Hello everyone, I'm Terry Today I'm going to talk about Palantir, which is called Palan in Chinese I mentioned it many times in my previous videos I started to build up quite early Then I posted a live on IG telling everyone that I was continuing to increase the number of shares Palan is a pretty big share of my current stock investment It should be close to 10% They just released the second quarter's financial report two days ago The financial report is really beautiful After the announcement, the stock rose by about 12%
The second quarter's financial report this year should be called triple wins Triple Bits or Triple Play Triple Bits means that the top line, bottom line, and guidance are all super預期 Let's take a look at the top line numbers The second quarter's expected annual revenue for the top line is $65 million
The actual revenue is more than $670 million, nearly 4% higher than the expected value. The bottom line is that the expected revenue per share is $0.08, and the actual revenue is $0.09, so it exceeds the expected 10%. Next is Guidance. The company's customer base increased by 41%, of which 83% of American commercial customers. The annual revenue expected of the entire year was also between $2.680 million and $2.690 million, up to $2.740 million to $2.75 billion.
This is what we call Triple Play or Triple Beats. Why is it so good? I mentioned in my previous video that Lampar is like a long-lost giant. It's only been a few years since it started to spray. They actually started doing AI and big data engineering 20 years ago. They have been working for the US defense and intelligence agencies. If your clients are government, the government's contracts are actually very stable. And very dependable. But it's hard to become an explosive.
Until 2018, they started to make money in the business market. They target enterprise users. Why is it so successful? Mainly because all the big companies have been transforming to AI in the past year or two. So they have strong needs. But it's different from other companies. They have been doing AI for several years.
But this is a good opportunity to bring the value of the product to the enterprise. Of course, I think the chat GPT has half the credit. Without the chat GPT moment, AI's reputation would not have been so big. I guess Panentier will not have so much attention now. Let's take a look at Panentier's five analysis indicators. The highest one is the value side, which has 5 points. The trend side also has 3 points. Let's see why the value side has 5 points.
There are two main points here. The first is the growth of revenue stability. The second is the abundance of revenue cash flow. We can see that the annual growth rate of Pioneer has been climbing since the second quarter of last year. Note that this is not the annual income, but the annual growth rate. This time point is just after they released the AIP. There is a clear trend in the growth rate of revenue. I told you in the previous video about AIP.
I think it's a product that turns the tide of the Pionteer's fate. I'll talk about the details of AIP later. The cash flow of their business is $4 billion. Basically, there is no debt. This is really great. It means that they have enough cash flow. Can let them go through any economic cycle Let's take a look at the value history score on Growin. Since October last year, every share
is the 16-dollar price. After that, there will be a 4-point value score. Although it was still at 16-dollar peak at the beginning of this year, but the value has gone up to 5 points. This generally means that it is a pretty good opportunity to enter the market. I bought a lot of it myself at that time. Let's take a look at the trend index. The trend is now 3 points, because the price is still in a stage of up and down. So in the short term, there should still be some good buy-in opportunities.
Since Palantir opened its AIP service last year, more than 1,000 companies around the world have completed their bootcamp. What is AIP? You can imagine it as an AI work system. It can help companies integrate all internal and external data, provide various AI models and algorithms, and make these analyses and reasoning more visualized for decision-makers. At the same time, it can also help companies to automate a lot of work processes.
I know these sounds a bit abstract. Let's take a simple example. I used to study Management Science in college. There is a classic problem in management science. How to optimize the inventory of retailers. For example, retailers like Costco and Jollibee need to ensure that there is enough inventory at each location. You can't say that your customers come to your store to buy things and then you buy them all. But you can't have too much inventory.
Because a lot of things can't be stored for too long And all the warehouses are one of the costs So in the past, these companies and retailers They will need to hire some data analysts And industrial engineers to help them to continue the optimization of storage These jobs are very manpower-intensive And it's not easy Because you need to integrate sales data from various departments Storage data and sales activities
and seasonal needs. These all need to be considered. Some companies do better, they will have a specialized team to integrate these data. You also need to develop this data pipeline, to invite software engineers or data engineers to do these things. They are all very cost-effective, especially in the United States.
AIP is a perfect system that allows companies to optimize their operations with AI to automatically integrate all data and use large models to do quantitative analysis. When AIP is integrated into the system, you can save the human resources of these departments and allow AI to replace the artificial intelligence to do these things. AI output will be more accurate and efficient. The purpose of AIP's bootcamp is to allow companies to see the results of optimization in a short time.
You need to know that most enterprise SaaS software especially for these super big companies need to be integrated and these millions of license deals need to be signed and it takes a long time. Then the AIP's bootcamp can be closed in a few weeks to a month. For example, here are some examples of customers. Japanese Fushiton. They said that they established a warning system
and the storage control system, the transformation, in three months achieved a cost reduction of $9 million per year. This is typical of when companies successfully put AI into the system and can achieve efficiency. Of course, most companies are not able to develop their own AI system. So Palantir turned this system into a service to help companies transform and start to optimize their operations with AI. This will also slowly replace the work of many companies. AIP plus Palantir and other products can be applied in various areas.
including the industry of aviation, cars, construction, energy, banking, insurance, etc. Any field you can think of can be optimized with AI. I think it's like the past 20 years, companies will invest a lot of money to develop internal software, to automate a lot of programs, reduce human costs, and achieve the overall optimization effect. I think Pioneer will help companies to reform in the next 20 years. Through AI and big data models,
to further optimize their operations. Let's take a look at what kind of contracts they sign with their clients. They signed 96 deals in the second quarter. Each deal is over $1 million. 27 of them are contracts that cost more than $10 million. Although the number of clients is not that large, each contract is worth millions of dollars.
