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Startup Financial Model

by @samledger67-dotcom

Build investor-ready 3-statement financial models for startups: P&L, Balance Sheet, Cash Flow Statement. Revenue forecasting with growth assumptions, burn ra...

Versionv1.0.2
Downloads835
TERMINAL
clawhub install startup-financial-model

πŸ“– About This Skill


name: startup-financial-model description: > Build investor-ready 3-statement financial models for startups: P&L, Balance Sheet, Cash Flow Statement. Revenue forecasting with growth assumptions, burn rate analysis, runway calculator, scenario modeling (base/bull/bear), and cohort-based SaaS/subscription metrics. Outputs structured data for Excel/Google Sheets export. Use when a founder, CFO, or analyst needs a from-scratch financial model, wants to project runway, stress-test scenarios, or prepare for an investor diligence request. NOT for: public-company financial analysis (use DCF/comps), tax preparation, bookkeeping or reconciliation, or real-time data pulls from accounting software (use qbo-automation for that). version: 1.0.0 author: PrecisionLedger tags: - finance - startups - modeling - forecasting - investors

Startup Financial Model Skill

Build complete 3-statement financial models for early-stage and growth-stage startups. This skill guides Sam Ledger through constructing investor-ready models, running scenario analysis, calculating burn/runway, and producing structured output ready for Excel or Google Sheets.


When to Use This Skill

Trigger phrases:

  • "Build a financial model for…"
  • "How much runway do we have?"
  • "Create a 3-statement model"
  • "What's our burn rate?"
  • "Model out our revenue forecast"
  • "Investor asks for a 3-year model"
  • "Show me base/bull/bear scenarios"
  • NOT for:

  • Public company valuation (DCF, comps) β€” different methodology
  • Tax filing or tax planning β€” use compliance workflows
  • Historical bookkeeping β€” use QBO/accounting integrations
  • Real-time actuals syncing β€” use qbo-automation skill
  • Cap table modeling β€” use cap-table-manager skill

  • Core Model Components

    1. Revenue Model

    Start by identifying the revenue driver type:

    | Business Type | Primary Driver | Key Metric | |---|---|---| | SaaS / Subscription | MRR/ARR growth | Churn rate, expansion MRR | | Marketplace | GMV Γ— take rate | Transaction volume | | Services / Agency | Headcount Γ— utilization | Billable hours | | E-commerce | Orders Γ— AOV | Repeat purchase rate | | Usage-based | Units Γ— price | Volume growth curve |

    Revenue forecasting inputs to collect:

    - Current MRR/revenue (starting point)
    
  • Monthly or annual growth rate assumption
  • Churn rate (monthly, for subscription)
  • New customer acquisition volume (monthly)
  • ARPU / ACV (average revenue per user/contract value)
  • Expansion/upsell rate (if applicable)
  • Seasonality adjustments (if applicable)
  • SaaS Revenue Formula (monthly):

    MRR(t) = MRR(t-1) 
            + New MRR (new customers Γ— ARPU)
            + Expansion MRR
            - Churned MRR (MRR(t-1) Γ— churn rate)
    

    2. Expense Model (P&L)

    Expense categories to model:

    COGS (Cost of Goods Sold):

  • Hosting/infrastructure (% of revenue or fixed)
  • Payment processing fees (% of revenue)
  • Customer support costs (headcount-driven)
  • Operating Expenses:

    Sales & Marketing:
      - Paid acquisition (CAC budget)
      - Sales team salaries + commission
      - Marketing tools / events

    Research & Development: - Engineering salaries (FTE Γ— loaded cost) - Contractor/freelance dev costs - Tools and licenses

    General & Administrative: - Executive salaries - Legal, accounting, compliance - Office / remote infrastructure - Insurance

    Headcount Planning Template:

    Role | Start Date | Monthly Salary | Benefits % | Total Loaded Cost
    -----|------------|----------------|------------|------------------
    CTO  | Jan 2026   | $15,000        | 25%        | $18,750
    Eng  | Mar 2026   | $10,000        | 25%        | $12,500
    ...
    

