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Beyond the Single-Point DCF: Probabilistic Valuation & Monte Carlo Model
  • Beyond the Single-Point DCF: Probabilistic Valuation & Monte Carlo Model
  • Beyond the Single-Point DCF: Probabilistic Valuation & Monte Carlo Model
  • Beyond the Single-Point DCF: Probabilistic Valuation & Monte Carlo Model
  • Beyond the Single-Point DCF: Probabilistic Valuation & Monte Carlo Model
  • Beyond the Single-Point DCF: Probabilistic Valuation & Monte Carlo Model
  • Beyond the Single-Point DCF: Probabilistic Valuation & Monte Carlo Model
  • Beyond the Single-Point DCF: Probabilistic Valuation & Monte Carlo Model
  • Beyond the Single-Point DCF: Probabilistic Valuation & Monte Carlo Model
  • Beyond the Single-Point DCF: Probabilistic Valuation & Monte Carlo Model
  • Beyond the Single-Point DCF: Probabilistic Valuation & Monte Carlo Model
Originally published: 20/09/2026 08:44
Publication number: ELQ-25477-1
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Beyond the Single-Point DCF: Probabilistic Valuation & Monte Carlo Model

Probabilistic DCF valuation with Monte Carlo simulation, sensitivity analysis, downside-risk metrics, and automated model checks.

Deon de Wet-Roosby Deon de Wet-Roos
Industrial Chemistry ConsultingFollow
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dcfmonte carlo
Description
Move beyond a single-point DCF valuation with a transparent Excel model that combines conventional discounted cash flow analysis with probability-based simulation.

The General Probabilistic DCF Valuation Model produces enterprise value, equity value, and value per share using a five-year unlevered cash-flow forecast. Users can adjust revenue growth, EBITDA margin, tax, depreciation, capital expenditure, working capital, WACC, terminal growth, net debt, and shares outstanding.
Uncertain assumptions can be represented using fixed, normal, lognormal, triangular, Beta-PERT, Student-t, Pareto, uniform, or historical distributions. The integrated Monte Carlo engine generates 1,000 valuation outcomes and summarizes the mean, median, P10, P50, and P90 values, together with downside measures such as the probability of a negative equity value.

A two-way sensitivity table shows how enterprise value changes across different WACC and terminal-growth combinations. The dashboard brings the deterministic valuation and probabilistic results together in a concise decision-oriented view.
Automated model checks examine the enterprise-to-equity bridge, terminal-value conditions, share count, simulation completeness, distribution settings, parameter validity, Monte Carlo inclusion controls, and forecast revenue. Invalid terminal-value or per-share assumptions are prevented from producing misleading outputs.
The workbook is suited to investment analysis, transaction evaluation, strategic planning, corporate finance, and valuation discussions where uncertainty matters. It is fully editable, requires no specialist simulation software, and allows users to replace the illustrative assumptions with company-specific data.

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Further information

Estimate enterprise value, equity value, and value per share using a transparent five-year DCF.
Replace single-point valuation with probability-based valuation ranges.
Quantify downside risk through Monte Carlo simulation and percentile outcomes.
Test valuation sensitivity to WACC and terminal growth assumptions.
Model uncertainty using fixed, normal, triangular, lognormal, Beta-PERT, Student-t, Pareto, uniform, and historical distributions.
Identify invalid assumptions and calculation issues through automated model checks.
Support investment analysis, strategic planning, transaction evaluation, and valuation discussions.

Companies with reasonably forecastable revenue, margins, capital expenditure, taxes, and working-capital requirements.
Businesses where valuation inputs are uncertain and better represented by ranges or probability distributions.
Investment, acquisition, strategic-planning, and corporate-finance evaluations.
Companies with sufficient historical data or defensible expert assumptions.
Situations requiring enterprise value, equity value, and value-per-share estimates.
Valuations where WACC and terminal growth materially influence the result.
Scenario, downside-risk, and sensitivity analysis.
Early-stage decision-making where a valuation range is more useful than a single estimate.
Comparing management assumptions with conservative and optimistic outcomes.
Analysts who need a transparent, editable Excel model without specialist simulation software.

Pre-revenue or very early-stage businesses with no defensible operating assumptions.
Financial institutions, insurers, banks, and investment funds requiring sector-specific valuation methods.
Distressed or insolvent companies where liquidation, restructuring, or recovery analysis is more appropriate.
Businesses with highly irregular cash flows that cannot be represented adequately by a five-year forecast.
Companies best valued using asset-based, real-option, sum-of-the-parts, or comparable-company methods.
Situations requiring detailed debt schedules, complex tax structures, multiple currencies, or transaction-specific financing.
Projects with finite operating lives where a terminal value should not be used.
Regulated businesses requiring specialized regulatory asset and tariff modelling.
Valuations requiring monthly or quarterly forecasts rather than annual periods.
Formal fairness opinions, audit conclusions, tax valuations, or legal expert evidence without independent professional review.


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