AI-Powered Self-Storage Underwriting
Analyze unit type mix, occupancy trends, and rate optimization across climate-controlled and standard units. Parse self-storage OMs and financials with AI precision.
The Challenge of Self-Storage Underwriting
These are the problems acquisitions teams face every day when underwriting self-storage deals manually.
Complex Unit Type Mix
Self-storage facilities have dozens of unit sizes across climate-controlled, drive-up, and standard categories. Manually categorizing and pricing each tier is tedious.
Occupancy & Rate Analysis
Understanding physical vs. economic occupancy, seasonal trends, and street rate vs. in-place rate by unit type requires deep analysis that slows deal velocity.
Market Saturation Assessment
Evaluating supply pipeline, competitor pricing, and trade area demographics is critical for self-storage but difficult to quantify quickly.
Conversion & Expansion Feasibility
Modeling conversions from retail or industrial to self-storage, or evaluating expansion potential, adds layers of complexity to an already data-heavy underwrite.
How RealQuant Solves Self-Storage Underwriting
Purpose-built AI that understands self-storage deal documents and maps to your proprietary model.
Automated Unit Mix Extraction
Every unit type, size, and rate parsed instantly.
RealQuant reads self-storage OMs and rent rolls to extract unit counts, sizes (SF), climate-controlled vs. standard classification, current rates, street rates, and occupancy by unit type. Every value is cited to the source document.
Occupancy & Revenue Analysis
Physical and economic occupancy at a glance.
AI calculates physical occupancy, economic occupancy, revenue per available square foot (RevPASF), and identifies rate upside by unit type. See exactly where the facility is leaving money on the table.
Rate Optimization Modeling
Identify rate increase opportunities by tier.
RealQuant compares in-place rates against street rates and competitor pricing to flag units with rate upside. Model ECRI (Existing Customer Rate Increase) scenarios and see the NOI impact immediately.
Direct-to-Model Population
Your self-storage model, populated accurately.
All extracted data flows into your proprietary Excel self-storage model. Unit mix tables, revenue assumptions, and operating expenses land in the right cells with full source citations.
Your Self-Storage Underwriting Workflow
From document upload to IC-ready model in four steps.
Upload Self-Storage OM & Financials
Drop in the offering memorandum, unit mix schedule, and trailing financials. RealQuant identifies document types and begins extraction.
Review Unit Mix & Occupancy Data
See a complete breakdown of unit types, sizes, rates, and occupancy. Click any value to verify it against the source document.
Populate Your Underwriting Model
Extracted data flows into your mapped Excel template. Unit mix, rate schedules, operating expenses, and revenue assumptions are auto-populated.
Model Rate Increases & Expansion
Layer in ECRI scenarios, expansion unit assumptions, and stabilized occupancy targets. Your complete self-storage underwrite is ready for IC.
Self-Storage Underwriting FAQ
Common questions about using RealQuant for self-storage deals.
Yes. RealQuant's AI understands self-storage unit classifications including climate-controlled, drive-up, interior, and standard units. It extracts and categorizes each unit type separately so you can analyze rates, occupancy, and revenue by category.
RealQuant extracts in-place rates and street rates by unit type, calculates the delta between them, and identifies ECRI opportunities. You can model rate increase scenarios directly in your Excel template after population.
Absolutely. RealQuant parses trailing-12 operating statements, extracting revenue line items (rental income, fees, ancillary revenue) and expenses (payroll, utilities, insurance, property taxes, management fees) with full source citations.
Yes. RealQuant handles multi-property analyses. Upload OMs and financials for each facility in a portfolio and extract data across all properties. Your portfolio underwriting model is populated facility by facility.
Ready to Underwrite Self-Storage Deals Faster?
Join acquisitions teams already using RealQuant to parse documents and populate underwriting models in minutes, not hours.