Determining and Estimating the Value of Know-How

How to assess and value know-how?

Introduction | Know-how: an invisible asset at the heart of enterprise value

In many businesses, a significant portion of value appears neither on the balance sheet nor in the income statement. It lies in what people know how to do: methods, gestures, reasoning patterns, and operational sequences built over time. This know-how—often concentrated in the hands of a few key individuals—nevertheless constitutes a decisive asset for performance, resilience, and transferability.

A very practical question therefore arises for management:

What is this know-how truly worth?
And, above all: how can one determine its economic value when there is no market price, no comparable transaction, and no explicit accounting recognition?

The difficulty is well known. Know-how sits at the intersection of human capital, organisation, and intangibles. By nature, it is specific, rarely transferable on a standalone basis, and often insufficiently formalised. Yet its absence—or its loss following the departure of a key employee, a founder, or a strategic contributor—can trigger significant value destruction. It is precisely this implicit economic contribution that justifies an analysis and, in certain contexts, a structured financial valuation.

Specialised literature on intangible asset valuation, notably the works of Pierre Bresse and Alain Kaiser, stresses that know-how can only be valued through a rigorous reasoning process combining prior qualitative analysis with appropriate quantitative methods. The point is not to arbitrarily assign a value to an individual skill, but rather to identify substantial, formalised, and secret know-how capable of generating future economic benefits for the enterprise.

Accordingly, the core issue of this paper can be framed as follows:

How can we determine the value of know-how within a business when it is not traded on an observable market, yet remains a real and strategic economic asset?

To answer this, the paper proposes a progressive and structured approach. After defining what “know-how” means in an entrepreneurial context, we analyse the reasons and circumstances that make valuation necessary. We then examine its position in financial valuation, the limits of the market approach, and the main applicable methods—particularly those based on costs and discounting. Specific attention is given to legal risks and to the determination of the discount rate, before illustrating the approach with a practical case study.

What is know-how within a business?

The term know-how is ubiquitous in entrepreneurial discourse, yet it often remains imprecise when one seeks to capture its economic meaning. This ambiguity explains much of the difficulty management faces when trying to determine whether know-how can be an asset in its own right—and, a fortiori, whether it can be valued financially.

From an economic perspective, know-how is neither an individual competence nor human capital taken broadly. It refers to a coherent set of knowledge, methods, practices, and operational reasoning built over time and mobilised recurrently in the firm’s activity. These combined elements enable the organisation to produce, innovate, differentiate, or maintain a given level of performance.

At this stage, three notions frequently conflated must be clearly distinguished:

Competence primarily refers to an individual ability: a competent employee possesses technical or operational knowledge enabling them to execute a given task.
Human capital refers to the aggregate of competencies, experience, and qualifications held by the firm’s employees. It is essential to performance, but it is inherently mobile and leaves the organisation when people depart.
Know-how, by contrast, arises when individual competencies cease to be purely personal and become organised, combined, and integrated into the firm’s operating model. It is expressed through processes, working methods, decision sequences, and operational routines that make performance reproducible—at least partially—independently of any single individual.

Specialised literature on intangible asset valuation, notably Pierre Bresse and Alain Kaiser, converges on a key point: know-how can only be treated as an economic asset if it meets certain cumulative conditions. It must first be substantial, meaning it produces a measurable economic effect—whether through productivity gains, competitive advantage, quality improvement, or a specific innovation capacity.

Second, it must be at least partially formalised. Purely tacit know-how, undocumented and non-transferable, remains highly dependent on the individuals who hold it. Conversely, formalisation—whether via procedures, frameworks, tools, or internal methods—allows know-how to endure and be analysed in a structured way.

Finally, know-how must be secret or difficult to imitate. Protection may be legal, organisational, or simply linked to the complexity of replication. Without such a barrier, know-how provides no durable advantage and, de facto, loses its economic substance.

A fundamental point deserves emphasis: economically valuable know-how is not necessarily held by one person. It can be collective, distributed across functions, or result from a specific interaction between teams, tools, and processes. In such cases, its value lies less in individuals than in the organisation’s ability to orchestrate and stabilise competencies over time. This organisational dimension explains why some know-how survives the departure of key staff, while other know-how disappears when it was never structured.

