# Immo Financial Model Tech-enabled iBuyer that acquires single-unit/single-family residential properties directly from homeowners, renovates and rents them under the IMMO Homes brand, and aggregates the portfolios into institutional investment products. - Canonical: https://finamodel.com/startups/immo - Excel download: https://finamodel.com/startup-models/immo.xlsx - Category: PropTech - Model type: SaaS ARR / Valuation - Funding round: Series B - Funding: $75M - Founded: 2022 - Geography: Europe - primary markets Germany (Hamburg confirmed) and Spain; "across Europe" referenced broadly. [DECK slides 02, 08, 21] - Customer: B2B ## About the company IMMO is a tech-enabled iBuyer that acquires single-unit and single-family homes directly from homeowners, renovates and rents them under IMMO Homes, and aggregates portfolios into institutional investment products. It combines property operations with a capital-product channel. The business operates across Europe, with Germany and Spain identified as primary markets. Its economics depend on home acquisition, renovation, rental operations, financing, and eventual institutional portfolio sales, rather than an asset-light subscription revenue stream. The model forecasts homes acquired, purchase price, renovation, days to lease, rent, occupancy, debt financing, and exit value. Acquisition fees, property operating costs, portfolio aggregation, and investor fees show property-level contribution, balance-sheet needs, and portfolio return scenarios. ## 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 Three interlocking value propositions: 1. **Sellers** - Certain, fast, fee-free iBuy offer. Online offer in <2 minutes, physical inspection, fixed completion date, no hidden costs. Seller receives 100% of agreed price vs. ~92% in traditional process. 2. **Residents/Renters** - Professionally renovated, furnished-optional, digitally managed IMMO Homes. Sample listing: 1,590 €/month in Hamburg. Amenities: professional clean, WiFi, equipped kitchen, modernised bathroom, washing machine in unit. 3. **Institutional Investors (IMMO Capital)** - Aggregated SUR/SFR residential exposure at scale; stable yield, diversified, inflation-protected; ESG-qualified. Described as "transforming residential into a liquid fixed income investment experience." Tech stack: proprietary sourcing engine (billions of € in leads), risk-return market identification model, inspection app (300+ data points), automated underwriting algorithm, live self-service portfolio reporting. ## Market - Global residential assets: >€230 trillion - EU28 total residential assets: ~€40 trillion - Annual European residential transaction volume: ~€1.6 trillion (~€1.8 trillion cited on slide 7, slightly different; image reads €1.6 trillion on slide 16) - Annual European resi transactions: +7 million - Average transaction size (assumed by IMMO): ~€250,000 - Renters in Europe: ~175 million people; ~70 million households - European households renting: ~30% overall; up to 85% in urban centres; >70% in major German cities - Annual European rent pool: ~€600 billion - Capital seeking yield: ~€130 trillion controlled by institutional asset owners; ~€15 trillion negative-yield bonds; ~€77 trillion pension/insurance assets; ~€13 trillion European bank deposits - Only 0.1% of €175 trillion global residential assets invested in annually; 98% of consumer-market SUR/SFR transactions ignored by institutions ## Revenue model Three revenue streams (none with specific rates disclosed in deck): 1. **Acquisition spread / iBuy margin** - IMMO buys below market (covers due diligence, conveyancing; no hidden fee to seller but buys at a discount to on-market value). Spread between acquisition price and fair value constitutes unrealised gain on asset aggregation. 2. **Rental income** - Gross rent collected from residents. Sample data point: 1,590 €/month for a Hamburg apartment. Rental yield target range implied by scatter chart: ~2.75%–3.5% QEY. 3. **Asset management / capital product fees** - IMMO structures and manages residential portfolios for institutional investors (IMMO Capital). Fee structure (management fee, performance fee) not disclosed in deck. Channels: D2C (instaimmo.de), brokers, listing platforms for deal sourcing. Lettings via own digital platform. ## Traction & metrics The deck is light on hard traction numbers. Qualitative milestones only: - "Aggregated a successful proof case portfolio and developed a quality redefining lettings product" - "Built out tech stack and operations to scale sourcing, lettings and management" - "Created a highly profitable business model" - no revenue or margin figures provided - "Successfully raised multiple levels of capital to unlock new asset class" - "Billions of Euros in property leads analysed" - "Tens of thousands of municipalities" analysed with risk-return model - Sample market: Hamburg (multiple listed properties visible in app screenshots) - Investors: Talis Capital, Fintech Collective, Surplus No portfolio unit count, AUM, revenue, occupancy rate, or churn figure is disclosed. ## Competition / moat - **Competitive positioning**: IMMO positions against: (a) traditional estate agents (opaque, expensive, 6–7% commission); (b) institutional MFH block investors (>€25m transactions, ignoring 98% of supply); (c) private unprofessional landlords (bad product, no