TETRA TECHNOLOGIES INC
26cd3829fa564dd5be9aba3fccafec5a
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-20T21:23:12.225518+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
consumption_unit_definition
null
Inferred
Pending — BM Dev Shop classification run
usage_billing_granularity
null
Inferred
Pending — BM Dev Shop classification run
overage_penalty_structure
null
Inferred
Pending — BM Dev Shop classification run
minimum_commitment_floor
null
Inferred
Pending — BM Dev Shop classification run
metered_margin_profile
null
Inferred
Pending — BM Dev Shop classification run
bundle_discount_depth
null
Inferred
Pending — BM Dev Shop classification run
cross_sell_attach_rate
null
Inferred
Pending — BM Dev Shop classification run
bundle_churn_vs_single_churn
null
Inferred
Pending — BM Dev Shop classification run
bundle_margin_blended
null
Inferred
Pending — BM Dev Shop classification run
upsell_pathway_architecture
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=~70-80% transactional (project/well-by-well services and chemical spot sales); ~20-30% recurring via multi-year supply agreements with E&P operators. Corroborated: business_model_type_primary=Minimal cloud infrastructure dependency; field services and chemical manufacturing operations would be operationally unaffected by 30-day cloud termination
SG-026
Make-to-Order
HOW High
SG-049
Subscription
VALUE High

Hybrid Combination

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

55 Archetypes Evaluated High: 3 Medium: 18 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
0.67x Total Debt / Equity (Moderate leverage)
High
SEC-XBRL
interest_rate_sensitivity
~$3-5M annual interest expense increase per 100bps rise; ~$200M floating-rate debt exposure makes leverage ratio sensitive to rate environment
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
Gulf of Mexico logistics infrastructure (hurricane/weather disruption) and Middle East/North Africa chemical precursor sourcing for completion fluids
Inferred
Agent_Inference
international_expansion_readiness
Exposure in Latin America (MXN, BRL volatility), Middle East (largely USD-pegged), and North Sea (GBP/NOK); Latin America presents highest devaluation risk
Inferred
Agent_Inference
geographic_footprint
Primary markets: US Gulf Coast (~60%), Latin America (~15%), Middle East/North Africa (~15%); MXN and BRL devaluation pose greatest sovereign 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
Bromine and calcium chloride sourcing from limited suppliers; no single vendor >30% but specialty chemical inputs have few substitutes, creating moderate lock-in
Inferred
Agent_Inference
business_model_type_primary
Minimal cloud infrastructure dependency; field services and chemical manufacturing operations would be operationally unaffected by 30-day cloud termination
Inferred
Agent_Inference
business_model_type_secondary
ERP/back-office disruption possible but core revenue-generating operations (oilfield services, chemical production) are not cloud-dependent
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; TETRA operates physical services and chemical manufacturing with no material third-party API dependencies in core revenue operations
Inferred
Agent_Inference
howey_test_risk_index
Low Howey Test risk; revenue model is fee-for-service oilfield completions and chemical sales — clearly commodity/services, not investment contracts
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Limited GDPR/CCPA exposure; B2B industrial services company with minimal consumer PII; operational data sovereignty risk is low-to-moderate in EU operations
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; completion fluids market is competitive; TETRA holds ~30-35% US bromine-based completion fluid share but faces meaningful competition
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
~70-80% transactional (project/well-by-well services and chemical spot sales); ~20-30% recurring via multi-year supply agreements with E&P operators
Inferred
Agent_Inference
monetization_vector
Primary: fee-for-service completion fluid sales and wellbore services; Secondary: long-term supply contracts and water management services
Inferred
Agent_Inference
pricing_architecture
Cost-plus pricing on chemicals vulnerable to bromine spot price swings; services pricing tied to rig count; margins compress ~200-400bps per 10% commodity cost increase
Inferred
Agent_Inference
pricing_power_rating
Moderate (5/10); specialty fluids command premium but E&P budget cuts force concessions; limited ability to pass through cost increases in downcycles
Inferred
Agent_Inference
target_gross_margin_bracket
24.7% Gross Margin (Moderate (20-40%))
High
SEC-XBRL
churn_vulnerability_index
No free-rider problem; services are consumed per-well; churn follows E&P capex cycles — rig count decline of 20% historically correlates with ~15-20% revenue decline
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is largely headcount-linear for field services; doubling revenue requires proportional field technicians; chemical segment is more sublinear due to plant leverage
Inferred
Agent_Inference
marginal_cost_of_growth
Blended marginal cost of growth is moderate; chemical manufacturing has operating leverage above ~$200M segment revenue; services segment scales linearly with activity
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; TETRA does not operate a franchise model
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC would rise materially as E&P customer universe is finite (~500 meaningful US operators); incremental customers require deeper geographic/international penetration
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; oilfield services and industrial chemicals are not network-dependent; value proposition is technical performance and logistics reliability
Inferred
Agent_Inference
asset_efficiency_ratio
3.9% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 4 (cyclical); revenue highly correlated with oil price and E&P capex; 2020 revenue declined ~35% YoY — low recession resistance
Inferred
Agent_Inference
customer_segment_primary
Large and mid-cap E&P operators (ExxonMobil, Chevron, independents); top 10 customers likely represent 40-50% of completion fluids revenue
Inferred
Agent_Inference
customer_segment_secondary
Industrial chemical buyers and water management customers; more diversified but smaller revenue contribution (~15-20% of total)
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
12.8% CapEx / Revenue (Moderate-CapEx)
High
SEC-XBRL
sec_cik
0000844965
High
SEC-EDGAR
ticker
TTI
High
SEC-EDGAR

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_03PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01PASS2026-07-20no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-20no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.