmerynka ...

When data and analytics leaders throughout Europe and the United States were asked whether their companies have a corporate initiative to become a more data-driven organization, approximately two-thirds answered that they currently do have an initiative in place, as of 2021. Only 3 percent of those surveyed answered that they do not have an initiative, nor will they implement one in the future.

Corporate Profits in the United States decreased to 3128.50 USD Billion in the third quarter of 2024 from 3141.56 USD Billion in the second quarter of 2024. 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 global big data and business analytics (BDA) market was valued at 168.8 billion U.S. dollars in 2018 and is forecast to grow to 215.7 billion U.S. dollars by 2021. In 2021, more than half of BDA spending will go towards services. IT services is projected to make up around 85 billion U.S. dollars, and business services will account for the remainder. Big data High volume, high velocity and high variety: one or more of these characteristics is used to define big data, the kind of data sets that are too large or too complex for traditional data processing applications. 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. For example, connected IoT devices are projected to generate 79.4 ZBs of data in 2025. Business analytics Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate business insights. The size of the business intelligence and analytics software application market is forecast to reach around 16.5 billion U.S. dollars in 2022. Growth in this market is driven by a focus on digital transformation, a demand for data visualization dashboards, and an increased adoption of cloud.

Corporate Services archive of details of ministerial, official and Freedom of Information correspondence. External person name, SPVA case officer and remarks.

United States Assets: Flow: FB: DS: Corporate & Foreign Bonds data was reported at 79.254 USD bn in Jun 2018. This records a decrease from the previous number of 189.829 USD bn for Mar 2018. United States Assets: Flow: FB: DS: Corporate & Foreign Bonds data is updated quarterly, averaging 8.940 USD bn from Dec 1951 (Median) to Jun 2018, with 267 observations. The data reached an all-time high of 260.942 USD bn in Sep 2010 and a record low of -323.134 USD bn in Dec 2008. United States Assets: Flow: FB: DS: Corporate & Foreign Bonds data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.AB010: Funds by Sector: Flows and Outstanding: Domestic Financial Business.

This layer contains data on the number of establishments, total employment, and total annual payroll for for 20 selected 4- and 5-digit North American Industry Classification System (NAICS) codes. This is shown by county and state boundaries. The full CBP data set (available at census.gov) is updated annually to contain the most currently released CBP data. This layer is symbolized to show the total number of establishments depicted by size, and the average annual pay per employee, depicted by color.

Current Vintage: 2017

CBP Table: CB1700CBP

Data downloaded from: Census Bureau's API for County Business Patterns

Date of API call: June 1, 2019

The United States Census Bureau's County Business Patterns Program (CBP):

About this Program Data Technical Documentation News & Updates

This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census Bureau and CBP when using this data.

Data Processing Notes: Boundaries come from the US Census Bureau TIGER geodatabases. Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census Bureau. These are Census Bureau boundaries with water and/or coastlines clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 56 records - all US states, Washington D.C., Puerto Rico, and U.S. Island Areas Blank values represent industries where there either were no businesses in that industry and that geography OR industries where the data had to be withheld to avoid disclosing data for individual companies. Users should visit data.census.gov or Census Business Builder for more details on these withheld records.

United States NCB: Assets: Financial: US Direct Inv Abroad: Intercompany Equity data was reported at -63.020 USD bn in Sep 2024. This records an increase from the previous number of -72.601 USD bn for Jun 2024. United States NCB: Assets: Financial: US Direct Inv Abroad: Intercompany Equity data is updated quarterly, averaging 26.067 USD bn from Dec 1951 (Median) to Sep 2024, with 292 observations. The data reached an all-time high of 228.170 USD bn in Sep 2014 and a record low of -79.562 USD bn in Sep 2022. United States NCB: Assets: Financial: US Direct Inv Abroad: Intercompany Equity data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.AB073: Balance Sheet: Nonfinancial Corporate Business.

Graph and download economic data for Quarterly Financial Report: U.S. Corporations: All Manufacturing: Net Sales, Receipts, and Operating Revenues (QFR101MFGUSNO) from Q4 2000 to Q4 2024 about operating, receipts, revenue, finance, corporate, Net, sales, manufacturing, industry, and USA.

This database contains the following tax law information for 46 countries (EU and OECD member states): the corporate tax rate, reduced corporate tax rates for Small and Medium Enterprises (SME) and the thresholds for these to apply (e.g. with regard to firm revenue, number of employees etc.), withholding taxes on cross-border dividend payments, taxes on foreign earnings, and allowances for depreciation for corporate investment.

Graph and download economic data for ICE BofA AA US Corporate Index Effective Yield (BAMLC0A2CAAEY) from 1996-12-31 to 2025-03-11 about AA, yield, corporate, interest rate, interest, rate, and USA.

The Organic INTEGRITY Database is a certified organic operations database that contains up-to-date and accurate information about operations that may and may not sell as organic, deterring fraud, increases supply chain transparency for buyers and sellers, and promotes market visibility for organic operations. Only certified operations can sell, label, or represent products as organic, unless exempt or excluded from certification. The INTEGRITY database improves access to certified organic operation information by giving industry and public users an easier way to search for data with greater precision than the formerly posted Annual Lists of Certified Operations. You can find a certified organic farm or business, or search for an operation with specific characteristics such as:

The status of an operation: Certified, Surrendered, Revoked, or Suspended The scopes for which an operation is certified: Crops, Livestock, Wild Crops, or Handling

The organic commodities and services that operations offer. A new, more structured classification system (sample provided) will help you find more of what you’re looking for and details about the flexible taxonomy can be found in the INTEGRITY Categories and Items list. Resources in this dataset:Resource Title: Organic INTEGRITY Database. File Name: Web Page, url: https://organic.ams.usda.gov/integrity/Default.aspx Find a specific certified organic farm or business, or search for an operation with specific characteristics. Listings come from USDA-Accredited Certifying Agents. Historical Annual Lists of Certified Organic Operations and monthly snapshots of the full data set are available for download on the Data History page. Only certified operations can sell, label or represent products as organic, unless exempt or excluded from certification.

Real-time database to accompany revision triangles, by quarter, chained volume measures, seasonally adjusted, UK.

Recent modifications in the data transformation process may result in data changes. Additional details about the changes can be found here: https://data.colorado.gov/stories/s/pbek-aaa3

Colorado Business Entities (corporations, LLCs, etc.) registered with the Colorado Department of State (CDOS) since 1864.