Digital business models pose unique challenges for valuators in distress situations: negative earnings, intangible assets, and high growth expectations do not fit traditional valuation frameworks. An overview of methods, standards, and practical approaches.
When Traditional Valuation Benchmarks Fail
Imagine a SaaS company with EUR 15 million in Annual Recurring Revenue (ARR) but negative EBITDA entering a crisis. The insolvency administrator or restructuring advisor faces a seemingly impossible task: what is this company worth? Traditional valuation methods frequently produce distorted or even absurd results for digital business models. The value creation of these companies is not based on machinery and real estate, but on software, data, user relationships, and network effects.
In restructuring practice, it is becoming increasingly clear that advisors must master both traditional valuation standards and the specifics of the digital economy. This article provides an overview of the relevant methods, standards, and practical challenges.
IDW S 1 as a Starting Point
The IDW Standard S 1 has formed the authoritative framework for enterprise valuations in Germany since 2008. It recognises the capitalised earnings method and the Discounted Cash Flow (DCF) method as equivalent approaches. Both are based on discounting future earnings surpluses or cash flows.
The revised IDW S 1, whose draft was published by the Expert Committee for Corporate Valuation (FAUB) in November 2024, notably strengthens the auditor's responsibility for the plausibility assessment of future earnings projections. For technology companies, this is particularly relevant, as their forecasts often rely on optimistic growth assumptions.
Limitations of DCF for Digital Business Models
The DCF method works excellently for companies with stable, positive cash flows. For digital business models, however, it reaches its limits:
- Negative cash flows during the growth phase: Many SaaS and platform companies invest heavily in customer acquisition and product development. Break-even often lies years in the future.
- High uncertainty in terminal value determination: In standard DCF valuations, the terminal value frequently accounts for 70 to 80 per cent of enterprise value. For fast-growing technology companies, this uncertainty is compounded.
- Difficulty in determining the discount rate: The cost of capital for young technology companies without comparable listed peers is difficult to derive.
Alternative Valuation Approaches for the Digital Economy
Revenue Multiples and SaaS Metrics
In practice, digital business models are often valued using revenue multiples. The SaaS Capital Index shows that listed SaaS companies are currently valued at a median of 6 to 7 times their annualised revenue. For private SaaS companies, multiples stand at approximately 4.8x to 5.3x ARR, depending on the funding structure.
The key value drivers include:
- Net Revenue Retention (NRR): The ability to retain existing customers and increase their revenue
- Monthly Recurring Revenue (MRR) Growth: The growth rate of recurring revenues
- Customer Acquisition Cost (CAC) Payback Period: How quickly customer acquisition costs are recouped
- Gross Margin: As an indicator of scalability
The Damodaran Approach for Companies with Negative Earnings
Professor Aswath Damodaran of NYU Stern School of Business has developed a nuanced approach to valuing growth companies with negative earnings. His core argument: the problem with young companies is not that they make losses. The problem is the high uncertainty of projections.
Damodaran recommends:
- Margin normalisation: Projecting towards the target margins of comparable, more mature companies in the industry
- Explicit modelling of survival probability: Incorporating the probability that the company will not survive the coming years
- Adjustment of reinvestment rates: Distinguishing between value-creating and value-destroying investments
Intangible Assets: The Heart of Digital Valuation
The Valuation Gap under IAS 38
The international accounting standard IAS 38 governs the accounting treatment of intangible assets. For digital business models, this creates a fundamental problem: internally generated intangible assets such as user bases, data repositories, algorithms, or brand awareness may not be capitalised under IAS 38. This means that the book value of technology companies frequently understates their actual value dramatically.
In a crisis, this valuation gap has practical consequences: the liquidation value derived from recognised assets in digital companies is often close to zero, even though significant value in the form of customer relationships, proprietary technology, or data may exist.
Identification and Separate Valuation of Intangible Assets
For restructuring practice, it is critical to identify intangible assets individually and value them separately. Roedl & Partner point out that due diligence for digital business models requires specialised metrics and methods. The key intangible assets include:
- Software and technology: Proprietary source code, patents, unique selling propositions
- Data assets: Customer data, usage profiles, trained AI models
- User and customer base: Active users, paying customers, community effects
- Brand and reputation: Domain, search engine rankings, social media presence
- Contractual relationships: Long-term customer contracts, partnership agreements
Liquidation Value versus Going Concern Value for Technology Companies
In restructuring practice, the distinction between liquidation value and going concern value takes on particular significance for digital business models.
Why Liquidation Value Is Often Misleadingly Low
In a traditional manufacturing company, machinery, real estate, and inventory can be sold individually. In a digital company, however, individual assets often lose massive value when viewed in isolation:
- Software without a user base is often worthless
- Data without the infrastructure to utilise it loses its economic utility
- Customer relationships erode quickly when the service is discontinued
Consequently, the going concern value of digital business models typically exceeds the liquidation value by a significant multiple, which provides a strong argument for restructuring solutions.
The Asset Deal as a Bridge
In practice, a transferring restructuring via an asset deal is frequently chosen for distressed digital companies. The valuable components, particularly software, customer base, and employees, are transferred to a new legal entity. Valuing these assets requires specialised methods such as the relief-from-royalty method for software and the multi-period excess earnings method for customer relationships.
Practical Recommendations for Restructuring Advisors
1. Choose a Multi-Method Approach
Never use just one valuation method. Combine the IDW S 1-compliant DCF approach with market-based multiples and a separate valuation of intangible assets.
2. Collect SaaS-Specific Metrics
Collect and analyse the industry-specific metrics that are decisive for valuing digital business models: ARR, NRR, churn rate, LTV/CAC ratio, gross margin.
3. Model Scenarios
Create at least three scenarios (base case, upside, downside) and weight them. Also consider the possibility of a total loss.
4. Conduct a Technology Due Diligence
Have the technology stack, code quality, and platform scalability reviewed by independent experts. The technical substance has a significant impact on the valuation approach.
5. Adapt Creditor Communication
Explain to creditors why traditional valuation benchmarks do not apply to digital business models. Transparency about the methods used and their assumptions builds trust and facilitates consensus in the restructuring process.
Conclusion: Valuation as a Core Competency in Digital Restructuring
Valuing digital business models in distress requires a rethinking. Neither the pure application of IDW S 1 nor the uncritical adoption of market multiples alone yields robust results. Only the combination of sound business analysis, knowledge of digital value drivers, and standards-compliant methodology enables a proper valuation.
For restructuring practice, this means: anyone seeking to value digital business models must be as fluent in the language of the technology industry as in that of restructuring.
At compleneo, we support you in valuing digital business models in crisis situations and developing viable restructuring concepts. Get in touch with us.
