debt_leverage_profile
Net debt ~$200M, net leverage ~0.4x EBITDA; 20% rate rise adds ~$8-10M annual interest expense, minimal impact given low floating-rate exposure
Inferred
Agent_Inference
interest_rate_sensitivity
Mostly fixed-rate debt; 20% rate increase has limited P&L impact (~$5-10M); greater risk via customer capex deferral reducing lighting project demand
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) China semiconductor/LED component manufacturing; 2) Taiwan advanced chip fabrication for intelligent controls and IoT modules
Inferred
Agent_Inference
international_expansion_readiness
~10% international revenue; top markets Canada, UK, Mexico — CAD and GBP devaluation pose modest risk; overall FX exposure limited and partially natural-hedged
Inferred
Agent_Inference
geographic_footprint
~90% North America revenue; minimal sovereign currency devaluation risk; Canada and UK are primary international exposures with manageable FX volatility
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 cost, but LED chip suppliers (Nichia, Cree/CreeLED) represent concentrated, partially non-substitutable component sourcing
Inferred
Agent_Inference
business_model_type_primary
Primarily hardware/product manufacturer with embedded software; cloud dependency moderate — 30-day termination disruptive to Atrius IoT platform but not core lighting sales
Inferred
Agent_Inference
business_model_type_secondary
Hybrid: product sales (~85%) + software/services (~15% via Atrius); cloud exit would impair smart building SaaS but not kill revenue
Inferred
Agent_Inference
switching_cost_profile
Moderate API coupling risk; Atrius platform integrations (BACnet, DALI, cloud APIs) create stickiness but are not deeply proprietary; competitors offer comparable integrations
Inferred
Agent_Inference
howey_test_risk_index
Not applicable; revenue from tangible product sales and software subscriptions — no investment contract, token, or passive profit expectation; Howey risk near zero
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR/CCPA exposure via Atrius IoT building data; lighting occupancy/sensor data subject to privacy regulation; compliance infrastructure likely adequate but evolving
Inferred
Agent_Inference
antitrust_exposure_flag
Low-to-moderate; ~10% U.S. commercial lighting market share; Acuity is largest U.S. player but faces Signify, Hubbell competition; no current material antitrust proceedings
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% transactional (product sales); ~15% recurring (Atrius SaaS, service contracts); recurring revenue growing but still minority of total
Inferred
Agent_Inference
monetization_vector
Primary: luminaire hardware sales; Secondary: intelligent controls/Atrius SaaS subscriptions billed per connected device or building square footage
Inferred
Agent_Inference
pricing_architecture
Tiered by product line (Lithonia commodity to Holophane premium); controls/software priced separately; inflation pass-through demonstrated 2021-2023; architecture is resilient
Inferred
Agent_Inference
pricing_power_rating
Moderate-to-high; demonstrated price increases of 8-15% in 2022-2023 with margin expansion; brand portfolio and specification-selling model support above-average pricing power
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margins ~42-45%; above average for industrial/lighting hardware; software mix expansion targets 47-50% longer term
Inferred
Agent_Inference
churn_vulnerability_index
No material free-rider problem; products are purchased, not freemium; Atrius has modest churn risk if ROI of smart controls is not demonstrated to facility managers
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; manufacturing automation and product platform leverage allow ~10-15% revenue growth with mid-single-digit headcount growth
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is moderate; incremental software revenue near zero marginal cost; hardware growth requires modest supply chain and SG&A scaling
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Acuity sells through independent sales agents and distributors, not a franchise model; channel compliance risk is low
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC efficiency improves via specification pull-through; however, distributor margin pressure and competition would compress unit economics meaningfully
Inferred
Agent_Inference
network_effect_present
Weak network effects; Atrius platform gains marginal value with more connected buildings but is not a true marketplace or platform with strong cross-side network effects
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk moderate; AI-driven lighting design tools could commoditize specification work; Acuity investing in embedded AI controls to stay relevant
Inferred
Agent_Inference
recession_resistance_tier
Tier 3 (cyclical); commercial construction-linked revenue contracts ~15-25% in recessions; renovation/retrofit segment more resilient; not a defensive business
Inferred
Agent_Inference
customer_segment_primary
Commercial/industrial building owners, electrical contractors, and architects/specifiers; no single customer >3% of revenue — low concentration risk
Inferred
Agent_Inference
customer_segment_secondary
Institutional (schools, hospitals, government) and infrastructure (roadway, sports); provides some countercyclical stability via public spending
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
Capex ~2-3% of revenue; mix shifting toward software/controls R&D and manufacturing automation; legacy plant investment declining as asset-light software segment grows
Inferred
Agent_Inference
sec_cik
1144215
Inferred
Agent_Inference
ticker
AYI
Inferred
Agent_Inference