# Terraformation Financial Model Hyperscaling forest restoration using solar-powered desalination to solve climate change at scale [DECK slide 1] - Canonical: https://finamodel.com/startups/terraformation - Excel download: https://finamodel.com/startup-models/terraformation.xlsx - Category: Climate/Energy - Model type: 3-Statement - Funding round: Series A - Funding: $30M - Founded: 2021 - Geography: Pilot site in North Kohala, HI (USA) [DECK slide 6]; global ambition implied throughout - Customer: B2B ## About the company Terraformation builds reforestation infrastructure around solar-powered desalination, native seed banks, and open-source forestry tools and training. The aim is to remove land and freshwater constraints so local teams can establish and maintain large-scale native forests. Its market thesis is the scale of atmospheric CO2 and the need for durable, low-emissions removal, rather than a disclosed software or product TAM. The deck cites an operational North Kohala, Hawaii site but gives no revenue, planting, sequestration, customer, or funding metrics. The model should be project-finance led: each site needs land, solar, desalination, seed-bank, workforce, and maintenance capex and opex before carbon credits become measurable. Forecast hectares, survival, sequestration, verification, and credit price by cohort, roll projects into a consolidated cash flow, and treat grants and credit timing as material sensitivities. ## What's included - 5-year monthly revenue build with stage-appropriate growth assumptions - Full P&L, headcount plan, and operating-expense schedule - Cash-flow statement, runway, and burn-rate tracking - Valuation via exit multiple with a DCF cross-check - Returns analysis with MOIC and IRR - Unit economics including CAC, LTV, payback, and cohort retention ## Product & value proposition - Core offering: A reforestation infrastructure stack that solves two key scalability bottlenecks - land and freshwater - by pairing solar-powered desalination with native seed banks and open-source forestry apps/training - Desalination insight: Solar prices have fallen enough to make low-emissions desalination economically viable at scale; desalination can tolerate solar intermittency, allowing leapfrog of the grid transition - Open-source tooling: Apps and training programmes that convert non-foresters into productive reforestation technicians, massively parallelising the workforce - Decentralised seed bank infrastructure - Value proposition framing: Trees are described as a "self-replicating carbon sequestration machine that runs on water and sunlight, produces no pollution, can be operated by people around the world, and has already localised into 1,000+ variants, some producing organic food" - Positioning: Lowest-cost, safest, fastest, most effective, and most politically feasible CO2 removal method ## Market - Problem scale cited: 45 billion tons of CO2 emitted per year; ~800 billion tons of extant CO2 in atmosphere; 1 trillion trees as the implied target - No TAM/SAM/SOM framing or dollar market-size figures provided in deck - CO2 atmospheric chart (1750–2019): atmospheric CO2 rose from ~280 ppm (1750) to ~415 ppm (2019); annual emissions rose from near 0 to ~35 billion tons ## Traction & metrics - One operational site referenced: North Kohala, HI (before/after photo shown) - No revenue, customer count, trees planted, tonnes sequestered, or other operational KPIs disclosed - No funding history or round metrics disclosed ## Competition / moat - Implicit competitive framing: deck argues against new/unproven technology as a solution (DAC, BECCS implied but not named); positions proven-tech scalability as the moat - Moat sources implied: decentralised seed bank IP, open-source network effect, solar-desal cost curve advantage, and first-mover on land + water bottleneck solution - No named competitors ## Team & funding ask / use of funds --- ## Recommended financial model - **Archetype + why:** Carbon removal / reforestation project finance model with a 3-statement overlay. This is not a standard SaaS or DTC business - it is a capital-intensive environmental infrastructure play. The right model is a project-level P&L + balance sheet that tracks: (a) capex deployment into sites (desal + solar + seed banks + land), (b) operating costs of site maintenance and workforce, (c) carbon credit revenue (tonnes sequestered × credit price) as the primary revenue driver, with a rollup across multiple sites as the core scaling mechanic. - **Forecast horizon & granularity:** - 10-year model (Y1–Y10), annual granularity - Early years (Y1–Y3): site buildout and pre-revenue / grant-funded phase - Mid years (Y4–Y7): first carbon credit revenue as trees reach measurable sequestration thresholds - Later years (Y8–Y10): portfolio scaling and potential land/forestry asset monetisation - **Key drivers & assumptions:** | Driver | Value | Source | | -- | -- | -- | | Cost of desalination per m³ of water | ~$0.50–$1.00/m³ at solar scale; rationale: current utility-scale solar desal benchmarks | | Solar LCOE enabling desal | <$0.03/kWh utility scale; rationale: consistent with global solar cost curves ca. 2020–2024 | | Hectares per site | 100–1,000 ha pilot, scaling to 10,000+ ha sites; rationale: standard large reforestation project scale | | Trees per hectare | 1,000–2,500 depending on native species mix; rationale: tropical/subtropical forestry norms | | CO2 sequestered per hectare per year (mature) | 5–15 tonnes CO2/ha/year; rationale: peer-reviewed range for tropical forest | | Years to measurable sequestration (for credit issuance) | 5–7 years; rationale: standard Verra/Gold Standard project timelines | | Carbon credit price (voluntary market) | $10–$50/tonne base case; rationale: voluntary carbon market range; bull case $100+/tonne with policy tailwinds | | Capex per site (desal + solar + seed bank + nursery) | $2M–$10M depending on site size; rationale: proxy from desal plant costs + solar capex | | Opex per site per year | $500K–$2M; rationale: labour, maintenance, monitoring | | Number of sites in Year 5 / Year 10 | 5 / 50; rationale: venture-funded scaling trajectory | | Grant / philanthropic funding proportion (early) | 60–80% in Y1–Y3; rationale: carbon markets immature at project inception | | Open-source tool licensing revenue | $0 in base case (decentralised, free); upside scenario only | - **Scenarios (Base / Bull / Bear - which variables flex):** - Bear: Carbon credit price stays low ($10/tonne); project permitting delays; desal capex overruns; 20 sites by Y10 - Base: Carbon credit price $25–$40/tonne; 50 sites by Y10; grant bridge covers early losses - Bull: Carbon credit price $80–$100/tonne (regulatory / Article 6 tailwinds); 100+ sites by Y10; open-source platform generates SaaS licensing revenue; land asset value appreciated - **Required sheets / outputs:** 1. Assumptions - all drivers above with toggle for scenario 2. Site Build Schedule - site count, capex timing, cumulative ha planted 3. Carbon Sequestration Model - ha × trees/ha × CO2/ha/yr ramp curve → annual tonnes sequestered 4. Revenue - tonnes sequestered × credit price; optional: grant income, tool licensing 5. Opex - site-level labour, desal + solar opex, HQ overhead 6. Capex & Depreciation - desal plant, solar array, nursery, seed bank infrastructure 7. P&L - revenue minus opex, EBITDA, D&A, EBIT 8. Balance Sheet - project assets, debt (project finance), equity raised 9. Cash Flow - FCF, funding gap, cumulative cash burn, runway 10. Returns / Impact Summary - IRR, CO2 removed (cumulative tonnes), cost per tonne, implied % of annual global emissions addressed ## Frequently asked questions ### Is the Terraformation financial model free? Yes. The Terraformation model is a free Excel download with live formulas. ### Can I change the assumptions? Yes. The workbook is editable and its live formulas recalculate when assumptions change.