After soaring 147% to reach an all-time high of $147 per share, Alteryx’s stock price has been on a freefall and is currently trading around $98. Alteryx (AYX) fell victim to the cloud sell-off, which happened as the result of nose bleed valuations popping due to heightened recession fears. Other SAAS companies like Slack, Zoom Video, and Twilio have been declining as well, and so far with no end in sight.

What’s interesting is that the Alteryx stock price declined even as the company did everything right. In other words, when a growth company in a hyper growth sector has elevated valuations, it’s typically priced to perfection. On November 1, the company released its quarterly earnings that historically have exceeded the consensus expectation for perfection.
Revenue came in at $103.4 million, which was up by 65.20% YoY same-quarter while GAAP EPS came in at $0.24. The EPS was $0.15 higher than the consensus estimates. The company also raised its outlook. It expects revenue to be between $389 million to $392 million. This represents an annual growth rate of between 53% 55%. This guidance was higher than the previously guided range of between $370 million and $375 million. It also raised non-GAAP operating income.
To make it more interesting, what we know about Alteryx is that they tend to be conservative on guidance, so a raise of this level should’ve at minimum instilled new buying pressure. Yet, the AYX stock price fell the day of the announcement, and has been treading water ever since. The price action in Alteryx stock price is a lesson in the power of sentiment, and once it shifts, no amount of countervailing news seems to change its course.
A retrace for growth stocks producing triple digit returns is healthy and inevitable. The ultimate question is due to recession fears. In a recession, obviously, the expected growth trajectory for AYX and other cloud based companies will be interrupted, pushing prices down much lower. Sentiment can shift irrationally, and right now the emotional trend is down.
However, one factor I’ve noticed that has led to undue pressure for AYX is that it appears that the market does not have a good understanding of what Alteryx does, which has allowed for price dislocations. I think it’s crucial to understand the space it operates in as well as the advantages it has over competitors, so that when the trend does change, you can hold it with confidence.
Alteryx is a company that offers data science and machine learning services. Their particular niche in the tech ecosystem involves providing the best tools and data to companies that specialize in business intelligence and other related services. In short, their services are complementary to those businesses, not their competition.
Also Read : How to pick long-term stock winners in cloud computing
Despite this, investors compare AYX with companies that are either not its peers or are not in direct competition with. Most Alteryx stock analysts have compared Alteryx to companies like Tableau, which was recently acquired by Salesforce. In fact, Alteryx’s stock price declined when Tableau announced its new product, Tableau Prep, which signals how much the consensus misunderstands AYX.
I believe this is a mistake because, as I’ve mentioned already, Alteryx specializes in data science, machine learning and analytics, whereas Tableau is primarily a business intelligence company that also handles data visualization. In reality, Alteryx does not compete with Tableau. In fact, the two companies are partners. You can see this on the Gartner’s magic quadrant for Business Intelligence solutions here. The company is not there, and this is because Altryx is not in the business of using data to provide visualization purposes.
Contrary to what many people believe, there is a key difference between data science and Cloud Business Intelligence (BI). A good Alteryx stock analysis needs to differentiate between data science and BI. BI is simply a process of analysing past data. Data Science, on the other hand, uses multiple sciences and sources of data to help make future predictions. In short, data science will help automate most of BI tasks in future.
A good example of data science at work was what the New York Times (NYT) reported in 2012. A Target customer went to complain that the company was sending baby and mother care coupons to his home. He later found out that his daughter was pregnant. This is the kind of problem that data science can handle but BI cannot.
Alteryx is more than a business intelligence platform. It is a data science and machine learning platform that provides more useful results to its companies. This is evident on the Gartner quadrant that is shown below, which shows companies that the company competes with.





