Unlock 15 Years of Market Intelligence: Conference Calls & Earnings Call Transcripts Dataset (2010-2025)
Number of transcripts available in this dataset are 220,950.
This database was last updated on April 19, 2025.
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Power Your Investment Strategy with the World’s Most Comprehensive Earnings Call Database
Transform raw financial discourse into actionable intelligence with our meticulously curated SeekingAlpha Earnings Call Transcripts Dataset, spanning 2010–2025. This definitive collection delivers verbatim records of 200,000+ conference calls from global public companies—capturing executive insights, analyst Q&As, and forward-looking guidance in machine-readable text. Whether you’re backtesting quantitative models, training financial AI, or tracking sector trends, this dataset is your gateway to Wall Street’s unfiltered narrative.
What are quarterly earnings calls and why are they useful?
Every quarter, a company’s leadership holds an earnings call with investors and analysts to update them on the status of the company. These calls are closely scrutinized by financial professional and the business press for new insights. The transcript of these calls are broken out into the prepared remarks of C-suite leadership and analyst question. Students can use quarterly earnings call transcripts to:
- Glean the most current information and data about a company’s revenue, strategic direction, etc directly from company leadership.
- See how the company is proactively/reactively positioning themselves (“optics” / “spin”).
- Discover what issues analyst are probing via their questions to determine what those in industry think are key to understanding the performance of the company. (Keep in mind that some companies have a reputation for controlling what questions analysts can ask.)
Download Many Transcripts
While many companies provide conference and earning call transcripts on the Investor Relations section of their website, they often don’t include older transcripts. This database provides a complete collection of transcripts spanning from 2010 to 2025, ensuring comprehensive access to historical financial discussions. The data is stored in a structured database file, allowing users to query and convert it into various formats such as CSV, Excel, or Google Sheets for further analysis.
Get Transcripts for Individual Companies
This database provides historical earnings conference call transcripts back to ~2010. It includes public and private companies globally, although coverage is best for companies on major indexes. Easily query the database file to access individual transcripts for any quarter of the year. Whether you’re analyzing historical trends or researching specific earnings calls, this structured dataset ensures quick and efficient retrieval of the information you need.
📊 Coverage
Our database cover 4,500 company calls every quarterly earnings season. The list of the companies we cover is located here. This list is prioritized based on the companies which have the most subscribers to our real-time alerts product.
⚙️ Technical Specifications
- Formats: SQLite (.db) File
- Fields: URL, Article_ID, Title, Published, Ticker, Transcript
- Delivery: Google Drive Link – Instant Download
📈 Ideal Users
- Quant Funds: Train LLMs on CEO sentiment signals for predictive trading.
- Equity Researchers: Benchmark management credibility across earnings cycles.
- IR Departments: Audit competitor disclosures and guidance language.
- Academic Teams: Study market psychology or corporate communication trends.
Conference Calls & Earnings Call Transcripts – Download SeekingAlpha Dataset
Enhance your financial research with a comprehensive collection of conference calls and earnings call transcripts from SeekingAlpha. This dataset provides in-depth insights into corporate financial disclosures, market trends, and investment strategies, helping analysts, investors, and researchers make informed decisions. With historical data spanning years, you can track earnings reports, compare quarterly performances, and identify key financial patterns. Download now to access a powerful financial dataset tailored for data-driven decision-making in the ever-evolving world of investments. 🚀
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