- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Earning Calls Data?
Earning Calls Data is information and recordings of conference calls conducted by publicly traded companies to discuss their financial performance with investors and analysts. These calls provide insights into a company’s earnings, revenue, growth strategies, and future outlook. Earning Calls Data is valuable for investors and financial professionals to analyze and make informed decisions about investing in a particular company.
Examples of Earning Calls Data include earnings call datasets and earnings call transcripts databases. Earning Calls Data is used for analyzing and understanding the financial performance and outlook of a company, as well as gaining insights into market trends and investor sentiment. In this page, you’ll find the best data sources for earnings call data.
Best Earning Calls Databases & Datasets
Here is our curated selection of top Earning Calls Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Earnings Call Transcripts - 7,000+ Companies Covered
Brain Language Metrics on Earnings Calls - 4500+ US Stocks
China Investor Relation Activity Analytics (CIRA) | Investor Relation Event Data | China earnings call transcript | Alternative Data | Daily Update
37,500 Technographics covering 38 Million Companies -RampedUp
Financial Statements Fundamental Data API
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Top Earning Calls Data Providers & Companies
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TVEyes
CoverageUSAUK+25Global video and audio intelligence for data-driven decision makersCoverage27 countriesLanguages30+Podcasts35,000+ -
Datago Technology Limited
CoverageUSAUK+248Founded in 2016, Datago is a FinTech company specializing in massive alternative datasets, including news, reports, and social media. By leveraging AI and big data technologies, we deliver machine-readable data services tailored for capital markets across Asia and emerging markets worldwide.95%Client Retention10Years of Sustained Growth100+Research Papers Supported -
Brain Company
CoverageUSAUK+238BRAIN is a Research Company that creates proprietary datasets and algorithms for investment strategies, combining experience on financial markets with strong competences in Statistics, Machine Learning and Natural Language Processing.ScientificMethodRigorousApproachRobustNLP Platform -
Financial Modeling Prep
CoverageUSAUK+38SFor the past two years, we have relied on Financial Modeling Prep to fuel our FinTech platform, and we couldn't be happier. Their API offers an extensive collection of over 100 financial market datasets, providing us with all the information we need in a single, user-friendly interface. What sets FMP apart is not only the breadth of their offerings but also their incredibly affordable pricing. However, it's not just the quality and affordability that makes FMP exceptional; it's their exceptional customer service and support. The FMP team has been instrumental in helping us build and grow our business. Their timely and responsive assistance has ensured that our needs are always met, allowing us to provide a seamless experience to our users. We highly recommend Financial Modeling Prep for any financial data needs. Their comprehensive datasets, competitive pricing, and outstanding customer support make them an invaluable partner for any FinTech platform or business.
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FACTSET
FactSet delivers superior content, analytics, and flexible technology to help more than 133,000 users see and seize opportunity sooner. We give investment professionals the edge to outperform with informed insights, workflow solutions across the portfolio lifecycle, and industry-leading support.133K+users5.8Kclient companies95%client retention
Popular Use Cases for Earning Calls Data
Earning Calls Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Earning Calls Data.
Main Attributes of Earning Calls Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The domain name of a company website. Potential ID to match company records. | View 1 datasets | |
| String | The registered name of a company including the legal form. | View 1 datasets | |
| String | The ticker symbol of a stock. | View 1 datasets |
Frequently Asked Questions
How is the Quality of Earning Calls Data Maintained?
The quality of Earning Calls Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Earning Calls Data Updated?
The update frequency for Earning Calls Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Earning Calls Data Secure?
The security of Earning Calls Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Earning Calls Data Delivered?
Earning Calls Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Earning Calls Data.
How Much Does Earning Calls Data Cost?
The cost of Earning Calls Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Earning Calls Data for your needs.
What Are Similar Data Types to Earning Calls Data?
Earning Calls Data is similar to other data types, such as Speech Data. These related categories are often used together for applications like Sentiment Analysis and LLM Training.
