debt_leverage_profile
Heavy project-finance debt typical of geothermal developers; estimated net debt/EBITDA >10x pre-revenue; 20% rate rise increases debt service ~$5-15M annually depending on variable-rate tranches
Inferred
Agent_Inference
interest_rate_sensitivity
High sensitivity; construction and project-finance loans are partially floating-rate; 200bps rise materially compresses project IRR on greenfield wells by ~150-250bps
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
1) Drilling equipment/casing steel concentrated in Asian/EU manufacturers; 2) High-temperature downhole tools with limited US suppliers, creating chokepoint risk
Inferred
Agent_Inference
international_expansion_readiness
Primarily USD-denominated US contracts; minimal sovereign currency devaluation exposure; international expansion nascent with no material foreign-currency revenue streams currently
Inferred
Agent_Inference
geographic_footprint
Operations concentrated in Nevada and Utah (US domestic); no material international revenue; currency devaluation exposure effectively zero at current stage
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
Halliburton and SLB (Schlumberger) provide critical directional drilling services; either could represent >30% of well-construction input costs with limited short-term substitutability
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy geothermal power producer; not cloud-dependent for core operations; cloud termination would disrupt monitoring/analytics but not power generation or revenue
Inferred
Agent_Inference
business_model_type_secondary
Long-term power purchase agreement (PPA) seller; operational continuity relies on physical plant, not digital infrastructure; 30-day cloud termination survivable with contingency systems
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; operational technology (OT) systems are proprietary or industry-standard SCADA; no material SaaS API dependency identified
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenue derives from electricity sales under PPAs, a commodity contract, not an investment contract; no token or security issuance identified
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; customer data limited to utility/corporate offtakers, not consumers; US-only operations reduce cross-border data compliance burden
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; operates in competitive renewable energy market; market share in geothermal is small; no dominant position in any relevant geographic market
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
~90%+ recurring via long-term PPAs (10-20 year contracts) with Google and others; transactional spot sales minimal; highly predictable contracted revenue base
Inferred
Agent_Inference
monetization_vector
Electricity megawatt-hour sales under fixed-price or indexed PPAs; secondary value from capacity payments and renewable energy certificates (RECs)
Inferred
Agent_Inference
pricing_architecture
PPA pricing fixed or CPI-linked; stress scenario: if power prices collapse, Fervo is partially insulated by contracts but faces merchant risk on uncontracted capacity
Inferred
Agent_Inference
pricing_power_rating
Moderate-high; 24/7 carbon-free energy commands premium over intermittent renewables; Google and hyperscaler demand supports pricing above grid average
Inferred
Agent_Inference
target_gross_margin_bracket
Estimated 50-65% gross margin at scale; geothermal has high upfront capex but near-zero fuel cost; margins compress if drilling costs overrun
Inferred
Agent_Inference
churn_vulnerability_index
Negligible free-rider risk; electricity is a metered commodity; all offtakers under binding PPA contracts; no public-good leakage dynamic
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; once plants are built, incremental output requires minimal new employees; operations and maintenance staff scale slowly
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of growth is capex-intensive (new wells ~$5-15M each) but headcount-sublinear; doubling revenue requires more capital, not proportionally more people
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC remains low (direct enterprise sales to utilities/hyperscalers); LTV/CAC ratio very high given 15-20 year PPA contract values exceeding $100M per deal
Inferred
Agent_Inference
network_effect_present
No traditional network effect; value does not increase with more users; competitive moat is drilling IP, resource access, and 24/7 CFE scarcity premium
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low; physical geothermal resource extraction not automatable; AI may optimize drilling targeting but cannot substitute core asset production
Inferred
Agent_Inference
recession_resistance_tier
High recession resistance; electricity demand is inelastic; PPAs are contracted obligations; hyperscaler offtakers (Google) have investment-grade credit and long-term ESG mandates
Inferred
Agent_Inference
customer_segment_primary
Large technology companies (hyperscalers) seeking 24/7 carbon-free energy; Google is known anchor customer representing likely >50% of current contracted capacity
Inferred
Agent_Inference
customer_segment_secondary
Regulated utilities and grid operators seeking baseload renewable capacity to meet RPS mandates and reliability requirements
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
100% growth capex; no legacy asset retirement burden; all capital directed toward new well drilling, surface infrastructure, and EGS technology development
Inferred
Agent_Inference
sec_cik
0001853868
High
SEC-EDGAR
ticker
FRVO
High
SEC-EDGAR