Diamond Offshore Drilling Inc.
1bb58df3-f2c5-461d-a1f8-cccf3b4a0954
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-21T07:06:03.534277+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

Business Model Archetype Classification

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

SG-024 Lock-in WHO High
Direct: vendor_lock_dependency_score=NOV (National Oilwell Varco) and Schlumberger/SLB supply critical BOP and drilling equipment; NOV likely represents >30% of critical hardware input; high substitution cost
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Lock-in (SG-024) WHO provides the core structure, combined with Product to Capability (SG-036) + 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
Net debt ~$1.6B post-bankruptcy emergence 2021; debt/EBITDA ~3-4x; variable-rate exposure moderate on revolving credit facility
Inferred
Agent_Inference
interest_rate_sensitivity
20% rate rise increases annual interest expense ~$15-25M given ~$1.4B term loan; manageable but compresses already thin FCF margins
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 hurricane/logistics corridor and Norwegian Sea/North Sea chokepoints for BOP equipment and deepwater riser supply chains
Inferred
Agent_Inference
international_expansion_readiness
Significant BRL/USD exposure in Brazil (Petrobras contracts), GBP/NOK in North Sea, and EGP/USD in Egypt; most contracts USD-denominated, mitigating devaluation risk
Inferred
Agent_Inference
geographic_footprint
Operations across US Gulf of Mexico, Brazil, UK/Norway North Sea, Egypt, Australia, Senegal; ~60%+ revenue from international markets
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
NOV (National Oilwell Varco) and Schlumberger/SLB supply critical BOP and drilling equipment; NOV likely represents >30% of critical hardware input; high substitution cost
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy offshore contract drilling; not cloud-dependent; operational technology runs on proprietary and OEM rig systems, not hyperscaler cloud
Inferred
Agent_Inference
business_model_type_secondary
Day-rate contract driller; secondary revenue from integrated services and reimbursable costs billed to operators; minimal SaaS exposure
Inferred
Agent_Inference
switching_cost_profile
Minimal API coupling risk; operational systems use OEM proprietary interfaces (NOV, Siemens); operator contracts are project-based with limited digital API dependency
Inferred
Agent_Inference
howey_test_risk_index
Low Howey risk; revenue model is direct service contracts (day-rate drilling); no token, profit-sharing, or passive-investment structure
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Limited GDPR/CCPA exposure; primary data is operational/engineering, not consumer PII; employee data in EU jurisdictions creates modest GDPR compliance burden
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; offshore driller in fragmented market with Transocean, Valaris, Seadrill; market concentration below threshold scrutiny levels
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
~80-90% recurring via multi-year day-rate contracts (typically 1-5 year terms); ~10-20% transactional/spot market and reimbursables
Inferred
Agent_Inference
monetization_vector
Day-rate fees per rig per day (~$250K-$500K/day for ultra-deepwater); contract duration and utilization rate are primary revenue levers
Inferred
Agent_Inference
pricing_architecture
Day-rate pricing tied to rig class, water depth capability, and contract duration; pricing leverage increases in tightening UDW supply; limited ability to pass cost inflation mid-contract
Inferred
Agent_Inference
pricing_power_rating
Moderate-to-high in current tight UDW market; spot rates rising toward $500K+/day; operators have limited alternatives for 6th/7th gen drillships
Inferred
Agent_Inference
target_gross_margin_bracket
EBITDA margin ~35-45%; gross margin ~40-50%; constrained by high fixed operating costs (~$150-200K/day opex per rig)
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; capital-intensive physical service with high barriers; churn risk tied to contract expiry and oil price cycles, not pricing arbitrage
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is roughly linear with rig count, not headcount-sublinear; each incremental rig requires ~100-150 crew; labor is ~40% of operating cost
Inferred
Agent_Inference
marginal_cost_of_growth
Marginal cost of adding a rig is high (reactivation $50-150M+); but incremental revenue per reactivated rig is substantial; not scalable in software sense
Inferred
Agent_Inference
franchise_compliance_risk
Not applicable; Diamond operates as a direct-service company with no franchise network
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, CAC would be immaterial vs. contract value (~$200M+ per multi-year contract); sales cycle long (6-18 months); concentration risk increases
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; rig utilization is zero-sum; reputation and safety record drive repeat contracts but no platform flywheel
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low near-term; drilling operations require physical crew; AI aids predictive maintenance but cannot replace rig operations; 5-10 year horizon for partial displacement
Inferred
Agent_Inference
recession_resistance_tier
Cyclical, not recession-resistant; highly correlated to oil price (Brent >$70 required for operator sanctioning); Tier 4 recession vulnerability
Inferred
Agent_Inference
customer_segment_primary
National oil companies (NOCs) and major IOCs: Petrobras, bp, Chevron, TotalEnergies represent top revenue concentration
Inferred
Agent_Inference
customer_segment_secondary
Independent E&P operators and smaller NOCs in West Africa, Australia, Middle East; secondary but growing segment
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
Capex ~$150-250M/year; primarily maintenance and SPS (Special Periodic Surveys); limited newbuild; reactivation capex competes with fleet upgrades; legacy-maintenance heavy
Inferred
Agent_Inference
sec_cik
1492298
Inferred
Agent_Inference
ticker
DO
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_03PASS2026-07-21no 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_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01PASS2026-07-21no unmet atoms among this persona's authored questions

Live Status

No Live Status block found.