Why is this SaaS model so great? First of all, customers are all large companies. When the product of the company starts to provide value to the company, the user's year-end will be very strong. Because these customers and these companies know that if they want to change a supplier, the cost of spending is too high. So in the future, it's not just a simple price war, you can grab the customer. I think Enterprise AI will be like this in all industries in the future. A company will take up a large part of the market share.
Because for big companies, they need the best AI and software. It's a bit like when I use Mac, I won't change Windows even if it's cheaper. And if other manufacturers want to compete, they have to find a way to prove their products are more competitive in a short time. I think this is very difficult. Unlike the Chet GPT we are using now, I can change it at any time with an LLM.
So we can see that Pioneer's Net Dollar Retention in the last quarter has a 114% return. I think it's like why many big companies are still using Windows systems. Because you can't leave this ecosystem, all tools have been provided by Microsoft for decades. I think the future AI system will also have similar monopolies. Of course, I know that not only Pioneer is doing this, but also many companies are doing similar things.
But the success of Palantir is mainly because they found a way to quickly reflect the value of their software, plus their AI and automated technical base. Another interesting thing is that they put this "Raw of 40" picture on the report. This is called 40% of the law.
The main purpose is to measure the health of a SaaS company. Its algorithm is to calculate the number of growth rates plus EBITDA profit rate. If this number exceeds 40%, it means that the company has achieved a good balance between growth and profit. Of course, the higher the number, the better. If it is lower than 40%, it means that this SaaS company may have over-reliance on growth and sacrificed profit.
or the growth that is affected by insufficient profits. We can see that since the second quarter of last year, the number of people who have been lazy has been rising. Let me talk about my own opinion. I won't sell my time in the short term anyway. I know that the market has been fluctuating a lot in the past few days. Many people have already taken out of the market with cash. And now the mood is also a bit nervous. Some are afraid of economic downturn. Some are afraid of the third world war. Some are afraid of unemployment rate. But because I am a long-term investor, so for me, if I break the stock, it is a good opportunity to increase the business.
Of course, I won't continue to add more money to this price range. So it's already over 20 yuan. I actually have about one-fourth of my total assets on cash. If you follow my IG, you should know that I haven't added money for a long time. And every time I add money, I will post a live video to share with you. So far, I have kept so much cash. The main thing is that I think there will be a big fluctuation in the next few months. For long-term investment, fluctuation is an opportunity to add more money.
And I think these are not investment suggestions, I think the Pioneer has just started flying. I think it's a bit like leaving the runway. I think their future potential is more than ten times the market value. You want to be a company that starts to optimize with AI, the competition between companies becomes who can integrate data and make automatic decisions the best. As far as I know, there is no company that can compete with Pioneer. Of course, these are not investment suggestions, but my own thoughts.
So it becomes that if the company wants to have competitiveness and survive, it must use the same system. This will become the strongest protective box of Pioneer. In addition to Pioneer, we can also use Goring's US stock selection system to find high-quality companies. First of all, in the part of the block, because I am familiar with technology stocks, so I choose the technology block.
For the market value, you can choose medium or large stocks Because Pioneer has a market value of $6 billion, it belongs to large stocks So we choose large stocks here Let's try it out If all indicators are more than 5 points, what will happen?
Ok, there is no such thing. Let's look at the top 3. Mastercard and SS&C Mastercard is indeed a good company. You can see its stock performance in the past 20 years. Because I want to find a profitable growth company, I can turn off the stock market. I can also turn off the bargaining chip. The break is not so important because I want to invest for a long time.
If we fill in the value and trend, there are two companies here, FICO and EA. If I want to find all the highest value investment opportunities on Goring, I can turn off all of them. Then the value is pulled to 5. You can see that these are the companies that have given the highest value on the Goring platform.
There are companies like Meta and McDonald's. For example, I want to summarize the performance of Pioneer's shares in the past four seasons. I can directly ask the WinWin GPT on Goring. It will directly help me summarize and draw the picture. It is very convenient for research. You can also ask him, for example, is the share price of Pioneer expensive now? He will go to the Goring database to grab the data and summarize it. Make a comparison with companies in the same industry.
and give you some summary analysis and conclusion. This LLM is trained to answer any financial related questions. So the answer is much more professional than other general LLM. And now there is also a function of push notification on the national media. You can design some strategic signals.
If you have the conditions to set it up, it will email you. Growring is a new company that develops quantitative analysis and large-scale software software is mainly to provide customers with a simple interface to help some newbies and usually busy working people like myself to make investment decisions tools Just like the AI shareholder analysis we just saw, stock selection, strategic push notification, and win-win GPT Now, the subscription basic and advanced link program has a discount of 88% If you are interested, you can take a look I will link the information column under the video
Alright, that's it for today's video. Thanks to Warren for sponsoring this video. See you next time!
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