Ahead of down earnings call, Sonos' alternative data trends are all up
Our friends at CNBC mentioned something very intriguing that sparked our imagination. Could Sonos ($NASDAQ:SONO) be the next big acquisition for a tech giant like Apple or Google? There's certainly enough reason for investors to be down on Sonos, but we think our data shows why the audio company could be a bounceback candidate and an appealing M&A target for someone.
Sonos, Inc. is expected to report earnings on November 20. According to Zacks Investment Research, based on analysts' forecasts, the consensus EPS forecast for the quarter is $-0.21.
No matter what happens with the stock, the number of employees has been going up since the start of the year. After a slight dip in the last few months of 2018, the headcount is up by 11% since January. That's something to be optimistic about, if you were concerned with the doom and gloom of a twenty-cent decrease in the share price this quarter.
Rumors of Sonos' acquisition made the Facebook Talking About count skyrocket, which means people are interested in Sonos becoming a part of name brands like Apple. Putting that glossy white logo makes it more valuable, after all (see: Beats).
The number of user reviews for the Sonos apps on both the Apple App Store and Google Play Store has been growing steadily. That's only a problem if those ratings are negative, but that's not the case here.
Apple App Store reviews maintained a 4.5 for years, and the average rating for the Google Play Store is a solid 4.0.
It seems about every datapoint we find for Sonos is healthy and trending upwards, which is why the company is still so valuable to a potential buyer. Not that being purchased is the goal for any company, but if it's a member of FAANG, aka the four horsemen of big tech and the stock market, then that's an entirely different story.
About the Data:
Thinknum tracks companies using the information they post online - jobs, social and web traffic, product sales and app ratings - and creates data sets that measure factors like hiring, revenue and foot traffic. Data sets may not be fully comprehensive (they only account for what is available on the web), but they can be used to gauge performance factors like staffing and sales.