the companies that I'm buying right now are priced as if that isn't even there... So for my money, Oracle is a business that the market just got a little bored with... Like right now I'm accumulating it slowly, on weakness, in small pieces.
Contexto
“The companies that I'm buying right now are priced as if that isn't even there. Which brings me back to the company from the top of this video... So for my money, Oracle is a business that the market just got a little bored with... Like right now I'm accumulating it slowly, on weakness, in small pieces.”
when you're like me and you're buying Inodata, you are buying the right shovel seller... Well InnoData is the highest risk name on my entire list. And I treat it exactly that way. I have it as a very small position.
Contexto
“So when you're like me and you're buying Inodata, you are buying the right shovel seller... So how exactly do I play this? Well InnoData is the highest risk name on my entire list. And I treat it exactly that way. I have it as a very small position.”
this is a name that I hold with a little bit more conviction than most on this list... So I would rather own it while everyone else is just staring at the price tag
Contexto
“Of everything that I'm covering today, this sell-off is the one that makes the most sense to me. And that's okay because that's usually where I find better opportunity... So I would rather own it while everyone else is just staring at the price tag... this is a name that I hold with a little bit more conviction than most on this list.”
I'm going to start small and I add it on weaknesses. Letting the setup come to me instead of trying to chase it.
Contexto
“So where exactly does that leave me? Well on MassTech I'm waiting. I'm not rushing... So this is one where I'm going to start small and I add it on weaknesses. Letting the setup come to me instead of trying to chase it.”
I'll continue to buy more once it's convinced me that it's hit the floor.
Contexto
“This is one where I already own a lot of it. And I'll continue to buy more once it's convinced me that it's hit the floor.”
Transcrição Completa
[01:00:00:03 - 01:06:27:19]
Lucky for us, a couple of weeks ago, the market had gone on sale. The corrections hit,
and some of the best businesses in the country got marked down pretty hard. And a few of them have
already started to climb back up. So this window, it's not going to stay open for long. But there's
one that I want to start with. So this company has $638 billion in signed contracted revenue. Money
customers are already on the hook to pay. And the stock is still trading 57% below its high. So it
seems like the market is ignoring these receipts. Because this is exactly the kind of company that
I'm here to talk about today. So they're going to be best in class businesses that happen to
be on sale that Wall Street just kind of sort of got bored with. And I don't want to waste your
time. So hey, I'm Brian. If we haven't met before, I retired six years ago at the age of 46 after a
corporate career with Target and Amazon and being extremely smart with my investments. And now I
want to turn that hobby into something that I can at least share with you. Because having freedom
over your time, it's the best thing there is. Now before I just start rattling off names, here's
the one idea that makes this whole video make sense. Most stocks trade on a guess. Wall Street
estimates what a company might sell for the next year. And it prices that stock on that hope. So
the moment the market gets a little bit scared, it stops trusting that guess. And good companies
happen to fall pretty hard. But a few companies don't just trade on a guess. They trade on a
receipt of contracts. So when a business signs a customer to a multi year contract, that revenue
gets booked before a dollar of it is actually collected. That's money the customer is legally on
the hook to pay. And the companies that I'm buying right now are priced as if that isn't even there.
