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Challenge terminal value with excess returns

Compare explicit excess-return fade assumptions with the economics implied by a terminal value.

Challenge terminal value with excess returns is a free AI workflow for the job "Handle money and investing". It guides your AI through several skills in order, passing each step's output to the next.

Free · No account · Made by AI Blocks · Level: advanced · Thinking: high

What it does

A terminal-value challenge workbook with finite-excess-return and implied-reinvestment cases. Public-market financial modelling. The governing file preserves the component methods, input coverage and acceptance checks through each handoff.

You give it

• Invested-capital/NPAT schedules, competitive-advantage evidence, stable NOPAT, WACC, growth and proposed terminal values.
• Reporting date, currency and scale, fiscal calendar, accounting basis and authorized scope.
• Available spreadsheet tools and required native output format.

You get

• A terminal-value challenge workbook with finite-excess-return and implied-reinvestment cases.
• Original step files, financial assumptions, source coverage and a governing handoff summary.
• Reconciliation results, unresolved inputs and actual checks completed.

Use it when

• You need a terminal-value challenge workbook with finite-excess-return and implied-reinvestment cases.
• You work on public-market financial modelling and need traceable calculations.
• A reviewer needs to trace the result back to inputs and assumptions.

Steps

1. Economic profit fade schedule: Show two excess-return years followed by an explicit zero-excess-return terminal state.
2. Terminal growth reinvestment check: Expose the reinvestment required by a stable-growth terminal-value assumption.
3. Implied terminal reinvestment schedule: Backsolve reinvestment and capital returns embedded in a supplied terminal operating value.

How to use it

1. Download the complete pack and read its governing SKILL.md.
2. Share the actual sources and the financial question you need answered.
3. Ask your AI to follow the methods, preserve original files and stop affected work on missing evidence.
4. Review assumptions, reconciliations and CHECKS MISSED before relying on the result.

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