American Water Works
a621c455-e6e0-48a8-8ad3-656cec8604c7
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-21T18:30:46.703351+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
consumer_acquisition_channel
null
Inferred
Pending — BM Dev Shop classification run
brand_loyalty_index
null
Inferred
Pending — BM Dev Shop classification run
impulse_vs_considered_purchase
null
Inferred
Pending — BM Dev Shop classification run
retail_distribution_reach
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
billing_cadence
null
Inferred
Pending — BM Dev Shop classification run
churn_rate_benchmark
null
Inferred
Pending — BM Dev Shop classification run
annual_recurring_revenue_ratio
null
Inferred
Pending — BM Dev Shop classification run
free_trial_conversion_rate
null
Inferred
Pending — BM Dev Shop classification run
subscriber_ltv_model
null
Inferred
Pending — BM Dev Shop classification run

Business Model Archetype Classification

University of St. Gallen — 55 Business Model Navigator (Gassmann et al.)

SG-031 Pay per Use VALUE High
Direct: monetization_vector contains [Volumetric water consumption charges plus fixed service fees; rate increases approved by state PUCs averaging 7-9% per approved rate case cycle]. Corroborated: revenue_model_type=~95% recurring via regulated tariff rates under multi-year rate agreements; <5% transactional from construction services and one-time connections
SG-053
Two-sided Market
HOW High
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Pay per Use (SG-031) VALUE provides the core structure, combined with Two-sided Market (SG-053) + Product to Capability (SG-036) + Subscription (SG-049) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 4 Medium: 26 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
0.92x Total Debt / Equity (Moderate leverage)
High
SEC-XBRL
interest_rate_sensitivity
Each 20bps rise on ~$14B debt increases annual interest expense ~$28M; regulated ROE adjustments partially offset but lag 12-18 months via rate cases
Inferred
Agent_Inference
geopolitical_supply_exposure
High intensity; European gas dependency on Russia exposed structural energy security vulnerabilities.
Medium
GICS-commodity-overlay-v1
supply_chain_dependency
Chinese-manufactured water treatment chemicals (chlorine precursors) and domestic steel pipe from concentrated US mills with limited surge capacity
Inferred
Agent_Inference
international_expansion_readiness
null
Inferred
Agent_Inference
geographic_footprint
Operates in 14 US states only; zero international revenue, sovereign currency devaluation risk is not applicable
Inferred
Agent_Inference
commodity_exposure_profile
High intensity; commodities: Natural Gas, Coal, Uranium, Crude Oil, Copper (grid), Lithium (storage); geopolitical: European gas dependency on Russia exposed structural energy security vulnerabilities.
Medium
GICS-commodity-overlay-v1
vendor_lock_dependency_score
No single vendor exceeds 30% of input costs; chemical suppliers, pipe manufacturers, and meter vendors are substitutable with 3-6 month lead times
Inferred
Agent_Inference
business_model_type_primary
Regulated water/wastewater utility; essentially zero cloud-termination operational risk; SCADA and billing systems run on-premise or private infrastructure
Inferred
Agent_Inference
business_model_type_secondary
Market-based services (military contracts, homeowner services) represent ~5% revenue; minimal cloud dependency even here
Inferred
Agent_Inference
switching_cost_profile
No significant API coupling risk; core operations use proprietary SCADA and legacy ERP systems; vendor APIs are internal billing tools, not mission-critical
Inferred
Agent_Inference
howey_test_risk_index
Revenue from regulated water rates and government contracts; no profit-from-others'-efforts structure; Howey Test inapplicable, securities risk negligible
Inferred
Agent_Inference
regulatory_burden_tier
Very High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Limited GDPR exposure (no EU operations); CCPA applies to California customer billing data (~8% of customers); compliance costs are minimal and manageable
Inferred
Agent_Inference
antitrust_exposure_flag
Moderate; state-granted monopoly franchises insulate from antitrust, but tuck-in acquisitions face DOJ/state PUC scrutiny; no current active investigations
Inferred
Agent_Inference
regulatory_exposure_profile
Very High burden; regimes: FERC, NERC, EPA, NRC, State PUCs, DOE; Rate-case lag and clean-energy mandates compress returns on regulated asset base.
Medium
GICS-regulatory-overlay-v1
revenue_model_type
~95% recurring via regulated tariff rates under multi-year rate agreements; <5% transactional from construction services and one-time connections
Inferred
Agent_Inference
monetization_vector
Volumetric water consumption charges plus fixed service fees; rate increases approved by state PUCs averaging 7-9% per approved rate case cycle
Inferred
Agent_Inference
pricing_architecture
Cost-of-service regulation sets prices; stress scenario of PUC rate freeze for 2+ years compresses ROE to ~8% vs authorized ~10%, squeezing ~$150M annual earnings
Inferred
Agent_Inference
pricing_power_rating
High within regulatory framework; PUC-approved rate cases have historically granted 90%+ of requested increases; essential service with no substitutes
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~55-60%; EBITDA margin ~40-42%; regulated utilities trade on rate base growth not margin expansion
Inferred
Agent_Inference
churn_vulnerability_index
Zero free-rider risk; metered billing with shutoff enforcement; involuntary churn (customer moves) ~5-7% annually but replaced by new connections automatically
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is sublinear to headcount; capital investment and rate base expansion drive revenue; doubling revenue requires ~20-30% headcount increase, not doubling
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal growth cost is capital-intensive (pipes, treatment plants ~$1.5-2B annual capex) but operationally sublinear; incremental customers near zero variable labor cost
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, economics improve modestly; fixed infrastructure costs spread over larger base; CAC is near-zero (geographic monopoly); regulatory complexity scales linearly
Inferred
Agent_Inference
network_effect_present
No traditional network effects; value does not increase with more users; natural monopoly infrastructure has one-way density economics, not true network effects
Inferred
Agent_Inference
asset_efficiency_ratio
4.0% Return on Assets (Excellent)
High
SEC-XBRL
recession_resistance_tier
Tier 1 recession-resistant; water is non-discretionary; revenue declined <2% during 2008-2009 recession; regulated returns insulate earnings from economic cycles
Inferred
Agent_Inference
customer_segment_primary
Residential customers (~60% of revenue); no single customer exceeds 1% of revenue; highly diversified across 14 million+ accounts
Inferred
Agent_Inference
customer_segment_secondary
Commercial and industrial customers (~25% revenue); municipal/government contracts (~15%); industrial concentration risk exists in specific service territories
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", "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"]
High
SOC-2018/GICS-overlay
agent_automatable_labor_share
0.34 (HIL — ~34% of characteristic roles agent-automatable)
Medium
SOC-2018 + agentic-exposure-v1
capital_expenditure_profile
61.0% CapEx / Revenue (High-CapEx Infrastructure)
High
SEC-XBRL
sec_cik
0001410636
High
SEC-EDGAR
ticker
AWK
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_03PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_LEGAL_SEC_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_SHORT_BEAR_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_MACRO_STRAT_01FAIL2026-07-211 authored question(s) unanswerable — e.g. QBANK_MACRO_003 n
SKILL_OPS_PARTNER_01FAIL2026-07-211 authored question(s) unanswerable — e.g. QBANK_OPS_002 nee

Live Status

No Live Status block found.