omg nvidia stock [nvda]
FULL TRANSCRIPT
well let's talk about Nvidia reports
earnings today but we've got to go
through some of the big competitive
advantages for NVIDIA even Beyond
earnings we'll talk a little bit about
earnings expectations and some of the
things to look for in the finances but
most importantly we want to talk about
what makes Nvidia an interesting
potentially unique investment
opportunity in the long term what are
some of its advantages so outside of the
short-term news what's the long-term
thesis for investing in video and what
do those finances look like well let's
start just there so when we actually
look at the finances we can see that
Nvidia and much like most of the chip
companies are quite frankly in a bit of
an earnings well recession this is the
latest uh Nvidia report for the Year
this is their latest annual report for
the year ended January 2023 so in other
words uh the full year of basically 2022
Jan de Jane you can see that Revenue was
flat while Revenue was flat their cost
of sales so their costs of goods sold
their products cost them 23 percent more
so their income was flat
but 23 more cost for the actual products
their research and development up 39
sales and general and administrative SG
a of 12.6 leading to a net income
decline of 44.7 that is a negative a
negative
44.7 decline in uh net income this is an
example of your earnings recession now
it could be argued that hey look the
company exploded and the fact that you
have flat revenue is actually fantastic
because think about it you went from 16
uh 0.6 billies in January of 2020 uh uh
one to
26.9 billies of revies
right after that uh which is freaking
awesome because if you look at that it's
like hey wait a minute Kevin that is a
62 increase and the fact that we're flat
off of that not bad it's literally like
growing like this then having this
exponential explosion uh and then being
flat yeah I wish it didn't correct
because I liked my drawing better it's
kind of like growing like that and then
having this explosion of exponential and
then flattening at least it didn't
plummet back down to where it was just
sort of a little triangle there right so
this is actually pretty powerful even
though costs are going up the revenues
are flat and then that income is like
down 44 you've left the stimulus era
right so of course you've got these
really negative calms and these negative
comps have led a lot of these
manufacturing company or a certain
manufacturing companies these chip
designing companies like Nvidia AMD
right they all pretty much use tsmc to
manufacture maybe Intel will come in the
race in the future though they've got
some work to do they actually think that
Intel could be a big player in the one
and a half to two nanometer chip space
we're not quite there yet right now
we're working in the three to five
nanometer uh chipset space that's the
spacing of uh transistors and chips the
the smaller in theory the more efficient
and the better these chips could be the
stronger and more powerful that's all
down the road well Intel could be a game
changer in manufacturing probably in
2024 25 26. uh although they could also
be a value trap and end up going
bankrupt but that's really a topic for a
different video we talk about Intel a
lot in the course member streams uh
mostly because that thing's trading for
a PEG ratio of like 0.5 now before I
lose you on PEG ratio remember what a
PEG ratio is it's how much you're paying
for growth at a company and one of the
things that I like is I like looking at
companies uh usually around a one and a
half to 1.69 1.7 PEG ratio that's about
where Tesla is trading now it's about
where end phase is trading now
Etsy is trading below that right now a
problem with something like Nvidia is
it's trading for a little bit above that
range right now at 306 dollars per share
306 dollars this is your share price and
you'll see how to calculate Peg as well
uh right now we're looking at an a full
year of 2023 so first quarter earnings
aside full year of 2023 which is their
fiscal 24. we are looking at earnings of
about four dollars and 60 cents
projected we'll get some guidance on
that but it'll probably be somewhere
close to that 306 divided by 4.60
puts you at a p e ratio a forward p
ratio so we say FPE a forward p e ratio
of
66.5 that's a little bit rich now the
company in terms of growth is expected
for 25 6 7 and 28 all together to
average about 25 growth well if we
divide by uh 25 growth so in other words
that p e by 25 uh removing the percent
is what you do for this math divide 66.5
by 25 you get a PEG ratio of about 2.66
unfortunately just on a simplified
valuation measure that's quite a bit
above where we probably ought to be of
closer to 1.6 1.7 it's about 66 above
that that's quite a bit stretched right
now now maybe nvidia's earnings will
explode more and that's possible that's
the hope is that nvidia's earnings will
explode more because of well the whole
reason people are investing in video
right now and it's obviously
artificial intelligence everyone's
investing in Nvidia right now because
it's seen as the best play for
artificial intelligence going forward
and that might be the case because quite
frankly when it comes to Dedicated gpus
graphic processing units uh which are
going to be the strongest and most
powerful for providing data and services
for well artificial intelligence
Nvidia takes about 80 to 88 of the
market share that's really really
powerful so when you have Nvidia taking
80 to 80 percent of that market share
you kind of look and go well if you're
going to want to invest in AI maybe just
maybe investing in Nvidia is the place
to do it the problem is AI has really
been hype trained up before we've
actually started to confirm where AI
revenues are going to come from this is
something that I always caution and it
is this idea of okay well look AI we
know is going to be great I think all of
us agree that it's going to add
productivity to us as individuals if
you're not becoming more productive
because of uh artificial intelligence
you're probably going to end up getting
left behind you don't want to get left
behind because if you get left behind