Which brings me back to the company from the top of this video. The one that's sitting on that
$638 billion of signed revenue. And it's Oracle. The database company that your bank is probably
running on. And here's why that number is the whole story. A year ago, Oracle's contracted books
at around $138 billion. Today it's $638 billion. And that's not a typo. It grew more than four
times over a single year. So to put $638 billion into perspective, that is roughly what Nvidia,
the company at the center of this entire AI boom, that's what it was worth back in 2021. So
that was their market cap. And Oracle isn't valued at that. That is just the contracts
that they already signed. Unfortunately, most of it came from just one deal. And it was
a $300 billion agreement to supply computing power to open AI. Over five years, which is about
$60 billion a year, roughly the size of Oracle's whole business today. So a single customer
is close to doubling the entire company. Now here's the other side, because there's a little
bit of a catch. To deliver all that computing, Oracle has to build the data centers first and
building, well, it happens to be pretty expensive. In fact, their construction spending went from
around $6 billion a quarter two years ago to roughly $16 billion a quarter now. So that's about
$55 billion across the entire year. And sadly, that type of spending completely flipped their
free cashflow negative to around $24 billion in the red. And it's a swing of nearly $60 billion
from where it was just two years ago. So it goes without saying that Oracle is spending an enormous
amount of cash today just to fulfill contracts that pay out over the next several years. Which
it then brings us to the real question. If Oracle is sitting on the biggest order book in its
history, why did the stock fall so hard from its high? Because a year ago, that open AI deal,
that's exactly what sent it to that high. When the deal was announced, the market added nearly $250
billion to Oracle's value in a single day. That happens to be its biggest jump since 1992. Then of
course the honeymoon phase wore off and then the mood completely flipped. Wall Street did the math
and they realized that close to half of that book leans on a single customer, open AI, which loses
money and hasn't gone public yet. And this is all happening while Oracle borrows to build for them
and its cashflow is now running negative. So the same $638 billion that was treated as an asset on
the way up suddenly got reread as a liability on the way down. So is that fall justified? Part of
it? Honestly, yes. If you're building on debt for who might not pay, that contract is only as good
as that customer. And I'm not going to pretend that the risk isn't real. But here's the devil's
advocate and it's almost absurd. The day before the open AI deal, Oracle was worth about $241 a
share before a dollar of this book even existed. And today it's down roughly 40% from that, even
after signing $638 billion in contracts that are sitting on top of it. So let's say we go ahead and
strip out open AI completely from the books. Even then you're still buying a bargain because you can
still buy this whole company for a lot less than what it cost before that deal ever happened. So
for my money, Oracle is a business that the market just got a little bored with at exactly the wrong
moment because they're really cheap on the sales that it's already made while it spends to lock in
the sales that it's about to Like right now I'm accumulating it slowly, on weakness, in small
pieces. Because the chart, it's still a little broken and I'm not trying to call the bottom.
But the receipt, they happen to be real. And I'd rather own it while everyone else is just staring
at the price tag not knowing what to do. Now we'll move on to our next company and this one is a
completely different animal of Inodata. So here's the one idea to hold onto. In a gold rush, you can
bet on the miners or you can make a big deal. In many videos. Because every AI company on earth,
open AI, Google, anthropic, all of them is racing to build smarter models. And to do that they need
one thing above all else. And that happens to be enormous amounts of clean labeled human check
data so it can train on it. Somebody has to build out the data and it doesn't matter which
model is going to win the race because they all buy their shovels from that same short list
of suppliers. So what exactly is Inodata?
[01:06:28:29 - 01:10:17:04]
Inodata is a company worth about $2 billion that has quietly become one of the go-to
data engineers for Big Tech's AI. They happen to be a neutral shovel seller that's sitting in the
middle of the biggest gold rush of our lifetime. And something happened last year that made being
neutral extremely valuable. So Inodata's biggest rival is a company called Scale AI and Meta paid
around $14 billion for roughly just half of it. So to put that into scale, Meta spent about 7
times Inodata's entire value just to buy half of one of its competitors. And of course, the
moment that Meta owned a piece of Scale AI, its other customers think Google and OpenAI,
well they started to pull their workload away from them. Because no lab wants to hand its secret
training data to a company that's half owned by a direct rival. So suddenly, overnight, independence
just went out the window. And what used to be just a little footnote for Inodata suddenly became its
single biggest selling point. And of course the business is booming. Revenue grew 58% just last
quarter. Its 12th straight quarter of growth. With management guiding to at least 40% for the
full year. And of course here's the part that I like most. A year one giant customer was more than
half of everything that Inodata sold. Today that same customer is down to about a third. And it's
not because it shrank, but because so many others grew around it. Including a second big tech giant
that went from almost nothing to nearly a third of revenue in a single year. So picture the one
customer who used to be the whole story. Well now they're just one of eight seats that are sitting
at the table. Now to the flip side which is very important. This is a small company so the stock
can swing very hard in either direction. And it's not a very cheap buy. And it trades at around 46
times its earning because everyone can already see the growth. And on top of all of that, the
people betting against it are betting loudly. Short interest sits near 14% of the shares and it
has been climbing very fast. So when you're like me and you're buying Inodata, you are buying the
right shovel seller. But unfortunately it happens in the choppiest corner of the market. So why
exactly did it fall from half of its high? Well it's not because the business broke. It just
posted its best growth yet. Honestly I think it fell for three very plain reasons. It's
a small fast-moving AI name that gets sold really hard whenever the market sours on anything
AI. And of course short sellers piled in betting the growth is going to slow. And of course it
didn't help that its own executives began to sell a chunk of stock near the highest of highs.
