Financial Modeling Use Cases
Build financial models for investment analysis, budgeting, and forecasting.
Overview
Build sophisticated financial models using Tickerdata to pull real company data automatically.
Use Case: Revenue Forecasting
Project future revenue based on historical trends.
// Historical Revenue Data
=TICKERDATA("AAPL", "Revenue", 2023)
=TICKERDATA("AAPL", "Revenue", 2022)
=TICKERDATA("AAPL", "Revenue", 2021)
=TICKERDATA("AAPL", "Revenue", 2020)
=TICKERDATA("AAPL", "Revenue", 2019)
// Historical Growth Rates
=TICKERDATA("AAPL", "3 YR Revenue GPS", "ttm")
=TICKERDATA("AAPL", "5 YR Revenue GPS", "ttm")
// Project next year
=Current_Rev * (1 + Growth_Rate) Use Case: Margin Analysis
Track and project profit margins over time.
// Gross Margin trend
=TICKERDATA("AAPL", "Gross Profit Ratio", 2023)
=TICKERDATA("AAPL", "Gross Profit Ratio", 2022)
=TICKERDATA("AAPL", "Gross Profit Ratio", 2021)
// Operating Margin trend
=TICKERDATA("AAPL", "Operating Income Ratio", 2023)
=TICKERDATA("AAPL", "Operating Income Ratio", 2022)
// Net Margin trend
=TICKERDATA("AAPL", "Net Income Ratio", 2023)
=TICKERDATA("AAPL", "Net Income Ratio", 2022)Use Case: Three-Statement Model
Build an integrated financial model linking income statement, balance sheet, and cash flow.
// Income Statement data
=TICKERDATA("AAPL", "Revenue", 2023)
=TICKERDATA("AAPL", "Net Income", 2023)
=TICKERDATA("AAPL", "EPS", 2023)
// Balance Sheet data
=TICKERDATA("AAPL", "Total Assets", 2023)
=TICKERDATA("AAPL", "Total Liabilities", 2023)
=TICKERDATA("AAPL", "Total Equity", 2023)
=TICKERDATA("AAPL", "Cash And Cash Equivalents", 2023)
=TICKERDATA("AAPL", "Total Debt", 2023)
// Cash Flow data
=TICKERDATA("AAPL", "Operating Cash Flow", 2023)
=TICKERDATA("AAPL", "Capital Expenditure", 2023)
=TICKERDATA("AAPL", "Free Cash Flow", 2023)
=TICKERDATA("AAPL", "Dividends Paid", 2023) Model Linkages
// Income Statement → Balance Sheet
Retained_Earnings = Prior_RE + Net_Income - Dividends
// Income Statement → Cash Flow
CFO_Start = Net_Income
// Balance Sheet → Cash Flow
Change_in_WC = Current_WC - Prior_WC Warning
Three-statement models are complex. Start simple and add complexity gradually.
Use Case: Scenario Analysis
Model different business scenarios:
| Scenario | Revenue Growth | Margin Change | Weight |
|---|---|---|---|
| Bear | 5% | -2% | 25% |
| Base | 10% | 0% | 50% |
| Bull | 15% | +2% | 25% |
// Probability-weighted outcome
=Bear_Value*0.25 + Base_Value*0.50 + Bull_Value*0.25 Use Case: Quarterly Trend Analysis
Track quarterly performance:
// Q1-Q4 Revenue for a year
=TICKERDATA("AAPL", "Revenue", 2023, "Q1")
=TICKERDATA("AAPL", "Revenue", 2023, "Q2")
=TICKERDATA("AAPL", "Revenue", 2023, "Q3")
=TICKERDATA("AAPL", "Revenue", 2023, "Q4")
// Calculate sequential growth
=(Q2 - Q1) / Q1 Use Case: Peer Comparison Model
Compare financial performance across peers:
| Metric | AAPL | MSFT | GOOGL |
|---|---|---|---|
| Revenue | =TICKERDATA("AAPL", "Revenue", "ttm") | =TICKERDATA("MSFT", "Revenue", "ttm") | =TICKERDATA("GOOGL", "Revenue", "ttm") |
| Net Margin | =TICKERDATA("AAPL", "Net Profit Margin", "ttm") | … | … |
| ROE | =TICKERDATA("AAPL", "ROE", "ttm") | … | … |
Best Practices
- Start with actual data - Use Tickerdata to pull real numbers as your base
- Document assumptions - Make it clear what you’re projecting vs. actual
- Build in flexibility - Use named ranges and input cells
- Sanity check - Compare your projections to analyst estimates
- Version control - Save different model versions as you refine
Next Steps
- Build a DCF Valuation Model
- Explore Stock Screening to find candidates