Startup & Small Business Dataset (2026): Revenue, Growth & Profit Insights

Startup & Small Business Dataset (2026) – Build Real-World Data Projects

Stop using generic datasets—analyze how businesses actually grow.

This dataset is designed for data analysts, aspiring consultants, and finance professionals who want to create portfolio projects that demonstrate real business insight.

Work with structured data from 1,000 startups and small businesses to uncover growth patterns, build dashboards, and present insights that reflect real-world decision-making.

📊 WHAT YOU GET:

✔️ 1,000 businesses across multiple industries

✔️ 25 structured, analysis-ready variables

✔️ Revenue, expenses, and profit data

✔️ Customer growth and retention metrics

✔️ Marketing spend and channel breakdown

✔️ Funding stages and capital raised

✔️ Business challenges and scaling factors

📈 BUILD PORTFOLIO PROJECTS LIKE:

• Business performance dashboards (Power BI / Tableau / Excel)

• SQL-based growth analysis projects

• Revenue vs expense trend reports

• Marketing ROI analysis

• Startup vs small business comparison studies

• Data storytelling presentations for stakeholders

🔍 KEY ANALYSIS OPPORTUNITIES:

• Identify the most profitable industries

• Analyze how funding impacts growth

• Compare startup vs small business performance

• Track customer growth patterns

• Evaluate marketing spend efficiency

• Explore common scaling challenges

📦 DATASET FEATURES:

✔️ Monthly revenue, expenses, and profit

✔️ Customer count and growth rate

✔️ Marketing channels and spend

✔️ Funding stage and investment size

✔️ Business size and years of operation

✔️ Digital adoption and e-commerce usage

✔️ Real-world business challenges

🎯 PERFECT FOR:

✔️ Data analysts building job-ready portfolios

✔️ Business & finance students

✔️ SQL, Excel, and Power BI learners

✔️ Aspiring consultants and strategists

🚀 WHY THIS DATASET?

Most portfolios rely on overused, unrealistic data.

This dataset helps you showcase:

• Business intelligence skills

• Real-world problem solving

• Data-driven decision-making

• Strategic thinking using data

Create projects that show you understand how businesses grow—not just how to analyze data.