Before any attempt at quantification, it is therefore essential to conduct a thorough qualitative analysis of the know-how in question. This analysis aims to identify its nature, degree of formalisation, holding model, and the legal or organisational risks associated with it. Without this preparatory work, any financial valuation would be fragile and likely to rely on economically unsupported assumptions.

Why assess the know-how of employees or collaborators?

For many companies, the question of valuing know-how does not arise spontaneously. As long as operations run smoothly, teams are stable, and results are satisfactory, know-how is taken for granted. It is embedded in day-to-day activity without being explicitly identified or measured. Typically, it is only when a specific event occurs that management becomes aware of its value—or its fragility.

The first reason to question the value of know-how is the firm’s economic dependence on key individuals. In many SMEs and service businesses, a critical share of performance rests on a handful of people who have built specific expertise over years. When such know-how is neither documented nor structured, their potential departure represents a major risk. Assessing know-how makes this dependency visible and helps quantify the economic stakes.

Beyond human risk, valuation also serves a value creation and value protection logic. A business may post solid results without clearly identifying the mechanisms behind performance. Yet in a development, succession, or sale context, it becomes essential to understand what truly generates value: is it market positioning, tangible assets, or specific organisational know-how? Know-how valuation helps objectify elements often treated as intangible or intuitive.

This issue becomes particularly acute during transition phases. When a founder steps back, when a partner exits, or when new governance is introduced, know-how is often a key topic—sometimes a source of tension. Without an analytical framework, discussions rest on subjective perceptions, complicating decision-making and increasing the likelihood of disagreement. A structured valuation, by contrast, creates a common language and rationalises the debate.

Know-how valuation also supports strategic steering. Identifying, analysing, and measuring know-how enables management to better orient investment decisions—training, recruitment, or internal process structuring. It also informs choices about outsourcing versus insourcing by clarifying what sits at the core of value and what can be more easily substituted.

Finally, in a context increasingly shaped by investor requirements, financial partners, and sometimes tax or judicial scrutiny, know-how valuation addresses a need for credibility and economic substantiation. When a company claims that much of its value derives from internal expertise, it must be able to explain its nature, scope, and economic contribution. Know-how valuation is not meant to fix a definitive value, but rather to provide a coherent, understandable, and defensible reference framework.

Thus, valuing employee or collaborator know-how is neither a theoretical exercise nor a purely accounting-driven process. It is primarily a decision-support tool, enabling management to better understand the deep drivers of enterprise value and to anticipate the associated risks and opportunities.

In which circumstances should know-how be valued?

Know-how valuation is not a routine management exercise. It most often arises in specific contexts—when the apparent stability of the organisation is challenged or when structural decisions must be made. These situations share a common question: what is the real contribution of know-how to enterprise value, and what would be the economic impact of its loss or transfer?

A first context is legal disputes. When conflicts arise between partners, a key employee, or a former executive and the company, know-how often becomes a point of friction. The question may be whether expertise developed within the firm belongs to the firm or to the individual who implemented it, or what the economic impact is of know-how loss following contractual termination. Valuation helps objectify the financial stakes and inform judicial or settlement outcomes.

Know-how valuation is also critical in succession and M&A transactions. When an acquirer reviews a target, they seek to understand what underpins the sustainable ability to generate future cash flows. If this ability depends heavily on specific know-how that is insufficiently formalised or overly dependent on certain individuals, perceived risk increases and usually translates into a valuation discount. Conversely, clearly identified, structured, and analysed know-how strengthens credibility and facilitates negotiations between sellers and buyers.

Internal restructuring or reorganisation is another key moment. Consolidating functions, creating subsidiaries, outsourcing activities, or integrating new teams often requires revisiting how know-how is distributed and held. In these contexts, valuation is less about producing a definitive number and more about understanding how know-how is embedded in the organisation and how it contributes to overall performance.

