debt_leverage_profile
0.00x Total Debt / Equity (Conservative)
High
SEC-XBRL
interest_rate_sensitivity
Low sensitivity; Geospace carries minimal long-term debt (~$0 net debt, cash-rich balance sheet), so a 200bps rate move has negligible P&L impact but affects customer capex decisions in oil & gas
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
Specialty piezoelectric ceramics sourced from limited Asian suppliers; rare-earth magnet components concentrated in China create dual chokepoints
Inferred
Agent_Inference
international_expansion_readiness
Significant exposure: Russia/FSU operations historically ~15-20% of revenue (now curtailed), Latin America and Middle East FX volatility adds ~5-10% revenue translation risk annually
Inferred
Agent_Inference
geographic_footprint
Top-3 markets: Middle East (USD-pegged, low devaluation risk), Latin America (MXN/BRL moderate risk ~8-12% annual volatility), Eastern Europe/FSU (high risk, sanctions compounding currency risk)
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
No single vendor exceeds 30% of input costs, but specialized piezoelectric and MEMS component suppliers are few; substitution lead time 6-12 months creates meaningful operational risk
Inferred
Agent_Inference
business_model_type_primary
Minimal cloud infrastructure dependency; primarily hardware/instrument manufacturer with on-premise software; AWS/GCP termination would cause <5% operational disruption
Inferred
Agent_Inference
business_model_type_secondary
Some cloud-based data services for wireless seismic systems (OBX rental fleet analytics); termination would require 60-90 day migration, not existential
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; proprietary hardware-software ecosystem creates switching costs via data format lock-in and field crew retraining, not API dependency
Inferred
Agent_Inference
howey_test_risk_index
Fails Howey Test; revenue derives from tangible product sales and equipment rentals, not investment contracts; securities reclassification risk is effectively zero
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Limited GDPR/CCPA exposure; primary data is geophysical/seismic (not personal data); minimal consumer PII collected; compliance cost estimated below $500K annually
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; niche seismic instrumentation market with multiple competitors (Sercel, ION); no dominant market position exceeding 30% globally
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
Approximately 20-30% recurring (equipment rental/lease, service contracts); 70-80% transactional (product sales); highly cyclical tied to E&P capex budgets
Inferred
Agent_Inference
monetization_vector
Hardware product sales (~60%), equipment rental/OBX fleet (~25%), software and services (~15%); rentals provide only partial revenue smoothing
Inferred
Agent_Inference
pricing_architecture
Cost-plus pricing on hardware with 35-45% gross margins when volume is adequate; rental day-rates set against competitive market; pricing power erodes sharply in E&P downturns
Inferred
Agent_Inference
pricing_power_rating
Weak-to-moderate (3/10); commodity-linked end-market, price-sensitive customers, competitors willing to discount; differentiation via technology but not sufficient for premium pricing durability
Inferred
Agent_Inference
target_gross_margin_bracket
29.7% Gross Margin (Moderate (20-40%))
High
SEC-XBRL
churn_vulnerability_index
No meaningful free-rider problem; proprietary hardware requires purchase/rental; however, customer churn is high cyclically as E&P companies halt surveys during oil price downturns
Inferred
Agent_Inference
headcount_cost_structure
Moderately headcount-linear; manufacturing scale requires production workers proportional to output, but R&D and SG&A are relatively fixed; doubling revenue requires ~60-70% headcount increase
Inferred
Agent_Inference
marginal_cost_of_growth
Sublinear at scale due to fixed manufacturing overhead absorption; incremental gross margin improves from ~35% to potentially ~50%+ at 2x volume, but capex for OBX fleet is growth-limiting
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Geospace does not operate a franchise model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC would be unsustainable without oil & gas industry structural growth; current TAM (~$1-2B seismic equipment) limits addressable scalability; adjacent markets (border security, industrial) underpenetrated
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; instrumentation/hardware business; data interoperability standards (SEG-Y) are industry-wide, not proprietary; growth is linear with industry activity
Inferred
Agent_Inference
asset_efficiency_ratio
-6.1% Return on Assets (Negative equity)
High
SEC-XBRL
recession_resistance_tier
Tier 4 (highly cyclical); revenue dropped >60% during 2015-2016 oil downturn; directly correlated with E&P capex, which is first cut in recessions or low oil price environments
Inferred
Agent_Inference
customer_segment_primary
Large seismic survey contractors (CGG, TGS, Shearwater) and major E&P companies; top 5 customers likely represent 40-55% of revenue, creating significant concentration risk
Inferred
Agent_Inference
customer_segment_secondary
Government/defense (border security sensors ~10-15% of revenue) and industrial monitoring; less cyclical but smaller and slower-growth than core O&G segment
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
7.2% CapEx / Revenue (Moderate-CapEx)
High
SEC-XBRL
sec_cik
0001001115
High
SEC-EDGAR
ticker
GEOS
High
SEC-EDGAR