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Software & Technology: The Valuation of Intangible Assets

November 11, 20156 min readNate

Today’s technology and software deals include a greater number of highly-valuable, yet intangible assets than ever before. The explosion of big data is certainly facilitating this rapid ascent. Fortunately, the Financial Accounting Standards Board (FASB) has issued vital information on the valuation and treatment of various intangible assets including patented technology, trade secrets, databases and software/code. Patents are typically a bit more solid when it comes to valuation metrics.

The income and royalty streams derived from most patents can be fairly easily quantified over the course of a patent’s useful life. Unfortunately, other intangibles such as software, trade secrets or data are a bit more difficult to nail. Valuing these assets for M&A purposes can be even more difficult, particularly if they represent a reason a buyer may want to buy a business for more than it’s worth.

Why Intangible Asset Valuation Has Become Central to Technology M&A

In capital-intensive industries of the past, most of a company’s value resided in tangible assets: plants, equipment, inventory, and receivables. For a software or technology business, the inverse is often true. Proprietary code, trained models, curated data sets, trade secrets, and customer relationships may collectively represent the overwhelming majority of enterprise value — yet none of them appear on a balance sheet at anything close to their economic worth.

This asymmetry creates both opportunity and risk in M&A. Buyers who accurately assess intangible value can pay a price that reflects the true strategic upside. Buyers who do not may either overpay for assets they cannot integrate, or underpay and lose the deal to a more sophisticated competitor. Understanding the frameworks below is a prerequisite for any practitioner involved in software company acquisitions.

The Useful Life Issue of Valuing Software Tech

Settling on a useful life for software and technology is perhaps the biggest issue and challenge for business valuation professionals. Newer, leapfrog technologies may arise that expand computing power, provide better communications capabilities and completely eliminate the need for a previous version. The rapidity and speed with which this occurs further compounds the difficulty of a valuation assessment.

As a result, there is typically a heavy discount placed on the expected life and longevity of any software technology, particularly if it provides a competitive advantage within its industry. If the technology in question is expected to maintain its relative leadership position in an industry through continued development, engineering, R&D and re-tooling, then the valuation of the tech or software is likely to be much higher as a result.

From a practical standpoint, appraisers frequently distinguish between technologies with a clear development roadmap backed by committed engineering resources and those that are essentially static. A product maintained by a strong engineering team, with documented release cadences and customer-validated feature demand, commands a longer assumed useful life and a correspondingly higher capitalized value. Buyers conducting technical due diligence should specifically probe this question: is the technology self-sustaining, or does it depend on a small number of key personnel whose departure would accelerate obsolescence?

Valuation of Goodwill & R&D

In the United States, the SEC requires all in-process research and development (IPR&D) to be evaluated for capitalization and/or expense purposes. The technology will also be assessed for potential write-off requirements. For example, if a software company acquisition included the purchase of significant IPR&D then it is likely the capitalized value of this asset will be required to be written-off immediately following the transaction — creating a negative impact on the company’s goodwill.

The reason: you cannot include the value of the next version of the software if the current version is fully completed. In other words, the technology behind the software will eventually change enough that it should be treated as a completely new business asset. Due to tax incentives, most companies will work to maximize goodwill and minimize IPR&D. In the past, the incentives were actually inverted. For tax purposes, shareholders will always desire low valuations and short-lived assets. Uncle Sam wants the reverse.

This tension between buyer and seller incentives on IPR&D allocation is a frequent source of post-LOI negotiation. Sellers prefer higher IPR&D values (which can justify higher total purchase prices), while buyers may prefer structures that minimize future write-off obligations. The allocation ultimately gets resolved in the purchase price allocation process, which should be addressed explicitly in the definitive agreement. Engaging experienced investment banking advisors who understand both the accounting and tax dimensions of these allocations is essential.

Three Key Questions to Answer When Assessing Intangible Assets

When making the assessment of asset valuation for an M&A event, it is important to understand the following key points:

  • What is the tax incentive or liability of the decision to acquire?
  • How will the incentives treat my valuation of the technology?
  • What is the short and long term impact to goodwill? IPR&D? Software valuation?

What often appears simple, seldom is. Software is certainly no exception. As you attempt to navigate your next software deal, your deal team will most likely include the likes of specialized accountants, investment bankers and attorneys to ensure structure for both short and long term tax treatment creates a win for all parties involved.

Common Valuation Methodologies for Intangible Assets

The three primary approaches used in practice are the income approach, the market approach, and the cost approach. Each has strengths and limitations depending on the type of intangible being valued.

Income approach: Estimates the present value of future economic benefits attributable to the intangible. For software with recurring revenue and quantifiable churn rates, a discounted royalty-savings model or multi-period excess earnings model is common. The challenge lies in isolating the cash flows attributable to the specific intangible versus other contributing assets.

Market approach: Benchmarks the intangible against comparable transactions or licensing agreements. This is most reliable for patents and trade names where licensing data exists, but is difficult to apply to bespoke software or proprietary data sets where no comparable market exists. Reviewing software M&A valuation models provides useful benchmarks for comparable transaction analysis.

Cost approach: Estimates the cost to reproduce or replace the intangible. For software, this typically means estimating the engineering hours required to replicate the functionality at current labor rates. This approach is often used as a floor rather than a primary methodology, since it ignores the market position and customer relationships that distinguish a successful product from a newly-built one.

Understanding how these methods interact and which is most defensible in a given transaction is part of the specialized expertise that recognizing intangible assets in an acquisition requires.

Frequently Asked Questions

Can trade secrets and proprietary data be valued for M&A purposes?

Yes, though with greater uncertainty than patents. Trade secrets and data assets are typically valued using the income approach — specifically, a royalty savings or incremental revenue model that estimates what the business would have to pay to license equivalent capability if it did not own the asset. The validity of this approach depends heavily on identifying comparable licensing transactions, which can be difficult for highly specialized data sets.

What happens to in-process R&D after an acquisition closes?

Under current U.S. GAAP, IPR&D acquired in a business combination is recognized as an indefinite-lived intangible asset at acquisition date, rather than expensed immediately as was previously required. It is then tested for impairment annually until the related project is either completed (at which point it is reclassified to a finite-lived intangible and amortized) or abandoned (at which point it is written off). This treatment is more favorable than the prior immediate-expensing rule and reduces the immediate earnings impact for acquirers.

How does customer data factor into software company valuations?

Proprietary customer data — behavioral data, transaction histories, and trained models derived from customer interactions — is increasingly treated as a standalone intangible in technology acquisitions. Its value depends on exclusivity (whether the data is unique or replicable), coverage (the breadth and depth of the underlying population), and regulatory risk (particularly GDPR and CCPA compliance obligations that attach to personal data). Buyers should ensure that data asset representations and warranties in the purchase agreement specifically address these dimensions.

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