Know-how valuation may also become necessary in a tax or financing context—particularly for contributions of intangible assets, group reorganisations, or discussions with financial partners. Where know-how is presented as a key value driver, tax authorities, investors, or lenders may require structured economic substantiation. A documented valuation helps secure assumptions and reduce the risk of later challenge.

Some firms undertake know-how valuation proactively for strategic purposes, outside any immediate constraint. The aim is to identify critical dependencies, reinforce internal knowledge transfer, and reduce risk arising from concentration. Here, valuation plays a diagnostic role, enabling management to prepare the future rather than react under urgency.

In all cases, know-how valuation occurs at a turning point in the company’s life. Whether triggered by conflict, strategic operations, or voluntary initiative, it serves the same need: making visible and intelligible an intangible asset whose value is often decisive, but rarely articulated.

Know-how in financial valuation

In financial valuation, know-how holds a unique position. It is widely recognised as a key driver of economic performance, yet it remains absent from financial statements. This apparent contradiction is less about denying its value than about the limits of traditional accounting frameworks, which recognise an asset only when it is identifiable, controllable, and reliably measurable.

Internally developed know-how only partially meets these criteria. It is generally not acquired from a third party, is not backed by a clearly transferable property right, and cannot be isolated from the organisation without altering its substance. For these reasons, it does not appear on the balance sheet, even when it is one of the primary engines of value creation. However, accounting absence does not imply economic absence.

From a valuation perspective, an asset’s value is defined primarily by its ability to contribute to future economic benefits. On that basis, know-how plays a central role: it influences productivity, quality, innovation capacity, customer retention, and cost control—factors that translate directly or indirectly into future cash flows. The valuation challenge is therefore to understand and measure this contribution rather than to seek formal accounting recognition.

This is consistent with the approach emphasised in specialised intangible valuation literature, notably Pierre Bresse and Alain Kaiser, who stress that know-how’s economic value can only be assessed in relation to the activity it enables. Know-how has no intrinsic standalone value; it derives its value from its use within a given organisational context.

Accordingly, know-how valuation rarely exists as a purely autonomous exercise. Most often, it is addressed either as part of an overall enterprise valuation or as a targeted analysis intended to isolate the contribution of a specific intangible asset. This distinction matters because it conditions both the choice of valuation methods and the expected precision. When know-how is valued in isolation, the objective is not an absolute number but a coherent and economically defensible order of magnitude.

It is also important to underline that know-how valuation rests on inherently forward-looking assumptions. Unlike tangible assets, whose value can sometimes be inferred from observable costs or organised markets, know-how reveals itself through future effects. This prospective dimension requires particular rigour in framing assumptions and a thorough analysis of risks—economic, organisational, and legal.

Ultimately, know-how valuation is an exercise in rationalising decision-making. It does not claim to capture the full intangible richness of the business nor to lock in a definitive value. Rather, it aims to inform strategic choices, objectify discussions that are often intuitive, and provide a shared frame of reference for stakeholders. The next sections follow this logic by addressing the limits of market-based valuation and the practical methods for assessing know-how in the absence of observable market benchmarks.

Why there is (almost never) a market price for know-how

One of the main challenges in valuing know-how is the near-systematic absence of market pricing. This is not accidental; it stems from the nature of know-how and the conditions required for an organised market to exist.

A market price presupposes repeated exchanges between buyers and sellers of comparable, transferable, sufficiently standardised assets. Know-how rarely meets these criteria. It is usually specific to a firm, deeply embedded in its organisation, processes, and culture, making direct comparability particularly difficult.

Know-how is also hard to transfer on a standalone basis. Unlike tangible assets or certain legally protected intangibles such as patents or trademarks, it generally cannot be sold independently of the entity that exploits it. Even where partially documented, its full effectiveness depends on contextual factors—teams, tools, routines, informal interactions. This context dependency prevents the emergence of a market where know-how is exchanged as a standalone asset.

This is compounded by the often confidential nature of know-how. Where it is a competitive advantage, the firm has every interest in limiting its diffusion. Such confidentiality—legal or organisational—reduces transaction visibility and prevents the creation of comparable databases. Even when know-how transfers occur, they are rarely public and even less frequently documented in a way that is usable for valuation.

