# Esusu Financial Model Rent-reporting and credit-building platform that helps renters build credit scores while giving landlords ESG analytics and housing-stability loans. - Canonical: https://finamodel.com/startups/esusu - Excel download: https://finamodel.com/startup-models/esusu.xlsx - Category: Fintech - Model type: SaaS ARR / Valuation - Funding round: Series B - Funding: $130M - Founded: 2020 - Geography: United States. - Customer: B2B2C ## About the company Esusu helps renters build credit by reporting on-time rent payments while giving landlords tools for rent-risk analysis and housing-stability support. It turns a historically invisible payment behaviour into a potential credit-building asset for tenants. The platform sells primarily to landlords and property managers, where a per-unit subscription can scale with portfolio adoption. Analytics, ESG data, and small renter-support loans create additional products around the core rent-reporting relationship. The model should forecast property-manager logos, units enrolled, monthly revenue per unit, and expansion into analytics products. Housing-stability loans require a separate origination, repayment, interest or fee, funding, and loss schedule so the recurring SaaS engine remains visible. ## 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 integrated products sold as a platform: 1. **Rent Reporting** - integrates with property-management software (Entrata, MRI, RealPage, Yardi, ResMan) to report on-time rent payments to Experian, Equifax, and TransUnion, helping renters build credit scores. Landlords benefit from improved on-time payment rates. 2. **Housing Stability Loans** - micro-loans to renters at risk of eviction; reduces landlord turnover and improves cash flow. 3. **Esusu RentRisk Analytics Platform** - ESG/impact-measurement dashboard for landlords and lenders; tracks building stability score, tenant credit profiles, demographic data, cash flow, rental history; AI/ML predictive risk scoring. Platform sits between landlord/renter → property software → Esusu → all three major credit bureaus. ## Market - 109 million Americans pay rent monthly; average rent ~$1,100/month; total rent flow ~$1.44 trillion/year. - ~100 million renters (>90%) do not get credit for on-time rent. - Rent represents >35% of monthly income for many renters. - 48 million rental units in the US; Esusu integrated into 38 million. - Market opportunity slide (slide 7) shows three charts (bar/bar/donut) - specific dollar TAM/SAM/SOM figures are illegible due to image blur; cannot be cited. - No explicit TAM/SAM/SOM dollar figures readable from deck. ## Revenue model Deck does not spell out pricing or fee schedules explicitly. Based on the three products: - **Rent Reporting SaaS** - B2B subscription sold to landlords/property managers per unit per month. - **RentRisk Analytics** - likely bundled SaaS or upsell tier to landlords/lenders. - **Housing Stability Loans** - origination fees and/or interest income on microloans deployed to renters. - Indirect revenue enabler: ESG data sold/licensed to lenders and institutional real estate investors. No pricing tiers, ARPU, or revenue figures disclosed in the deck. ## Traction & metrics All figures from the deck: - **Platform coverage**: Integrated into 38M of 48M US rental units. - **Landlord partners**: 35% of the largest US landlords; 2.5M units; 6M+ renters. - **Named partners**: Cushman & Wakefield, Starwood Capital Group, Related Companies, Goldman Sachs, Camden, Carroll, EnVolve, Jonathan Rose Companies, L&M Development Partners, WinnCompanies, The NHP Foundation, Turner Impact Capital, Mercy Housing, HK. - **Related Companies case study**: - Portfolio coverage grew from 1,500 → 55,000+ units. - +2,309 residents established a credit score. - $500K in microloans deployed. - +32 pts average credit score improvement. - 82% of residents saw a credit score improvement. - **Loan book size**: Only $500K referenced (single partner case study). ## Competition / moat - Self-described "trusted market leader and de facto partner for rent reporting". - "Strongest brand in the sector" through media and storytelling. - Moat sources (implicit from deck): deep integrations across 5 major property-management software platforms (Entrata, MRI, RealPage, Yardi, ResMan); all three credit bureaus; 38M unit data moat; regulatory tailwinds (favorable regulatory environment referenced, slide 14 - specific legislation blurred). - No named competitors identified in deck. ## Team & funding ask / use of funds - **Founders**: Samir Goel (previously Goldman Sachs) and Abbey Wemimo (previously LinkedIn). - **Team**: "Experienced founders, real estate operators & technologists" - individual team members on slide 15 are blurred/unreadable. --- ## Recommended financial model - **Archetype + why**: B2B SaaS ARR model with a lending (origination/interest income) revenue line. Esusu's primary engine is recurring per-unit subscription revenue from landlords; the loan book is a secondary income stream. A pure SaaS ARR build with an appended loan-economics schedule is the right structure - capturing ARR growth (logo expansion + upsell from Rent Reporting to RentRisk) alongside a microloan origination/repayment waterfall. - **Forecast horizon & granularity**: 5-year model (2022–2026), monthly for years 1–2, quarterly for years 3–5. Series B investors will want to see path to scale and eventual profitability. - **Key drivers & assumptions**: - *Addressable units*: 48M US rental units; Esusu already integrated into 38M - penetration ceiling is high. - *Active paying units*: 2.5M units on platform at time of deck → penetration of integrated universe ~6.6%. - *Net new units per year*:. - *ARPU (Rent Reporting)*:. - *ARPU (RentRisk Analytics)*:. - *Upsell / attach rate (RentRisk)*:. - *Loan origination volume*:. - *Loan yield / fee*:. - *Gross margin*:. - *Sales motion*: B2B land-and-expand (expand units within existing landlord portfolios - proven by Related case study 1,500 → 55,000 units). - *Churn*:. - *Headcount growth*:. - **Scenarios (Base / Bull / Bear)**: - *Base*: Paying units grow ~60% YoY declining to 25%; ARPU at $1.50/unit/month; RentRisk attach 25%. - *Bull*: Regulatory mandates for rent reporting accelerate adoption (referenced as tailwind, slide 14); ARPU expands to $2.50; attach rate 40%; loan volume 2x base. - *Bear*: Sales cycle elongation with large institutional landlords; unit growth 20–30% YoY; no ARPU expansion; lending pull-back. - *Flex variables*: paying-unit growth rate, ARPU, RentRisk attach rate, loan origination volume. - **Required sheets / outputs**: 1. Assumptions dashboard (all drivers in one place, color-coded inputs). 2. Unit build - active paying units by cohort (land + expand model). 3. Revenue schedule - Rent Reporting SaaS + RentRisk SaaS + Loan origination income. 4. P&L (Income Statement) - revenue, COGS (bureau fees, data costs, loan cost of capital), gross profit, OpEx (S&M, R&D, G&A), EBITDA. 5. Loan book schedule - originations, repayments, outstanding balance, fee income, loss reserve. 6. Cash flow summary. 7. KPI summary - ARR, paying units, ARPU, gross margin %, LTV/CAC (once data available). 8. Scenario toggle (Base / Bull / Bear). ## Frequently asked questions ### Is the Esusu financial model free? Yes. The Esusu 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.