# Verkor Financial Model Digital, smart & low-carbon battery cell Gigafactory targeting Southern Europe, with a pilot line (VIC) as first step before full-scale production. - Canonical: https://finamodel.com/startups/verkor - Excel download: https://finamodel.com/startup-models/verkor.xlsx - Category: Climate/Energy - Model type: SaaS ARR / Valuation - Funding round: Venture - Funding: $119M - Founded: 2021 - Geography: Southern Europe (France implied by Renault partnership and InnoEnergy/EIT backing). - Customer: B2C ## About the company Verkor plans to manufacture low-carbon battery cells for EV OEMs and pack integrators, using a digitally optimised production system and in-line recycling of production scrap. Its Battery Intelligent Manufacturing System is intended to improve yield and reduce cost and emissions. Commercialisation starts with a 50–150 MWh annual pilot line before a planned 16 GWh gigafactory, scaling to 50 GWh by 2030. Renault is identified as an application partner, but the deck discloses no contracted cell volumes, pricing, or revenue; its central challenge is industrial scale-up. The model should stage pilot and gigafactory capex, commissioning, utilisation ramp, cell ASP per kWh, material and manufacturing COGS, scrap, and labour. Forecast revenue as GWh produced times price, with project financing and cash requirements layered underneath; construction timing, yield improvement, and price pressure are the decisive 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 - Battery cells manufactured at industrial scale with a digitally-optimised production process. - Two differentiators claimed: (1) BIMS (Battery Intelligent Manufacturing System) - unified cloud/data architecture across the production line to reduce scrap and boost yield; (2) DROPS (Direct Recycling of Production Scraps) - in-line recycling of production waste. - Value proposition: best production yield on market → lower cell cost per kWh and lower CO₂ footprint vs. incumbents. - First milestone: Verkor Innovation Centre (VIC) - 50–150 MWh/y pilot line in a 12,000 m² building; R&D lab + training centre for 100–150 direct jobs. - Gigafactory: 16 GWh initial capacity (target start 2024), scaling to 50 GWh by 2030. ## Market - Competitive framing: European gigafactories concentrated in Northern Europe and cannot meet demand - Verkor positions in Southern Europe as an underserved region. - Competitors/peers mapped on slide: Northvolt, CATL, LG, Samsung, Tesla, PSA/ACC, SVOLT, MORROW, AMTE, AV, ItalVolt, InoBat. - No TAM/SAM/SOM figures, no market-size numbers, no EV market growth figures in deck. ## Revenue model - Revenue model: B2B battery cell sales to EV OEMs and pack integrators (Renault Group confirmed as application partner). - Pricing basis: per-kWh cell pricing (industry standard); no $/kWh figure stated in deck. - Channels: direct supply agreements with OEMs (Renault Group MoU); pack integrators (MoUs to be announced). - At 16 GWh capacity: powers ~300,000 cars/year (implied ~54 kWh average pack). - No revenue figures, no pricing, no contracted volume in deck. ## Traction & metrics - VIC: 50–150 MWh/y pilot line capacity; 12,000 m² building; 100–150 direct jobs at VIC. - Gigafactory Phase 1: 16 GWh initial production capacity, start 2024. - Gigafactory Phase 2: 50 GWh target by 2030. - Jobs: 2,000+ direct jobs; 10,000 indirect jobs (at full 16 GWh scale). - Cars powered: 300,000 per year at 16 GWh. - Team: 40+ experts; 200+ years cumulative battery experience. - No revenue, no contracts signed with volumes, no financial traction data in deck. ## Competition / moat - Geographic moat: only gigafactory planned in Southern Europe; all major incumbents cluster in Northern/Central Europe. - Technology moat: BIMS digital manufacturing platform + DROPS in-line recycling system claimed to deliver best production yield → lowest cell cost + lowest