Penn Virginia Corporation
c866166d-06ec-4232-a04b-fb3f6874e92b
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-20T09:46:45.962321+00:00

Business Model Classification Tokens

contract_cycle_length
null
Inferred
Pending — BM Dev Shop classification run
enterprise_sales_motion
null
Inferred
Pending — BM Dev Shop classification run
procurement_complexity
null
Inferred
Pending — BM Dev Shop classification run
vendor_lock_coefficient
null
Inferred
Pending — BM Dev Shop classification run
consumption_unit_definition
null
Inferred
Pending — BM Dev Shop classification run
usage_billing_granularity
null
Inferred
Pending — BM Dev Shop classification run
overage_penalty_structure
null
Inferred
Pending — BM Dev Shop classification run
minimum_commitment_floor
null
Inferred
Pending — BM Dev Shop classification run
metered_margin_profile
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

University of St. Gallen — 55 Business Model Navigator (Gassmann et al.)

SG-035 Premium WHO Medium
Indirect: target_gross_margin_bracket=Lease operating expense ~$12-15/BOE; at $70 WTI, gross margin ~55-60%; highly sensitive to oil price—each $10/bbl move shifts margin ~8-10 points. (High gross margin bracket (>60%) indicates premium positioni)
SG-035
Premium
WHO Medium
SG-002
Affiliation
VALUE Medium
SG-004
Auction
HOW Medium

Hybrid Combination

Premium (SG-035) WHO provides the core structure, combined with Premium (SG-035) + Affiliation (SG-002) + Auction (SG-004) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 0 Medium: 9 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Net debt ~$1.1B, Net Debt/EBITDA ~2.5x; 20% rate rise increases annual interest ~$22M given ~$550M variable-rate exposure, compressing FCF ~15%.
Inferred
Agent_Inference
interest_rate_sensitivity
Significant sensitivity; ~$550M floating-rate debt means 200bps rate increase adds ~$11M annual interest cost, reducing FCF margins by ~3-4 percentage points.
Inferred
Agent_Inference
geopolitical_supply_exposure
High intensity; OPEC+ supply decisions and Russia-Ukraine conflict drive price volatility.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Permian Basin pipeline takeaway capacity constraints and Gulf Coast LNG export terminal access are top two geopolitical chokepoints.
Inferred
Agent_Inference
international_expansion_readiness
Penn Virginia operates exclusively in the US (Eagle Ford, Permian); zero sovereign currency devaluation exposure—no international revenue markets.
Inferred
Agent_Inference
geographic_footprint
100% US domestic operations concentrated in Eagle Ford Shale (Texas) and Permian Basin; no international revenue or currency exposure.
Inferred
Agent_Inference
commodity_exposure_profile
High intensity; commodities: Crude Oil, Natural Gas, Coal, Refined Petroleum Products, Uranium, Steel (equipment); geopolitical: OPEC+ supply decisions and Russia-Ukraine conflict drive price volatility.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
Dependence on 1-2 dominant midstream operators (e.g., Crestwood, MPLX) for gathering/processing likely exceeds 30% of operational input cost in core acreage.
Inferred
Agent_Inference
business_model_type_primary
Upstream E&P; no cloud infrastructure dependency—operational software (drilling, reservoir modeling) could migrate within 60-90 days with limited revenue disruption.
Inferred
Agent_Inference
business_model_type_secondary
Asset-intensive hydrocarbon extraction; cloud termination affects back-office and analytics only, not core production operations or revenue generation.
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; industry-standard oilfield software (Halliburton Landmark, Schlumberger Petrel) is substitutable; no proprietary API lock-in.
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenue from crude oil and NGL commodity sales is clearly not a security—no pooled investor profit expectation from third-party efforts.
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; no consumer data collected, purely B2B commodity sales, employee data compliance is standard and manageable.
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; Penn Virginia holds ~1% US E&P market share with no dominant market position; price-taker in commodity markets.
Inferred
Agent_Inference
regulatory_exposure_profile
High burden; regimes: EPA, FERC, DOE, CFTC, OSHA, SEC; Accelerating emissions mandates and methane rules threaten capex economics.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
~100% transactional; revenue tied to spot and short-term crude/NGL/gas commodity prices with limited multi-year fixed-price contract coverage.
Inferred
Agent_Inference
monetization_vector
Commodity extraction and sale of crude oil (~75%), NGLs (~15%), and natural gas (~10%); pricing benchmarked to WTI and Henry Hub.
Inferred
Agent_Inference
pricing_architecture
Price-taker with no pricing power; WTI-linked crude sales leave margins exposed to commodity cycles; hedging program covers ~40-60% of near-term production.
Inferred
Agent_Inference
pricing_power_rating
Very low—1/10; pure commodity producer with zero pricing power, entirely subject to global oil market dynamics.
Inferred
Agent_Inference
target_gross_margin_bracket
Lease operating expense ~$12-15/BOE; at $70 WTI, gross margin ~55-60%; highly sensitive to oil price—each $10/bbl move shifts margin ~8-10 points.
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider leakage applicable; commodity buyers (refiners, traders) purchase at market prices with no subsidized or free-tier access mechanism.
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is capital-linear not headcount-linear; doubling production requires drilling capex, not proportional staff increases—G&A per BOE declines at scale.
Inferred
Agent_Inference
marginal_cost_of_growth
Sublinear headcount growth; incremental production requires capital (wells ~$7-9M each) but minimal additional personnel—strong operating leverage at scale.
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Penn Virginia is not a franchise operator and has no franchise network.
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC remains near-zero (commodity spot market); unit economics improve as fixed G&A and midstream fees are spread over larger BOE volumes.
Inferred
Agent_Inference
network_effect_present
No network effects present; hydrocarbon production is a commodity with no user-base compounding dynamic or platform economics.
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low for core production; AI can optimize drilling (reducing well costs 5-10%) but cannot replace reservoir assets or physical extraction.
Inferred
Agent_Inference
recession_resistance_tier
Tier 3 (cyclical); oil demand falls 1-3% in recessions, but Penn Virginia's leveraged balance sheet amplifies downside—significant FCF risk below $55 WTI.
Inferred
Agent_Inference
customer_segment_primary
Crude oil purchasers: major refiners and commodity traders (Plains All American, Vitol); typically 2-3 purchasers represent >60% of crude revenue.
Inferred
Agent_Inference
customer_segment_secondary
NGL and natural gas purchasers: midstream processors and utilities; less concentrated but still dependent on regional midstream infrastructure contracts.
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", "19-0000 Life, Physical, and Social Science 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", "53-0000 Transportation and Material Moving Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.33 (HIL — ~33% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
Capital allocated to sustaining and growth drilling (~$300-350M/yr capex); minimal legacy-to-future reallocation—conventional E&P reinvestment cycle dominates.
Inferred
Agent_Inference

Business Model Components

Core Space

> *Pending Turn 2 — Business Model Type Agent population.*

Interaction Modes

> *Pending Turn 2 — Business Model Type Agent population.*

Product Matrix

> *Pending Turn 2 — Business Model Type Agent population.*

Historical Evolution Log

Live Operational Signals

Signal DateSignal TypeSummary
Source

Evaluation Gate — Persona Stress Tests

SKILL_BUFFETT_VAL_03PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-20no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.