    3. P&L Statement

    Revenue
      - COGS
    = Gross Profit
      Gross Margin %

    - S&M Expense - R&D Expense - G&A Expense = EBITDA EBITDA Margin %

    - Depreciation & Amortization = EBIT

    - Interest Expense = EBT (Earnings Before Tax)

    - Income Tax = Net Income

    4. Cash Flow Statement

    Three sections:

    Operating Activities:
      Net Income
      + D&A (non-cash add-back)
      Β± Changes in Working Capital:
        - Accounts Receivable (increase = use of cash)
        - Accounts Payable (increase = source of cash)
        - Deferred Revenue (SaaS advance payments = source)
        - Prepaid Expenses

    Investing Activities: - CapEx (equipment, IP capitalization) - Security deposits

    Financing Activities: + Capital raises (equity funding rounds) + Debt proceeds - Debt repayments - Dividends (rare for startups)

    = Net Change in Cash + Beginning Cash Balance = Ending Cash Balance

    5. Balance Sheet

    ASSETS
    Current Assets:
      Cash & Cash Equivalents  ← from Cash Flow ending balance
      Accounts Receivable
      Prepaid Expenses

    Non-Current Assets: PP&E (net of depreciation) Intangibles / Capitalized Software

    LIABILITIES Current Liabilities: Accounts Payable Deferred Revenue Accrued Expenses

    Non-Current Liabilities: Long-term Debt / Convertible Notes

    EQUITY Paid-in Capital (cumulative fundraising) Retained Earnings (cumulative Net Income) Total Equity

    CHECK: Assets = Liabilities + Equity ← must balance


    Burn Rate & Runway Calculator

    Gross Burn Rate

    Gross Burn = Total Monthly Cash Outflows
               = COGS + OpEx (cash basis, pre-revenue)
    

    Net Burn Rate

    Net Burn = Gross Burn - Revenue Collected
             = Monthly cash out - monthly cash in
    

    Runway

    Runway (months) = Current Cash Balance Γ· Net Burn Rate

    Example: Cash: $1,200,000 Net Burn: $80,000/month Runway: 15 months

    Runway with Milestones

    Milestone-adjusted runway = months until Series A, profitability, or breakeven
    Break-even month = month where Net Burn = $0 (revenue β‰₯ expenses)
    


    Scenario Modeling

    Build three scenarios with different assumptions:

    | Assumption | Bear (Pessimistic) | Base (Expected) | Bull (Optimistic) | |---|---|---|---| | MoM Revenue Growth | 5% | 10% | 18% | | Monthly Churn | 5% | 2.5% | 1% | | CAC | $800 | $500 | $300 | | Hiring pace | 50% of plan | 100% of plan | 120% of plan | | Fundraise timing | +3 months delay | On schedule | -2 months early |

    Output for each scenario:

  • Runway (months from today)
  • Break-even month
  • Cash at end of model period
  • Revenue at 12/24/36 months
  • Key risk: what causes bear scenario?

  • SaaS-Specific Metrics

    When modeling SaaS businesses, include these unit economics:

    LTV (Lifetime Value):
      LTV = ARPU / Monthly Churn Rate
      Example: $500 ARPU Γ· 2% churn = $25,000 LTV

    CAC (Customer Acquisition Cost): CAC = Total S&M Spend / New Customers Acquired Example: $50,000 S&M Γ· 100 new customers = $500 CAC

    LTV:CAC Ratio: Healthy = 3:1 minimum, 5:1+ strong $25,000 LTV Γ· $500 CAC = 50:1 (excellent)

    CAC Payback Period: Payback = CAC / (ARPU Γ— Gross Margin %) Example: $500 Γ· ($500 Γ— 70%) = 1.4 months

    Net Revenue Retention (NRR): NRR = (Beginning MRR + Expansion - Contraction - Churn) / Beginning MRR Target: >100% = expansion offsets churn


    Output Format

    Structured JSON for Export

    When generating model output, produce structured data in this format:

    {
      "model_meta": {
        "company": "Acme SaaS Inc.",
        "model_date": "2026-03-15",
        "currency": "USD",
        "period": "monthly",
        "horizon_months": 36
      },
      "assumptions": {
        "starting_mrr": 50000,
        "mom_growth_rate": 0.10,
        "monthly_churn_rate": 0.025,
        "gross_margin_pct": 0.70,
        "starting_cash": 1200000,
        "monthly_burn_base": 95000
      },
      "scenarios": {
        "base": {
          "runway_months": 15,
          "breakeven_month": 18,
          "arr_12m": 960000,
          "arr_24m": 2400000,
          "cash_end_of_model": 340000
        },
        "bear": { ... },
        "bull": { ... }
      },
      "monthly_projections": [
        {
          "month": 1,
          "mrr": 55000,
          "gross_profit": 38500,
          "total_opex": 90000,
          "ebitda": -51500,
          "net_burn": 51500,
          "cash_balance": 1148500
        },
        ...
      ]
    }
    

