Revenue Concentration Stress Lab

Stress-test client dependency, quantify Herfindahl-Hirschman Index (HHI) concentration risks, and audit SEC Regulation S-K Item 101(c)(1)(vii) disclosure thresholds for IPOs and debt underwriting.

Scenarios:

Customer Accounts

Live Risk Diagnostics & Churn Stress-Test

Model Active
Total Annual Rev $0.0M Baseline: $0.0M
HHI Index 0 Highly Concentrated
Top 2 Concentration 0% Top 5: 0%
Projected EBITDA $0.0M Margin: 35.0%
Infrastructure & debt amortization that persists even during customer churn.
Gross margin on retained energy, cloud compute, or licensing.
Revenue Distribution & Lorenz Concentration Curve
Baseline Share
Churned / Lost
Lorenz Curve
Perfect Equality (45°)
Client Name Baseline Rev Baseline Share Status Post-Stress Rev SEC 10% Trigger

SEC Regulation S-K Item 101(c)(1)(vii) Audit

Evaluating individual customers generating ≥10% of consolidated net revenue requiring mandatory prospectus disclosure.

Why Wall Street & Underwriters Stress-Test Customer Concentration

The Herfindahl-Hirschman Index (HHI)

HHI squares each customer's percentage market share and sums them: HHI = Σ (s_i)². While the DOJ uses HHI for market dominance (1,500 = unconcentrated, >2,500 = highly concentrated), institutional credit analysts apply it to revenues. An HHI above 2,500 indicates severe supplier risk where the loss of one contract threatens solvency.

SEC Item 101(c)(1)(vii) Mandate

Under SEC regulations, public companies and IPO registrants (like AI data center developer Nscale filing for listing) must formally disclose any customer that accounts for 10% or more of consolidated total revenue, alongside explicit risk factors documenting the potential damage if the relationship terminates.

Operating Leverage & The Fixed Cost Trap

Data centers and capital-intensive infrastructure firms carry high debt service and power commitments. When a 35% revenue anchor client churns or demands pricing renegotiation, variable costs fall marginally while fixed facility amortization remains constant, causing operating EBITDA to collapse disproportionately.

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