Finally, the rare situations where know-how seems to be transacted—such as business or business unit sales—do not allow an autonomous price to be isolated. The observed value reflects a package of tangible and intangible assets, anticipated synergies, and strategic considerations specific to the parties. It is therefore illusory to infer a market price directly transferable to other contexts.

The absence of a market price does not mean know-how has no value. It means that valuation cannot rely on credible external comparables and must therefore use indirect methods grounded in economic reasoning—cost approaches, future cash flow approaches, or scenario-based analysis.

Thus, far from being a methodological weakness, the lack of market pricing is the natural starting point for know-how valuation. It necessitates a structured approach anchored in the company’s economic reality and focused on understanding how know-how contributes to value creation. The following sections align with this logic by presenting methods to assess value in the absence of observable market references.

How to value know-how: methods and underlying logic

The absence of market pricing forces the use of indirect valuation methods based not on comparable transactions but on a structured economic rationale. The objective is not to produce an “exact” value in an accounting sense, but to arrive at an estimate that is coherent, defensible, and decision-useful. In this framework, literature and practice converge around a limited set of approaches, whose relevance depends on the context and the nature of the know-how analysed.

A first family of methods relies on historical costs. This consists in identifying the actual expenditures incurred by the firm to develop the know-how: payroll costs, training expenses, structuring costs, and related indirect costs. The benefit is that it draws on observable, documented data. However, its interpretability is limited: past costs do not necessarily reflect the current economic value of know-how—especially if it has become more effective, rarer, or more strategically important. Conversely, some know-how may have been developed at low cost while generating material economic benefits. For these reasons, historical costs are usually a benchmark, not a valuation outcome.

The replacement (reconstitution) cost method adopts a more forward-looking logic. It asks what it would cost today to recreate equivalent know-how under current economic conditions. The exercise assumes the business would have to rebuild from scratch using comparable resources in terms of skills, time, and infrastructure. This allows one to go beyond historical cost limitations by incorporating changes in wages, technologies, and operating models. Replacement cost is particularly relevant when know-how is specific, formalised, and not readily accessible on the market—which is often the case in practice.

This method nonetheless requires a number of structuring assumptions: development duration, required qualification levels, and indirect overhead loadings. It also requires separating what belongs to know-how itself from what belongs to general business operations. When done properly, it yields a robust order of magnitude reflecting the economic effort required to recreate the intangible asset.

Know-how can also be valued through the discounting of economic flows associated with its use. This approach, closer to classic financial valuation methods, estimates the know-how’s contribution to future cash flows and discounts those flows to a present value. For know-how, the contribution is rarely directly observable; it must be isolated through reasonable assumptions—for example by comparing scenarios with and without the know-how, or by analysing productivity, quality, or revenue gains enabled by it.

Discounting introduces an essential dimension: risk. Know-how is exposed to specific risks—human dependency, potential obsolescence, and the strength of legal protection. The choice of discount rate is therefore decisive. It reflects not only the business’s economic risk but also the uncertainty regarding the maintenance and transferability of know-how over time. This point is addressed specifically in a later section.

These methods are not mutually exclusive. In practice, know-how valuation often combines them to cross-check results and test the consistency of assumptions. Historical costs can inform development dynamics, replacement cost can provide an economic baseline, and discounted cash flows can link know-how to future value creation.

Know-how valuation is neither a single formula nor a methodological reflex. It is closer to an economic modelling exercise based on a granular understanding of the business, the organisation, and the associated risks. The following sections extend this analysis by addressing, first, the measurement of legal risks tied to know-how, and second, the determination of an appropriate discount rate for this type of intangible asset.

Measuring legal risk linked to know-how

A financial valuation of know-how cannot be separated from a rigorous analysis of legal risk. Unlike assets protected by formal IP rights such as patents or trademarks, know-how is not, as such, a property right in the strict sense. Its economic value therefore depends heavily on the firm’s ability to defend it legally, protect it, and enforce it against third parties.

