debt_leverage_profile
0.72x Total Debt / Equity (Moderate leverage)
High
SEC-XBRL
interest_rate_sensitivity
A 200bps rate increase adds ~$30-40M annual interest expense given ~$1.5B variable-rate debt; EBITDA coverage remains above 4x but FCF compresses ~8-10%
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
China (castings, forgings, rare-earth alloys for seals) and Ukraine/Russia corridor (specialty steel inputs) represent primary geopolitical chokepoints
Inferred
Agent_Inference
international_expansion_readiness
EUR (~25% revenue), MXN (~8%), and Saudi SAR (~7% via Middle East ops); SAR is USD-pegged; EUR and MXN devaluation pose meaningful translation risk, ~$40-60M combined annual exposure
Inferred
Agent_Inference
geographic_footprint
EUR (~25% revenue), MXN (~8%), and Middle East SAR (~7%); EUR depreciation most material, MXN volatility adds manufacturing cost pressure, SAR peg limits Gulf risk
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; specialty steel and casting suppliers are regionally concentrated but substitutable over 6-12 months; moderate dependency, not critical lock-in
Inferred
Agent_Inference
business_model_type_primary
Minimal cloud infrastructure dependency; core operations rely on ERP (SAP) and on-premise manufacturing systems; 30-day cloud termination would disrupt CRM/analytics but not production
Inferred
Agent_Inference
business_model_type_secondary
Industrial manufacturer with aftermarket services; secondary impact of cloud termination limited to order management and customer portals, recoverable within 60-90 days via backup systems
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; Flowserve uses standard ERP integrations (SAP), not deeply embedded in customer APIs; customer switching costs are HIGH due to engineered-to-spec pump/valve specifications
Inferred
Agent_Inference
howey_test_risk_index
Howey Test not applicable; Flowserve sells physical industrial equipment and services, not investment contracts or tokens; near-zero securities classification risk
Inferred
Agent_Inference
regulatory_burden_tier
Medium
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Moderate GDPR exposure via EU operations (Germany, UK, France); CCPA exposure limited as B2B industrial seller; no significant consumer data; compliance cost estimated $5-10M annually
Inferred
Agent_Inference
antitrust_exposure_flag
Low-to-moderate; competes in fragmented pump/valve market alongside Enpro, ITT, Sulzer; no dominant market share exceeding 25% in any single segment; no active antitrust investigations known
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
~40-45% recurring (long-term service agreements, MRO contracts, aftermarket parts); ~55-60% transactional (original equipment project orders); aftermarket mix is growing strategically
Inferred
Agent_Inference
monetization_vector
Dual vector: capital equipment sales (OE) plus high-margin aftermarket parts and services; aftermarket carries ~50-55% gross margin vs ~30% for OE; strategic shift toward services monetization
Inferred
Agent_Inference
pricing_architecture
Cost-plus pricing on OE with escalation clauses; aftermarket parts carry significant price premium (5-8x OE part cost); inflation pass-through has been effective in 2022-2024 contracts
Inferred
Agent_Inference
pricing_power_rating
7/10; strong aftermarket pricing power due to proprietary parts and spec-lock; OE pricing more competitive; demonstrated ability to push 5-8% price increases in 2022-2023 without major volume loss
Inferred
Agent_Inference
target_gross_margin_bracket
33.4% Gross Margin (Moderate (20-40%))
High
SEC-XBRL
churn_vulnerability_index
Minimal free-rider risk; physical industrial products cannot be 'free-ridden'; customer stickiness high due to installed base lock-in; aftermarket churn estimated below 5% annually
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; doubling revenue requires ~30-40% headcount increase due to engineering leverage and aftermarket scalability; manufacturing automation limits linear scaling
Inferred
Agent_Inference
marginal_cost_of_growth
Aftermarket segment has low marginal cost (parts replication, existing service network); OE segment requires proportional engineering and production capacity; blended marginal cost ~35-40% of incremental revenue
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Flowserve operates owned facilities and authorized distributor networks, not a franchise model; distributor compliance risk is low given contractual OEM agreements
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC rises due to longer enterprise sales cycles; current CAC estimated $50-150K per major account; LTV/CAC ratio remains favorable at ~8-12x given decades-long customer relationships
Inferred
Agent_Inference
network_effect_present
No direct network effects; installed base creates indirect lock-in (data on pump performance, proprietary spare parts); network effect durability is low but switching cost durability is high
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is low for core manufacturing; moderate risk in engineering design (generative AI could reduce custom engineering headcount 10-15%); service diagnostics AI adoption could improve margins 2-3%
Inferred
Agent_Inference
recession_resistance_tier
Tier 2 (moderate resilience); essential infrastructure/energy clients provide floor demand; MRO spending persists in downturns; large capital project OE orders defer significantly in recessions
Inferred
Agent_Inference
customer_segment_primary
Oil & gas operators (upstream/midstream/downstream) represent ~40-45% of revenue; top 10 customers estimated at 20-25% of revenue; moderate concentration risk
Inferred
Agent_Inference
customer_segment_secondary
Power generation, water/wastewater, and chemical processing each represent 10-15% of revenue; diversification reduces single-segment concentration risk meaningfully
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
null
Inferred
Agent_Inference
sec_cik
0000030625
High
SEC-EDGAR
ticker
FLS
High
SEC-EDGAR