Dividend Data vs Gimme-A-Quote

Side-by-side comparison to help you choose the right product.

Automate your investment research with instant stock data and 30+ years of history directly in your spreadsheets.

Last updated: March 11, 2026

Easily send quotes without hassle; just upload your files and let Gimme-A-Quote handle the rest.

Last updated: March 1, 2026

Visual Comparison

Dividend Data

Dividend Data screenshot

Gimme-A-Quote

Gimme-A-Quote screenshot

Feature Comparison

Dividend Data

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.

Gimme-A-Quote

Stupid Simple Setup

Gimme-A-Quote features an incredibly straightforward setup process. Users can create an account, invite vendors, and send requests for quotes (RFQs) in mere minutes. There are no lengthy training sessions or complex modules to navigate. If you can send an email, you can use this tool.

User-Friendly Interface

The interface of Gimme-A-Quote is designed with the user in mind. It is clean, intuitive, and requires no technical expertise. This means that even the least tech-savvy team members can jump right in and start sending quotes without frustration or confusion.

Predictable Pricing Model

Gimme-A-Quote offers a transparent and affordable pricing model. There is one low price for all users, with the only additional cost being for extra storage. This approach ensures that budgeting is straightforward and prevents unexpected expenses, making it accessible for small businesses.

Continuous Improvement

The philosophy of Gimme-A-Quote emphasizes continuous improvement. The tool is built to evolve alongside your business needs. Users can provide feedback and suggestions, which helps shape future updates, ensuring that the platform remains relevant and effective in addressing real-world challenges.

Use Cases

Dividend Data

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.

Gimme-A-Quote

Streamlining Quoting Processes

Small manufacturing shops can dramatically reduce the time spent on quoting by using Gimme-A-Quote. Instead of navigating complex systems, they can quickly create and send quotes, allowing for faster decision-making and improved client satisfaction.

Simplifying Vendor Management

For tradespeople who manage multiple vendors, Gimme-A-Quote simplifies the vendor management process. Users can easily invite vendors to collaborate on quotes, ensuring everyone is on the same page without the need for endless email chains.

Enhancing Team Collaboration

Gimme-A-Quote fosters better teamwork within small shops. Team members can access quotes from any device, ensuring that everyone can contribute and stay informed, leading to a more cohesive work environment.

Reducing Administrative Overhead

By cutting down on the complexities associated with traditional quoting platforms, Gimme-A-Quote reduces administrative overhead. This means business owners can spend less time on paperwork and more time focusing on their core operations and growth.

Overview

About Dividend Data

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.

About Gimme-A-Quote

Gimme-A-Quote is a revolutionary tool designed specifically for small manufacturing shops, machine shops, and tradespeople who are exhausted by the complexities of traditional procurement and quoting systems. With a focus on simplicity, this software eliminates the overwhelming features and modules that often accompany enterprise solutions. Instead, it offers a streamlined process for sending and receiving quotes without the unnecessary drama. Gimme-A-Quote caters to the hands-on business owner who prioritizes efficiency and clarity. By adopting a cyclical and iterative philosophy, the tool allows users to start with a simple foundation, providing immediate value while adapting to evolving real-world needs. This ensures that users can focus on their core business processes rather than becoming bogged down by convoluted systems. Gimme-A-Quote embodies a commitment to continuous improvement, delivering a straightforward solution that empowers teams to quickly send quotes and simplify their workflow, all while avoiding the pitfalls of traditional software platforms.

Frequently Asked Questions

Dividend Data FAQ

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.

Gimme-A-Quote FAQ

How does Gimme-A-Quote simplify the quoting process?

Gimme-A-Quote streamlines the quoting process by providing a simple and intuitive interface that allows users to create and send quotes quickly. This eliminates the need for complicated workflows and reduces the time spent on administrative tasks.

Is there any training required to use Gimme-A-Quote?

No training is required to use Gimme-A-Quote. The setup is designed to be incredibly straightforward, allowing users to start sending quotes immediately without the need for lengthy training sessions or technical knowledge.

Can I invite multiple vendors to collaborate on quotes?

Yes, Gimme-A-Quote allows users to easily invite multiple vendors to collaborate on quotes. This feature simplifies communication and ensures that all parties are aligned, making the quoting process more efficient.

What kind of support is available if I encounter issues?

Gimme-A-Quote provides user support through various channels. Users can access a help center for common questions, and dedicated support is available for more complex issues to ensure that any challenges are promptly addressed.

Alternatives

Dividend Data Alternatives

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.

Gimme-A-Quote Alternatives

Gimme-A-Quote is a straightforward tool designed for small manufacturing shops, machine shops, and tradespeople who need to streamline their quoting process. As a productivity and management solution, it focuses on simplifying the creation and sending of Request for Quotations (RFQs), eliminating the frustrations often associated with traditional procurement software. Users commonly search for alternatives due to factors like pricing, feature sets, or specific platform needs that may not align with their operational style. When seeking an alternative to Gimme-A-Quote, it's essential to prioritize simplicity and ease of use. Look for platforms that offer a straightforward setup process without unnecessary complexity, allowing you to focus on your core business activities. Additionally, consider solutions that embody a philosophy of continuous improvement, ensuring they can evolve alongside your needs without overwhelming you with features.

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