Specialised literature, notably Pierre Bresse and Alain Kaiser, highlights that know-how sits in an intermediate zone between information, knowledge, and property rights. Its strength comes not from an autonomous legal title but from a set of legal, organisational, and evidentiary mechanisms that condition its effective appropriation by the firm.

Legal risk measurement can therefore be approached dynamically, inspired by decision-making under uncertainty. Across the know-how lifecycle, one can identify legal events that may affect exploitation or economic value: challenges to secrecy, lack of proof of prior possession, or disputes regarding ownership. For each risk, a probability of occurrence and a potential economic impact can be associated.

In this framework, legal risk does not necessarily imply total value loss. It can translate into partial degradation of economic benefits—for example through loss of exclusivity, territorial limitation, or greater competitive exposure. The valuation challenge is thus to assess not only the probability of risk occurrence but also its economic intensity.

Applied to know-how, the analysis first requires verifying that the know-how meets commonly retained legal criteria. It must be secret, meaning broadly unknown or difficult for third parties to access, so that part of its value lies in the competitive lead it provides. It must also be substantial, i.e., meaningfully different from the state of the art and conferring a real advantage in performance or competitiveness. Finally, it must be identified, implying that it is described or expressed in a form that allows its content, scope, and conditions of use to be verified.

Identification and formalisation play a central role in controlling legal risk. They not only structure know-how internally but also provide evidence in the event of challenge. From this standpoint, the legal strength of know-how is closely linked to the existence of tangible or digital records—lab notebooks, technical memoranda, internal databases, or evidentiary deposits. Such items help demonstrate the reality, precedence, and continuity of possession by the firm.

Secrecy also requires protective measures. Access to know-how must be limited to those strictly necessary for exploitation and framed by appropriate contractual undertakings—confidentiality or non-disclosure agreements. Leaks, lack of segmentation, or uncontrolled internal diffusion mechanically weaken legal protection and increase the risk weighing on value.

The legal risk analysis can therefore lead to a qualitative scoring of know-how based on a structured assessment grid. This grid assesses the legal robustness of know-how against criteria relating to substance, formalisation, and secrecy. The outcome is not intended to generate a standalone financial value, but to measure the level of legal risk attached to know-how.

This legal risk level then directly impacts the financial valuation, notably through adjustment of the discount rate. The higher the legal risk, the higher the specific risk premium applied to future flows should be, to reflect uncertainty regarding the company’s ability to retain and exploit the know-how over time. Conversely, well-structured and legally secured know-how warrants more favourable financial treatment.

A legal audit must cover not only existence but also the quality of evidence. It should verify effective possession, territorial anchoring, precedence, and the consistency of technical content. Any evidentiary weakness on these dimensions undermines protection and limits the company’s ability to rely on a prior possession position.

Legal risk measurement is therefore an essential step in know-how valuation. It connects legal analysis to financial modelling by introducing a coherent reading of risk and strengthening the overall defensibility of the valuation. The next section continues in this direction by addressing the determination of an appropriate discount rate for know-how, integrating both economic and legal risks.

From qualitative legal risk analysis to discount rate adjustment

Know-how valuation requires a clear distinction between two analytical layers: (i) identifying and measuring the legal risk borne by the intangible asset, and (ii) translating that risk financially into valuation parameters. The grid presented above sits exclusively in the first layer. It is neither a standalone valuation method nor a tool that directly determines know-how value; it is a qualitative legal risk measurement instrument designed to inform the choice of discount rate.

Purpose and scope of the assessment grid

The grid relies on a fundamental principle: know-how does not, by nature, benefit from a formal intellectual property right equivalent to a patent or a trademark. Its economic value therefore depends heavily on its ability to be defended legally, evidenced, and preserved over time. The table aims to assess this ability by evaluating the legal robustness of know-how across three inseparable dimensions: substantiality, level of formalisation, and degree of secrecy.

Scoring on a homogeneous scale allows an analysis that would otherwise remain purely descriptive to be objectified. The resulting score does not measure economic performance; it measures exposure to legal risk—i.e., the probability that all or part of expected economic benefits could be compromised by challenge, loss of protection, or evidentiary failure.

