debt_leverage_profile
Questar carried moderate leverage ~2.5x Debt/EBITDA typical of regulated utility/pipeline; 20bp rate rise adds ~$5-10M annual interest expense given ~$2.5B long-term debt.
Inferred
Agent_Inference
interest_rate_sensitivity
Regulated cost-of-service model allows partial rate recovery; floating-rate exposure modest; 20bp increase estimated 1-2% EPS dilution given mostly fixed-rate long-term debt.
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
Rocky Mountain natural gas basin concentration (single-basin dependency) and Wyoming/Utah pipeline corridor as primary geopolitical chokepoints.
Inferred
Agent_Inference
international_expansion_readiness
Questar operated almost exclusively in the U.S. intermountain west; sovereign currency devaluation risk is effectively null with no material international revenue.
Inferred
Agent_Inference
geographic_footprint
Operations concentrated in Utah, Wyoming, and Colorado; no meaningful international revenue exposure; zero sovereign currency devaluation risk.
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
Pipeline infrastructure and gas supply sourced from Rocky Mountain basin producers; no single vendor exceeds 30% but basin concentration creates effective supply lock.
Inferred
Agent_Inference
business_model_type_primary
Regulated utility and pipeline; not cloud-dependent; AWS/GCP/Azure termination would disrupt billing/IT systems but not core gas delivery operations.
Inferred
Agent_Inference
business_model_type_secondary
E&P segment (Questar E&P) is asset-heavy and field-operations driven; cloud termination causes administrative disruption only, not operational failure.
Inferred
Agent_Inference
switching_cost_profile
API coupling risk is minimal; Questar is a regulated gas utility/pipeline with legacy SCADA and operational systems, not meaningfully API-coupled to third-party platforms.
Inferred
Agent_Inference
howey_test_risk_index
Revenue model is regulated utility tariffs and gas sales; fails Howey Test — not a security, no common enterprise profit-from-others-efforts structure; risk is negligible.
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR exposure (no EU operations); CCPA exposure low given B2C residential gas customer base is Utah/Wyoming-centric and data use is narrow.
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate: regulated monopoly in gas distribution raises rate-setting scrutiny; Dominion Energy acquisition (2016) received standard FERC/state PUC review with behavioral conditions.
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
~80%+ recurring via regulated tariff/rate-case revenues and long-term pipeline contracts; transactional E&P commodity sales represent remaining ~15-20%.
Inferred
Agent_Inference
monetization_vector
Primarily regulated tariff (distribution, transmission) plus commodity gas sales from E&P; rate base monetization dominates total revenue mix.
Inferred
Agent_Inference
pricing_architecture
Cost-of-service rate cases set by Utah PSC and FERC; pricing power is regulatory-dependent; commodity price pass-through insulates margin compression on distribution segment.
Inferred
Agent_Inference
pricing_power_rating
Moderate-high for regulated segments (rate base earns authorized ROE ~9-10%); E&P segment fully exposed to natural gas spot price volatility — low independent pricing power.
Inferred
Agent_Inference
target_gross_margin_bracket
Regulated utility/pipeline gross margins typically 40-55%; E&P segment margins volatile with gas prices; blended company gross margin estimated 45-55%.
Inferred
Agent_Inference
churn_vulnerability_index
Free-rider risk negligible; regulated monopoly service territory with mandatory connection fees; residential customers cannot bypass distribution system.
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely sublinear to headcount; regulated rate base growth requires capital, not proportional labor; pipeline throughput scales without equivalent headcount increase.
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capital-intensive (pipeline/infrastructure capex) but not headcount-linear; incremental throughput revenue has high incremental margins post-capex.
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; operates under state PUC certificates of public convenience; compliance drift risk is regulatory rate-case risk, not franchise network drift.
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, regulated geography limits customer growth; CAC is effectively infrastructure buildout cost per new service connection (~$2,000-5,000/residential hookup).
Inferred
Agent_Inference
network_effect_present
No meaningful network effect; pipeline utility is a natural monopoly with captive customers, not a platform with demand-side scale economies.
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is low; core operations are physical gas distribution/transmission infrastructure; AI can optimize dispatch and maintenance but cannot displace pipe assets.
Inferred
Agent_Inference
recession_resistance_tier
Tier 1 recession resistant; natural gas heating is essential residential service; volumes relatively inelastic; regulated revenues provide earnings stability through downturns.
Inferred
Agent_Inference
customer_segment_primary
Residential natural gas utility customers in Utah (~85% of distribution volumes); no single customer represents material concentration risk.
Inferred
Agent_Inference
customer_segment_secondary
Industrial and commercial gas customers in Utah/Wyoming; large industrial customers (e.g., mining, manufacturing) represent secondary segment with some volume 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 allocated primarily to regulated pipeline integrity, distribution system expansion, and meter replacement; limited reallocation toward future-state infrastructure pre-acquisition.
Inferred
Agent_Inference
sec_cik
0000085516
Inferred
Agent_Inference
ticker
STR (acquired by Dominion Energy 2016, no longer independently traded); at acquisition Dominion paid ~$4.4B, ~$25/share, representing ~30% premium to pre-announcement price.
Inferred
Agent_Inference