    Google Sheets Export Instructions

    When producing a Sheets-ready model: 1. Output as CSV blocks per tab: Revenue Model, P&L, Cash Flow, Balance Sheet, Scenarios 2. Use formula notation where helpful: =B2*(1+$B$1) style references 3. Highlight assumption cells (color note: yellow = input, blue = formula) 4. Include a Dashboard tab with: Runway, MRR, Burn Rate, Gross Margin % as headline KPIs


    Step-by-Step Workflow

    When a user asks to build a financial model:

    Step 1: Intake

    Collect these inputs (ask if not provided):
    β–‘ Company name and stage (pre-seed, seed, Series A?)
    β–‘ Business model (SaaS, marketplace, services, etc.)
    β–‘ Current MRR / ARR or monthly revenue
    β–‘ Current cash balance
    β–‘ Monthly headcount and loaded cost estimate
    β–‘ Key growth assumption (growth rate, sales targets)
    β–‘ Model horizon (12, 24, or 36 months?)
    β–‘ Purpose (internal planning, investor diligence, board deck?)
    

    Step 2: Build Revenue Forecast

  • Apply driver-based model for the business type
  • Calculate monthly revenue for each period
  • Show MRR bridge (new / expansion / churn)
  • Step 3: Build Expense Model

  • Headcount plan with hire dates
  • COGS as % of revenue or fixed
  • OpEx categories per above
  • Step 4: Assemble 3 Statements

  • P&L from revenue and expenses
  • Cash flow from P&L + working capital changes
  • Balance sheet from cumulative cash flow + equity raises
  • Step 5: Burn & Runway

  • Calculate net burn per month
  • Project runway from current cash
  • Identify break-even month
  • Step 6: Scenario Analysis

  • Run base, bear, bull with varied assumptions
  • Summarize: how bad does it have to get before we run out of cash?
  • Step 7: Output

  • Structured JSON or CSV for export
  • Narrative summary: key risks, milestones, funding gaps
  • Investor-ready summary table

  • Example Usage

    User: "We have $800k in the bank, burning $65k/month net, growing MRR at 8% per month from $30k base. How long is our runway and when do we break even?"

    Sam's response:

    Runway Analysis:

    Starting MRR: $30,000 | Net Burn: $65,000/month | Cash: $800,000

    Month-by-month (base case, 8% MoM growth): Month 1: MRR $32,400 | Burn est. $62,500 | Cash $737,500 Month 6: MRR $47,600 | Burn est. $47,000 | Cash $421,000 ← near breakeven Month 7: MRR $51,400 | Burn est. $44,000 | Cash $377,000 β†’ Cash flow positive Runway: ~13 months before cash hits $0 (bear) / 18+ months if growth holds (base) Break-even: Month 6-7 at ~$50k MRR (assuming costs stay relatively flat)

    Key risks: - Growth slows to 4%: runway drops to 9 months - Unexpected hiring: 2 engineers = -$25k/month β†’ runway -4 months Recommendation: Fundraise at month 8-9 (Series A prep) or hit $60k MRR as proof point first.


    Integration Points

  • crypto-tax-agent β€” for token/equity-based compensation modeling
  • cap-table-manager β€” for equity dilution modeling alongside funding scenarios
  • kpi-alert-system β€” set alerts when actual vs. model variance exceeds threshold
  • qbo-automation β€” pull actuals from QuickBooks to compare against model
  • report-generator β€” format model output into investor-ready PDF/deck

  • Reference: Key Formulas Cheat Sheet

    Gross Margin %     = (Revenue - COGS) / Revenue Γ— 100
    Net Burn           = Cash Out - Cash In (monthly)
    Runway (months)    = Cash Balance / Net Burn
    MoM Growth         = (Current MRR - Prior MRR) / Prior MRR Γ— 100
    ARR                = MRR Γ— 12
    LTV                = ARPU / Churn Rate
    CAC Payback        = CAC / (ARPU Γ— Gross Margin %)
    Rule of 40         = Revenue Growth % + EBITDA Margin % (target β‰₯ 40 for SaaS)
    Magic Number       = Net New ARR / Prior Quarter S&M Spend (target > 0.75)