Insights

How to Value Thematic Strategies

  • This year, more than $30 billion has flowed into thematic ETFs.1
  • With all this interest, due diligence on the underlying exposures is necessary.
  • Yet, which valuation metric is most appropriate to use when trying to formulate a fundamental view on areas of innovation?
Head of SPDR Americas Research

Investor interest in thematic ETFs that seek to provide exposure to firms at the forefront of innovation in our new economy continues to surge. More than $30 billion has flowed into thematic ETFs— strategies focused on such areas of innovation as: Future Communication, Clean Energy, Smart Transportation, and Cloud Computing.

With all this interest, due diligence on the underlying exposures is necessary, as many of these strategies deviate from owning just large, mega-cap tech stocks and venture into smaller firms that are not as well known. One of the areas of analysis that has routinely come up is valuation, and in this blog, I will walk through which valuation metric is most appropriate to use when trying to formulate a fundamental view on areas of innovation.

Fundamentally Thematic

Before we delve into the intricacies of valuation multiples, there is one caveat to mention: many of these strategies are within the “growth” category. In fact, out of the 206 funds we have identified as thematic, 147 have more than 50% allocated to “growth” stocks.3 Given that traditional growth stocks are trading above the 90th percentile across price-to-book, price-to-earnings, price-to-next-12-months-earnings, price-to-sales, enterprise value-to-sales, and enterprise value-to-EBIDTA,4 it would follow that these nontraditional growth stocks are also likely to end up in a similar “high-valuation-multiple” place.

But what metric to use? To answer this, we need to understand the type of firms typically found within these strategies. When performing a security look-through analysis on the funds, we find that many are concentrated in Consumer Discretionary, Health Care, and Information Technology sectors, as shown below. This is important, as the firms within those three sectors typically have a large amount of intangible assets on their balance sheets. And price-to-book is not the best metric to use when a firm has a high amount of intangible assets,5 as those assets are usually understated in a firm’s book value, and, as a result, that could inflate a firm’s price-to-book measure. However, one advantage of price-to-book is that it can be used with firms that have negative earnings – a trait that may be valuable in this exercise. Despite the latter feature, the high presence of intangibles leads to price-to-book not being a suitable metric for thematic strategies.

Average Sector Weights of Thematic Exposures

Earnings-related Issues for Thematics

While expected three-to-five-year earnings-per-share growth for the firms found within our thematic classification of “Broad Innovation” funds6 is expected to be 19.77% — versus 15.02% for the S&P 500 — some of this growth is coming off from a very low — and in some cases, negative — base. In fact, out of the 1,310 unique securities held across the 24 funds classified as “Broad Innovation,” 25% of the firms have a negative trailing 12-month earnings per share.7 Now, the reason why some of these firms may not yet be profitable is that they are still in the early/entrepreneurial stage of their firm’s maturity cycle. The median market capitalization of the firms within this small subset of thematic exposures (Broad Innovation represents just 12% of the 206 funds we classify) is only $7 billion — compared with the $45 billion median market capitalization of firms in the S&P 500.8

There are two issues, however, stemming from the dynamics discussed above if we use earnings-related metrics (e.g., price-to-earnings (P/E), price-to-next-12-month-earnings, and enterprise value-to-EBITDA). First, negative earnings firms must be removed, and that provides an incomplete view of the exposure, as not all firms are being analyzed. And those firms must be removed in order to not skew the result (i.e., negative P/E values would tamp down the high P/E values when performing an average calculation for a portfolio). Second, it requires the use of a weighted harmonic average9 to account for outliers, given that small earnings-per-share figures (e.g., $0.10) can result in P/Es well north of 100 – in fact, out the 1,310 securities mentioned earlier, 23% have a P/E over 50.

Using a different approach is not the problem, and in fact, when analyzing ratios, the weighted harmonic calculation is the preferred method. However, the problem does lie in that many just apply a straight-line average, and this is incorrect — and it is even more incorrect when there are outlier figures. Consider the example below of a three-stock portfolio and the different results when a straight-line or normal-weighted average is used instead of a weighted harmonic average. The firm with a P/E of 80 has a larger impact in the straight-line and weighted-average figure. Meanwhile, in a harmonic approach, equal weight is given to each data point and outlier impact is reduced.

