debt_leverage_profile
0.56x Total Debt / Equity (Moderate leverage)
High
SEC-XBRL
interest_rate_sensitivity
Each 100bps rate increase raises annual interest expense ~$15-20M given ~$1.5B total debt; regulated utility segment partially mitigates via rate-base recovery
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
Electrical transmission equipment sourced via Asia-Pacific manufacturing corridors; PVC/polyethylene resin for plastics segment tied to Gulf Coast petrochemical supply
Inferred
Agent_Inference
international_expansion_readiness
Minimal international revenue; operations are predominantly US-based, so sovereign currency devaluation risk is effectively near-zero
Inferred
Agent_Inference
geographic_footprint
Operates primarily in Minnesota, North Dakota, South Dakota; negligible international revenue exposure means currency devaluation risk is not material
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 confirmed >30% of operational inputs; transformer and pole equipment suppliers are diversified but utility-grade equipment sourcing is concentrated among few OEMs
Inferred
Agent_Inference
business_model_type_primary
Cloud infrastructure termination would have minimal operational impact; core electric utility operations run on regulated physical grid infrastructure, not cloud-dependent platforms
Inferred
Agent_Inference
business_model_type_secondary
Manufacturing segment (plastics, metal fabrication) relies on ERP and operational systems; cloud disruption manageable with on-premise fallback within 30-60 days
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; company is not a software or API-dependent business; operational systems are standard ERP (SAP/Oracle class) with moderate switching friction
Inferred
Agent_Inference
howey_test_risk_index
Primary revenue from regulated electric utility rates and manufactured goods sales; fails Howey Test — no investment contract structure, negligible securities classification risk
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR exposure given near-zero EU customer base; CCPA exposure moderate for customer billing data in regulated utility segment; compliance posture likely adequate
Inferred
Agent_Inference
antitrust_exposure_flag
Regulated monopoly status in electric utility territory insulates from traditional antitrust risk; plastics/manufacturing segment operates in competitive markets with low antitrust concern
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
~60-65% recurring via regulated utility tariffs and long-term manufacturing contracts; ~35-40% transactional via spot plastics and fabrication sales
Inferred
Agent_Inference
monetization_vector
Primarily rate-based utility billing plus B2B manufacturing product sales; secondarily wind/solar PPAs and infrastructure services
Inferred
Agent_Inference
pricing_architecture
Utility rates set by state PUC with ~12-18 month lag; plastics pricing tied to resin commodity indices; limited discretionary pricing power across both segments
Inferred
Agent_Inference
pricing_power_rating
Moderate; regulated utility segment has formula-based cost recovery but faces regulatory lag; manufacturing segment is price-taker in commodity-linked markets — rating 5/10
Inferred
Agent_Inference
target_gross_margin_bracket
Consolidated gross margin estimated 35-45%; electric utility ~45-50%, manufacturing segment ~15-25% blended
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider leakage; captive regulated utility customers cannot defect to competitors; manufacturing customers have moderate switching ability but contractual relationships reduce churn
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount in utility segment (capital-intensive, not labor-scaling); manufacturing segment is more headcount-linear with volume growth
Inferred
Agent_Inference
marginal_cost_of_growth
Utility segment marginal growth cost is capital-heavy (grid infrastructure) not labor-heavy; doubling utility revenue requires ~2x capex but <1.5x headcount
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, regulated utility model breaks down geographically; manufacturing unit economics improve modestly via resin purchasing leverage but face capacity capex constraints
Inferred
Agent_Inference
network_effect_present
No meaningful network effects present; utility is a natural monopoly by regulation, not by network dynamics; manufacturing has no network effect characteristics
Inferred
Agent_Inference
asset_efficiency_ratio
5.4% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 2 — electric utility revenue is highly recession-resistant (essential service); manufacturing/plastics segment is cyclical and contracts in recessions, moderating overall resilience
Inferred
Agent_Inference
customer_segment_primary
Residential and commercial electric utility ratepayers in upper Midwest; no single customer >5% of utility revenue — low concentration risk
Inferred
Agent_Inference
customer_segment_secondary
Industrial and agricultural end-markets for plastics and metal fabrication; moderate concentration risk with top 10 manufacturing customers potentially representing 30-40% of segment revenue
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 actively reallocating toward renewable generation (wind, solar) and grid modernization; legacy coal asset retirement ongoing — forward-state infrastructure investment dominates capex ~$300-400M annually
Inferred
Agent_Inference
sec_cik
0001466593
High
SEC-EDGAR
ticker
OTTR
High
SEC-EDGAR