debt_leverage_profile
1.02x Total Debt / Equity (Elevated leverage)
High
SEC-XBRL
interest_rate_sensitivity
A 200bps rate rise increases annual interest expense ~$40-60M given ~$3B total debt; floating-rate exposure on ~30% of debt creates meaningful EPS drag of ~$0.15-0.20/share.
Inferred
Agent_Inference
geopolitical_supply_exposure
High intensity; European gas dependency on Russia exposed structural energy security vulnerabilities.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Canadian natural gas pipeline infrastructure (Midwest supply corridors) and Gulf Coast LNG/petrochemical input nodes are top two chokepoints for utility and construction segments.
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
MDU operates almost entirely in the U.S. (upper Midwest, Mountain West, Pacific Northwest); sovereign currency devaluation risk is effectively zero with negligible international revenue.
Inferred
Agent_Inference
commodity_exposure_profile
High intensity; commodities: Natural Gas, Coal, Uranium, Crude Oil, Copper (grid), Lithium (storage); geopolitical: European gas dependency on Russia exposed structural energy security vulnerabilities.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
No single vendor exceeds 30% of operational input; construction materials (aggregates, asphalt) sourced from diversified regional suppliers; utility fuel supply spread across multiple counterparties.
Inferred
Agent_Inference
business_model_type_primary
Cloud infrastructure termination poses minimal operational risk; MDU's core utility and construction operations run on on-premise SCADA, ERP (SAP), and regulated infrastructure—not cloud-dependent.
Inferred
Agent_Inference
business_model_type_secondary
Construction services segment uses project-management SaaS (Viewpoint/Vista) but data portability and multi-vendor alternatives make 30-day termination manageable with moderate disruption.
Inferred
Agent_Inference
switching_cost_profile
API coupling risk is low; MDU's operational technology (OT) systems are proprietary or vendor-agnostic; no meaningful third-party API dependencies in revenue-critical workflows.
Inferred
Agent_Inference
howey_test_risk_index
Revenue model (regulated utility tariffs + construction contracts) fails Howey Test; no investment-of-money-in-common-enterprise-with-profit-from-others element—securities reclassification risk is negligible.
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
GDPR exposure is near-zero (domestic operations only); CCPA exposure is moderate for customer billing data in California-adjacent markets but not a material compliance liability given utility-sector frameworks.
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate antitrust exposure in construction materials (aggregates) given regional market concentration post-Knife River spinoff; utility segments face standard regulatory oversight rather than antitrust scrutiny.
Inferred
Agent_Inference
regulatory_exposure_profile
Very High burden; regimes: FERC, NERC, EPA, NRC, State PUCs, DOE; Rate-case lag and clean-energy mandates compress returns on regulated asset base.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
Utility segment (~45% of revenue) is ~90% recurring via regulated tariffs; construction services (~55%) is ~95% transactional project-based; blended recurring mix is roughly 40-45% of total revenue.
Inferred
Agent_Inference
monetization_vector
Dual vector: regulated cost-of-service rate recovery (utility) and fixed-price/unit-price construction contracts; neither subscription nor platform-based monetization.
Inferred
Agent_Inference
pricing_architecture
Utility pricing set by state regulators via rate cases (cost-plus model); construction pricing is competitive-bid with materials pass-through; limited unilateral pricing power in both segments.
Inferred
Agent_Inference
pricing_power_rating
3/10 in construction (commoditized, bid-based); 6/10 in utilities (rate-case-protected cost recovery with ROE of 9-10%); blended rating approximately 4.5/10.
Inferred
Agent_Inference
target_gross_margin_bracket
Utility segment gross margin ~55-60%; construction services ~12-16%; blended consolidated gross margin approximately 20-25%.
Inferred
Agent_Inference
churn_vulnerability_index
Free-rider risk is negligible; utility customers are captive ratepayers; construction clients are project-based with no subscription structure to exploit.
Inferred
Agent_Inference
headcount_cost_structure
Construction revenue growth is largely headcount-linear (labor-intensive); utility segment is sublinear (capital-intensive, fixed workforce scales slowly); overall growth is roughly 1:0.7 revenue-to-headcount ratio.
Inferred
Agent_Inference
marginal_cost_of_growth
Utility marginal growth cost is high-capex/low-incremental-labor (~$1.2-1.5 of capex per $1 of new rate base revenue); construction marginal cost is primarily variable labor and equipment—moderate operating leverage.
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, utility CAC remains near-zero (captive service territory); construction CAC scales with bid costs and bonding capacity—unit economics compress modestly but remain viable given regional brand moats.
Inferred
Agent_Inference
network_effect_present
No meaningful network effects in either segment; utility monopoly is regulatory rather than network-derived; construction has no cross-customer value creation.
Inferred
Agent_Inference
asset_efficiency_ratio
2.8% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 2 (moderate resilience); regulated utility revenue is highly recession-resistant; construction services (especially infrastructure/government-funded) is semi-cyclical with ~15-25% revenue decline risk in deep recession.
Inferred
Agent_Inference
customer_segment_primary
Regulated utility end-customers: residential and commercial ratepayers across ~8 states; no single customer exceeds 5% of utility revenue—concentration risk is low.
Inferred
Agent_Inference
customer_segment_secondary
Construction services customers: federal/state DOT agencies, municipal utilities, and private developers; top 10 clients may represent ~30-35% of construction backlog—moderate 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", "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"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.34 (HIL — ~34% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
Capital is being reallocated toward utility infrastructure modernization (grid hardening, pipeline integrity) rather than legacy maintenance; construction capex is sustaining (fleet/equipment); no meaningful legacy-to-future-state transformation visible.
Inferred
Agent_Inference
sec_cik
0000067716
High
SEC-EDGAR
ticker
MDU
High
SEC-EDGAR