Construction logic of the grid

The legal risk grid produces a synthetic score, calculated as the simple arithmetic average of the ratings assigned across all criteria related to substantiality, formalisation, and secrecy.

Each criterion is scored on a homogeneous 0–10 scale, and the average provides an intuitive reading while enabling comparability across know-how assets or protection scenarios. The simple average implicitly assumes that each criterion contributes equally to overall legal robustness. This choice is driven by a desire for transparency and traceability, avoiding subjective weightings that are difficult to justify in practice.

The resulting score is an overall legal robustness indicator between 0 and 10. The higher the score, the more legally secured the know-how appears; conversely, a low score signals increased exposure to challenge, disclosure, or loss of control.

It bears repeating that this score is neither a mathematical probability of risk occurrence nor a direct measure of value. It is a synthetic indicator intended to structure risk analysis and prepare its integration into financial valuation parameters.

Interpreting the legal score

The overall score should be interpreted as a synthetic indicator of legal robustness. A high score reflects legally well-structured know-how with credible protection and limited contestability. A low score indicates legal fragility likely to impair the sustainability of associated economic benefits.

The score has neither normative standing nor universal value. It is a decision-support tool designed to compare situations, document assumptions, and ensure coherence of the valuation reasoning. Its sole purpose is to qualify risk, not to quantify value directly.

Grid developed based on an analysis of French case law relating to know-how.

Arithmetic translation of the legal score into the discount rate

The legal risk grid yields a global legal score computed as the arithmetic average of criteria scores across substantiality, formalisation, and secrecy. This score summarises the degree of legal robustness and captures uncertainty around protection, evidencing, and long-term preservation.

In the absence of a universal normative barometer for know-how, valuation practice typically defines an explicit mapping rule between the legal score and a specific legal risk premium added to the reference WACC. This premium reflects a risk that is not captured by the base economic rate because it is specific to the intangible asset rather than the business as a whole.

In this perspective, one can formalise a correspondence table analogous to those used for patent portfolios, adjusted to the specific nature of know-how.

Correspondence table — Know-how

Doctrinal analysis inspired by L’évaluation financière des droits de propriété intellectuelle, adapted to know-how.

Continuous mathematical variant (proportional approach)

To avoid threshold effects inherent in discrete tables, a continuous formulation can be used to translate the legal score proportionally into a risk premium.

The principle is to define:

a maximum legal risk premium corresponding to a zero (or very low) score;
a nil or residual premium corresponding to a maximum score.

The applicable premium is then computed using a proportional relationship.

By way of illustration, if the maximum premium is set at 5%:

a legal score of 7/10 yields a premium of 1.5%;
a score of 5/10 yields a premium of 2.5%.

This premium is then mechanically added to the reference WACC to determine the discount rate applicable to know-how.

Methodological role of the grid in valuation

The grid plays a central but clearly delimited role. It is the intermediate link between legal analysis and financial modelling. It enables a shift from qualitative risk appraisal to a quantified discount rate adjustment while avoiding arbitrary haircuts or unjustified parameter tweaks.

In doing so, the grid increases the transparency, traceability, and defensibility of know-how valuation. It makes underlying assumptions explicit, structures the reasoning, and supports a rational justification of the risk level embedded in the discount rate.

Practical quantified case: valuing know-how using replacement cost adjusted for legal risk

To illustrate the method developed above, we present a real case observed in France relating to the valuation of internally developed operational know-how. The data have been anonymised and adjusted, but the scenario corresponds to a case effectively encountered in practice.

The analysis is performed in euros and relies on French tax parameters in force, notably a corporate income tax rate of 25%. The methodology is strictly transferable to a Swiss context, subject to adapting local tax, financial, and legal inputs (tax rates, cost of capital, regulatory environment).

Context

The company provides technology-intensive services with high reliance on skills. It is built around a structuring know-how asset—referred to here as ATS-Core—representing a coherent set of methods, tools, and procedures that optimises a critical operational process.

This know-how is not protected by formal IP rights and there is no observable market reference. No external provider can deliver an equivalent turnkey solution. Accordingly, the approach selected is to estimate know-how value via replacement cost, and then explicitly integrate the identified legal risk.