brand). - **US SFR analogues cited**: Blackstone ($6B Home Partners deal), Invitation Homes, Tricon ($5B), Pretium, Brookfield, Invesco/Mynd, Lennar/Centerbridge - framed as validation that European SFR is the next wave. - **Stated moats**: proprietary sourcing engine + data; inspection app + algorithmic underwriting; first-mover in European SUR/SFR aggregation at scale; ESG positioning. - No named European direct competitors cited. ## Team & funding ask / use of funds **Team** (slide 3, ~23 named): CEO Hans-Christian Zappel, CIO Samantha Kempe, COO Avinav Nigam; functions span legal, strategy, country ops (DE/ES), asset services, resident/consumer revenue, portfolio finance, capital, sustainability, engineering, product, growth, data science. - 43% women, 16 nationalities, 11 languages - Backgrounds: Blackstone, Morgan Stanley, Goldman Sachs, Clikalia, Amazon, BlackRock, PwC, Google, IKEA, Uber, Booking.com **Investors & Advisors**: Talis Capital, Fintech Collective, Surplus (VCs); Andrew Baum (Real Estate Strategist, Oxford Said), Todd Rupert (ex T. Rowe Price CEO), Tom Stafford (DST Global) --- ## Recommended financial model - **Archetype + why**: **Real estate portfolio company P&L + asset roll-forward model** (hybrid of a buy-to-let property company and an asset manager). IMMO is not a pure SaaS or marketplace - it takes assets on balance sheet, renovates, holds, and generates rental yield. The capital product adds an asset management fee layer. Closest comparables: Opendoor (iBuy P&L) + Invitation Homes (SFR operating model) + a thin asset management fee business. A 3-statement model with a separate property-level waterfall is appropriate. - **Forecast horizon & granularity**: 5-year annual model (Y1–Y5) with quarterly granularity in Y1–Y2. Monthly is impractical without deal-flow visibility; quarterly captures renovation cycle (typical SFR turnaround: 4–12 weeks). - **Key drivers & assumptions**: - **Units acquired per quarter**: Start at ~20 units/quarter in Y1, scaling to ~150/quarter by Y5, subject to capital availability. Rationale: iBuyers typically ramp slowly to prove operational model before institutional capital gates open. - **Average acquisition price per unit**: ~€250,000 (consistent with IMMO's own source footnote on slide 7 assuming €250k average transaction size). - **iBuy discount / acquisition margin**: 5–8% below market value (industry norm for iBuyers covering due diligence costs and providing certainty premium to seller). No deck figure. - **Renovation capex per unit**: €15,000–€30,000 (light-to-medium SFR refurb; IMMO emphasises "standardised refurb"). No deck figure. - **Gross rental yield (QEY)**: ~2.75%–3.5% target range per scatter chart on slide 21. Use 3.0% as base case on all-in asset cost (acquisition + capex). - **Average monthly rent per unit**: ~€1,200–€1,600/month depending on market (Hamburg sample: 1,590 €/month); model as a function of asset value × gross yield / 12. - **Renovation period / void months**: 2–3 months average between acquisition and first rent receipt. - **Occupancy rate**: 92% stabilised (standard European SFR assumption; urban German markets structurally undersupplied). - **Operating costs / property management OpEx**: 25–30% of gross rent (property management, maintenance, insurance, property tax). European BTL norms. - **Asset management fee (IMMO Capital)**: 0.75–1.0% of AUM per annum + possible performance fee. Fee structure not in deck. - **Corporate overhead / tech opex**: Scale with headcount; seed at ~€3–4m/year growing with unit count. - **Capital structure on assets**: 60–70% LTV debt financing on portfolio (standard institutional SFR leverage); interest rate ~4–5% (European rates at time of model build). No deck figure. - **Exit / terminal value**: Portfolio exit at ~20–25x NRI (NOI) or 4–5% cap rate - consistent with European residential institutional pricing. - **Scenarios (Base / Bull / Bear - which variables flex)**: - **Bull**: Acquisition pace 2× base; institutional capital committed early; gross yield holds at 3.5%; occupancy 95%. - **Base**: Acquisition ramp as modelled above; yield 3.0%; occupancy 92%; moderate leverage. - **Bear**: Slow institutional capital commitment delays asset ramp; renovation costs overshoot; yield compresses to 2.5% (rising purchase prices outpace rents); occupancy 85%. - **Required sheets / outputs**: 1. **Assumptions & drivers** (central input sheet) 2. **Deal flow & acquisitions** (units acquired by quarter, avg price, renovation capex, all-in cost) 3. **Portfolio roll-forward** (opening/closing unit count, AUM, stabilised vs. in-renovation split) 4. **Rental P&L** (gross rent, vacancy, property OpEx, NOI, NOI margin) 5. **Capital product / AM fees** (AUM × fee rate) 6. **Debt schedule** (LTV-based facility drawdown, interest expense, amortisation) 7. **Corporate P&L** (consolidated: NOI + AM fees − corporate overhead − interest = EBITDA / net income) 8. **Balance sheet** (property assets, debt, equity) 9. **Cash flow statement** (operating CF, acquisition capex, debt draws/repayments, equity raises) 10. **Scenarios tab** (toggle Base/Bull/Bear) 11. **Dashboard** (AUM, unit count, occupancy, NOI yield, cash balance, equity value) ## Frequently asked questions ### Is the Immo financial model free? Yes. The Immo 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.