Deep Dive · extends Ch. 10: Valuation & Technical Interview Fundamentals
Football Fields and Presenting a Valuation Range
How the DCF, comps, and LBO outputs from Chapter 10 actually get synthesized into one chart
Chapter 10 walked through DCF, LBO, M&A model, and comps as four separate methodologies. In a real engagement, an analyst doesn't present four disconnected numbers — they synthesize them into a single, standard chart. This deep dive covers that synthesis.
The football field chart
A football field (named for its shape) is a horizontal bar chart where each row represents one valuation methodology, and the bar spans that methodology's implied value range — low to high — for the company's share price or enterprise value. Stack a DCF range, a trading comps range, a precedent transactions range (comps based on actual past M&A deals for similar companies, rather than public trading multiples), and sometimes a 52-week trading range, one above the other, and a clear visual pattern emerges: where the ranges overlap (a real convergence across independent methods, a much stronger signal than any single method alone), and where they diverge (worth understanding why before presenting the chart, not just noting that they disagree).
Why a range, never a single point
Chapter 10 already flagged that "a DCF is only as good as its assumptions." A football field makes that humility structural rather than just a verbal caveat — every methodology produces a range (from a low-case to a high-case set of assumptions), not one falsely precise number, and the final chart is honest about the real width of reasonable disagreement across methods and assumptions.
Sensitivity tables — showing how the range was actually built
A sensitivity table (also called a data table) shows how a DCF's implied value changes across a grid of two varying assumptions at once — most commonly WACC across one axis and terminal growth rate across the other. Reading one is a genuinely useful skill: the diagonal pattern shows how much the output value swings for a given change in input assumptions, which is exactly the information an investor needs to judge how much confidence to place in a single headline number. A DCF whose implied value swings 40% across a reasonable WACC range is telling you something different than one that only moves 10% — and only a sensitivity table makes that visible.
Weighting the methodologies — a judgment call, not a formula
There's no universal formula for how much weight to give each methodology in reaching a final view — it's a genuine analytical judgment, informed by context: a DCF might be weighted more heavily for a stable, predictable-cash-flow business where long-term assumptions are more trustworthy; trading comps might dominate for a business in a well-covered, liquid sector with genuinely comparable peers; precedent transactions matter most specifically in an actual M&A context, since they reflect real prices real buyers have actually paid (including any control premium, Chapter 11's takeover-premium concept), which a pure trading comps set doesn't capture at all.
The actual skill this teaches
Anyone can run a DCF formula. Being able to look at a football field showing a DCF range of $40-55, comps at $35-45, and precedent transactions at $50-65, and give a coherent, reasoned view on where the real business is likely worth within that overall spread — and why — is the actual synthesis skill valuation work is ultimately for. The individual methodologies from Chapter 10 are inputs to this judgment, not the final answer on their own.
Check your understanding
1. What does a football field chart primarily communicate?
2. What does a DCF sensitivity table typically vary across its two axes?