# Terra One Financial Model Full-stack grid-scale battery energy storage platform - develops, finances, builds, and operates BESS assets aggregated into a virtual power plant for grid services and energy trading. - Canonical: https://finamodel.com/startups/terra-one - Excel download: https://finamodel.com/startup-models/terra-one.xlsx - Category: Fintech - Model type: Project finance - Funding round: Seed - Funding: $7.5M - Founded: 2024 - Geography: Germany (primary); positioned as "Europe's leading" platform, implying EU expansion ambition. - Customer: B2B ## About the company Terra One develops, finances, builds, and operates grid-scale battery energy-storage assets aggregated into a virtual power plant. It uses the portfolio to sell grid services and trade electricity, applying AI to help optimise dispatch. This is a capital-intensive infrastructure business, not a conventional software company. Each battery site has a development and construction period followed by recurring revenue from contracted ancillary services and intraday power-market activity. The model should forecast an asset pipeline by site, MW and MWh capacity, capex, commissioning date, contracted grid-services revenue, and trading margin. Debt, equity, depreciation, operating cost, battery degradation, and merchant-price scenarios must be modelled at asset level before consolidation. ## 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 - Grid-scale BESS: develops sites from property acquisition through permitting, constructs with Samsung SDI batteries + Sungrow inverters, and operates the assets. - Platform aggregates all battery sites into a single virtual power plant (VPP). - AI/GPT-based price prediction software (Deep Neural Net V1.4) forecasts day-ahead and intraday electricity prices to optimise dispatch and trading decisions. - Trading manager module places bids on energy exchanges (Erex) and provides grid frequency-regulation services to grid operators. - Value claim: profitable without subsidies; lowers cost of power for consumers and industry. ## Market - Problem framing: 19 TWh of renewable energy wasted in Germany alone in 2023 - enough to power 6 million households for a year. - VRE installed capacity (Germany reference scenario, Fraunhofer ISE 2021): 152 GW in 2020 → 606 GW by 2044. - Storage capacity required (Germany reference scenario, Fraunhofer ISE 2021): ~1 GWh in 2020 → ~178 GWh by 2044; headline claim "100x by 2040." - No explicit TAM/SAM/SOM figures in €/$ terms provided in deck. ## Revenue model Two revenue streams, both flowing through the VPP platform: 1. **Grid services** - sell ancillary services (frequency containment reserve, FCR; likely also aFRR) to grid operators (TSOs). Paid per MW of capacity contracted. 2. **Intraday energy trading** - buy/sell power on exchanges (ERIX/intraday spot) using AI price predictions to arbitrage spread between negative-price periods and peak demand. Revenue is spread × MWh cycled. No explicit pricing per MWh or per MW/year stated in deck. No revenue figures disclosed. ## Traction & metrics - 6 operational or under-construction BESS sites visible in dashboard (May 2024): - Warstein: 15 MWh / 10 MW - Eisenach: 15 MWh / 10 MW (label says "15.00 MWh" / "10.33 MW" in image) - Bad Düben: 15 MWh / 10 MW (labeled "in construction") - Datensee: 15 MWh / 10 MW (labeled "in construction") - Iphofen: 24 MWh / 20 MW - Husum: 15 MWh / 10 MW (labeled "in construction") - Total visible pipeline: ~99 MWh / ~70 MW across 6 sites. - No revenue, ARR, or profitability figures disclosed in deck. ## Competition / moat Not explicitly addressed in deck. Implied moats: - Proprietary AI trading software (Deep Neural Net V1.4) for price forecasting - claimed "best-in-class revenues." - Full-stack integration (develop → finance → build → operate) compresses development timeline and increases ROI vs. fragmented competitors. - Team experience: prior roles at OpenAI, NextEra Energy, Next Kraftwerke, BayWa r.e., Macquarie, E.ON, Statkraft, RWE. ## Team & funding ask / use of funds - **Team:** Tony Schumacher (CEO), Thomas Antonioli (CFO), Charles Gilmour (VP EPC). - **Investors:** 468 Capital, neosfer, a16z, Hedosophia, Bit Capital. --- ## Recommended financial model - **Archetype + why:** Infrastructure project-roll-up P&L + asset pipeline model. Terra One is an asset developer-operator: each BESS site is a discrete capital project with a fixed capex, then generates recurring revenue via grid services and trading. The right model tracks a pipeline of sites (MWh/MW), each with its own construction schedule and operating ramp, rolled up to consolidated revenue, EBITDA, and debt service. This is closer to a renewable energy IPP (independent power producer) model than SaaS or DTC. - **Forecast horizon & granularity:** 5 years (2024–2028), monthly for Year 1–2 (construction draws, commissioning dates matter), annual for Years 3–5. Site-level build-up rolling into consolidated P&L. - **Key drivers & assumptions:** *Pipeline & capacity* - Sites commissioned per year - Average site size: 15 MWh / 10 MW - Capex per MWh installed *Revenue* - Grid services revenue (FCR/aFRR): €/MW/year - Trading spread: €/MWh arbitraged, × cycles/day × operating days - Revenue mix split between grid services vs. trading *Costs* - O&M per MWh/year - Battery degradation / augmentation capex - Software/platform OpEx (headcount, cloud, data feeds) - Corporate overhead (CEO/CFO/VP + hires) *Financing* - Project debt per site (non-recourse or corporate) - Interest rate - Equity injection per site = residual capex after debt - **Scenarios (Base / Bull / Bear - which variables flex):** - **Base:** 6 sites/year, FCR price €60k/MW/year, trading spread €40/MWh, 1.5 cycles/day - **Bull:** 10 sites/year, FCR €80k, trading spread €55/MWh - AI edge proves out, faster permitting - **Bear:** 3 sites/year, FCR €40k (market oversupply of storage), trading spread €25/MWh - regulatory delays + price compression as storage capacity scales - **Required sheets / outputs:** 1. Assumptions - all drivers above, centrally controlled 2. Site Pipeline - site-by-site schedule (start construction, commissioning date, MWh, MW, capex, debt draw, equity) 3. Revenue Build - per site: FCR revenue + trading revenue, then consolidated 4. P&L - Revenue → Gross Profit → EBITDA → EBIT → Net Income (consolidated) 5. Capex & Debt Schedule - draw schedule, amortisation, interest 6. Cash Flow - operating CF + investing CF (capex) + financing CF (debt/equity raises) 7. KPI Summary - total MWh installed, MW operating, revenue/MWh, EBITDA margin, equity IRR per cohort 8. Scenarios toggle (Base / Bull / Bear) ## Frequently asked questions ### Is the Terra One financial model free? Yes. The Terra One 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.