Cash Flow Analysis
Analyze the cash flow quality and sustainability of this business. Cash flow statement: {{cash_flow_data}} Periods: {{periods}} 1. Cash flow waterfall: EBITDA - Interest paid -...
4 Financial Analyst prompts in Financial Analysis. Copy ready-to-use templates and run them in your AI workflow. Covers beginner → advanced levels and 4 single prompts.
Analyze the cash flow quality and sustainability of this business. Cash flow statement: {{cash_flow_data}} Periods: {{periods}} 1. Cash flow waterfall: EBITDA - Interest paid -...
Conduct a comprehensive financial ratio analysis for {{company}}. Financial statements: {{financial_statements}} Peer benchmarks: {{benchmarks}} Periods: {{periods}} 1. Profitab...
Analyze the unit economics of this business and assess its scalability. Business model: {{business_model}} Data: {{unit_economics_data}} 1. Customer Acquisition Cost (CAC): CAC...
Analyze the working capital dynamics and cash conversion efficiency of this business. Balance sheet and P&L data: {{financial_data}} Periods: {{periods}} Industry: {{industry}}...
Start with a focused prompt in Financial Analysis so you establish the first reliable signal before doing broader work.
Jump to this promptReview the output and identify what needs follow-up, cleanup, explanation, or deeper analysis.
Jump to this promptContinue with the next prompt in the category to turn the result into a more complete workflow.
Jump to this promptWhen the category has done its job, move into the next adjacent category or role-specific workflow.
Jump to this promptFinancial Analysis is a practical workflow area inside the Financial Analyst prompt library. It groups prompts that solve closely related tasks instead of leaving users to search through one flat list.
Start with the most general prompt in the list, then move toward the more specific or advanced prompts once you have initial output.
A single prompt gives you one instruction and one output. A chain is a multi-step sequence designed to build on earlier results and produce a more complete workflow.
Yes. They work in other AI tools too. MLJAR Studio is still the best fit when you want local execution, visible code, and notebook-based reproducibility.
Good next stops are Financial Modeling, Forecasting, Variance Analysis depending on what the current output reveals.