Precision Drilling Corporation
92e9bbf1-3de0-4883-9d0b-32a1693db4cf
PRODUCTION_VERIFIED schema v3.0.0 Inferred last heartbeat: 2026-07-20T17:11:49.632820+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% recurring via multi-year term drilling contracts; ~30% transactional spot market contracts — high recurring revenue base
SG-049
Subscription
VALUE High

Hybrid Combination

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

55 Archetypes Evaluated High: 2 Medium: 18 Registry: schemas/sg55_archetype_registry.yaml

Knowledge Graph — All Sections

debt_leverage_profile
Net debt ~$1.1B, Net Debt/EBITDA ~2.5x; 20% EBITDA decline raises leverage to ~3.1x, approaching covenant thresholds
Inferred
Agent_Inference
interest_rate_sensitivity
~60-70% of debt at fixed rates; 20% rate rise increases annual interest expense by ~$15-20M on floating tranches
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
Saudi Arabia/Middle East rig component sourcing and Permian Basin steel tubular imports via Gulf of Mexico logistics corridors
Inferred
Agent_Inference
international_expansion_readiness
Exposure in Saudi Arabia (SAR pegged to USD, low risk), Kuwait (KWD stable), and Middle East broadly; CAD/USD fluctuation is primary FX risk
Inferred
Agent_Inference
geographic_footprint
Operations in Canada (~55% revenue), U.S. (~30%), Middle East/International (~15%); CAD devaluation is primary 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
No single vendor exceeds 30% of input costs; top suppliers are steel/tubular goods makers and NOV for rig equipment — substitutable but costly
Inferred
Agent_Inference
business_model_type_primary
Asset-heavy contract drilling; cloud infrastructure not operationally critical — minimal disruption risk from cloud provider termination
Inferred
Agent_Inference
business_model_type_secondary
ERP and drilling data analytics use cloud-adjacent tools; back-office disruption manageable within 30-60 days via migration
Inferred
Agent_Inference
switching_cost_profile
Low API coupling risk; proprietary Alpha™ rig control systems create moderate client switching costs on operational side, not cloud API dependency
Inferred
Agent_Inference
howey_test_risk_index
Drilling services revenue model fails Howey Test; no investment contract structure — no securities law risk from primary revenue model
Inferred
Agent_Inference
regulatory_burden_tier
High
Medium
GICS-regulatory-overlay-v1
data_sovereignty_risk
Minimal GDPR/CCPA exposure; primary data is operational/geological, not personal data; limited consumer PII processed
Inferred
Agent_Inference
antitrust_exposure_flag
Low antitrust risk; operates in fragmented contract drilling market with Nabors, H&P, Patterson-UTI as major competitors; no dominant share
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% recurring via multi-year term drilling contracts; ~30% transactional spot market contracts — high recurring revenue base
Inferred
Agent_Inference
monetization_vector
Day-rate contract drilling fees; secondary revenue from directional drilling services and camp/catering operations
Inferred
Agent_Inference
pricing_architecture
Day-rate model (~$28,000-$35,000/day for Super-Triple rigs); stress test shows 15% day-rate compression in oversupply reduces EBITDA by ~$80M
Inferred
Agent_Inference
pricing_power_rating
Moderate; Super-Series premium rigs command 10-15% day-rate premium over peers, but commodity price cycles constrain broad pricing power
Inferred
Agent_Inference
target_gross_margin_bracket
Gross margin ~35-40%; EBITDA margin ~25-30%; operating leverage limited by high fixed asset depreciation and crew costs
Inferred
Agent_Inference
churn_vulnerability_index
No free-rider problem; physical asset deployment requires contractual commitment — churn risk is contract non-renewal during downcycle
Inferred
Agent_Inference
headcount_cost_structure
Revenue growth is headcount-linear; each incremental rig requires ~35-50 crew members — no sublinear scaling dynamic
Inferred
Agent_Inference
marginal_cost_of_growth
High marginal cost of growth; each new rig deployment requires capital ($40-60M/rig) plus full crew — limited operating leverage
Inferred
Agent_Inference
franchise_compliance_risk
Not a franchise model; not applicable
Inferred
Agent_Inference
customer_acquisition_metric
At 10x scale, day-rate compression and crew scarcity would compress margins; CAC low but rig supply physically constrained
Inferred
Agent_Inference
network_effect_present
No meaningful network effects; drilling services are non-networked physical assets — value does not increase with more users
Inferred
Agent_Inference
asset_efficiency_ratio
AI displacement risk low for core drilling operations; Alpha™ automation reduces driller headcount marginally but rigs remain human-dependent
Inferred
Agent_Inference
recession_resistance_tier
Tier 3 — highly cyclical; revenue falls sharply with oil price declines (WTI below $50 triggers significant customer capex cuts)
Inferred
Agent_Inference
customer_segment_primary
Major integrated oil companies (e.g., ConocoPhillips, Cenovus) and large E&P operators representing ~60% of contracted rig days
Inferred
Agent_Inference
customer_segment_secondary
Mid-size independent E&P companies in Canadian oil sands and U.S. Permian Basin representing ~30% of 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
Capital is being reallocated toward high-spec Super-Series rig upgrades and Alpha automation; legacy mechanical rig maintenance declining as proportion of capex
Inferred
Agent_Inference
sec_cik
0001013605
High
SEC-EDGAR
ticker
PDS
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.