Estimating the value of intangible investments: A new approach

Various financial metrics, such as return on invested capital, debt-to-equity ratios, and Tobin's Q – a ratio frequently used to measure whether a company is being overvalued or undervalued in the stock market – depend on accurate asset and equity values, making it crucial to address this disparity.

A changing economic landscape

The significance of intangibles in the U.S. economy continues to grow. Each new cohort of public firms invests more in intangibles than its predecessor. In the United States, intangibles investment as a share of total investment increased to 29% percent in 2020, according to the McKinsey Global Institute. In some European economies, the increase in the intangibles share was even more significant. These numbers highlight the need for a more nuanced approach to accounting for these assets.

One size does not fit all

Recent research endeavors aim to address the absence of in-house intangible assets from reported balance sheets by incorporating the expenses classified as selling, general, and administrative (SG&A) expenditures into capital calculations. However, these studies often employ simplified, one-size-fits-all approaches, such as uniformly considering 30%, 50%, or even 100% of SG&A as investments, without regard for a firm's industry, operational model, or the economic context of the measurement period.

Adding to this uniform capitalization assumption for R&D and SG&A is another assumption: that the useful lifespan of these investments remains constant across all industries and periods. Thus, critical parameters used in estimating the values of capitalized intangible assets in a perpetual inventory model are assumed to be consistent for all companies and throughout time.

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Distinguish between maintenance R&D and investment R&D

Furthermore, when capitalizing 100% of R&D expenses, previous studies fail to distinguish between maintenance R&D and investment R&D. Maintenance R&D encompasses costs aimed at enhancing existing products and processes or supporting ongoing operations within the current period, as opposed to long-term future investments. This approach contradicts the well-accepted understanding that rapidly evolving industries like  such as like telecommunications, antivirus software, and cybersecurity allocate a substantial portion of their R&D budgets to maintaining their current competitive positions.

Disregarding this reality also conflicts with the principles outlined in International Accounting Standard (IAS) 38, part of the International Financial Reporting Standards (IFRS). IAS 38 necessitates stringent criteria be met before permitting the capitalization of R&D outlays, including the requirement to distinguish between investment and maintenance R&D.

A more flexible approach

My colleagues and I propose a more adaptive methodology for varying capitalization rates and useful lives of in-house intangibles across industries and periods. We introduce two modifications to the regression analysis.

    We depart from prior studies by using future revenues instead of operating income as the dependent variable. This modification aligns with the principle of matching, as expenditures are typically matched to revenues in accounting conventions rather than to profits. Furthermore, operating profits are computed after deducting investments within R&D and SG&A.

    We alter the approach by making outlays the dependent variable (in contrast to previous studies where they served as independent variables). In this adjustment, we employ current revenues alongside a series of future revenues as independent variables. This approach allows us to precisely identify the portion of expenditures linked to current or forthcoming revenues while simultaneously controlling for the potential influence of these expenditures on revenues in subsequent periods.

Customizing capitalization rates

This innovative approach acknowledges that not all in-house intangible expenditures are equal. Some serve to maintain current operations, while others are strategic investments aimed at long-term value creation. Tailoring capitalization rates to industry-specific needs better reflects the actual value of the investments.

As an illustration, the SG&A category encompasses both investments with anticipated future benefits and maintenance expenditures essential for sustaining ongoing operations. In industries such as wholesale establishments and restaurants, where these outlays are vital for supporting current business operations, the proportion of maintenance expenses within SG&A (e.g., rents, sales discounts, commissions, and promotions) is expected to be relatively higher. Conversely, in sectors focused on establishing long-term assets, such as distribution networks, trademarks, brands, or organizational capabilities required to leverage the value of patents or mining rights, the proportion of investments within SG&A is likely to be more pronounced.

Different useful lives

Intangible assets also differ in how long they contribute to a company's success. Industries with fast-changing technologies may experience shorter benefits from R&D, while those with enduring technologies see more extended benefits. For instance, the effective lifespan of an advertising campaign promoting a sports event tends to be briefer than when a company is launching a new pharmaceutical brand safeguarded by a freshly granted patent.

Comparable reasoning applies to R&D. Entities operating in industries characterized by rapidly evolving technologies typically experience shorter-term benefits from their R&D efforts, in contrast to those involved in sectors with stable and enduring technologies. This new approach provides a more accurate estimate of useful lives by incorporating these differences.

The results

The research reveals substantial variations in capitalization rates and useful lives across industries and periods, debunking the notion of uniformity.

In extractive industries such as metal mining and oil, the investment component within operational SG&A exceeds 80%, mainly due to the inclusion of exploration and dry-hole expenses. Similarly, industries requiring continuous product adjustments to meet evolving customer preferences, such as medical equipment, computers, and pharmaceuticals, also highly invest in operational SG&A, hovering around 80%. Additionally, the investment component of R&D ranges from 40% to 90% across most industries, dispelling the notion that it's consistently 100%.

Furthermore, the study reveals variations in the useful life of R&D and operational SG&A across industries. By not considering 100% of R&D as investments and accounting for the shorter lifespan of operational SG&A, the study's estimates of capitalized intangible assets are lower than those in earlier research. Additionally, the study notes that the investment portions and useful lives of R&D and Operational SG&A vary across decades, indicating that they are not constant over time, even within the same industries.

Validating our methodology

We use two practical tests to validate our methodology. First, we show that high-minus-low (HML) factor-based value investing outperforms traditional methods using their modified book-to-market ratio.  HML is increasingly considered an important validation test for capitalized intangibles. We find that portfolios based on our adjusted book-to-market ratio demonstrate superior performance compared to the portfolios based on as-reported numbers and the uniform capitalization method. Further, we segment companies into two categories based on their market equity value: large and small. Notably, our findings indicate more robust results in the case of larger firms, surpassing both as-reported HML and mechanically adjusted HML.

Additionally, we analyze the data by decades, uncovering enhanced performance periods spanning 2001‒2010 and 2011‒2022. These specific decades coincide with the emergence of intangibles as a crucial production factor and the growing significance of knowledge-intensive enterprises in the economy, marking a notable shift from earlier decades. Moreover, our results exhibit greater strength within industries heavily reliant on intangible assets, including business equipment, chemicals, and healthcare, aligning with our initial expectations. Second, we demonstrate that our recalculated Tobin's Q predicts future investments more accurately.

A step toward better valuation

This research offers a more accurate picture of a company's intangible assets by departing from mechanical approaches and embracing industry-specific nuances. This approach benefits financial analysts and informs decision-makers and policy experts who recognize the importance of precise measurement for effective management. Understanding their true value becomes paramount in a world where intangibles continue to shape the economic landscape.