you're more likely to lose your job
you're less likely to get a promotion
you're less likely to as actually get
ahead in life so you want to incorporate
AI in your life and we want to invest in
AI related plays this is why I have a
program on building your wealth so we've
got programs on investing stocks and
real estate we do fundamental analysis
on stocks you know we'll do some
fundamental analysis on Nvidia here as
well and we'll do some earnings
expectations but also well we have a
course on building your income how to
make more money and get sh19 done faster
featuring AI the AI segment and how to
actually incorporate AI in your life
comes out June 1st so check that out
before the pricing goes up after that
content drops but what do we know about
Nvidia well we know a lot we know that
Nvidia is uh using tsmc to manufacture a
lot of their chips and they sell their
gpus to the software companies and
server companies that use them for
artificial intelligence think Microsoft
AWS Google Cloud all of them when they
use AI most of the AI technology and
processing in the compute power hours
being put through Nvidia gpus now Google
does have these tpus which we don't want
to go into this super detail of what all
these different processing units are in
that case that's a tensor processing
unit and Amazon's also making its own
server-based uh chipsets but when it
comes to actually processing artificial
intelligence Nvidia has like I said 80
80 of the lead now there are two
different types of Graphics units
they're sort of your integrated Graphics
chips in which case Nvidia actually has
a very small market share of them this
is sort of for your regular consumer
products whether it's a laptop or
whatever but when it comes to Dedicated
graphic processing which used to be uh
ethereum mining for example with gpus
which no longer is that's LED their
Gaming revenue to absolutely tank that's
contributed to their earnings recession
uh that's gone now right but when we
have dedicated uses for artificial
intelligence what are we looking for
with looking for dedicated use chips in
Nvidia is the 80 to 88 market share of
this and again they're using tsmc to
manufacture but tsmc has also got a
little bit of an up their evaluation
probably also trading for somewhere
right around a three peg but people see
Nvidia as the really shovels of the gold
mining race in artificial intelligence
and the reason people call it sort of a
picks and shovels play is again we don't
know which software companies are going
to win when it comes to Aeon we think
that oh Google's going to win or open AI
is going to win or all of these you know
maybe Microsoft will win because of
their investments into uh uh you know
open AI or you know Google's Bard will
win but the problem with this is we
don't know yet which software is going
to win in my opinion the best software
is where people are going to flock to as
soon as there's a better chat bot
everybody goes over to that chat bot and
dumps The Bard and open AI behind that's
a big problem especially since when you
look at a company like Google in terms
of an investment you're looking at
advertising revenue and network placing
placements on websites representing 69
of the company's income
well if that income starts bleeding down
because you need to search less sure AI
will contribute to some sort of income
uh at Google how do we know how much
income that's going to contribute what I
worry about is that AI will contribute
Revenue like this for Google well their
ad Revenue goes down so you'll see an
increase of AI Revenue here for Google
but you'll see search and advertising
Revenue Decline and you potentially have
this massive loss as potentially some of
these ads go to other AI platforms we
just don't have that certainty yet but
we do know that Nvidia is probably your
AI processing play and that's exciting
this is one of the reasons nvidia's
blown up so much recently one of the
things to know as well is that a lot of
people use the Nvidia architecture for
actually building applications or
programming on and I'm not a programmer
but a lot of people use the software
stack that Nvidia uses to extract the
power out of gpus the coda system is
amazing for doing exactly this and a lot
of people prefer it and when they prefer
this for their server infrastructure
they have to use Nvidia chips AMD is not
even close yet in in terms of these
these AI processing chips that Nvidia
has and they're just now I mean way
after Nvidia have they gotten into
creating their own software Stacks to
try to compete with it what Nvidia has
so Nvidia has some massive advantages
now what's also exciting a lot of the
Cuda by the way creates a massive mode
for NVIDIA so when you're investing in
video you're not just creating it or not
just investing in this chip designer
you're also investing in their software
and the moat that they have because of
their software whether it's the
Omniverse or Cuda or otherwise now it's
worth noting that if you look at the top
about 111 actual Graphics units listed
on Benchmark UL what's remarkable is the
first 111 chips basically show you a
dual opoly you have AMD and Nvidia
that's it when it comes to graphic units
but when it comes to AI once for those
servers
Nvidia is the winner it's not until the
112th chip that you actually get to an
Intel graphic Processing Unit which is
pretty remarkable now one of the
downsides that you're seeing right now
is unfortunately Nvidia has this huge
backlog of inventory of gpus because of
the lack of use from ethereum Mining and
also everybody's already bought their
new gaming PC during covid so you have
this massive PC Crush you've got a
massive inventory glut so you actually
have some risk factors for NVIDIA in the
short term that potentially inventory
gluts are going to reduce pricing power
at companies like Nvidia you're going to
see reduced margins and you're going to
see reduced revenues before you actually
see the AI revenues come through just
because AI started becoming really
exciting in the last two months doesn't
mean all of a sudden every company Under
the Sun is buying more Nvidia chips it
could take years to really see AI play
