Nobody
wants to overpay for an investment, but in many cases ‘cheap’ stocks are cheap
for a reason and ‘expensive’ stocks are expensive for a reason. Securities with
low valuations may have minimal growth prospects or structural concerns, while
those trading at elevated multiples may be pioneering revolutionary
technologies, products, or services. Take for example the top 5% of companies
in the S&P 500 by expected sales growth over the next 12 months. While
these high growth firms are expected to accelerate their top line revenues more
than four times faster than the median level for the S&P 500, they also
come with elevated valuations. Price-to-earnings, price-to-sales, and
price-to-book metrics are all more than double those of the median S&P 500
firm.
Of
the top 5% fastest revenue growers, 60% hail from the more innovative
Information Technology and Communication Services sectors, including familiar
FAANG names like Facebook, Amazon, Netflix, and Google (Alphabet).1 By contrast, in the
group of the bottom 5% – those with the slowest expected 12 month revenue
growth – only 8% come from IT or Communications Services, with many categorized
as Industrials, Energy, and Utilities. And while their valuations are
noticeably lower than the S&P 500 median, so too is their growth rate,
coming in at a negative value, implying shrinking businesses.
When
looking at the firms at the forefront of disruptive themes, they, like the top
5% bucket, often possess both high growth expectations and high valuations.
This can spur questions from investors about whether the valuations are
appropriate for their expected growth, or if they are too high to justify an
investment. Below we offer a few approaches and considerations to evaluate the
multiples of disruptive themes.
Don’t
Harp on Earnings-based Multiples
Some
themes can show unusually high, or even negative price-to-earnings (P/E) ratios,
particularly themes early in their adoption cycles. High growth companies
simply are not trying to generate earnings – at least not
during periods of rapid expansion. While this may sound counter-intuitive,
imagine a firm that develops cutting edge artificial intelligence algorithms
and expects to generate $10 million in free cash flow. The firm could
prioritize booking that $10 million as earnings and return the money to
shareholders as a dividend or stock buyback, or retain the earnings for future use.
Alternatively, it could prioritize growth and spend the $10 million by hiring
teams of engineers or sales people. In the fast-moving world of disruptive
companies, most would choose to invest the $10 million back into R&D or
sales to further develop their product or grow their market share as they race
to beat their competition. They are prioritizing growth over profitability,
usually with the blessing of their investors who demand rapid growth.
Recent
IPOs (and failed IPOs) of popular startups have brought renewed attention to
profitability in the high growth space. A common explanation for these failures
is that the firm’s lack of profitability challenges the sustainability of their
business model. In light of these developments, we believe it is important for
investors to accurately distinguish between disruptive firms that are choosing not
to be profitable because they are investing in a defensible business versus
firms that are unable to be profitable due to a flawed
business model. One example of this is in the genomics space, where high
R&D costs mean many leading firms in the space often lose money until they
develop and receive approval of a successful drug. Just because they are not
profitable currently, does not mean their business model is unable to capture
positive earnings in the future.
Looking
to Sales-based Metrics
Rather
than analyzing earnings-based valuations, a preferred technique is to consider
sales-based metrics, such as the price-to-sales (P/S) ratio. While high growth
firms may care little for profitability during their early stages, their
investors and management teams do focus on adoption: how many people or
businesses are implementing the firm’s new product or technology. Sales data
can provide useful information on the speed and stage of this adoption. For
example, by looking at total sales and sales growth, one can estimate where a
product may be on the adoption curve. If total sales are low, but growth is
very high, it is likely in the earlier stages of adoption than if total sales
are large, but growth is flattening.

But
how does one know what a ‘fair’ price-to-sales ratio is for a high growth firm?
One method to analyze these figures is to divide price-to-sales by 12 month
forward expected sales growth. This is commonly implemented with the
price-to-earnings ratio, which becomes the ‘PEG’ ratio when divided by growth.
When dividing price-to-sales by growth (PSG), one can get a better sense of not
just how much they are paying for each unit of sales, but how much they are
paying for future sales growth. All else equal, a firm with the same
price-to-sales ratio, but higher growth expectations, would have a lower PSG
than a firm with lower growth expectations, making it more attractive from a
growth-adjusted valuation standpoint. A modified version of this approach is to
use enterprise value (EV), rather than price (P) in the ratio, which takes into
account a company’s debt, punishing those with high leverage.
As
depicted in the table above, there can be a wide range for PSG or EVSG values
across themes. While a low PSG number may imply that a theme is relatively
inexpensive compared to its growth prospects, other factors can play an
important role in determining near term returns, such as changes in sentiment,
risk, and geographic and sector tilts, among others.
Projecting
Growth
While
price is known, and sales is a relatively straight forward accounting
statistic, predicting future growth can be a challenge. Data providers, like
Bloomberg, aggregate wall street analyst expectations to publish a single
expected growth estimate, which is what is shown in the table above. These data
points can be useful as it effectively crowd-sources growth expectations from a
variety of analysts, each incorporating their own projection methods. However,
many foreign and small cap stocks may not have adequate, or any, analyst
coverage and therefore growth forecasts. Further, analysts can often anchor
their growth expectations based on other analyst reports or previous sales
figures.
Given
these obstacles, some investors may take it upon themselves to craft their own
growth forecasts. One method to project growth is to calculate a technology’s
total addressable market (TAM) and to analyze how much of that market has
already been penetrated. For example, a very basic calculation would show that
the 2 million electric cars sold in 2018 represents 2.9% of the total 68.7
million cars sold that year.2 Using techniques like linear
extrapolation or a Bass Diffusion Model can help analyze how quickly the
remaining addressable market could be penetrated. More sophisticated models
would incorporate other considerations as well, such as changing demographics,
the impact of ride-sharing, and the potential for alternative forms of
transformation. If analyzing individual companies, one must also consider their
change in market share, as early market leaders often lose market share as
competitors catch up. When looking at a basket of stocks that is representative
of an entire industry however, this step is less necessary as changes in market
share are zero-sum among the peer group in the basket.
Conclusion
Disruptive
companies tend to look expensive on traditional valuation metrics compared to
slower growth areas of the stock market. But investors in high growth firms are
not paying a premium because they value today’s earnings; they are
future-focused, caring about the economic potential several years from now. As
such, we believe considering trends in sales, adoption, and future growth are
more relevant to valuing disruptive companies in the early stages than more
traditional metrics like earnings.
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