Including the founder CEO cashing out at around 24 million dollars. And some of that is very fair.
Because 46 times earnings is a very rich price. And insiders selling into strength is a real
yellow flag. But none of it is a crack in the business. It just happens to be a re-rating of
the mood and the price. So overall the machine underneath isn't broken. And that short bet has a
little bit of a flaw in it. The one thing they're leaning on the hardest is that InnoData depends
too much on a single customer. And that happens to be the very thing that they're fixing the most.
Because like I said that customer has gone from more than half of the company to about a third
in a single year. While the rest of the big tech just keeps lining up behind it. So how exactly
do I play this? Well InnoData is the highest risk name on my entire list. And I treat it exactly
that way. I have it as a very small position. So the kindest size so that a bad month never
really hurts you. Because this stock is going to be violent. Either way up and down. But it is that
neutral shovel seller in an arms race that isn't slowing down anytime soon. And I would rather
own a little of that than none of it at all.
[01:10:17:04 - 01:11:58:23]
And when quality names go on sale, the real tell isn't always in the discount. Sometimes it's
who's buying it while everyone else is looking away. And someone who has mastered exactly that
is Howard Marks, the investor that Warren Buffett drops everything to read. That brings us to the
portion disseminated on behalf of Mayfair Gold Corporation, where Marks and his Oaktree Capital
own roughly four and a half million shares. And Mayfair happened to be the only pre-production
gold stock that Oaktree holds. But the ownership picture is the standout. Insiders hold about 35%
of Mayfair, institutions another 28%, and high net worth investors 20%, leaving less than a fifth
for retail investors. And they all keep buying. Insiders have put around $20 million into their
stock in just two years. And the CEO recently added another $400,000, and Carson Bloch's Muddy
while they hold north of 17%. So what exactly are they buying? A developer climbing the Lassonde
Curve. The FenGib project in the Trimmins Gold District just posted a pre-feasibility study with
an after-tax value around $652 million Canadian, a 24% return, and first production targeted for
2030. And management already built and ran mines like Detour Lake, which is in that concentrated
ownership, heavy insider buying, and a near-time producer in Canada's top mining jurisdiction.
That's the kind of setup that most investors are looking for. Plus, they are located on the New
York Stock Exchange and are available on most every exchange out there. As always, do your own
due diligence and learn more about Mayfair Gold down in the link in the description.
[01:11:58:23 - 01:18:50:18]
Now I'm going to move on to the company that
takes that receipt idea from the very top and makes it almost too obvious. And that's Sterling
Infrastructure. Remember how I said a few names are trading on a receipt instead of a guess.
Sterling is the cleanest one on this entire list. So what do they actually do? Well when a tech
giant decides to build a data center long before a single server even begins humming, somebody has to
move what is basically a small mountain of dirt. They need to grate it out flat. They need to pour
the foundations and now wire the power into it. That extremely unglamorous, absolutely essential
groundwork is Sterling's entire business. They don't own the data center. They simply build
the ground that it stands on. And in the middle of an AI boom that runs on data centers, seems like
a pretty good place to be. So I should probably share the receipt. So Sterling's backlog, the
work that it's already been hired to do but hasn't finished yet, now sits north of five and a half
billion dollars. And it grew by half again in a single year. That is more work already signed than
the company built in the last two years all put together. Sitting in the order book before they've
even broken ground on most of it. And the growth underneath it is pretty much just as loud because
the revenue nearly doubled last quarter. So for a construction company, those are not normal
numbers. This has quietly become one of the most profitable, fastest growing infrastructure
names in the country. And it carries no net debt with a return on equity around 40%. So here's the
real a company growing like that with a receipt like that is trading at about 46% below its high.
