Sun Hydraulics Corporation
69f8a115-e2e5-44e2-84c1-1f59164b7b1e
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-24T15:11:36.537876+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

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=Predominantly transactional (~85-90%); recurring revenue via Faster platform subscriptions and service contracts ~10-15%; no dominant subscription model; pricing_architecture=Value-based pricing on engineered solutions; commodity steel cost pass-through partially embedded; pricing holds in mild recession but volumes drop 15-25% in industrial downturns. Corroborated: business_model_type_primary=Industrial hardware manufacturer; minimal cloud infrastructure dependency; cloud termination would disrupt ERP/CRM but not core manufacturing operations
SG-049
Subscription
VALUE High
SG-035
Premium
WHO High
SG-026
Make-to-Order
HOW High
SG-027
Mass Customization
WHAT High
SG-018
From Industry to Solution
WHAT High
SG-048
Solution Provider
WHAT High

Hybrid Combination

Product to Capability (SG-036) WHAT provides the core structure, combined with Subscription (SG-049) + Premium (SG-035) + Make-to-Order (SG-026) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 13 Medium: 12 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Low leverage; net debt/EBITDA below 1.5x post-Helios acquisition; 20% rate rise adds ~$3-5M annual interest cost, manageable given ~$80M EBITDA
Inferred
Agent_Inference
interest_rate_sensitivity
Modest sensitivity; floating-rate term loan exposure ~$150-200M; 20% rate increase on ~5% base adds ~30-40bps to WACC, compressing DCF valuation ~8-12%
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
1) Taiwan/China: hydraulic component castings and precision machining; 2) European steel corridor (Germany/Eastern Europe) for specialty steel inputs
Inferred
Agent_Inference
international_expansion_readiness
EUR (~30% intl revenue), GBP (~10%), INR (~5%); EUR/USD and GBP/USD devaluation risk most material; ~15-20% of total revenue exposed to meaningful FX translation risk
Inferred
Agent_Inference
geographic_footprint
Manufacturing in USA, UK, Germany, India, Korea; EUR and GBP devaluation each ~5% move impacts operating income by ~$2-4M; INR devaluation partially offsets as cost base
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
No single vendor exceeds 30% of input costs; steel and castings sourced from multiple regional suppliers; low vendor lock-in score (~2/10)
Inferred
Agent_Inference
business_model_type_primary
Industrial hardware manufacturer; minimal cloud infrastructure dependency; cloud termination would disrupt ERP/CRM but not core manufacturing operations
Inferred
Agent_Inference
business_model_type_secondary
Secondary digital/software (Faster platform analytics); cloud disruption would impair Faster SaaS offerings for ~30 days but physical product sales unaffected
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; Faster platform uses proprietary connectivity but customers can revert to manual hydraulic configurations; moderate switching cost (~5/10)
Inferred
Agent_Inference
howey_test_risk_index
Negligible Howey Test risk; revenue from sale of physical hydraulic components and engineering solutions; no investment-contract characteristics; risk index ~0.5/10
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR exposure via EU operations (Germany, UK); CCPA exposure limited as B2B industrial focus; estimated compliance cost <$2M annually; no major breach history
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; ~3-5% global hydraulic controls market share; operates in fragmented market with Bosch Rexroth, Parker Hannifin, Eaton as larger rivals
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
Predominantly transactional (~85-90%); recurring revenue via Faster platform subscriptions and service contracts ~10-15%; no dominant subscription model
Inferred
Agent_Inference
monetization_vector
Primary: engineered hydraulic component sales (transactional); Secondary: IoT/software platform subscriptions (Faster) and aftermarket/distribution channel margins
Inferred
Agent_Inference
pricing_architecture
Value-based pricing on engineered solutions; commodity steel cost pass-through partially embedded; pricing holds in mild recession but volumes drop 15-25% in industrial downturns
Inferred
Agent_Inference
pricing_power_rating
Moderate-high (7/10); custom-engineered solutions command premium; OEM design-in creates 3-7 year pricing stability; limited ability to reprice legacy contracts rapidly
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margins typically 50-55%; well above industrial hardware peers due to engineered value-add; Faster software segment accretive at ~70%+ gross margin
Inferred
Agent_Inference
churn_vulnerability_index
Minimal free-rider risk; physical components require purchase; Faster platform has low but real churn risk (~10-15% annually) given nascent SaaS adoption
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; engineering and manufacturing scale with volume but sales/admin leverage improves; doubling revenue requires ~60-70% headcount increase
Inferred
Agent_Inference
marginal_cost_of_growth
Moderately capital-efficient; incremental revenue primarily requires raw material and manufacturing capacity investment, not proportional headcount; EBITDA margins expand at scale
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Sun Hydraulics operates direct manufacturing and distributor model, not a franchise network
Inferred
Agent_Inference
customer_acquisition_metric
B2B OEM design-in cycle 18-36 months; CAC high but LTV very long (5-10 year platform contracts); at 10x scale, distributor leverage improves CAC efficiency significantly
Inferred
Agent_Inference
network_effect_present
Weak direct network effects; Faster IoT platform has nascent data network effects (more connected machines = better analytics); overall network effect score ~3/10
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low for core hydraulic engineering; moderate risk to application engineering roles (~15-20% of engineers); manufacturing automation already advanced
Inferred
Agent_Inference
recession_resistance_tier
Tier 3 (cyclical); industrial capex-linked revenues decline 20-35% in severe recessions; partially offset by aftermarket/MRO demand and diverse end-market exposure
Inferred
Agent_Inference
customer_segment_primary
Industrial OEMs (mobile equipment, construction, agriculture); no single customer exceeds ~5% of revenue; low concentration risk
Inferred
Agent_Inference
customer_segment_secondary
Industrial distributors and fluid power system integrators; top 10 distributors represent ~30-40% of revenue; moderate channel concentration risk
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
Capex ~4-6% of revenue; reallocation evident toward Faster IoT/digital infrastructure and automation; legacy hydraulic manufacturing capex declining as % of total
Inferred
Agent_Inference
sec_cik
1024795
Inferred
Agent_Inference
ticker
SNHY; trading near fair value given cyclical headwinds; commodity steel cost pressure and geopolitical supply risk partially priced in; not at deep discount as of 2023
Inferred
Agent_Inference

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_01PASS2026-07-24no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-24no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.