Dividend Data vs Private Equity List

Comprehensive Spreadsheet Integration

Dividend Data seamlessly integrates with both Google Sheets and Microsoft Excel through dedicated add-ins, requiring no API keys or coding knowledge. Users access data by typing intuitive custom formulas directly into their cells, which then pull live, updated information from Dividend Data's extensive databases. This feature automates the entire data collection process, transforming static spreadsheets into dynamic, always-current financial models that refresh with a simple recalculation, fostering a cycle of continuous improvement in your analysis.

Extensive Historical & Real-Time Data Library

The platform provides deep historical context with over 30 years of market data across more than 80,000 global tickers. Investors can pull not just current quotes but also decades of dividend history, financial statements, and key ratios. This vast historical depth is crucial for performing robust trend analysis, calculating long-term growth rates, and backtesting investment strategies, enabling a more informed and iterative approach to building and validating financial theses.

Curated Functions for Dividend Investors

Dividend Data offers 16 specialized custom functions tailored specifically for the needs of income and fundamental investors. Formulas like DIVIDENDDATA_DIVIDENDS for forward yield and ex-dates, DIVIDENDDATA_RATIOS for valuation metrics, and DIVIDENDDATA_METRICS for fundamental data ensure users get precisely the data points they need without sifting through irrelevant information. This curated approach streamlines the research process, allowing for faster, more focused analysis and decision-making.

AI-Powered Research & Portfolio Tools

Beyond spreadsheets, the Dividend Data Terminal web-app enhances the ecosystem with AI-powered research capabilities and automated portfolio tracking. The AI Analyst acts as a research assistant, while the portfolio tool automatically aggregates holdings, tracks dividend income, and visualizes performance. This creates a virtuous cycle where spreadsheet analysis informs portfolio decisions, and portfolio data feeds back into analytical models for ongoing optimization.

AI-Powered Search

This intelligent chat-based search function represents a major leap forward in user experience. It allows you to describe your funding needs in natural language to quickly generate targeted investor lists. The AI is tailored for PE/VC queries, helping to surface relevant funds based on stage, geography, and thesis far more efficiently than manual filtering, though results should be verified for accuracy as part of our commitment to continuous refinement.

Super Intuitive Investor Search & Filters

The platform features a lightweight, user-friendly interface with powerful, PE/VC-first filters. You can drill down by location, investment stage, check size, and thesis to pinpoint the ideal investors for any project. This system is designed for immediate usability, eliminating the steep learning curve often associated with enterprise databases and getting you to a structured, usable list in just a few minutes.

Human-Curated & Updated Investor Data

Private Equity List provides access to a global database of over 7,100 active PE/VC investors and 27,900 investment team contacts. This data is not aggregated from mixed sources prone to hallucinations; it is human-curated and updated nearly daily to ensure you are working with the most current and reliable information on fund statuses and new opportunities.

Export-Ready Contacts & Fund Details

Move seamlessly from research to outreach. The platform provides direct access to investor contact information and detailed fund profiles. Crucially, this enriched data—including team roles and contact details—is export-ready in bulk .csv format at a much more affordable price point than competitors, enabling efficient campaign management and follow-up.

Building Dynamic Dividend Screens

Investors can construct powerful, custom stock screens directly in their spreadsheet. By combining functions for dividend yield, payout ratio, consecutive years of growth, and PE ratio, users can create a live filter that updates automatically as market data changes. This allows for the continuous monitoring of investment criteria and the iterative refinement of a watchlist based on the most current financial metrics available.

Creating Automated Financial Models

Analysts and individual investors can build detailed discounted cash flow (DCF) or dividend discount models (DDM) that pull live data for revenue, EPS, and dividend forecasts directly into their assumptions. This automates the input stage, letting modelers focus on analysis and scenario planning. The model becomes a living document that improves in accuracy and relevance with each data refresh.

Maintaining a Live Portfolio Dashboard

Users can link their portfolio holdings in a spreadsheet to pull real-time prices, dividend announcements, and yield-on-cost calculations. This creates an automated dashboard that tracks total value, income projections, and sector allocation without manual updates. It enables a cycle of continuous portfolio review and rebalancing based on live, aggregated data.

Conducting Historical Comparative Analysis

With access to 30+ years of data, investors can perform deep historical studies, such as analyzing a company's dividend consistency through different economic cycles or comparing the historical volatility and performance of multiple assets. This long-term perspective supports more resilient, iteratively-tested investment strategies grounded in comprehensive historical evidence.

Startup Fundraising

Founders can radically accelerate their capital raise. From pre-seed to Series C, users can filter the global database by geography, ticket size, and investment thesis in seconds to build a targeted shortlist of active investors, transforming a months-long search into a streamlined, strategic process.

Consultant & Advisor Deal Sourcing

Consultants and M&A advisors leverage the platform to create tailored buyer and investor shortlists swiftly. This efficiency in identifying perfect-fit targets helps close client fundraising and M&A mandates faster, directly contributing to securing success fees and demonstrating continuous value improvement.

VC Ecosystem Partnership Building

Venture capital funds, accelerators, and venture studios use the database to find co-investors and strategic partners across thousands of funds. This facilitates portfolio support and helps boost their companies' subsequent funding rounds through enhanced network connectivity and partnership opportunities.

Academic & Institutional Research

Universities, journalists, government bodies, and researchers utilize the platform's reliable, structured data for in-depth market analysis, reporting, and studies. It provides a trustworthy source of PE/VC intelligence for non-commercial research, supporting insights into investment trends and ecosystem dynamics.

