debt_leverage_profile
0.10x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
High sensitivity; ~$4.5B net debt at ~6% avg rate; each 20bps rate increase on floating portion (~40% variable) adds ~$36M annual interest expense, compressing ~8% EBITDA margin by ~50bps
Inferred
Agent_Inference
geopolitical_supply_exposure
Medium intensity; US-China trade tariffs on metals and components disrupt supply chains.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
1) Southern Yellow Pine timber from U.S. Southeast (hurricane/drought risk); 2) Canadian softwood lumber subject to ongoing U.S. anti-dumping tariffs and trade policy chokepoint
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
Effectively 100% U.S.-domestic revenue; negligible sovereign currency devaluation exposure; no material international revenue markets identified
Inferred
Agent_Inference
commodity_exposure_profile
Medium intensity; commodities: Steel, Aluminum, Copper, Crude Oil (fuel), Rare Earth Elements, Plastics/Resins; geopolitical: US-China trade tariffs on metals and components disrupt supply chains.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
No single vendor exceeds 30% of input costs; lumber sourced from diversified mill network; top supplier estimated <10% of COGS; substitutability moderate-to-high
Inferred
Agent_Inference
business_model_type_primary
Minimal cloud dependency; primarily operates physical distribution centers and manufacturing facilities; cloud disruption would affect ERP/order management but not core physical operations
Inferred
Agent_Inference
business_model_type_secondary
On-premise and hybrid IT infrastructure supports manufacturing and distribution; 30-day cloud termination would cause order processing disruption but physical inventory fulfillment could continue manually
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; primarily uses ERP systems (SAP/Oracle-type); customer-facing digital tools are supplementary; B2B ordering integration with homebuilders creates moderate switching friction
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; revenue from selling physical building products and installation services; no investment contract, profit-sharing, or passive return expectation; securities law risk negligible
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR exposure (no EU operations); CCPA exposure moderate for California contractor/customer data; primarily B2B data with limited PII; compliance cost estimated <$10M annually
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate-high; post-BMC Stock merger holds ~30% U.S. single-family new construction supply market share; DOJ scrutiny ongoing; further large acquisitions face material antitrust hurdle
Inferred
Agent_Inference
regulatory_exposure_profile
Medium burden; regimes: FAA, DOT, OSHA, EPA, ITAR, FTC; Export controls and defense procurement rules create contract concentration risk.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
~85-90% transactional (spot/project-based lumber and building products sales); ~10-15% quasi-recurring via multi-year builder supply agreements; no true subscription revenue
Inferred
Agent_Inference
monetization_vector
Product sales (lumber, windows, doors, millwork ~60%) plus value-added manufacturing/installation services (~25%) and specialty products (~15%); services segment growing as margin-accretive vector
Inferred
Agent_Inference
pricing_architecture
Pass-through commodity pricing on lumber (volatile); value-added products command 30-50% premium margins; stress scenario: 20% lumber price drop reduces revenue ~8-10% but EBITDA impact cushioned by services mix
Inferred
Agent_Inference
pricing_power_rating
Moderate; strong in value-added/manufactured components (trusses, wall panels); limited on commodity lumber where pricing is market-determined; builder consolidation among customers limits price increases
Inferred
Agent_Inference
target_gross_margin_bracket
30.4% Gross Margin (Moderate (20-40%))
High
SEC-XBRL
churn_vulnerability_index
No free-rider problem; B2B model with direct billing; customer churn risk tied to homebuilder project cycles; top 10 builders represent ~30% revenue creating concentration-driven churn vulnerability
Inferred
Agent_Inference
headcount_cost_structure
Largely headcount-linear; distribution/installation labor scales with volume; manufacturing has some operating leverage; doubling revenue requires ~70-80% headcount increase; not a scalable software model
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost; requires physical branch expansion, truck fleet, and installation crews; incremental EBITDA margin on organic growth ~15-20%; M&A-driven growth more capital-efficient but integration-heavy
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, national builder relationships become oligopolistic; CAC rises as geographic density increases overlap; estimated blended gross margin stable at ~33% but SG&A leverage modest at ~10-12% of revenue
Inferred
Agent_Inference
network_effect_present
Weak network effects; scale provides procurement cost advantage and geographic coverage valued by national builders; not a platform business; competitive moat is operational scale not network density
Inferred
Agent_Inference
asset_efficiency_ratio
4.6% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Cyclical/Tier 4 recession sensitivity; 2006-2009 housing crisis caused industry revenue decline >50%; heavily tied to single-family housing starts; repair/remodel segment (~20% mix) provides partial buffer
Inferred
Agent_Inference
customer_segment_primary
Professional homebuilders (production and custom); top 10 U.S. homebuilders (D.R. Horton, Lennar, PulteGroup, etc.) estimated ~30% of revenue; high concentration risk in single-family new construction
Inferred
Agent_Inference
customer_segment_secondary
Specialty contractors, remodelers, and professional dealers; more fragmented, lower average order size; repair-and-remodel exposure growing; provides some counter-cyclical offset to new construction volatility
Inferred
Agent_Inference
characteristic_occupations
["11-0000 Management Occupations", "13-0000 Business and Financial Operations Occupations", "15-0000 Computer and Mathematical Occupations", "17-0000 Architecture and Engineering Occupations", "23-0000 Legal Occupations", "33-0000 Protective Service Occupations", "37-0000 Building and Grounds Cleaning and Maintenance Occupations", "41-0000 Sales and Related Occupations", "43-0000 Office and Administrative Support Occupations", "47-0000 Construction and Extraction Occupations", "49-0000 Installation, Maintenance, and Repair Occupations", "51-0000 Production Occupations", "53-0000 Transportation and Material Moving Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.3 (HIL — ~30% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
2.4% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001316835
High
SEC-EDGAR
ticker
BLDR
High
SEC-EDGAR