A complete Series A financial model for CleanTech startups. Revenue model, unit economics, hiring plan, cash flow projections, and funding scenarios — structured for investor review.
Projection Horizon
5 years (monthly for Years 1-2, annual for Years 3-5)
Model Tabs
8 core tabs
Format
Excel + Google Sheets
Scalability of the revenue model and efficiency of the go-to-market. Series A investors validate that the growth engine is repeatable and unit economics improve with scale.
Cleantech models need a separate project pipeline tab with each project showing MW, development cost, expected commissioning date, and IRR. Aggregate project economics feed the P&L. Investors assess the portfolio IRR, not just company-level revenue.
Project finance model for physical assets with energy production, PPA pricing, and capacity factor assumptions. Build a project pipeline tab tracking projects from development through commissioning.
Series A models are reviewed by investment committee analysts. Include a data room version with formula audit trail turned on. Avoid hardcoded numbers in cells — every input should flow from the assumption dashboard.
Three scenarios: upside (125% of plan), base (100%), and downside (70%). Include key assumption levers for each scenario and the capital required in each path.
A Series A CleanTech financial model should cover 5 years (monthly for Years 1-2, annual for Years 3-5) of projections with these tabs: Executive Summary Model, Revenue Model with Cohorts, Unit Economics Dashboard, Headcount Plan by Department, Departmental P&L, Cash Flow Forecast, Funding Scenarios, Sensitivity Analysis. Scalability of the revenue model and efficiency of the go-to-market. Series A investors validate that the growth engine is repeatable and unit economics improve with scale.
Project finance model for physical assets with energy production, PPA pricing, and capacity factor assumptions. Build a project pipeline tab tracking projects from development through commissioning. The key revenue drivers are: Energy generation volume (MWh) x PPA price or market rate; Renewable Energy Certificate (REC) sales; Capacity payments and ancillary services; Carbon credit and offset revenue.
CleanTech unit economics at the Series A stage should include: Levelized Cost of Energy (LCOE) per MWh; Internal Rate of Return (IRR) per project; Payback period on project capital investment; Debt service coverage ratio (DSCR) for project finance. Cleantech models need a separate project pipeline tab with each project showing MW, development cost, expected commissioning date, and IRR. Aggregate project economics feed the P&L. Investors assess the portfolio IRR, not just company-level revenue.
Series A models are reviewed by investment committee analysts. Include a data room version with formula audit trail turned on. Avoid hardcoded numbers in cells — every input should flow from the assumption dashboard. Start with the smallest unit of your business (one customer, one transaction, one seat) and build up from there. Every assumption should have a source or benchmark you can defend in an investor meeting.
Three scenarios: upside (125% of plan), base (100%), and downside (70%). Include key assumption levers for each scenario and the capital required in each path.
Get the CleanTech Series A financial model as a pre-built Excel and Google Sheets template. Assumptions dashboard, revenue model, unit economics, and cash flow — ready to customize.
Includes Excel file, Google Sheets version, and model documentation guide