debt_leverage_profile
1.76x Total Debt / Equity (Elevated leverage)
High
SEC-XBRL
interest_rate_sensitivity
A 200bps rate increase adds ~$10-14M annual interest expense given ~$500M variable-rate debt; meaningful but manageable at current EBITDA margins of ~16-18%
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
Taiwan/China for precision electronics and castings; Eastern Europe (Germany/Poland) for engineered steel components and forgings
Inferred
Agent_Inference
international_expansion_readiness
EUR (~30% international revenue), GBP (~10%), and CNY (~8%) exposure; EUR devaluation of 10% could reduce reported revenue by ~$25-30M annually
Inferred
Agent_Inference
geographic_footprint
Operations in US, Germany, UK, China, Italy, and Canada; EUR and GBP devaluation risk most material, representing combined ~40% of international sales
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; steel and forged components sourced from multiple suppliers, but specialty alloy suppliers create moderate substitution friction
Inferred
Agent_Inference
business_model_type_primary
Industrial manufacturer with direct sales force and distributor network; minimal cloud-native operations means 30-day cloud termination causes operational disruption but not existential failure
Inferred
Agent_Inference
business_model_type_secondary
ERP and engineering software dependencies (SAP/Microsoft) are more critical than cloud IaaS; a cloud exit would disrupt back-office but not core manufacturing operations
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; company is an industrial manufacturer relying on internal ERP systems, not API-driven revenue models; switching cost is operational, not technical
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test cleanly; revenue from physical product sales (hoists, rigging, lifting equipment) with no investment contract characteristics; securities classification risk is negligible
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR exposure via European operations in Germany, UK, Italy; CCPA exposure limited; B2B customer data model reduces personal data volume but operational data governance investment needed
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; Columbus McKinnon holds significant market share in North American overhead lifting and rigging markets post-Duff-Norton and Dorner acquisitions; DOJ scrutiny possible on further consolidation
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
Predominantly transactional (~75-80%); aftermarket parts and service contracts provide ~20-25% recurring-like revenue; no formal subscription model
Inferred
Agent_Inference
monetization_vector
Product sales (hoists, conveyors, actuators) ~75%; aftermarket/service ~20%; engineered solutions/project work ~5%; transactional-dominant with aftermarket as margin anchor
Inferred
Agent_Inference
pricing_architecture
Cost-plus with market-based adjustments; steel and labor input cost spikes compress margins if price increases lag 1-2 quarters; pricing power demonstrated by 2021-2023 surcharge pass-throughs
Inferred
Agent_Inference
pricing_power_rating
6/10; brand and specification-in advantages in safety-critical lifting markets support moderate pricing power, but commoditized SKUs face distributor and OEM price pressure
Inferred
Agent_Inference
target_gross_margin_bracket
30.1% Gross Margin (Moderate (20-40%))
High
SEC-XBRL
churn_vulnerability_index
Low free-rider risk; physical products require purchase; aftermarket parts have moderate churn risk if customers accept lower-cost generic replacements for non-safety-critical components
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-sublinear at corporate level but linear at manufacturing level; doubling revenue requires ~60-70% headcount growth given fixed engineering and SG&A leverage
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capital and labor intensive; incremental revenue requires factory capacity, direct labor, and raw material scaling; software-like leverage absent
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Columbus McKinnon does not operate a franchise model; distributor network has standard channel compliance risk but no franchise regulatory exposure
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, distribution channel economics favor improved margins via volume rebates; direct sales CAC would rise with talent scarcity; current CAC model not publicly disclosed but B2B industrial norms suggest 12-18 month payback
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; product utility does not increase with user base; installed-base stickiness via spare parts and training provides pseudo-retention but not compounding network dynamics
Inferred
Agent_Inference
asset_efficiency_ratio
-4.3% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Tier 3 (cyclical); revenue highly correlated with industrial capex, construction, and manufacturing output; 2009 and 2020 downturns showed 15-25% revenue declines; not recession-resistant
Inferred
Agent_Inference
customer_segment_primary
Industrial manufacturers, construction and infrastructure contractors, and automotive OEMs; no single customer exceeds ~5% of revenue based on disclosed concentration disclosures
Inferred
Agent_Inference
customer_segment_secondary
Distributors (Grainger, MSC Industrial) serve as intermediary channel representing significant revenue concentration; distributor consolidation poses moderate customer concentration risk
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
1.5% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001005229
High
SEC-EDGAR
ticker
CMCO
High
SEC-EDGAR