Build campaign-analytics, financial-analyst, customer-success-manager, sales-engineer, and revenue-operations skills using the Claude Skills Factory workflow. Each skill includes SKILL.md, Python CLI tools, reference guides, and asset templates. All 16 Python scripts use standard library only with --format json/text support. Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
220 lines
6.3 KiB
JSON
220 lines
6.3 KiB
JSON
{
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"_description": "Sample financial data covering all 4 scripts: ratio_calculator, dcf_valuation, budget_variance_analyzer, and forecast_builder",
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"ratio_analysis": {
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"income_statement": {
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"revenue": 50000000,
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"cost_of_goods_sold": 30000000,
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"operating_income": 8000000,
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"ebitda": 10000000,
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"net_income": 5500000,
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"interest_expense": 1200000
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},
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"balance_sheet": {
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"total_assets": 40000000,
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"current_assets": 15000000,
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"cash_and_equivalents": 5000000,
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"accounts_receivable": 6000000,
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"inventory": 3500000,
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"total_equity": 22000000,
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"total_debt": 12000000,
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"current_liabilities": 8000000
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},
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"cash_flow": {
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"operating_cash_flow": 7500000,
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"total_debt_service": 3000000
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},
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"market_data": {
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"share_price": 45.00,
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"shares_outstanding": 10000000,
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"market_cap": 450000000,
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"earnings_growth_rate": 0.12
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}
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},
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"dcf_valuation": {
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"historical": {
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"revenue": [38000000, 42000000, 45000000, 48000000, 50000000],
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"net_income": [3800000, 4200000, 4500000, 5000000, 5500000],
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"net_debt": 7000000,
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"shares_outstanding": 10000000
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},
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"assumptions": {
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"projection_years": 5,
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"revenue_growth_rates": [0.10, 0.09, 0.08, 0.07, 0.06],
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"fcf_margins": [0.12, 0.13, 0.13, 0.14, 0.14],
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"default_revenue_growth": 0.05,
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"default_fcf_margin": 0.10,
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"terminal_growth_rate": 0.025,
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"terminal_ebitda_margin": 0.20,
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"exit_ev_ebitda_multiple": 12.0,
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"wacc_inputs": {
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"risk_free_rate": 0.04,
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"equity_risk_premium": 0.06,
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"beta": 1.1,
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"cost_of_debt": 0.055,
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"tax_rate": 0.25,
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"debt_weight": 0.30,
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"equity_weight": 0.70
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}
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}
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},
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"budget_variance": {
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"company": "Acme Corp",
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"period": "Q4 2025",
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"line_items": [
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{
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"name": "Product Revenue",
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"type": "revenue",
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"department": "Sales",
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"category": "Revenue",
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"actual": 12500000,
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"budget": 12000000,
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"prior_year": 10800000
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},
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{
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"name": "Service Revenue",
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"type": "revenue",
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"department": "Sales",
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"category": "Revenue",
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"actual": 3200000,
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"budget": 3500000,
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"prior_year": 2900000
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},
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{
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"name": "Cost of Goods Sold",
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"type": "expense",
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"department": "Operations",
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"category": "COGS",
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"actual": 7800000,
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"budget": 7200000,
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"prior_year": 6700000
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},
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{
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"name": "Salaries & Wages",
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"type": "expense",
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"department": "Human Resources",
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"category": "Personnel",
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"actual": 2100000,
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"budget": 2200000,
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"prior_year": 1950000
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},
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{
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"name": "Marketing & Advertising",
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"type": "expense",
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"department": "Marketing",
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"category": "Sales & Marketing",
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"actual": 850000,
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"budget": 750000,
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"prior_year": 680000
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},
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{
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"name": "Software & Technology",
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"type": "expense",
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"department": "Engineering",
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"category": "Technology",
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"actual": 420000,
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"budget": 400000,
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"prior_year": 350000
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},
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{
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"name": "Office & Facilities",
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"type": "expense",
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"department": "Operations",
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"category": "G&A",
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"actual": 180000,
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"budget": 200000,
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"prior_year": 175000
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},
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{
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"name": "Travel & Entertainment",
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"type": "expense",
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"department": "Sales",
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"category": "Sales & Marketing",
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"actual": 95000,
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"budget": 120000,
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"prior_year": 88000
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},
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{
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"name": "Professional Services",
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"type": "expense",
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"department": "Finance",
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"category": "G&A",
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"actual": 310000,
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"budget": 250000,
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"prior_year": 220000
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},
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{
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"name": "R&D Expenses",
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"type": "expense",
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"department": "Engineering",
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"category": "R&D",
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"actual": 1500000,
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"budget": 1400000,
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"prior_year": 1200000
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}
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]
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},
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"forecast": {
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"historical_periods": [
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{"period": "Q1 2024", "revenue": 10500000, "gross_profit": 4200000, "operating_income": 1575000},
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{"period": "Q2 2024", "revenue": 11200000, "gross_profit": 4480000, "operating_income": 1680000},
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{"period": "Q3 2024", "revenue": 11800000, "gross_profit": 4720000, "operating_income": 1770000},
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{"period": "Q4 2024", "revenue": 12500000, "gross_profit": 5000000, "operating_income": 1875000},
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{"period": "Q1 2025", "revenue": 12800000, "gross_profit": 5120000, "operating_income": 1920000},
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{"period": "Q2 2025", "revenue": 13500000, "gross_profit": 5400000, "operating_income": 2025000},
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{"period": "Q3 2025", "revenue": 14100000, "gross_profit": 5640000, "operating_income": 2115000},
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{"period": "Q4 2025", "revenue": 15700000, "gross_profit": 6280000, "operating_income": 2355000}
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],
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"drivers": {
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"units": {
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"base_units": 5000,
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"growth_rate": 0.04
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},
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"pricing": {
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"base_price": 2800,
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"annual_increase": 0.03
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}
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},
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"assumptions": {
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"revenue_growth_rate": 0.08,
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"gross_margin": 0.40,
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"opex_pct_revenue": 0.25,
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"forecast_periods": 12
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},
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"scenarios": {
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"base": {
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"growth_adjustment": 0.0,
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"margin_adjustment": 0.0
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},
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"bull": {
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"growth_adjustment": 0.04,
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"margin_adjustment": 0.03
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},
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"bear": {
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"growth_adjustment": -0.03,
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"margin_adjustment": -0.02
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}
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},
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"cash_flow_inputs": {
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"opening_cash_balance": 2500000,
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"weekly_revenue": 350000,
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"collection_rate": 0.85,
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"collection_lag_weeks": 2,
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"weekly_payroll": 160000,
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"weekly_rent": 15000,
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"weekly_operating": 45000,
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"weekly_other": 20000,
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"one_time_items": [
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{"week": 3, "amount": -250000, "description": "Annual insurance premium"},
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{"week": 6, "amount": 500000, "description": "Customer prepayment"},
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{"week": 9, "amount": -180000, "description": "Equipment purchase"},
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{"week": 13, "amount": -75000, "description": "Quarterly tax payment"}
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]
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},
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"forecast_periods": 12
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}
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}
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