Franchise Quality Score: A Metric for Intangibles
The high valuations of Amazon, Facebook, Alphabet, Netflix, and other tech stocks can be puzzling — especially for value investors.
The prices of these stocks have skyrocketed despite valuations that are already exceptionally high based on traditional metrics like price-to-earnings (P/E) and price-to-book (P/B) ratios.
So what’s the explanation?
One argument we’ve been making for a long time is that these companies have made substantial investments in valuable intangible assets, but accounting rules require that these investments be expensed rather than capitalized. This depresses current earnings and book value and thereby inflates P/E and P/B ratios.
As we observed back in 2002 in “Intangibles: The Next Frontier in Stock Valuation”:
“Current accounting standards were first developed during the industrial era and were designed for companies that were engaged primarily in manufacturing activities. These standards have not kept pace in an increasingly services-based economy characterized by rapid technological and financial innovation. . . . Even though it is impossible to measure the value of intangibles precisely, it is essential for investment professionals to come up with a logical approach to incorporate intangibles into their decision making; otherwise they risk being relics in the age of information.”
Feng Gu and Baruch Lev lend further credibility to this argument. They present evidence that ever-increasing investments in intangible assets by firms are rendering old stock valuation models obsolete and demonstrate the need for new valuation frameworks.
We designed such a framework that captures the value inherent in intangibles. We call this proprietary metric the Franchise Quality Score.
So what is it, what’s its logic, and how can it inform stock valuation?
Background on Intangible Assets
Intangible assets come in many forms, with patents and brands among the more obvious varieties.
Examples of Intangibles
As we pointed out in 2002, the increasing importance of intangibles is a function of the economy’s transition away from manufacturing to a more service-oriented focus. Service-oriented businesses require less investment in physical assets than their counterparts in manufacturing.
The US Economy’s Transition from the Industrial to the Information Era
Source: US Bureau of Economic Analysis
At a more granular level, Gu and Lev observe that corporate investment in intangible assets has increased from 9% of national gross value added (GVA) in 1977 to 14% in 2014. Investment in tangible assets, by contrast, has declined from 15% to 9%. This trend has exacerbated the impact of the inconsistent accounting treatment that intangible and tangible investments receive.
This means that accounting data are accurately capturing increasingly irrelevant information while missing what’s important. So what is being captured by accounting data and what’s being missed?
Incorporating Intangible Assets into Stock Selection
Three factors make integrating intangible assets into a coherent stock-selection framework particularly difficult:
- Disclosures about intangible assets are neither robust nor standardized.
- Valuation techniques for intangibles are primitive.
- Intangibles vary by industry, which makes it hard to compare two stocks with two different types of intangibles.
To overcome these obstacles, we focus on the “benefits” that intangibles provide rather than the intangibles themselves. For example, patents create high barriers to entry, and while they are not common across all industries, just how high barriers to entry are can be evaluated for all sectors. Likewise, valuable brands can confer pricing power on brand owners. But again, though brands are not critical across all sectors, we can measure the degree to which certain companies enjoy stronger pricing power because of their brands or other relevant factors.
We created the Franchise Quality Score based on our assessment of the most common benefits that intangibles offer. We define Franchise Quality as the ability of a firm to consistently and repeatedly earn excess return — i.e., return on capital in excess of its cost of capital — without inviting competition that would eliminate that excess return.
We calculate the score by assigning a value to eight component factors on a scale of 1 to 5. Of course, scoring the various factors on such a scale might seem arbitrary and subjective, we find applying specific criteria helps make the scores reasonably objective. These eight components are designed to answer two critical questions:
- How attractive is the business?
- How well is the business being managed for long-term success?
How Attractive Is the Business?
How Well Is It Being Managed for Long-Term Success?
We derive the composite Franchise Quality Score from this framework and apply it as an independent variable in a regression model that uses valuation, quality and growth factors to identify undervalued stocks. Our approach bears some similarity to Michael Porter’s Five Forces framework for competition within an industry. Both attempt to distinguish the good businesses from the bad.
Evaluating the merits of a stock in light of its valuation, quality, and growth characteristics is not only logical but also mathematically consistent with the discounted cash flow (DCF) approach to stock valuation.
Reconciling the Franchise Quality Valuation Model with Traditional Models
Below is a simplifed example of a stock valuation model based on linear regression that includes the Franchise Quality Score.
P/E = α + β1 (Franchise Quality) + β2 (Growth Rate) + e
In its functional form, this model — Equation 1 — can be rewritten as:
P/E = fn(Franchise Quality, Growth Rate)
Based on this model, the P/E multiple that we should be willing to pay for a firm depends on two key considerations: Franchise Quality and Growth Rate. It’s worth comparing this model to the gold standard of valuation, the DCF model. One example of such a model is the dividend discount model.
Dividend Discount Model
P = D / (k- g)
By rewriting dividends as earnings multiplied by the payout ratio, we get:
P = (E * Payout Ratio) / (k – g)
Dividing both sides of the equation by E, we derive the following equation.
P/E = Payout Ratio / (k – g)
By making the simplifying assumption that the payout ratio is constant, the above equation can be written in its functional form, which we’ll call Equation 2:
P/E = fn(Discount Rate, Growth Rate)
Compare Equation 1 and Equation 2. Both models demonstrate that the P/E ratio of a stock should depend on two factors, one of which is the growth rate. Where the two models differ is on the second factor. Should it be the discount rate or the Franchise Quality Score?
Think about it: Both the discount rate factor and the Franchise Quality Score attempt to capture the risk dimension. The discount rate is an estimate of risk. The Franchise Quality Score measures risk with intuitive factors derived from the fundamental building blocks of businesses.
Firms with high Franchise Quality Scores are less risky than their low-scoring counterparts because they are more likely to maintain and grow their earnings regardless of the economic environment.
Capturing intangible assets in stock valuations is a difficult task. Absolute precision is impossible. But the perfect should not be the enemy of the good. These intangible assets cannot be excluded from valuations. Even a basic, logical attempt to incorporate intangible assets is better than none at all.
It is the only way we can hope to see the complete mosaic of stock valuation.
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All posts are the opinion of the author. As such, they should not be construed as investment advice, nor do the opinions expressed necessarily reflect the views of CFA Institute or the author’s employer.
Image credit: ©Getty Images/FrankRamspott