Retail Startup Financial Models - Startup Fundraising - Excel Historical & Projection Models
Budget: $250 – $750 AUD
Experienced financial modeller to produce two investor-ready Excel workbooks for a retail hard goods startup:
1. Historical / Due Diligence Workbook – Clean, reclassify, and structure five years of raw financial statements so an investor can quickly understand past performance. Brief annotations to clarify unusual items or trends are helpful, but full narrative is not required.
2. Forward-Looking Projection Model – Build 3–5 year forecasts with clearly separated assumptions for revenue, expenses, and capital expenditures. P&L, cash flow, and balance sheet should cascade from these drivers. Include scenario toggles and a simple valuation output (DCF or multiples). A sample model can be provided for guidance.
Deliverables:
2. Cleaned Historical Workbook, fully reconciled. With notes.
2. Dynamic Projection Model with clearly flagged assumption inputs and unlocked formulas.
Nice to Have:
- Experience understanding how investors or corporate finance professionals evaluate models and advise on key inputs and KPIs.
- Ability to build the technical models and explain assumptions, structure, and outputs in plain-language terms for clear understanding.
- Can advise on required inputs and assumptions prior to starting the modeling to ensure projections are accurate and investor-ready.
1. Historical / Due Diligence Workbook – Clean, reclassify, and structure five years of raw financial statements so an investor can quickly understand past performance. Brief annotations to clarify unusual items or trends are helpful, but full narrative is not required.
2. Forward-Looking Projection Model – Build 3–5 year forecasts with clearly separated assumptions for revenue, expenses, and capital expenditures. P&L, cash flow, and balance sheet should cascade from these drivers. Include scenario toggles and a simple valuation output (DCF or multiples). A sample model can be provided for guidance.
Deliverables:
2. Cleaned Historical Workbook, fully reconciled. With notes.
2. Dynamic Projection Model with clearly flagged assumption inputs and unlocked formulas.
Nice to Have:
- Experience understanding how investors or corporate finance professionals evaluate models and advise on key inputs and KPIs.
- Ability to build the technical models and explain assumptions, structure, and outputs in plain-language terms for clear understanding.
- Can advise on required inputs and assumptions prior to starting the modeling to ensure projections are accurate and investor-ready.