Analyzing Industrial Properties

Analyzing Industrial Properties

Structures industrial real estate analysis combining physical property evaluation, logistics market assessment, tenant credit analysis, and investment return modeling for warehouse, distribution, manufacturing, and flex-industrial assets.

When To Use

• Underwriting an acquisition or disposition of an industrial property
• Evaluating a warehouse or distribution center for REIT portfolio inclusion
• Assessing tenant creditworthiness and lease structure on industrial assets
• Comparing competing industrial investments across submarkets
• Reviewing logistics demand drivers for a target market or corridor

Inputs To Gather

• Property details: Address, building SF, clear height, dock doors (count and type), column spacing, truck court depth, trailer parking count, office finish ratio, year built/renovated
• Site data: Lot size, land-to-building ratio, expansion potential, rail access, proximity to interstate/port/airport (miles), zoning classification [VERIFY]
• Lease schedule: Tenant names, lease start/expiration, base rent per SF, annual escalations, renewal options, termination rights, TI allowances, free rent concessions
• Tenant credit: Credit ratings (Moody's/S&P), annual revenue, D&B scores, parent guaranty status, industry sector and concentration risk
• Financials: Trailing 12-month NOI, operating expense breakdown (CAM, insurance, taxes, management), capex reserves, historical occupancy (3–5 years)
• Market data: Submarket vacancy rate, net absorption (trailing 4 quarters), construction pipeline (SF under construction and planned), market rent per SF by product type, cap rate comps

Workflow

1. Classify the asset

   • Determine product type: bulk distribution, last-mile delivery, light manufacturing, cold storage, flex-industrial, data center shell
   • Note functional obsolescence indicators: clear height below 28', insufficient dock ratio (< 1 per 10,000 SF for bulk), narrow truck courts (< 130'), inadequate power [VERIFY against current submarket standards]

2. Evaluate physical and locational attributes

   • Score access to transportation infrastructure (interstate interchange distance, intermodal rail, port proximity)
   • Assess labor pool depth using MSA employment data and wage levels for warehouse/logistics roles
   • Identify last-mile relevance by mapping population density within 1-hour drive radius
   • Flag environmental concerns: Phase I/II ESA findings, flood zone designation, brownfield history [VERIFY]

3. Analyze the lease structure and tenant credit

   • Calculate weighted-average lease term (WALT) by rent and by SF
   • Map lease rollover schedule and quantify near-term rollover risk (leases expiring within 24 months)
   • Evaluate rent-to-market spread: in-place rent vs. submarket asking rent per SF
   • Assess tenant credit: investment-grade vs. non-rated, single-tenant concentration risk, industry cyclicality
   • Review expense structure: NNN vs. modified gross, landlord exposure to operating cost increases

4. Model investment returns

   • Build a stabilized NOI pro forma with market-supported assumptions for vacancy, credit loss, opex, and capex reserves
   • Calculate going-in cap rate and compare against trailing 4-quarter submarket comps
   • Run a discounted cash flow (DCF) over a 5–10 year hold period with explicit assumptions for rent growth, renewal probability, downtime, re-leasing costs, and exit cap rate
   • Compute levered and unlevered IRR, equity multiple, cash-on-cash yield, and net present value
   • Sensitivity-test key variables: exit cap rate (+/- 50 bps), vacancy (+/- 500 bps), rent growth (+/- 100 bps)

5. Assess logistics market fundamentals

   • Quantify net absorption trend relative to new supply pipeline
   • Identify demand drivers: e-commerce penetration, 3PL expansion, nearshoring/reshoring activity, cold chain growth
   • Evaluate supply constraints: land availability, entitlement timelines, construction costs per SF [VERIFY local jurisdiction]
   • Compare submarket metrics to broader MSA and national industrial benchmarks

6. Synthesize risk factors and investment thesis

   • Rank risks: tenant credit, lease rollover, functional obsolescence, market oversupply, environmental liability, interest rate sensitivity
   • Identify value-add opportunities: mark-to-market rent upside, expansion potential, operational improvements
   • State a clear investment recommendation with supporting rationale and key assumptions

Output

• Executive summary: One-page investment overview with property description, key metrics (NOI, cap rate, WALT, occupancy), and recommendation
• Property profile: Physical attributes, site plan summary, and locational scoring
• Tenant and lease analysis: Rent roll summary, rollover schedule, WALT, credit assessment table
• Financial pro forma: Stabilized NOI, DCF model outputs (IRR, equity multiple, cash-on-cash), sensitivity tables
• Market overview: Submarket vacancy, absorption, supply pipeline, rent trend, and demand driver commentary
• Risk matrix: Ranked risk factors with probability/impact assessment and mitigants

Quality Checks

• Confirm all rent, vacancy, and cap rate assumptions are sourced and dated — flag stale data (> 6 months) with [VERIFY]
• Validate that NOI reconciles from the rent roll through to the DCF; check that opex and capex assumptions align with historical actuals
• Ensure WALT and rollover calculations match the lease schedule exactly
• Cross-check tenant credit ratings against the most recent available reports
• Verify that submarket boundaries used in comps are consistent across all sections
• Confirm clear height, dock count, and column spacing against building plans or inspection reports — do not rely solely on marketing materials
• Flag any single-tenant or single-industry concentration exceeding 40% of gross revenue as elevated risk