ChatGPT Prompts for Finance

Finance professionals deal with complex data, precise terminology, and high-stakes communication. AI can accelerate financial analysis, report writing, and research — but finance prompts require more precision than most domains because inaccurate outputs can lead to costly decisions. A prompt like "analyze this company's financials" produces a surface-level overview. A prompt that specifies the financial statements available, the metrics to calculate (EBITDA margin, debt-to-equity, working capital ratio), the comparison basis (year-over-year, industry benchmarks), and the audience for the analysis produces work you can build on.

For financial analysis, include the specific data points available, the analysis framework you want applied (DCF, comparable companies, precedent transactions), your assumptions, and the output format (summary table, narrative, presentation slides). Report drafting prompts should specify the report type (quarterly earnings, board package, investor update), the key figures to highlight, the narrative tone (conservative, optimistic, neutral), and the audience's financial sophistication level. Modeling prompts work best when you describe the model type, input variables, assumptions to test, sensitivity ranges, and the decisions the model needs to inform. Market research prompts should include the sector, geographic scope, time horizon, data sources to consider, and the specific questions your research needs to answer. For compliance reviews, provide the regulation or standard in question, the specific provisions to check against, and the documents or processes under review.

Finance teams that build prompt libraries ensure consistent analytical frameworks and reporting standards across analysts. PromptingBox lets you save, version, and organize your finance prompts so your team works from proven templates that maintain accuracy and rigor.

Ready-to-Use Finance Prompts

Copy any prompt and fill in the {{variables}} with your data. Built for real financial workflows.

Financial Model Narrative

You are a financial analyst. Help me build a narrative around a financial model.

Company: {{company_name}}
Industry: {{industry}}
Model type: {{model_type}} (e.g., 3-statement, DCF, LBO, unit economics)
Time horizon: {{time_horizon}}

Key assumptions:
- Revenue growth: {{revenue_growth}}
- Gross margin: {{gross_margin}}
- Operating expenses: {{opex_assumptions}}
- CapEx: {{capex_assumptions}}
- Working capital: {{working_capital_assumptions}}

Write a financial model narrative that includes:

1. Executive summary — 3-4 sentences capturing the financial story
2. Revenue build-up — walk through the revenue model logic: what drives growth, key volume and pricing assumptions, and how they compare to industry benchmarks
3. Margin trajectory — explain gross and operating margin evolution over {{time_horizon}}. What drives improvement or compression?
4. Cash flow dynamics — free cash flow generation, capital intensity, and working capital needs
5. Key sensitivities — identify the 3 variables that most impact the output. For each, show the impact of a +/- 20% change
6. Bull / base / bear scenarios — define each scenario with specific assumptions and the resulting valuation range
7. Risks to the model — what assumptions are most likely to be wrong and in which direction

Format financial figures consistently. Use tables where appropriate. Flag any calculations where you're estimating rather than computing from provided data.
company_nameindustrymodel_typetime_horizonrevenue_growthgross_marginopex_assumptionscapex_assumptionsworking_capital_assumptions

Why it works: Transforms raw assumptions into an investor-grade narrative with sensitivity analysis and scenario planning, producing the storyline that makes a model persuasive.

Budget Variance Analysis

You are a FP&A analyst. Perform a budget variance analysis and write the management commentary.

Period: {{period}} (e.g., Q1 2025, March 2025)
Department/BU: {{department}}
Currency: {{currency}}

Budget vs. Actual:
{{budget_vs_actual_data}}

Produce a variance analysis report with:

1. Summary dashboard — total budget, total actual, total variance ($ and %), and a one-sentence headline
2. Line-by-line analysis — for each material variance (over {{materiality_threshold}}):
   - Variance amount and percentage
   - Root cause — why did this line miss or beat? (timing, volume, price, one-time, or structural)
   - Is this a one-time variance or will it recur?
   - Impact on full-year forecast
3. Favorable variances — explain what went right and whether it's sustainable
4. Unfavorable variances — explain what went wrong, who owns the corrective action, and the timeline
5. Forecast revision — based on these variances, recommend specific adjustments to the remaining {{remaining_periods}} forecast
6. Action items — 3-5 specific follow-ups with owners and deadlines

Write for a non-finance audience (department heads, CEO). Use plain language but include the precise numbers. Present unfavorable variances honestly without burying them.
perioddepartmentcurrencybudget_vs_actual_datamateriality_thresholdremaining_periods

Why it works: Goes beyond just calculating variances to explain root causes and forecast impact — the analysis work that actually takes time in FP&A.

Investment Memo

You are an investment analyst at a {{fund_type}} (e.g., venture capital, private equity, hedge fund, family office). Write an investment memo.

Company: {{company_name}}
Sector: {{sector}}
Stage: {{stage}} (e.g., Series B, growth equity, public market, pre-IPO)
Deal size: {{deal_size}}

Company information:
- What they do: {{company_description}}
- Key metrics: {{key_metrics}}
- Founding team: {{team_overview}}
- Competitive landscape: {{competitive_landscape}}

Structure the memo as follows:

1. Recommendation — Lead with invest / pass / more diligence needed and the key reason in one sentence
2. Company overview — what they do, for whom, and why now
3. Market opportunity — TAM/SAM/SOM with the logic chain
4. Business model — how they make money, unit economics, and path to profitability
5. Competitive positioning — moats, differentiation, and vulnerability assessment
6. Traction & financials — revenue trajectory, growth rate, margins, burn, runway
7. Team assessment — founders, key hires, gaps, and ability to execute
8. Deal terms & valuation — is the price fair? Compare to relevant benchmarks and comps
9. Key risks — rank the top 5 risks by likelihood and severity. For each, describe the mitigation
10. Due diligence questions — 8-10 questions we need answered before committing

Tone should be analytical, balanced, and direct. An IC member should be able to read sections 1, 9, and 10 alone and get the essential picture.
fund_typecompany_namesectorstagedeal_sizecompany_descriptionkey_metricsteam_overviewcompetitive_landscape

Why it works: Mirrors the exact structure investment committees expect. The "read sections 1, 9, 10" instruction ensures the most critical information stands alone.

