Borr Drilling Ltd
596c1498210b4dd39e5ae592348f0d68
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-21T10:49:32.580480+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-035 Premium WHO High
Direct: pricing_architecture=Day rates currently $120K-$175K/day for premium jack-ups; stress scenario: 20% rate decline to ~$96K-$140K/day would compress EBITDA margins from ~40% to ~25%. Corroborated: target_gross_margin_bracket=Gross margin ~55-65%; EBITDA margin ~38-45% at current day rates; capex-heavy model compresses net margins to ~10-20% (High gross margin bracket (>60%) indicates premium positioni)
SG-024
Lock-in
WHO High
SG-013
Experience Selling
WHAT High
SG-001
Add-on
WHO High
SG-036
Product to Capability
WHAT High
SG-049
Subscription
VALUE High

Hybrid Combination

Premium (SG-035) WHO provides the core structure, combined with Lock-in (SG-024) + Experience Selling (SG-013) + Add-on (SG-001) to form the complete business model fingerprint.

55 Archetypes Evaluated High: 6 Medium: 15 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Net debt ~$1.4B as of 2024; Net Debt/EBITDA ~3.5x; a 20% EBITDA decline would push leverage to ~4.4x, approaching covenant thresholds
Inferred
Agent_Inference
interest_rate_sensitivity
~60-70% of debt is fixed-rate; a 200bps rate rise on floating portion adds ~$15-25M annual interest cost, manageable but margin-compressing
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
Arabian Gulf strait closures (Hormuz) disrupting Middle East operations; West African port/logistics chokepoints affecting Nigeria/Senegal rigs
Inferred
Agent_Inference
international_expansion_readiness
USD-denominated contracts insulate most revenue; Nigeria Naira and Mexican Peso devaluation pose modest indirect risk via local cost inflation
Inferred
Agent_Inference
geographic_footprint
Operations in Middle East, West Africa, Southeast Asia, and Americas; top markets are Saudi Arabia, Nigeria, and Mexico — all USD-contracted but politically volatile
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
Shipyard maintenance and BOP equipment concentrated among few OEMs (NOV, Cameron/SLB); no single vendor likely >30% but switching costs are high and lead times long
Inferred
Agent_Inference
business_model_type_primary
Physical asset-heavy offshore drilling contractor; negligible cloud infrastructure dependency — rig operations run on onboard and proprietary systems
Inferred
Agent_Inference
business_model_type_secondary
Day-rate drilling services; cloud termination risk is immaterial; shore-based admin and data analytics could be disrupted but not operationally critical
Inferred
Agent_Inference
switching_cost_profile
Minimal API/software coupling risk; core operations are hardware-driven; some ERP/data platform dependencies but easily substitutable
Inferred
Agent_Inference
howey_test_risk_index
Borr's revenue is pure drilling services day-rate; fails Howey Test — not a security instrument; negligible regulatory reclassification risk
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Limited consumer PII exposure; GDPR/CCPA risk is low — primarily B2B industrial operations with employee HR data as main compliance vector
Inferred
Agent_Inference
antitrust_exposure_flag
Jack-up rig market is competitive with Valaris, Shelf Drilling, Arabian Drilling; Borr holds ~10% global premium jack-up share; no dominant market position flagged
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
~85-90% recurring via multi-year day-rate contracts (1-5 year terms); ~10-15% transactional or spot-rate exposure
Inferred
Agent_Inference
monetization_vector
Day-rate drilling contracts; revenue = contracted day rate × operating days; ancillary revenue from reimbursables and mobilization fees
Inferred
Agent_Inference
pricing_architecture
Day rates currently $120K-$175K/day for premium jack-ups; stress scenario: 20% rate decline to ~$96K-$140K/day would compress EBITDA margins from ~40% to ~25%
Inferred
Agent_Inference
pricing_power_rating
Moderate-high near-term pricing power due to tight premium jack-up supply; power diminishes if oil drops below $60/bbl triggering E&P capex cuts
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~55-65%; EBITDA margin ~38-45% at current day rates; capex-heavy model compresses net margins to ~10-20%
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider leakage applicable; contract non-renewal risk exists but take-or-pay provisions and mobilization costs deter early termination
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is rig-linear, not headcount-linear per se; adding a rig requires ~100-120 crew; doubling revenue requires proportional rig and crew additions
Inferred
Agent_Inference
marginal_cost_of_growth
Growth is capital-intensive and roughly linear with rig count; marginal cost of adding a rig (~$200M+ newbuild or $50-100M reactivation) is high
Inferred
Agent_Inference
franchise_compliance_risk
null
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, customer base remains concentrated among ~20-30 major NOCs/IOCs; CAC is low (relationship/tender-driven) but contract execution capacity is the binding constraint
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; value proposition is asset availability, safety record, and operational efficiency — not network-driven
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk is low; physical drilling operations require human crews; AI assists in drilling optimization but does not replace rig assets or personnel
Inferred
Agent_Inference
recession_resistance_tier
Moderate resilience; oil price is the primary driver — recession reducing oil demand below $60/bbl triggers contract cancellations and day-rate compression
Inferred
Agent_Inference
customer_segment_primary
National Oil Companies (NOCs) — Saudi Aramco, ADNOC, NNPC; estimated ~50-60% of contracted revenue
Inferred
Agent_Inference
customer_segment_secondary
International Oil Companies (IOCs) — TotalEnergies, Shell, Equinor; estimated ~30-40% of contracted revenue
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 is primarily maintenance and reactivation of existing fleet (~$150-200M/year); limited newbuild investment; capital allocation favors debt reduction and dividends over fleet expansion
Inferred
Agent_Inference
sec_cik
0001715497
High
SEC-EDGAR
ticker
BORR
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_01PASS2026-07-21no unmet atoms among this persona's authored questions
SKILL_OPS_PARTNER_01FAIL2026-07-211 authored question(s) unanswerable — e.g. QBANK_OPS_002 nee

Live Status

No Live Status block found.