Los & Stigter Patent Evaluator

Los & Stigter Patent Evaluator

Valuation tool for website use. Choose Profit Uplift or Royalty, enter assumptions plus uncertainty for each input, then calculate an indicative value and simulation-based standard deviation.

Single-file HTML
Monte Carlo uncertainty
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Los & Stigter branded report

Inputs & assumptions

For every numeric input, provide a base value and a 1σ uncertainty. The calculator runs a Monte Carlo simulation to estimate value dispersion.

Report details

These details appear in the printed / PDF Los & Stigter report.

Common valuation inputs

Uncertainty values are absolute, not percentages of the base input.
Parameter Base value 1σ uncertainty

Profit uplift inputs

Incremental profit drivers under patent protection
Parameter Base value 1σ uncertainty
Print / Save as PDF opens a clean Los & Stigter report-only print view so the surrounding website header and footer are not included. Direct browser printing is also isolated to the report section. The printed report automatically includes a disclaimer.
Ready. Enter assumptions and click Calculate to produce a Los & Stigter patent evaluation estimate.
How the estimator works
Estimate of value. The headline figure is the Monte Carlo mean of patent net present value (NPV) produced by the Los & Stigter Patent Evaluator.
Standard deviation. Dispersion of simulated NPVs after sampling uncertain inputs from truncated normal distributions.
Profit uplift method. Incremental EBIT can include price premium, variable-cost savings, market-share uplift, and fixed-cost savings.
Royalty method. Royalty benefit is modeled from revenue base, market royalty rate, patent apportionment, coverage, erosion, tax, risk, and discounting.
Risk factors. Commercialization probability and patent validity/enforceability probability are applied as expectation multipliers to annual cash flows.

Results

Los & Stigter estimate summary, standard deviation, percentiles, annual present value build-up, and top value drivers.

Estimated patent value
Monte Carlo mean NPV
Standard deviation
Dispersion of simulated valuations
P10 / Median / P90
Distribution checkpoints
Deterministic base-case NPV
Uses the exact base inputs without sampling

Distribution of simulated values

Run the estimator to render the valuation distribution.
Mean ± 1σ range
Coefficient of variation
Probability-adjusted value logic Annual benefits are adjusted for commercialization and enforceability likelihood.

Top sensitivity drivers

One-at-a-time ±1σ shock on the base case
Calculate to see which assumptions move value the most.

Annual value build-up

Base-case annual cash flow contribution
Year Exposure Gross benefit After-tax CF Present value
No results yet.