And of course here's the twist and it's a good lesson. Last year, Sterling bought an electrical
contractor so it could now offer the groundwork and the wiring all on the very same job. And that
electrical work runs at a thinner margin than Sterling's core dirt business. So when you blend
it all in, the segment's operating margin slipped about four points. And of course Wall Street saw
the dip and they decided the golden business was losing its shine. So a lot of them begin to sell.
And the management's own words broke it down by simply saying it's purely mix. They just happened
to bolt a slightly less profitable business onto a very profitable one. And the average overall
just came down a little bit. Now of course the sell-off, it's not crazy. The stock had a run
for a long time and a long way up and it was not cheap. It still trades nearly 40 times earnings.
And the blistering growth is set to cool down from around 60% this year toward the low 20s next
year. And of course those are real reasons to want a lower entry. But the core business is still
elite and the receipt just grew by half. And the very acquisition they got punished for is the one
thing that lets Sterling win even bigger because they get more complete jobs. So we should kind
of sit with that for a second because the market sold Sterling because one margin number ticked
down just a few points. And in the very same quarter its order book grew by half. And this is
exactly why Sterling is a name that I hold with a little bit more conviction than most on this list,
even though it's not statistically cheap. It's a net cash elite margin builder that's sitting on a
multi-billion dollar receipt. And it just happened to get sold off for adding a business that makes
it stronger. Of everything that I'm covering today, this sell-off is the one that makes the
amount of sense to me. And that's okay because that's usually where I find better opportunity.
So Sterling happened to build the ground that the data center sits on and this next company builds
the power that feeds it. So meet MassTech. And of course here is the one idea. Every data center
we've been talking about needs one thing before it can compute anything else. And that's electricity.
And it happens to be a staggering amount of it. For about 20 years America's power sat almost
flat. A straight line that was really going nowhere. And then suddenly AI showed up on the
scene. And now the power that those data centers pull off the grid is set to climb real hard. And
on the current forecasts it roughly triples by the end of the decade. And I think that we all get
it because the grid that we have it was never built for that. So someone has to string the
new transmission lines, raise the substations, and wire the connections that carry all of it. And
that someone is MassTech. And just like Sterling, MassTech runs on receipt. So the backlog, the
work that's already signed and under contract, sits north of 21 billion dollars. For that company
it's an all-time record. And it grew 30% in a single year. That is the power side of the AI boom
and it's already booked. So in this past quarter the company beat and actually raised its guidance
for the year with its two biggest engines. Power delivery and clean energy. Both running
extremely fast. So sort of like the other ones, why exactly is a company sitting on a record
backlog down nearly 40% from its high? And here's the honest answer. And it's a little bit
different from Sterling. When MassTech reported one of its smaller divisions, the one that builds
cell towers and telecom lines, hit an air pocket as a couple of really big carriers began slowing
down their spending. So yes, the power business is booming. But that one weak corner spooked the
entire market and the stock sold off hard in a single day. On top of that, a lot of that
record backlog is scheduled for next year, not this one. So the payoff sits further out than
the impatient money really wants to wait for. Now the drop for this one, I can defend a heck of a
lot more than Sterling's. The chart is broken and the momentum happens to be against it. And the
strongest cash, well it doesn't even land until the back half of this year. And unlike net cash
Sterling, this one carries real debt. So there's less room for having any error. So in my mind this
is not a backup the truck moment. Instead this moment is where the tail is wagging the dog. The
market sold MassTech over slowdown in cell towers. Well the part that actually matters, like the
grid backlog feeding the entire AI build out, just hit an all-time high. So you're telling me
a telecom hiccup grabbed the headline while the real engine quietly just kept booking the work.
Well hey I'm okay with that. So where exactly does that leave me? Well on MassTech I'm waiting.