Replacement cost economic assumptions

The valuation relies on the following operational assumptions drawn from internal data:

mobilisation of 4.5 full-time equivalents;
estimated development duration: 4 years;
average annual cost per employee (including charges): €72k;
indirect overhead rate (infrastructure, management, support functions): 70%.

On this basis, the annual fully-loaded development cost is estimated at €374.4k. Total pre-tax replacement cost is therefore €1,497.6k over the full period.

Incorporating French taxation

Consistent with a net economic logic, replacement cost is assessed after tax, since the analysis aims to capture the effective economic effort borne by the company.

Using a corporate tax rate of 25%, the annual net after-tax outflow is:

These net annual flows over four years form the discounting base.

Legal risk analysis and overall score

ATS-Core is then assessed using the legal grid described in Chapter 7, applying the substantiality, formalisation, and secrecy criteria.

The qualitative assessment yields an average global legal score of 6.9/10, indicating know-how that is broadly satisfactory in legal structuring but exposed to certain weaknesses—particularly in formalisation and internal diffusion control.

This score is a legal robustness indicator, not a direct measure of value. It is intended to assess the level of risk affecting the firm’s ability to retain and exploit the know-how over time.

Adjusted discount rate determination

The reference economic discount rate for the business is 10%, corresponding to the company’s WACC. This reflects the overall business risk but does not incorporate the legal risk specific to know-how.

The legal score of 6.9/10 is translated into a legal risk premium using the continuous proportional approach. With a maximum premium of 5%.

The discount rate applied to the know-how is therefore:

Present value of know-how

The net annual after-tax flows of €280.8k over four years are discounted at 11.55%. The present value of ATS-Core know-how is therefore approximately €0.85m, under the stated discounting conventions.

Key takeaways

This case highlights the importance of separating the valuation of the economic substance of know-how from analysis of its legal environment. It also shows that know-how value does not mechanically equal the sum of past costs, but rather reflects those costs viewed through the lens of risk of loss, challenge, or disclosure.

Finally, the example illustrates the coherence of an integrated approach combining legal analysis, financial modelling, and governance of intangible assets—without reliance on observable market pricing.

Management perspective

In many organisations, know-how is a core asset, often more decisive than tangible assets or even certain formally protected intellectual property rights. Yet it is frequently poorly identified, insufficiently structured, and rarely valued—until a critical situation arises: departure of a key contributor, litigation, strategic negotiation, or a succession transaction.

Experience shows that know-how is truly mastered only when it is formalised, secured, and understood as an asset in its own right—just like a customer portfolio, a brand, or patented technology. This requires a shift in perspective: it is no longer only a matter of managing human skills, but of steering a strategic intangible capital base.

The approach presented here allows management to move beyond an intuitive or defensive view of know-how. It provides a structured framework to assess its economic value while explicitly integrating the legal, organisational, and financial dimensions that determine its durability. In this sense, know-how valuation is not an end in itself, but a decision-support tool that helps secure and develop the enterprise.

Conclusion | Towards a structured and operational approach to know-how valuation

Know-how occupies a singular position among corporate intangibles. Neither fully protected by an IP right in the strict sense, nor readily tradable on an organised market, it nonetheless creates value—provided it is substantial, formalised, and kept secret.

This paper has shown that a rigorous valuation is feasible, provided a methodical approach is adopted. The replacement cost approach, when properly implemented, objectifies the economic effort required to recreate know-how. However, it cannot be separated from an in-depth legal risk analysis, which directly conditions the company’s ability to retain, exploit, and transfer know-how over time.

Integrating legal risk through a structured qualitative grid, and translating it explicitly into the discount rate, is a key element of the method. It links legal and organisational factors—qualitative by nature—to a coherent and intelligible financial measure.

Ultimately, valuing know-how is less about seeking an absolute value than about constructing an economically grounded, legally informed, and operationally useful estimate. Such an approach strengthens intangible asset governance and better prepares the enterprise for the strategic, financial, and human challenges it faces.