What is the bull case here, and can it be justified by the financial results to date?
The business is currently slightly unprofitable but claims to have a big data advantage that creates a highly scalable business. [See here:
https://investors.stitchfix.com/static-files/2b87b6c8-0ca7-4c48-a8de-b024ac0da5ef] If that were true, margins ought to expand as the company grows. But the reverse appears to be happening on every metric. For example, SG&A ex-advertising has increased from 32% of revenue in 2016 (and in 2018 for that matter) to 37% of revenue in 2020, despite sales growing from $730 million to $1.7 billion. [Note that I refer throughout to fiscal years, which end in July.] Drilling down a bit more, from 2018 to 2020, SG&A ex-advertising increased from $389.9 million to $637.2 million, or about a $250 million increase. The 10-Ks say that the increase primarily comes from additional compensation for data scientists and engineers. But over those two years, the company added only 60 engineers and 45 data scientists. Those 105 additional employees can’t be the main driver of $250 million of increased costs.
I could not find any detailed breakdown of SG&A in the 10-K. But they did disclose that from 2018 - 2020 they added at least 1,000 additional “stylists” and fulfillment employees. Importantly, the work of these employees does not appear to be nearly as “scalable” as the work of a data scientist. Instead, they appear to be much more of a variable cost, unless the stylists are eventually replaced by artificial intelligence.
Advertising expense also appears to be becoming less efficient as the company has to push harder to identify new customers. I didn’t see disclosure about churn, so here are the numbers on total advertising spend and year-over-year change in active customers:
2016: $25 million; 807,000
2017: $70.5 million; 520,000
2018: $102.1 million; 548,000
2019: $152.1 million; 494,000
2020: $167.8 million; 286,000
Every year they are starting from a larger base and thus larger absolute churn, so they have to spend more absolute dollars each year just to stand still. But I don’t know the churn numbers, so I cannot determine the number of “new” customers and the unit economics of each. On their face, however, those advertising numbers suggest to me that for several years the company has been finding it harder and harder to grow efficiently.
So, we have a company that is around breakeven or slightly unprofitable as things stand. The company would have us believe that scale will solve that, but the line items that ought to be scaling (SG&A ex-advertising) are going in the wrong direction and advertising spend appears to be getting less efficient. Moreover, in the company’s own “long-term model,” it projects ~11% EBIT margins, essentially all of which it projects to come from SG&A ex-advertising going from 37% of revenue to 25% of revenue, exactly the same line item that, as discussed above, appears to be going backwards and appears to have significant components that are not particularly scalable. [See slide 18 of the presentation linked to above]
Despite all of that, the stock soared to what I believe is an all-time high today because they had a good quarter of adding new clients (but no margin improvement) and a rosy revenue projection for 2021. So, I’m back to where I started: Can the existing public information justify paying $50/share for this? If so, what am I missing?