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.
Use Print / Save as PDF after calculating to generate a branded Los & Stigter report with the valuation graph,
assumptions, sensitivity drivers, annual build-up, and a printed disclaimer. Website header and footer elements are suppressed in the print view. Browser-added page headers and footers remain controlled by the print dialog.
Common valuation inputs
Uncertainty values are absolute, not percentages of the base input.| Parameter | Base value | 1σ uncertainty |
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Profit uplift inputs
Incremental profit drivers under patent protection| Parameter | Base value | 1σ uncertainty |
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Royalty inputs
Relief-from-royalty style parameters| Parameter | Base value | 1σ uncertainty |
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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.
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
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Monte Carlo mean NPV
Standard deviation
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Dispersion of simulated valuations
P10 / Median / P90
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Distribution checkpoints
Deterministic base-case NPV
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Uses the exact base inputs without sampling
Distribution of simulated values
Run the estimator to render the valuation distribution.
Mean ± 1σ range
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Coefficient of variation
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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 caseCalculate 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 |
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Estimated value
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Monte Carlo mean NPV
Standard deviation
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Distribution dispersion
P10 / Median / P90
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Simulation checkpoints
Base-case deterministic NPV
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No uncertainty sampling
Mean ± 1σ range
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Indicative value band
Combined annual realization probability
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Commercialization × enforceability
Coefficient of variation
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Standard deviation as % of mean
Generated
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Timestamp of the calculation
Valuation distribution
The chart below reproduces the simulated value distribution from the Los & Stigter Patent Evaluator.
Key assumptions
| Parameter | Base value | 1σ uncertainty | Unit |
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Top sensitivity drivers
| Driver | Value change at lower input | Value change at higher input | Largest swing |
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Annual value build-up
| Year | Exposure | Gross benefit | After-tax cash flow | Present value |
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Disclaimer. This report was generated by the Los & Stigter Patent Evaluator using user-supplied assumptions,
uncertainty inputs, and internal Monte Carlo calculations. The output is indicative only and does not constitute a formal valuation opinion,
legal advice, patent validity opinion, infringement opinion, tax advice, accounting advice, damages opinion, or a guarantee of realizable market value.
Actual outcomes may differ materially due to patent scope, validity, enforceability, jurisdiction, field-of-use limits, competitive design-arounds,
commercialization execution, transaction structure, market developments, and other facts not captured in this screening model.

