Epsilon Energy Ltd.
5a1e8861-c815-42ce-9382-2a9a0e445868
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-20T05:53:36.040918+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-001 Add-on WHO High
Direct: monetization_vector contains [Volumetric commodity sales (Mcf/barrel) under fixed-price and index-linked contracts; ancillary midstream fee income in Oklahoma segment.]
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Add-on (SG-001) WHO provides the core structure, combined with Product to Capability (SG-036) + Subscription (SG-049) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 3 Medium: 16 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Low leverage; net debt near zero with ~$30M credit facility largely undrawn; 20% rate rise adds minimal interest burden (<$1M annually).
Inferred
Agent_Inference
interest_rate_sensitivity
Minimal floating-rate exposure; fixed-cost structure and low drawn debt means 20% rate increase has negligible EPS impact (~$0.01/share).
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
Appalachian Basin midstream pipeline capacity (gathering/transport constraints) and Permian Basin water/sand logistics are primary chokepoints.
Inferred
Agent_Inference
international_expansion_readiness
Epsilon operates primarily in US (Pennsylvania) and Canada (Alberta); CAD/USD devaluation risk modest; no significant emerging-market currency exposure.
Inferred
Agent_Inference
geographic_footprint
~85% US revenue (USD), ~15% Canada (CAD); sovereign currency devaluation risk limited to CAD fluctuation; no high-risk EM 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
Midstream gathering agreements with Williams Companies represent significant throughput dependency; likely exceeds 30% of operational input cost in Appalachia.
Inferred
Agent_Inference
business_model_type_primary
Upstream E&P; not cloud-dependent for core operations; cloud termination would disrupt back-office/analytics but not production or revenue generation.
Inferred
Agent_Inference
business_model_type_secondary
Asset-heavy hydrocarbon producer; cloud infrastructure is ancillary; 30-day termination manageable via migration to alternative providers within weeks.
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; uses standard industry software (Quorum, Enverus); no proprietary platform lock-in; switching cost moderate but not prohibitive.
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; oil and gas production revenue is not a security; no common enterprise investment scheme; regulatory risk is environmental/commodity, not securities.
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; B2B commodity seller with no significant consumer data collection; compliance risk rated very low.
Inferred
Agent_Inference
antitrust_exposure_flag
Negligible antitrust risk; small-cap E&P with <1% market share in any basin; no pricing power over commodity markets; no dominant position.
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
~70% quasi-recurring via multi-year gas purchase agreements (GPAs) with Chesapeake/Southwestern; ~30% spot/transactional pricing exposure.
Inferred
Agent_Inference
monetization_vector
Volumetric commodity sales (Mcf/barrel) under fixed-price and index-linked contracts; ancillary midstream fee income in Oklahoma segment.
Inferred
Agent_Inference
pricing_architecture
Pricing tied to Henry Hub and local basis differentials; partial hedge program (~30-50% of production); stress scenario: $1/Mcf drop reduces revenue ~20-25%.
Inferred
Agent_Inference
pricing_power_rating
Low standalone pricing power; price-taker in commodity markets; partially mitigated by long-term GPAs locking in above-spot rates through 2025-2026.
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margins ~60-70% at $3+ Henry Hub; operating netbacks ~$1.50-2.50/Mcf depending on basis and hedge book; margin compresses sharply below $2.50 HH.
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; physical commodity with contractual offtake; churn risk is counterparty credit risk (Chesapeake bankruptcy history noted) not consumer churn.
Inferred
Agent_Inference
headcount_cost_structure
Highly sublinear; ~40-50 employees; doubling production requires minimal headcount addition; capital-intensive but not labor-intensive growth model.
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is primarily drilling capex (~$5-8M/well); G&A leverage is strong; incremental revenue at low marginal labor/overhead cost.
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; no franchise network.
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, pipeline capacity and basin takeaway infrastructure become binding constraints; unit economics remain favorable if midstream access secured.
Inferred
Agent_Inference
network_effect_present
No network effects; commodity producer; value driven by subsurface asset quality and operating efficiency, not user scale or platform dynamics.
Inferred
Agent_Inference
asset_efficiency_ratio
-2.4% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Moderate-low recession resistance; natural gas demand partially inelastic (heating/power), but prices highly cyclical; revenue can drop 30-50% in commodity downturns.
Inferred
Agent_Inference
customer_segment_primary
Investment-grade and large-cap E&P/utility gas purchasers (Chesapeake, Southwestern Energy) under long-term gas purchase agreements.
Inferred
Agent_Inference
customer_segment_secondary
Spot market purchasers and midstream operators in Mid-Continent (Oklahoma) segment; smaller volume, index-priced transactions.
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
Capex allocated to Appalachian (Pennsylvania) well development and Mid-Continent optimization; no significant legacy-to-future reallocation; maintenance + modest growth capex (~$20-35M/year).
Inferred
Agent_Inference
sec_cik
0001726126
High
SEC-EDGAR
ticker
EPSN
High
SEC-EDGAR

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.