Flagship finance case

A DCF you can actually argue with.

Most valuations bury their assumptions. This one wears them on the outside; live inputs, WACC build, scenario logic, and integrity checks all visible in the same workbook. The current example is Apple, but the structure is built to swap.

  • Published MVP
  • Workbook-driven
  • Executive-readable

Interactive model โ€” live in your browser

Try the assumptions. See how the price moves.

Pick a scenario or drag any slider. The implied share price recomputes instantly from a 5-year EBIT-based DCF using year-by-year inputs from the Model Inputs worksheet. The full workbook is in ยง IV below.

Why I built it

The point wasn't the price target.

The point was to prove I can take a vague valuation question and turn it into a workbook a stranger could pick up, follow, and disagree with productively. Price targets are cheap. Defensible structure is not.

This page is the explanation layer. The workbook does the analytical work; the page lets a hiring manager, operator, or finance reviewer get the gist before they crack open Excel, or skip Excel entirely if all they wanted was the logic.

What's in the box

The pieces, in plain English.

  • A DCF tab that shows enterprise value, equity value, and implied share price (not just one final number).
  • One control panel for the assumptions you'd actually want to push on: pricing, tax, debt, beta, terminal growth, working capital.
  • A WACC build that walks through cost of capital step by step, instead of hiding it in a single mystery cell.
  • Built-in checks that flag when a fallback was used or a number drifted into "really?" territory.
  • A reusable template so the next company doesn't need to be built from scratch.

Companion Memo

The reasoning behind the workbook.

The model is the artifact, but the memo is what explains how I think about it: why I built it, how the scenarios were framed, and where I see the boundaries between a solid base-case tool and a fully mature valuation system.

Thesis Framing

Why this model mattered to build.

A major part of my MBA experience has been learning valuation from the perspective of actionable finance: not just how formulas work, but how they support real decisions. My view is that firms gain the most strategic advantage when quantitative conclusions and experienced business judgment are used together. The math gives structure. The business lens gives meaning.

As my MBA has moved toward its conclusion, I wanted to understand the full mixture required to build the analytical foundation for enterprise valuation, then apply that knowledge in a way that could eventually support merger-and-acquisition style thinking. This workbook was part work study, part proof of discipline, and part attempt to build a reusable finance asset from first principles.

Assumption Logic

Why the bear, base, and bull cases are intentionally restrained.

The model uses three scenario paths: Bear, Base, and Bull. The Bear case assumes 3% revenue growth, which I anchored to a long-run inflation-like baseline. If a company does not materially expand, a reasonable floor is that revenue may still track the general price level over time.

The Base case assumes 8% growth. My reasoning there is intentionally conservative: roughly five points above inflation, with enough room for positive operating performance without forcing heroic execution assumptions. The Bull case moves to 13%, which is still below the more aggressive 15% to 20% range that bullish models often drift toward. I wanted the optimistic case to remain ambitious without becoming careless.

Model Boundaries

Where the workbook stands today, and what it is meant to become.

This is not a comprehensive end-state valuation platform. It does not yet pull every 10-K line item in a way that automatically produces the broader ratio layer I would want for a full analytical stack, including deeper EBIT, PBT, PAT, quick, and liquidity comparisons. What it does do well is stand on its own as a conservative base-case DCF that can be incorporated into larger frameworks later.

I built manual overrides into the workbook because valuation needs to adapt to the specific cost structures and operating realities of different industries. That flexibility matters. At the same time, I designed the model to be cautious rather than speculative, which is why warning signals appear when values push outside safer ranges. The main conclusion I take from the project is that valuation only becomes useful when ratios, assumptions, controls, and judgment are made to work together clearly enough for someone else to inspect the logic.

Interactive Model

The workbook, running in your browser.

This is the live version of the model. Pick a scenario, push on any assumption, and watch the valuation, the forecast, the sensitivity grid, and the integrity checks recompute in real time. The Excel workbook stays available as the full source artifact; nothing here needs it to run.

Conservative growth, steady margin expansion, restrained terminal value.

Forecast drivers
Cost of capital & structure

Implied value per share

$0.00

Market price $0.00

OVERVALUED 0% vs market
PV of forecast FCFs $0
PV of terminal value $0
Enterprise value $0
Equity value $0
WACC effective 0%

Five-year unlevered free cash flow

Line ($) Revenue Growth EBIT Tax NOPAT D&A CapEx Δ NWC FCF DF PV FCF

Sensitivity · implied price (WACC × terminal growth)

Model checks

FAIL
Check Observed Status
Audit note: The base case fails its own checks on purpose. Cost of debt came back empty from the data query and falls to a zero manual placeholder, and the WACC/g sensitivity grid uses a different net-debt sign than the headline bridge, so its centre will not tie out. The model shows these weak points instead of hiding them.

Workbook Architecture

How the workbook is organized.

The workbook is structured so a reviewer can move from the headline output to the assumptions, the cost of capital, the source data, and the integrity checks without getting lost.

Cover

Workbook orientation, usage steps, and tab map.

DCF

Main valuation output with implied share price, enterprise value, and market bridge.

Model Inputs

Forecast controls, manual overrides, terminal logic, and working-capital assumptions.

WACC

Risk-free rate, beta, ERP, capital structure, and discount-rate build.

Working Capital

Support schedule for operating working-capital logic.

3 Statements

Historical balance sheet, income statement, and cash-flow data.

Historical Actuals

Anchoring history used to support projections.

Model Checks

Integrity tests for key inputs, relationships, and output sanity.

Source Audit

Refresh diagnostics and visibility into where key inputs came from.

Data Queries

Live pulls for market data, treasury rates, tax rate, shares, and related fields.

Query Setup

Workbook plumbing for the live query layer.

What's next for this case

The memo is the next thing to grow.

The structure is solid: a real workbook, a public page, and enough explanation to follow the logic. Next round, I'm deepening the memo; thesis framing, the case for and against each scenario, and the specific things that would actually change my mind about the number.