Energy Services of America CORP
f78c7ffb5444485daeb352b8e12a86ba
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-24T12:36:54.705941+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
bundle_discount_depth
null
Inferred
Pending — BM Dev Shop classification run
cross_sell_attach_rate
null
Inferred
Pending — BM Dev Shop classification run
bundle_churn_vs_single_churn
null
Inferred
Pending — BM Dev Shop classification run
bundle_margin_blended
null
Inferred
Pending — BM Dev Shop classification run
upsell_pathway_architecture
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

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

SG-036 Product to Capability WHAT High
Direct: revenue_model_type=~60-70% project backlog under multi-year MSAs provides semi-recurring visibility; ~30-40% purely transactional spot contracts bid quarterly. Corroborated: business_model_type_primary=Cloud infrastructure irrelevant; ESA operates field construction crews with minimal SaaS dependency—30-day cloud termination causes minor back-office disruption only
SG-010
Digitization
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Product to Capability (SG-036) WHAT provides the core structure, combined with Digitization (SG-010) + Subscription (SG-049) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 3 Medium: 17 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
1.41x Total Debt / Equity (Elevated leverage)
High
SEC-XBRL
interest_rate_sensitivity
Moderate-high; ~$150M debt at variable rates means 200bps rise adds ~$3M annual interest expense, compressing thin ~3% net margins meaningfully
Inferred
Agent_Inference
geopolitical_supply_exposure
Medium intensity; US-China trade tariffs on metals and components disrupt supply chains.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Gulf Coast pipeline steel from Asian mills (tariff/trade war risk) and specialized directional drilling equipment from limited North American fabricators
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
Virtually 100% U.S. domestic revenue (Appalachia, Mid-Continent, Gulf Coast); sovereign currency devaluation risk is effectively zero
Inferred
Agent_Inference
commodity_exposure_profile
Medium intensity; commodities: Steel, Aluminum, Copper, Crude Oil (fuel), Rare Earth Elements, Plastics/Resins; geopolitical: US-China trade tariffs on metals and components disrupt supply chains.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
Specialized heavy equipment (Vermeer, Caterpillar) and pipe suppliers create moderate dependency; no single vendor exceeds 30% but switching takes 6-12 months
Inferred
Agent_Inference
business_model_type_primary
Cloud infrastructure irrelevant; ESA operates field construction crews with minimal SaaS dependency—30-day cloud termination causes minor back-office disruption only
Inferred
Agent_Inference
business_model_type_secondary
Project-based field services; any cloud disruption affects billing/dispatch systems, not core revenue-generating pipeline/gas construction operations
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; ESA uses standard ERP and project management tools with no proprietary platform dependencies creating lock-in
Inferred
Agent_Inference
howey_test_risk_index
Very low; revenue derives from construction labor and equipment services contracts—no investment contract, profit-sharing, or passive return structure present
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal; U.S.-only operations, no consumer data collected, GDPR non-applicable, CCPA exposure limited to employee HR data only
Inferred
Agent_Inference
antitrust_exposure_flag
Low; fragmented midstream construction market with dozens of competitors; ESA holds sub-5% national market share with no dominant regional pricing power
Inferred
Agent_Inference
regulatory_exposure_profile
Medium burden; regimes: FAA, DOT, OSHA, EPA, ITAR, FTC; Export controls and defense procurement rules create contract concentration risk.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
~60-70% project backlog under multi-year MSAs provides semi-recurring visibility; ~30-40% purely transactional spot contracts bid quarterly
Inferred
Agent_Inference
monetization_vector
Time-and-materials and lump-sum fixed-price construction contracts; revenue recognized on percentage-of-completion basis per project milestone
Inferred
Agent_Inference
pricing_architecture
Vulnerable to steel/fuel cost spikes on fixed-price contracts; T&M contracts pass through material costs, limiting downside but capping upside margin
Inferred
Agent_Inference
pricing_power_rating
Weak to moderate (4/10); commodity-like bidding environment, customer price sensitivity high, differentiation via safety record and bonding capacity only
Inferred
Agent_Inference
target_gross_margin_bracket
9.4% Gross Margin (Thin (<20%))
High
SEC-XBRL
churn_vulnerability_index
No free-rider problem; services require physical crew deployment. Customer churn risk moderate—top 3 customers represent ~50% revenue, rebid annually
Inferred
Agent_Inference
headcount_cost_structure
Highly headcount-linear; doubling revenue requires proportional craft labor (welders, operators, laborers)—no scalability leverage, SG&A is only sublinear element
Inferred
Agent_Inference
marginal_cost_of_growth
Near 100% variable cost structure; each incremental project requires direct labor hire, equipment mobilization, and materials—marginal cost of growth is very high
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, bonding capacity and craft labor availability become binding constraints; current ~$800M revenue already stresses regional labor pools
Inferred
Agent_Inference
network_effect_present
No network effects present; construction services value does not increase with additional customers or scale of user base
Inferred
Agent_Inference
asset_efficiency_ratio
0.4% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Moderate vulnerability; natural gas infrastructure spending is somewhat resilient but tied to E&P capex cycles—revenue fell ~30% in 2015-2016 downturn
Inferred
Agent_Inference
customer_segment_primary
Major midstream pipeline operators and utilities (e.g., Equitrans, EQT, Dominion Energy)—top customer likely 20-25% of revenue
Inferred
Agent_Inference
customer_segment_secondary
Industrial plant maintenance and electrical construction for manufacturing facilities and power generation clients—approximately 15-20% of revenue mix
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", "33-0000 Protective Service Occupations", "37-0000 Building and Grounds Cleaning and Maintenance 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", "51-0000 Production Occupations", "53-0000 Transportation and Material Moving Occupations"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.3 (HIL — ~30% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
1.5% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001357971
High
SEC-EDGAR
ticker
ESOA
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_03PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01FAIL2026-07-241 authored question(s) unanswerable — e.g. QBANK_MACRO_003 n
SKILL_OPS_PARTNER_01FAIL2026-07-241 authored question(s) unanswerable — e.g. QBANK_OPS_002 nee

Live Status

No Live Status block found.