CO₂. - Talent moat: team with prior roles at Tesla, BMW, Panasonic, Samsung, A123 Systems, Northvolt, SVOLT. - Ecosystem moat: consortium covering full value chain - Arkema + Tokai Cobex (active materials), Schneider Electric + Capgemini (manufacturing), Renault Group (application), EQT Ventures + InnoEnergy + IDEC + Demeter FMET (investors/backers). ## Team & funding ask / use of funds - CEO: Benoit Lemaignan (Airbus, Carbone 4, InnoEnergy, Waga Energy). - CSO: Sylvain Paineau (Thales, Schneider Electric, InnoEnergy). - CTO: Christophe Mille (BMW, Apple, Tesla). - CIO: Gilles Moreau (Lancey, CEA). - CCO: Philippe Chain (Tesla, Renault, Audi). - CMO: Anna Teyssot (Renault, Alliance Ventures). - Operations: Sam Kim (SVOLT, A123 Systems). - Finance: Charline Baechele (Deloitte, InnoEnergy). - Backers shown: EQT Ventures, EIT InnoEnergy, IDEC Groupe, Demeter FMET. ## Recommended financial model - Archetype + why: **Industrial project finance / capacity-build P&L model** - this is a pre-revenue hard-asset manufacturing startup. The correct archetype is a phased capex + production ramp model: (1) VIC pilot phase capex and opex, (2) Gigafactory Phase 1 (16 GWh, 2024 start) with ramp curve, (3) Phase 2 expansion to 50 GWh by 2030. Revenue is GWh produced × $/kWh ASP. NOT a SaaS or marketplace model. - Forecast horizon & granularity: 2021–2030 annual (10 years). Monthly granularity for VIC phase (2021–2023); annual from 2024 onward. - Key drivers & assumptions: - VIC capacity: 50–150 MWh/y; use 100 MWh/y midpoint for base case - VIC capex: €30–50M, typical for 12,000 m² pilot battery line; not in deck - Phase 1 Gigafactory capacity: 16 GWh - Phase 1 start date: 2024 - Phase 1 capex: ~€1.2–1.5B (industry benchmark ~€75–100M/GWh for greenfield); not in deck - Phase 2 capacity: 50 GWh; target year 2030 - Phase 2 capex: incremental ~€2.5–3B for additional 34 GWh - Ramp curve: 30% / 60% / 85% / 95% utilisation in years 1–4 post start-up (standard gigafactory ramp) - Battery cell ASP: €80/kWh in 2024 declining to €60/kWh by 2030 (industry consensus trajectory) - Cell COGS: €65/kWh at start, improving to €45/kWh by 2030 via yield gains and scale (moat claim) - Gross margin: ~18–25% at scale (range consistent with tier-1 cell manufacturers) - Headcount: 2,000+ direct at 16 GWh; €60–80K avg loaded salary → ~€130–160M annual labour cost at Phase 1 scale - Scrap/yield rate: 5–8% scrap (better than market due to BIMS/DROPS); drives COGS improvement - Revenue per car: 300,000 cars at 16 GWh → implied ~53 kWh average pack size - Scenarios (Base / Bull / Bear - which variables flex): - Bull: Phase 1 ramp faster (full utilisation by year 2); ASP decline slower (€85→€70); higher yield from BIMS - Base: standard ramp; ASP €80→€60; industry-average yield improvement - Bear: 12-month construction delay to Phase 1; ASP compressed by CATL/Northvolt competition (€75→€50); yield improvement slower - Required sheets / outputs: 1. Assumptions - all drivers with scenario toggles 2. VIC P&L - pilot line 2021–2023 (capex, opex, headcount, grant income if any) 3. Gigafactory Build - capex schedule Phase 1 and Phase 2, debt/equity split, depreciation 4. Production Model - GWh capacity, utilisation ramp, MWh output, scrap loss 5. Revenue & COGS - GWh sold × ASP, raw material costs, labour, energy, overhead 6. P&L - gross margin, EBITDA, EBIT, D&A, net income 7. Balance Sheet - PP&E build, debt drawdown and repayment, equity raises 8. Cash Flow - operating CF, capex, financing; liquidity and covenant headroom 9. Funding Waterfall - equity rounds, debt (likely project finance), grants/subsidies (EU/French state likely given InnoEnergy backing) 10. Dashboard - KPIs: GWh produced, $/kWh ASP, gross margin %, EBITDA %, cumulative capex, cash runway ## Frequently asked questions ### Is the Verkor financial model free? Yes. The Verkor 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.