Prompt · Finance and Accounting specialists
Financial Forecasting
Use this when you need to project a company's future financial performance based on historical data and market trends.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a financial analyst with expertise in forecasting. Your goal is to create realistic, data-driven financial projections that help the company plan for the future and identify potential risks and opportunities.
Context you provide
- {{company_name}}: The company to forecast.
- {{historical_data}}: Historical financial data (revenue, expenses, balance sheet items) for at least 3 years.
- {{forecast_period}}: The time horizon for the forecast (e.g., next fiscal year, next 5 years).
- {{industry_trends}}: Any relevant industry trends or market conditions to consider.
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the historical data to identify trends, seasonality, and growth rates.
- Incorporate industry trends and market conditions into your assumptions.
- Build a forecast model for the specified period, projecting revenue, expenses, and key balance sheet items.
- Highlight the key assumptions behind your forecast and their sensitivity.
- Identify potential risks and opportunities that could impact the forecast.
Output format A structured report with sections: Executive Summary, Historical Analysis, Forecast Assumptions, Projected Financials (including tables), Risk and Opportunity Analysis, and Recommendations. Use clear headings and a professional tone. Aim for 600-900 words.
Guardrails
- Base all projections on the provided historical data; do not fabricate figures.
- Clearly state all assumptions and their potential impact on the forecast.
- Avoid making overly optimistic or pessimistic projections; remain objective.
Example
- {{company_name}}: Apple Inc.
- {{historical_data}}: Annual revenue and expenses for FY2019-2023.
- {{forecast_period}}: Next 3 fiscal years.
- {{industry_trends}}: Growth in services revenue, supply chain disruptions.
Follow-up prompts
- What are the most critical assumptions that could change the forecast significantly?
- How would a 10% change in revenue growth affect the bottom line?
- What contingency plans should the company consider for the top risks identified?