Simple Three-Stock Portfolio Example

Given the presence of negative earnings firms, any multiple that has earnings-related information in the denominator should, therefore, likely not be utilized. This holds true for the price-to-earnings-growth ratio (PEG) as well, given that it still relies on earnings in the denominator — even though it does normalize the ratio by expected growth. Yet, if someone does steadfastly want to use P/E or another earnings-based figure, ensuring that it is a weighted harmonic calculation is extremely important.

No Earnings, but Revenue, Hopefully

While some of these innovative firms do not have earnings, hopefully they have sales/revenue. As a result, using a sales-based metric may be more optimal. One issue with revenue, however, is that sometimes, it can be hard to make comparisons between firms as a result of different margins. High-revenue, high-margin businesses may have higher stock prices than high-revenue, low-margin businesses as a result of the former’s ability to turn sales into earnings.

There are two potential sales-based metrics available to investors: price-to-sales and enterprise value-to-sales. The latter, in my opinion, is the most appropriate and comprehensive view of a firm’s operations, as enterprise value (EV) accounts for both the firm’s equity value and amount of debt.10 As a result, it will account for the level of leverage/debt being utilized by the firm to generate revenue, and be more comparable across industries, given it is capital structure agnostic (i.e., high-debt industries typically look cheaper on a price-to-xyz basis given their debt isn’t captured in the metric, but under EV, the debt is taken into account).

A list of the metrics — and the strengths and drawbacks of thematic valuations — are shown below:

Metric

Strengths for Thematics

Drawback for Thematics

Price-to-Book

Can be used on companies with negative earnings

Not appropriate for firms with a high level of intangibles

Price-to-Earnings

Accounts for cash flow after expenses and what a firm earns that can be paid out to shareholders or retained for growth

Impacted by capital structure, not applicable for firms with negative earnings

Price-to-Earnings-Growth

Accounts for metrics like P/E, as well as growth expectations

Impacted by capital structure, not applicable for firms with negative earnings

Enterprise Value-to-EBITDA

Capital structure agnostic and accounts for cash flow

Not applicable for firms with negative earnings

Price-to-Sales

Controls for negative earnings firms

Impacted by capital structure, not applicable for comparison across industries with different margins

Enterprise Value-to-Sales

Capital structure agnostic and controls for negative earnings firms

Sales not applicable for comparison across industries with different margins

Source: SPDR Americas Research

To put this into practice, the different metrics for an aggregated portfolio containing all 24 Broad Innovation funds compared with the broad S&P 500 Index are illustrated below. As shown, most of the average figures for the Broad Innovation category are higher than the broad market — as would be expected. However, when it comes to enterprise value-to-sales, the skew is much tighter, given the dynamics discussed above. Yet, all of these multiples are trading below the levels we see in traditional S&P 500 Growth stocks, while broad-based innovation funds are expected to grow earnings at a greater rate over the next three to five years (19.50% vs. 17.77%).11

 

Price-to-Book Ratio (P/B)

Price-to-Earnings Ratio (P/E)


Price-to-Next-Twelve-Months-Earnings (P/E NTM)

Price-to-Sales Ratio (P/S) Enterprise Value-to-Sales (EV/S) Enterprise Value-to-EBITDA (EV/EBITDA)
Average Broad Innovation 4.23 28.24 24.78 3.32 3.99 16.02
S&P 500  4.45 24.18 21.70 3.04 3.39 14.73
S&P 500 Growth 10.67 34.48 28.10 5.81 6.12 19.27
Difference to S&P 500 -5.0% 16.8% 14.2% 9.0% 17.6% 8.8%
Difference to Growth -60.4% -18.1% -11.8% -42.9% -34.9% -16.9%

Source: Bloomberg as of December 3, 2021.

Ultimately, these exposures are indeed trading rich. But the multiples are elevated to the broader market as a result of the high expected growth estimated and the potential for future growth opportunities as a result of the behavioral changes.

Thematic Exposure Analysis Key in 2022 and Beyond

The inflection point from COVID-19 in our global society is likely to lead to an increasing need for innovative technologies that allow for more contactless interactions, advanced medicine, digital connectivity, and intelligent infrastructure.

The increasing number of options available to investors to participate in these next-generation trends is one of the reasons that we developed a framework for classification as the first step in due diligence. Once you define the universe, it’s important to understand the construction approaches within a certain exposure. And for investors trying to ascertain valuations, amongst the sea of multiples available, enterprise value-to-sales may be the most appropriate.

For more insights, continue following the SPDR Blog and check out our innovation page.