Golar LNG Ltd.
667790c3-a6ed-49a3-8434-ff0dd11b56de
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-20T23:42:05.615237+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
billing_cadence
null
Inferred
Pending — BM Dev Shop classification run
churn_rate_benchmark
null
Inferred
Pending — BM Dev Shop classification run
annual_recurring_revenue_ratio
null
Inferred
Pending — BM Dev Shop classification run
free_trial_conversion_rate
null
Inferred
Pending — BM Dev Shop classification run
subscriber_ltv_model
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-024 Lock-in WHO High
Direct: vendor_lock_dependency_score=Baker Hughes/Bechtel represent critical non-substitutable FLNG liquefaction technology and EPC contractors exceeding 30% of capex input; high lock-in risk
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Lock-in (SG-024) 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
Net debt ~$2.5B; debt/EBITDA ~4-5x; 20% rate rise adds ~$50M annual interest cost given significant floating-rate project finance exposure
Inferred
Agent_Inference
interest_rate_sensitivity
Floating-rate project finance on FLNG vessels means 20% rate increase (~100bps) raises annual interest burden by ~$40-60M, compressing equity returns materially
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
Strait of Hormuz (LNG feedgas sourcing) and Strait of Malacca (Asia-Pacific LNG delivery routes) are top two critical chokepoints
Inferred
Agent_Inference
international_expansion_readiness
Revenue in USD-denominated LNG contracts minimizes devaluation risk; Brazil (BRL), Equatorial Guinea (XAF), and Egypt (EGP) carry moderate sovereign currency exposure
Inferred
Agent_Inference
geographic_footprint
Operations span Brazil, Equatorial Guinea, Egypt, and Mauritania; USD-contracted revenues largely insulate against local currency devaluation
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
Baker Hughes/Bechtel represent critical non-substitutable FLNG liquefaction technology and EPC contractors exceeding 30% of capex input; high lock-in risk
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy maritime energy infrastructure; no meaningful cloud dependency — vessel operations run on proprietary onboard systems, not hyperscaler cloud
Inferred
Agent_Inference
business_model_type_secondary
Tolling/charter party model for FLNG and LNG carrier assets; cloud termination would affect back-office only, not core revenue operations
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; business relies on long-term charter contracts and physical asset operations, not software API integrations
Inferred
Agent_Inference
howey_test_risk_index
Low Howey Test risk; revenue model is physical asset charter/tolling — not a passive investment scheme, no token or profit-sharing security characteristics
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Low GDPR/CCPA exposure; B2B maritime energy company with no consumer data; operational data governed by vessel flag states and bilateral energy agreements
Inferred
Agent_Inference
antitrust_exposure_flag
Low-moderate; FLNG market is oligopolistic (Shell, TotalEnergies, Golar) but Golar's market share ~15-20% FLNG globally; no dominant position triggering review
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
~85% recurring via long-term FLNG tolling agreements and time charters (5-20 year terms); ~15% transactional spot charter and trading income
Inferred
Agent_Inference
monetization_vector
Primary monetization through fixed-fee FLNG tolling ($/mmBtu processed) and time-charter hire rates on LNG carrier fleet
Inferred
Agent_Inference
pricing_architecture
Tolling fees indexed to LNG price benchmarks with floor protections; time-charter rates market-linked; stress scenario: 30% LNG price drop reduces EBITDA ~$150M
Inferred
Agent_Inference
pricing_power_rating
Moderate-high; long-term contracted tolling fees with inflation escalators provide stability, but vessel charter rates are cyclically volatile
Inferred
Agent_Inference
target_gross_margin_bracket
FLNG tolling gross margins ~60-70%; LNG carrier segment ~40-50%; blended corporate gross margin ~55-65%
Inferred
Agent_Inference
churn_vulnerability_index
Negligible free-rider risk; physical LNG infrastructure requires contractual commitment — no public-good or open-access leakage possible
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is strongly sublinear to headcount; adding FLNG capacity requires capital not proportional labor — headcount ~2,500, largely fixed operational crew
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal growth cost dominated by vessel capex (~$3-4B per FLNG unit); once deployed, incremental revenue near zero marginal operating cost per additional mmBtu
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, customer base remains small (sovereign NOCs, majors); CAC is relationship/BD-driven, not scalable digitally — unit economics worsen with fewer counterparties
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; each FLNG project is standalone bilateral contract; scale provides financing and reputational advantages only
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is low; core value is physical liquefaction and transport infrastructure — AI can optimize routing/maintenance but cannot substitute vessel assets
Inferred
Agent_Inference
recession_resistance_tier
Tier 2 — moderate resilience; long-term contracts provide stability but LNG demand and spot rates decline in deep recessions; essential energy partially protects
Inferred
Agent_Inference
customer_segment_primary
National oil companies and sovereign energy entities (e.g., Petrobras, BP, Perenco) as primary FLNG offtake and charter counterparties
Inferred
Agent_Inference
customer_segment_secondary
International LNG majors and trading houses (Shell, TotalEnergies, Vitol) as secondary charter and offtake customers
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 is being reallocated toward new FLNG deployments (Golar Hilli expansion, Mark II FLNG) — legacy LNG carrier fleet being divested, signaling future-state infrastructure pivot
Inferred
Agent_Inference
sec_cik
0001207179
High
SEC-EDGAR
ticker
GLNG
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_01FAIL2026-07-201 authored question(s) unanswerable — e.g. QBANK_OPS_002 nee

Live Status

No Live Status block found.