Dividend Data is a powerful financial data platform designed to empower fundamental and dividend investors with institutional-grade market intelligence directly within their existing workflow. At its core, it eliminates the tedious, error-prone process of manually copying and pasting data by bringing over 30 years of historical stock market data for more than 80,000 tickers straight into Google Sheets and Microsoft Excel. The platform operates on a simple, code-free principle: just type a custom formula like =DIVIDENDDATA_DIVIDENDS("MSFT"), and live data instantly populates your cell. Built by a dividend investor for dividend investors, it provides instant, structured access to critical metrics including dividends, yields, payout ratios, growth rates, complete financial statements, earnings, valuation ratios, and price history through a suite of over 100 metrics. This continuous, iterative flow of data into your spreadsheets allows for dynamic, living models that improve with every refresh, ensuring your investment analysis is always based on the latest information. With a generous free tier offering 2,500 monthly credits and no trial expiration, Dividend Data makes professional-grade analysis accessible to every investor, bridging the gap between sophisticated data needs and a user-friendly, affordable price point.

Private Equity List is a dynamic and continuously refined database built exclusively for navigating the private equity and venture capital landscape. It serves as a powerful, user-centric platform designed to democratize access to high-quality investor data. The core mission is to empower startups, consultants, venture capital professionals, universities, and business owners by providing an efficient, cost-effective alternative to bulky and expensive generalist platforms. With a relentless focus on iterative improvement, the platform has evolved to include cutting-edge AI search functionality, enhancing the precision and speed of investor discovery. It connects over 10,700 users with a meticulously curated global database of thousands of active PE/VC funds, complete with investment team contacts, fund details, and stage-specific filters. By prioritizing a seamless user experience, daily data updates, and export-ready functionality at an accessible price point, Private Equity List enables users to move from research to actionable investor lists in minutes, transforming the fundraising and partnership-building process from a daunting task into a streamlined, strategic operation.

How does the free tier work?

The free tier provides 2,500 credits per month, which do not expire and renew each month. No credit card is required to start. Each data point retrieved by a formula (e.g., one cell with a dividend yield) typically consumes one credit. This generous allowance allows for substantial usage for personal portfolio tracking and analysis, enabling users to experience and iteratively integrate the tool into their workflow at no cost.

What data can I access with the spreadsheet functions?

You can access over 100 key metrics including forward and historical dividends, ex-dividend dates, dividend yields, payout ratios, stock prices, PE ratios, EPS, full financial statement items (income statement, balance sheet, cash flow), and various other growth and valuation metrics. The 16 custom functions are designed to categorize this data intuitively for fundamental and dividend analysis.

Do I need to know how to code to use Dividend Data?

Absolutely not. Dividend Data is built specifically to require zero coding. You use it just like any native spreadsheet function (e.g., =SUM()). Simply type =DIVIDENDDATA_ and follow the formula syntax to pull data directly into your cell. The integration handles all the complex data fetching in the background, making professional analysis accessible through an interface you already know.

Does it work in both Google Sheets and Microsoft Excel?

Yes, Dividend Data offers fully functional add-ins for both Google Sheets (via the Google Workspace Marketplace) and Microsoft Excel (via Microsoft AppSource). The core experience and formula syntax are consistent across both platforms, allowing you to choose your preferred environment or even use both interchangeably while maintaining a continuous, iterative analysis process.

What makes Private Equity List different from platforms like Pitchbook or Crunchbase?

Private Equity List is a specialized, lightweight alternative focused specifically on PE/VC investor data. We prioritize a user-friendly interface, PE/VC-first filters, and export-ready contact data at a more accessible and transparent price point. We avoid the analytics overload and high cost of enterprise platforms, offering a best-value solution that is continuously refined for user efficiency.

How current is the data on Private Equity List?

Our database is updated nearly daily with human-curated information. We specifically track new funds launched within the last 6-12 months and focus on listing only actively investing firms. A timestamp on the platform shows the latest database update, reflecting our commitment to providing the most up-to-date intelligence.

Can I export the investor contact lists?

Yes, a core feature of Private Equity List is the ability to export your filtered investor lists, including enriched contact details and team roles, in bulk .csv format. This is designed to be affordable and straightforward, enabling you to seamlessly integrate the data into your outreach and CRM workflows.

Is there a free trial available?

Yes, you can try Private Equity List for free. The platform offers basic functions and AI search capabilities at no cost and without requiring a credit card. This allows you to experience the intuitive search and filtering system firsthand to assess its value for your specific needs before committing to a paid plan.

Dividend Data is a specialized financial data service that brings over 30 years of stock market history directly into spreadsheets. It falls into the category of tools designed for fundamental and dividend investors who prioritize ease of use and deep historical analysis without complex setups. Users often explore alternatives for various reasons, including specific budget constraints, the need for different feature sets like real-time alerts or broker integrations, or a requirement to use a platform other than Google Sheets or Excel. The search for the right tool is a continuous process of matching one's evolving investment strategy with available solutions. When evaluating any alternative, consider the depth and reliability of historical data, the simplicity of integration into your current workflow, and the overall value relative to cost. The goal is to find a service that not only meets your immediate data needs but also adapts to support your long-term analytical growth and iterative refinement of your investment process.

Private Equity List is a specialized database platform in the business intelligence and investor sourcing category. It provides AI-driven access to a curated list of private equity and venture capital contacts, designed to streamline the fundraising and research process for its users. Users often explore alternatives to find a solution that aligns perfectly with their evolving needs. Common reasons include seeking different pricing models, specific feature sets like advanced analytics or integration capabilities, or a platform that better matches their company's stage or industry focus. The search for the right tool is a continuous cycle of evaluation and refinement. When assessing alternatives, key considerations should include the depth and accuracy of the data, the intuitiveness of the search and filtering tools, and the overall value relative to cost. The goal is to select a platform that not only meets current requirements but also adapts and improves alongside your business, ensuring a sustainable partnership for growth.