I'm not rushing. I love the story. The grid has to be rebuilt and MassTech is one of the few that
can actually do it. Then it just its way deeper into data center power. But the chart is a little
broken and the best cash is still months away. So this is one where I'm going to start small and I
add it on weaknesses. Letting the setup come to me instead of trying to chase it.
[01:18:50:18 - 01:23:33:27]
us to highest quality business on the entire list.
And easily the strangest story of the bunch. And that happens to be AppLovin. Every other name
that we've looked at today is cheap because it's a builder. It's pouring money in and it's
waiting years to get paid. AppLovin is kind of the mirror opposite of that. It runs the software
that decides which ad you're going to see inside of an app and more and more inside online stores.
Powered by an AI engine that keeps getting sharper Now what makes it special is the economics. For
every dollar of revenue that comes in the door, close to 80 cents falls straight through as
operating profit. So to put that into perspective, even Visa, a company almost everyone files under
money machine, runs an operating margin in the mid 60s and AppLovin runs higher than that. So
this isn't a cheap builder waiting to earn. It's a cash machine that really, really went on
sale. And it did go on sale in a hard way, down more than 50% from its high. The business
underneath grew revenue almost 53% last quarter and it throws off so much cash that it casually
buys back its own stock. So after that massive fall, you're paying around 21 times next year's
earnings for one of the most profitable software companies anywhere. At a multiple that this stock
almost never carried back when it was the market's darling. For this kind of quality, this is not
expensive at all. So why exactly did a cash machine like this fall in the first place? So for
more than a year, AppLovin lived under a cloud. Short sellers published reports accusing its ad
engine of shady data practices. And eventually, the SEC opened an investigation and the fear
that the whole business was built on something illegal followed the stock the entire way up
and the entire way back down. Then on the very same day that it reported earnings, the company
revealed the SEC had closed that investigation with no action and no wrongdoing was found. So the
single biggest risk to the company was completely lifted. And of course the stock dropped anyway,
around 20% that day, because in that same report, growth came in just a little bit below plan. And
it happened to be its first guidance miss since it ever went public. And here's where I'll kind of
argue against myself, because the sell off itself isn't baseless. This was a stock that was priced
for perfection. So even a small miss gets punished really hard. And the growth is also cooling off
a guided next quarter to something like 47%. It's still an enormous growth, but it's slower than the
street wanted to see. And the next big is supposed to come from an ecommerce ads business that had
only opened up to everyone just this summer, which none of us has watched scale, at least
not yet. And of course, those are just open question marks. But if you step back and look
at what actually happened that afternoon, the company happened to get the best possible
news and the worst received number all in the same report. And I think that the market only
heard about the number. So let's take a step back and think about this. The scariest thing that
could ever happen to this company is a regulator ruling that it broke the law. And instead that was
permanently just taken off the table. And on that very same afternoon, the stock got marked down
for one soft quarter. Now that's another one that seemed really odd to me because the market seemed
to overreact to the number that it was expecting, while they also ignored the huge danger that just
got lifted off of its shoulders. So my honest read on app loving is that it's the highest quality
name in this entire group. And in some cases, it's also the most volatile. And I know it sounds
weird to say, but I can hold both those thoughts at the same time. Because at the end of the
day, this business is still elite. And the fear that was haunting it for a year, it's now
completely gone. And it happens to be cheaper than it's ever been in about two years. But of
course, the chart is broken. And it's trading well below where it used to. And the stock well,
it can still stay a little bit cheaper for a while because it's in that violent stage. This is
one where I already own a lot of it. And I'll continue to buy more once it's convinced me that
it's hit the floor. And I think it's coming real soon. Because when you look at the fundamentals,
this is an impeccable company. We just need the technicals to catch up to it. So there's the list.
It's five very strong businesses that the market marked way down, most of them sitting on revenue
that's already signed, it's spent, and it's just waiting to be delivered. And of course, the charts
are going to do with what they do. And I'd rather just follow those receipts. Hey, just a quick
reminder that I'm not a financial advisor. And I do this for educational purposes. And
as always, thanks so much for watching.
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