CloudL, to say Upstart is no better than payday loan is a claim that is not supported by evidence.
When I was doing my “Main Street” research, I came across posts on internet where people defaulted on their Upstart loans. Some of the people do have 30%+ interest rates - they took their money and proceed to put it in stock market or cryptocurrency, then lost it all. Then they defaulted on their loans. Yes, this is the type of person a loan originator should avoid no matter the interest rate. So there are borrowers that are 100% bad business.
For machine learning, however, you first need to collect data in real world before you can determine the quality of model. If they have never stepped into certain categories of subprime borrowers, they will have to “lose” some money before they can determine which parts of it are good businesses and which parts are bad. Machine learning models have to touch risk in order to manage risk. I’m fine with that.
On the other hand, I also saw people say “wow Upstart made a deposit in a day.” Or “Upstart’s interest rates are a lot better than I can get elsewhere.” Payday loans? Really?
One post that got my attention was lhdill’s
https://discussion.fool.com/hi-jonwayne-i39ve-been-a-lurker-on-t…
He says “maybe we should view it as a new product versus credit cards” and this seems to fit into the general theme of discussions about Upstart loans on the internet. I think capping the TAM for Upstart using Transunion figures, like wsm007’s post, makes no sense. My definition of a great company is one that knows how to expand beyond the clearly visible TAM.
Review my own investment thesis on Upstart
Owning it makes sense for me because
1 the most important: Rapid revenue growth. It is still a lot higher than everything I own besides Monday. I don’t own Snowflake even though I use they daily because I think it is still a nosebleed valuation and Google BigQuery has been catching up as competitor. I rank my portfolio percentage on revenue growth numbers.
2 Excellent management team. Paul Gu is the first exec in fintech that I saw that “gets” machine learning for business. I posted this on 11/18 and nothing has indicated change for me: https://discussion.fool.com/as-an-active-ml-practitioner-it-is-a…
3 Large TAM, though the auto may be smaller than I originally thought. I don’t think using the total loan size to judge the TAM for loan and housing is a good idea because they tend to have much lower interest rates, hence much lower take rates for the middleman. I would say they can be both a $1-10B revenue business for Upstart in North America at best. But still, they are clear targets for expansion, unlike some SaaS companies that have no other clear business line in sight (DDOG, AMPL. AMPL is early I’ll give you that. DDOG will not be a 200B company in its current form. Hardly 100B in my opinion.) and we have seen past failures (ZM)
4 Personally I have a much longer investment horizon for companies than many experienced member on the board. I am simply a lot younger and will be the market longer if you count from today. So I have more weight in “speculative bets” than pure high growth SaaS discussed here (like SQ, which also got pummeled for market emotion.)
To me, nothing has changed since the last earnings report.
I believe their business model is closer to payment processors than SaaS subscription. Once they partner with a company that provides inbound loan request, they take a percentage of the loan value, similar to GMV for payment businesses. I disagree that “they have to start from zero” for revenue. More lumpy, sure, but growth is growth.
On the other hand, based on the board’s teaching to sell out Upstart and only invest in SaaS is a reasonable way to restructure one’s portfolio. Especially if the logic is “I want a less complex portfolio.” I completely understand. But I am comfortable with my own decisions too. So I am happy to see the discussion here.
Why not research more?
JonWayne raised an interesting question: why did we hold large positions but did not look into delinquency rate? Truth is that I mostly look at revenue numbers and use that as the primary indicator for company performance, so I only restructure my portfolio percentages after ERs. I found other indicators to be too much of a noise for my daily life, where I would rather spend my day on increasing the earning power over my career. But I agree that one should always keep pulse on KPIs if possible. I actually didn’t know how to use KBRA before. Likewise, there are KPIs about SaaS companies that I likely have no idea how to discover either.
I am also disappointed to see the posts that are doing character assassination on valuable board members like JonWayne. It took some dozen posts before a few of us step in and posted the actual numbers. This board will only get better if we stop shooting the messengers and use objective facts to discuss high growth companies. There’s bystander effect showing here.
Final take
SaaS is generally viewed today on the board as “less complex” because it seems that you can mostly look at revenue growth and decide which ones are good and which ones are terrible. I tend to agree. Investing in Upstart may need more than that. I may be wrong in my evaluation with Upstart’s business but I am fine with letting the revenue number speak for themselves. If they are excellent, great. If they are terrible, then I will cut accordingly. But what I will not do is to get scared by the price action or analyst opinions and get out.