Endpoint Financial Model

• Full-service digital title and escrow - licensed title & escrow company, not just software.
• Consumer-facing app (web, iOS, Android) surfaces the closing workflow in 8 steps: documents upload, title curative, signing appointment scheduling, etc..
• Built "from the ground up through people, process, and technology" - differentiator is combining tech-enabled UX with licensed escrow operations.
• Example closing shown: $673,250 residential purchase (Alfred & Poppy Boone, Seattle), closing Nov 30 2020.

• Fee-per-order: title insurance premiums + escrow/closing fees on residential real estate transactions.
• Revenue per sales rep: $1.0M - primary unit disclosed; implies a direct sales / business-development motion targeting real estate agents (REAs).
• Three-phased expansion: MVP (WA) → Foundation (WA + CA + AZ, Ops Hub in AZ, API productisation test) → Scale (multi-state automation).
• API monetisation flagged as potential future channel ("Test whether productizing API has market viability") but no pricing or revenue disclosed.

• Total orders closed: "First 100 Orders Closed" milestone hit Jul 2019; no cumulative order count as of deck date disclosed.
• Headcount: 80+ employees as of Sep 2020; headcount chart shows ~82 at Sep-20.
• Headcount trajectory (from chart, slide 5 image): ~16 (Sep-18) → ~18 (Dec-18) → ~23 (Mar-19) → ~35 (Jun-19) → ~50 (Sep-19) → ~53 (Dec-19) → ~62 (Mar-20) → ~75 (Jun-20) → ~82 (Sep-20).
• Product, Design & Engineering headcount: 31.
• Revenue / Sales Rep: $1.0M.
• States live: 3 (WA, CA, AZ) as of deck date.
• Funding raised to date: $30M ($7M seed Aug 2018 + $12M Series A Oct 2019 + implied bridge/other ~$11M).

• Revenue per Sales Rep: $1.0M - only unit economic figure disclosed.

Competitors benchmarked (T&E startups):

• Moat claim: highest Revenue/Sales Rep in peer set ($1.0M vs $0.5M next best); largest PD&E headcount ratio relative to total headcount among early-stage peers.
• Positioning: escrow-process depth vs. peers focused on growth/front-end only.

• Parent / backer: First American Financial (FAF) - "FAF Launches Endpoint" PR in Nov 2019; Endpoint appears to be a FAF-incubated/backed venture (DV Innovation Sprint Aug 2017, Incubation Jan 2018).
• $7M Seed (Aug 2018), $12M Series A (Oct 2019); total $30M to date.

• Archetype + why: Transaction-volume P&L (order-based T&E revenue model). Endpoint earns fee income on each closed real estate transaction (title premium + escrow fee). The core driver is order volume × average revenue per order, flowing through a largely fixed-cost operating base (headcount-heavy). A 3-statement model wrapping this is appropriate given they are a licensed operating company, not pure SaaS.

• Forecast horizon & granularity: 5-year annual (2020–2025) with monthly detail for Year 1 (2021). Monthly cadence matters for cash burn vs. order ramp.

• Key drivers & assumptions:

*Revenue:*

• Orders closed per month
• Average revenue per order (title premium + escrow fee)
• State expansion cadence
• Revenue per Sales Rep: $1.0M - use as sanity check on sales headcount model

*Cost structure:*

• Headcount (largest cost driver): 80 employees as of Sep-20;
• Headcount growth trajectory
• Title insurance loss/claim reserves
• Technology & infrastructure opex
• G&A

*Balance sheet / capital:*

• Cash burn / runway
• Statutory reserve requirements for licensed title/escrow company

• Scenarios (Base / Bull / Bear - which variables flex):
• Bear: Order ramp slower than expected (real estate market softening, slow REA adoption); state expansion delayed; headcount stays elevated → extended burn
• Base: WA/CA/AZ stabilise and grow steadily; 2 new states added 2021–22; Revenue/Sales Rep holds at $1.0M; path to profitability ~2023–24
• Bull: API channel generates incremental B2B revenue; faster state roll-out (4+ states by 2022); Revenue/Sales Rep improves to $1.5M+; first-mover advantage in digital T&E creates defensible market share

• Required sheets / outputs:

1. Assumptions dashboard (toggle Base/Bull/Bear)
2. Order volume build (by state, by month)
3. Revenue build (orders × avg rev/order + API rev if modelled)
4. Headcount plan & payroll cost
5. P&L (Income Statement): Revenue → Gross Profit (after claims/title reserves) → EBITDA → Net Income
6. Cash flow statement (operating burn + capex + working capital)
7. Balance sheet (with statutory reserves and equity raises)
8. KPI summary: orders/month, rev/rep, burn rate, runway, headcount