Risk Assessment Framework

You are a risk management specialist. Build a comprehensive risk assessment for {{subject}} (e.g., a portfolio, business unit, project, or transaction).

Context:
- Entity: {{entity_name}}
- Industry: {{industry}}
- Scope: {{assessment_scope}} (e.g., enterprise-wide, project-specific, portfolio-level)
- Risk appetite: {{risk_appetite}} (conservative, moderate, aggressive)

Produce a risk assessment that includes:

1. Risk identification — categorize risks into:
   - Market risk (interest rate, currency, equity, commodity)
   - Credit risk (counterparty, concentration, sovereign)
   - Operational risk (process, people, systems, external events)
   - Liquidity risk (funding, market liquidity)
   - Regulatory/compliance risk
   - Strategic risk (competitive, reputational, technology disruption)

2. Risk register — for the top 15 risks, create a register with:
   - Risk description
   - Likelihood (1-5 scale)
   - Impact (1-5 scale)
   - Risk score (likelihood x impact)
   - Current controls in place
   - Residual risk after controls
   - Risk owner

3. Heat map summary — describe a 5x5 heat map placing the top risks

4. Mitigation plan — for the top 5 risks:
   - Specific mitigation actions
   - Timeline and cost
   - Who is responsible
   - How we monitor effectiveness

5. Stress scenarios — define 3 stress scenarios (mild, severe, tail risk) and their estimated financial impact

6. Monitoring cadence — recommended KRIs (Key Risk Indicators) and review frequency
subjectentity_nameindustryassessment_scoperisk_appetite

Why it works: Covers the full risk taxonomy with a scored register and stress scenarios. The structured output can be directly used in board presentations and regulatory filings.

Quarterly Earnings Report

You are a corporate finance communications specialist. Draft a quarterly earnings report narrative.

Company: {{company_name}}
Period: {{quarter}} {{year}}
Public/private: {{company_type}}

Financial results:
- Revenue: {{revenue}} ({{revenue_growth}} YoY)
- Gross profit: {{gross_profit}} ({{gross_margin}} margin)
- Operating income: {{operating_income}}
- Net income: {{net_income}}
- EPS: {{eps}} (vs. consensus {{consensus_eps}})
- Cash & equivalents: {{cash_position}}
- Key segment data: {{segment_data}}

Operational highlights:
{{operational_highlights}}

Draft the report with these sections:

1. Headline & key figures — the 3-4 numbers that define the quarter
2. CEO quote — 2-3 sentences striking the right tone: {{tone_guidance}} (e.g., cautiously optimistic, strong momentum, navigating headwinds)
3. Revenue discussion — what drove top-line performance by segment/geography. Call out organic vs. inorganic growth
4. Profitability discussion — margin dynamics, cost management, and one-time items
5. Balance sheet & cash flow — liquidity, debt, and capital allocation priorities
6. Guidance — if providing, frame {{forward_guidance}} with appropriate caveats
7. Risk factors — standard forward-looking statement language

Write in the formal, precise tone expected by public market investors and analysts. Every claim should be grounded in the numbers provided.
company_namequarteryearcompany_typerevenuerevenue_growthgross_profitgross_marginoperating_incomenet_incomeepsconsensus_epscash_positionsegment_dataoperational_highlightstone_guidanceforward_guidance

Why it works: Structures the earnings narrative around investor expectations with CEO quote tone guidance and segment-level breakdowns — the exact deliverable IR teams produce.

Expense Categorization & Analysis

You are a bookkeeper and financial analyst. Help me categorize and analyze business expenses.

Business type: {{business_type}}
Accounting standard: {{accounting_standard}} (e.g., GAAP, IFRS, cash-basis)
Period: {{period}}
Tax jurisdiction: {{tax_jurisdiction}}

Expense data:
{{expense_data}}

Perform the following analysis:

1. Categorization — assign each expense to the correct chart of accounts category:
   - COGS vs. operating expenses
   - Fixed vs. variable costs
   - Within OpEx: Sales & Marketing, R&D, G&A, and subcategories
   - Capital expenditures vs. operating expenses
   - Tax-deductible vs. non-deductible in {{tax_jurisdiction}}

2. Summary by category — total each category with % of total spend and % of revenue (if revenue provided)

3. Trend analysis — if multi-period data is provided, identify:
   - Categories growing faster than revenue
   - Categories with unusual spikes or drops
   - Seasonal patterns

4. Optimization opportunities — identify 5 areas where spending could be reduced or better allocated, with estimated savings

5. Tax considerations — flag expenses that may qualify for:
   - R&D tax credits
   - Section 179 deductions (if US)
   - Other jurisdiction-specific benefits

6. Anomalies — flag any expenses that look unusual (duplicates, round numbers that suggest estimates, miscategorized items)

Present the categorized data in a clean table format. Be precise with financial figures — never round unless explicitly asked.
business_typeaccounting_standardperiodtax_jurisdictionexpense_data

Why it works: Combines categorization with tax optimization and anomaly detection, turning a tedious bookkeeping task into actionable financial intelligence.