BALANCECHEAT / VALUATION
Football Field Valuation Chart
Compare valuation ranges on one consistent basis. Create a compact Football Field from your own low, selected and high values, then use the full model for linked method outputs.
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Open the full valuation model
Continue in the full financial model with independent periods, scenarios, adjustments and detailed valuation assumptions.
A comparison layer, not another valuation method
A Football Field chart places horizontal valuation ranges next to one another. It makes differences between methods visible and supports discussion of why they disagree. It does not calculate a new intrinsic value or automatically determine the correct transaction price.
The small tool accepts ranges you already calculated and uses the same summary and chart components as the full workspace. Enter a label, low value, selected value and high value for each range. No prefilled market evidence is presented as real data.
Start with a common value basis
Every range must represent the same type of value. Enterprise value, equity value and value per share are related but not interchangeable. Convert each method using its appropriate cash, debt and other-claims bridge before comparing shareholder values.
Keep currency, monetary units and valuation date consistent. A €200 million enterprise value range cannot be compared directly with €20 per share. The full model offers a single chart basis and applies each method’s bridge before displaying the selected outputs.
Choose specific outputs
A DCF can provide both a perpetuity-growth output and an exit-multiple output. Trading comparables can supply separate EV/EBITDA and EV/Revenue ranges. Selecting individual outputs preserves the assumptions behind each band instead of collapsing a whole method into one unexplained number.
The full workspace lets you include or exclude outputs, rename labels and reorder rows. Disabled methods disappear from the summary. LBO entry value can be displayed as a transaction assumption, but sponsor IRR itself is a return percentage and cannot share a value axis with enterprise value.
Define what low and high mean
DCF ranges should come from a disclosed sensitivity set or operating scenarios. Comparable ranges might use quartiles, selected peers or explicit multiples. The boundaries are analytical choices, not probability confidence intervals unless a separate statistical model supports that interpretation.
BalanceCheat’s linked summary uses the configured DCF sensitivity grid and the comparable interquartile range, including the selected multiple. A selected marker can differ from the arithmetic middle of a range. Keep the meaning visible when presenting the chart to others.
Read disagreement constructively
A high precedent range may reflect control, synergy or a different market environment. A low trading range may reflect weaker public-market growth expectations. A DCF can disagree because of discount rates, reinvestment, terminal margins or timing. The chart highlights these questions; it does not answer them by itself.
Do not mechanically average ranges with different evidential strength. A thin transaction sample, highly cyclical peer earnings or a terminal-value-heavy DCF needs explanation. Ranges that overlap can still depend on the same underlying optimistic forecast.
Present a traceable conclusion
Use concise labels, restrained colors, a clearly stated basis and readable gridlines. Retain the underlying tables and assumptions so a reviewer can reproduce the results. The visual should communicate the analysis rather than hide it behind decorative graphics.
Continue in the full BalanceCheat model to connect ranges to DCF, trading comparables and precedent calculations. Changes in operating scenarios and selected adjustment groups then flow to the relevant method output and into the summary. The compact tool is useful for arranging existing results; linked modeling belongs in the full workspace.