debt_leverage_profile
0.52x Total Debt / Equity (Moderate leverage)
High
SEC-XBRL
interest_rate_sensitivity
Moderate-high; as a capital-dependent agri-biotech firm, a 200bps rate rise likely increases debt service 15-25%, compressing margins on long-cycle R&D investments
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
Sub-Saharan African port logistics (Durban, Mombasa) and Southeast Asian agrochemical input corridors represent primary geopolitical chokepoints
Inferred
Agent_Inference
international_expansion_readiness
Significant exposure in Sub-Saharan African markets (ZAR, KES, NGN) prone to devaluation; USD-denominated contracts partially hedge but local cost bases remain vulnerable
Inferred
Agent_Inference
geographic_footprint
Primary markets in Sub-Saharan Africa face ZAR, NGN, and KES devaluation risk; currency volatility can erode 10-30% of reported revenue in USD terms annually
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
Likely dependent on 1-2 specialty soil science or microbial input suppliers; substitutability is low given proprietary biological formulations; estimated >30% input concentration risk
Inferred
Agent_Inference
business_model_type_primary
Cloud account termination would disrupt field data analytics and precision agriculture platforms; 30-day migration window is insufficient; estimated 60-90 day operational recovery minimum
Inferred
Agent_Inference
business_model_type_secondary
Secondary impact: loss of cloud services disrupts agronomic modeling pipelines and farmer-facing mobile interfaces, delaying seasonal advisory cycles by one full growing season
Inferred
Agent_Inference
switching_cost_profile
Moderate-high API coupling risk if integrated with precision agriculture platforms (John Deere Operations Center, Climate Corp); proprietary data lock-in raises switching costs significantly
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; primary revenue from agri-technology services and product sales, not investment contracts; no expectation-of-profit from third-party efforts in core model
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR/CCPA exposure; farmer biometric and geolocation data collected across jurisdictions; African data protection laws (POPIA) add additional compliance layer
Inferred
Agent_Inference
antitrust_exposure_flag
Low current antitrust exposure; niche agri-biotech market position; risk escalates if seed-treatment or soil biologicals market share exceeds 20-25% in specific African corridors
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
Estimated 30-40% recurring (multi-season agronomy service contracts, licensing) versus 60-70% transactional (seasonal product sales); recurring base is underdeveloped
Inferred
Agent_Inference
monetization_vector
Primary monetization via biological crop input product sales; secondary via agronomic advisory service fees; digital platform licensing emerging but sub-10% of revenue
Inferred
Agent_Inference
pricing_architecture
Cost-plus pricing dominant; limited value-based pricing sophistication; stress scenario of 20% input cost inflation compresses gross margin by ~8-12 percentage points
Inferred
Agent_Inference
pricing_power_rating
Low-to-moderate; smallholder farmer customers are price-sensitive; switching to conventional agrochemicals is credible threat; premium pricing requires demonstrated yield ROI evidence
Inferred
Agent_Inference
target_gross_margin_bracket
Estimated 35-50% gross margin bracket typical for agri-biotech inputs; below SaaS benchmarks but above commodity agriculture; scale-dependent manufacturing costs are key lever
Inferred
Agent_Inference
churn_vulnerability_index
Moderate free-rider risk; agronomic knowledge and best-practice guides disseminate through farmer networks without monetization; digital platform content particularly susceptible
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is moderately headcount-linear; field agronomist deployment scales with farmer enrollment; digital tools could shift toward sublinear but infrastructure is immature
Inferred
Agent_Inference
marginal_cost_of_growth
Doubling revenue likely requires ~70-80% headcount increase given field-service intensity; marginal cost of growth is high until digital advisory scales sufficiently
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Onterris operates direct distribution and partner channels, not a franchise model; however, distributor compliance drift in remote African markets is a proxy risk
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC likely rises as accessible early-adopter farmers are saturated; estimated CAC increase of 2-3x without digital acquisition channel investment
Inferred
Agent_Inference
network_effect_present
Weak direct network effects; agronomic data aggregation creates indirect data network effect improving model accuracy at scale, but farmer-to-farmer adoption loops are underdeveloped
Inferred
Agent_Inference
asset_efficiency_ratio
1.1% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Moderate recession resistance; food production is non-discretionary but smallholder capital expenditure on biologicals is highly elastic to commodity price downturns
Inferred
Agent_Inference
customer_segment_primary
Smallholder and commercial farmers in Sub-Saharan Africa; concentration risk moderate if top 3 anchor commercial farm clients represent >25% of revenue
Inferred
Agent_Inference
customer_segment_secondary
Agricultural development NGOs, DFIs, and government extension programs as secondary segment; concentration risk high if single donor-funded program represents >15% of revenue
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
2.0% CapEx / Revenue (Low-CapEx Asset-Light)
High
SEC-XBRL
sec_cik
0001643615
High
SEC-EDGAR
ticker
ONT
High
SEC-EDGAR