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Public Company Financing Metric Analysis

Professional Updated 2026.08.30

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About this skill

Problem

Listed-company financing analysis is often reduced to checking leverage and interest expense, which does not reveal the actual capital structure. This skill organizes balance-sheet and income-statement inputs around WACC, ROIC, and ICR, creating a reviewable calculation path for public-company financing quality.

How It Works

The skill identifies the required fields first, then writes step-by-step JSON output:
- Interest-bearing debt: combines short-term borrowings, long-term borrowings, bonds payable, and non-current liabilities due within one year.
- Blended financing cost: uses interest expense / interest-bearing debt to estimate the cost of debt.
- WACC: applies Ke × E/(D+E) + Kd × (1-T) × D/(D+E) to calculate weighted cost of capital.
- ROIC: derives NOPAT, then divides by invested capital, where excess cash is deducted.
- ICR: compares the change in NOPAT with the change in invested capital to assess capital allocation efficiency.

Boundaries

It is suited for preliminary dissection of a listed company financing structure, not audit or valuation. Field definitions must be consistent; Ke, Kd, and tax rate require explicit assumptions when missing. The excess-cash rule uses 30% of interest-bearing debt, which may not fit cash-intensive businesses.

Use Cases

  • When dissecting annual reports, organize borrowings, bonds, and interest fields into debt and cost tables.
  • When evaluating M&A targets, fill Ke, Kd, and tax rate inputs to calculate WACC and sensitivity assumptions.
  • When preparing investment committee materials, split NOPAT, invested capital, and excess cash into ROIC and ICR.
  • In credit due diligence, aggregate debt components and annotate interest expense definitions before modeling.

Best For

  • Sell-side analysts preparing annual-report teardowns who need interest-bearing debt, cost, and WACC inputs.
  • Fund investment managers tracking post-deal projects who need NOPAT, invested capital, and ICR as JSON fields.
  • Bank credit analysts conducting due diligence who must aggregate borrowings, bonds, and current liabilities.
  • Finance managers drafting investment materials who need ROIC and ICR broken into traceable formulas.