out at Nvidia so I think Nvidia is
really this play that you have to look
at from a long-term point of view rather
than something that you want to play
short term I actually actually would be
short-term bearish on Nvidia trying to
play earnings mostly because we don't
know I mean maybe that's already built
into the expectations that's always the
funny thing with earnings uh you know
when you look at earnings you're looking
at an implied one-day volatility
movement of 4.7 percent so 4.7 stock
movement after this earnings doesn't
seem that big uh nvidia's EPS has beat
four out of eight times so it's a total
coin toss although their revenue has
beat seven out of eight of the last
times so there's a good chance they'll
beat on the top line again but
potentially again miss on the bottom
line so we'll see but we know nvidia's
had one heck of a run-up recently
because of AI and I don't think AI is
going to be contributing to a big
portion of their revenue anytime soon
even though we do know and maybe they're
forecasting their guide will help
because if they give a really Rosy full
year guide maybe that'll help boost the
stock but I really think it's going to
be a minute before we see some of this
this Revenue actually pushed through
Nvidia doesn't really do a 5G we know
this is more of a Qualcomm play but some
people have been asking about that
you've got competition coming for a
manufacturing but that could actually
contribute uh to uh to Nvidia the more
companies like Intel or Applied
Materials or whatever uh Micron uh in
America that might end up manufacturing
under the chips act those companies uh
will benefit from from the stimulus
checks the governments are handing out
for manufacturing chips in the United
States this is good and that could be
good for potentially reducing some of
the costs of Nvidia actually having to
manufacture chips because remember
Nvidia doesn't manufacture they design
and create software and then they
Outsource the manufacturing this is very
typical only Intel really does both they
both design and manufacture but even
like a Tesla they might design their own
chips but have somebody else manufacture
them so uh there is some excitement
about this manufacturing Coming to
America this sort of reassuring some
worry that this is going to be
inflationary and actually increase the
cost of of chips and even the CEO of
Nvidia just today on the financial times
argued that we have to be careful about
more of these restrictions against China
and sort of limiting China's exports uh
mostly because they could end up hurting
nvidia's ability to actually sell this
massive backlog of chips that they have
so there are some short-term concerns as
well with the United States potentially
being too aggressive against uh China
and how more of these chip bans could
potentially actually encourage China to
uh to manufacture their own proprietary
chips at the downside or to the downside
of Nvidia but just today in the
financial times you have the CEO of
Nvidia warning about enormous damage
from the escalating battle over chips
between Washington and Beijing
suggesting that your tying silicon
Valley's hands behind their back if
China can't buy from the United States
and they just end up building their own
chips so a big warning there from Jensen
your CEO of course China's uh China
before all of these uh sanctions or as
many of these sanctions China
represented somewhere around 24 of
nvidia's order book so big chunk of it I
actually like investing in companies
that have exposure to China generally
because I don't have to invest in
Chinese companies to get Chinese growth
I can invest in American companies to
get that growth I like that uh you did
just also have an announcement between
Apple and broadcom but that's more of a
middle finger to Qualcomm than it is to
Nvidia Intel dominates the CPU market
and maybe the integrated GPU Market
contributes to this but really Nvidia
when it comes to Dedicated trips and AI
chips they're the almost the only game
in town on top of that they're paying
somewhere around 1.9 percent in taxes
because they run a lot of their revenue
through subsidiaries whether it's in the
Cayman Islands the Netherlands or other
countries in Europe
this has led a lot of people to be very
frustrated over some of the tax credits
and and opportunities that they're able
to do to avoid or take advantage of to
avoid taxes and a lot of people Slam in
a video for this Nvidia sees this as
just smart taxation running some of
their revenue even through Israel or
Hong Kong and they suggest this allows
them to spend more money on R D which
Nvidia will also benefit from chips uh
the chips act and r d spending which is
great remember this is this is stimulus
money it's basically free stimulus money
uh which is very exciting these these
companies will benefit tremendously from
Investments directly from the government
and money printing so if you like
investing where stimulus money is going
chips manufacturing and chips you have
to be careful though because if you
search like top chip companies in
America you might get search results
like Frito-Lay or lays or whatever it's
a problem so you have to be careful but
uh anyway I I do I I just want to make
sure we're doubling down on how
important Cuda is because a lot of
current AI systems are actually trained
on this coding infrastructure of Cuda it
is a massive mode for NVIDIA it has been
in development for 16 years it's their
proprietary uh software stack and it
lets you extract That Power from the
Nvidia GPU so if you just if you want to
run processing through the gpus rather
than just the CPUs you have to use Cuda
uh and and Cuda is just it's robust it's
great it's a fantastic software so the
competition just doesn't hold a candle
to this and so people like manufacturer
or basically coding with this compared
to uh amd's uh Rock M which is you know
sort of your closest second but it's
still a big second uh it's probably some
people say it's nine years behind Cuda
it probably isn't nine full years behind
it's probably more like two or three
years behind but uh it came nine years
later so uh it's also worth noting that
Nvidia has transitioned from gaming to
Data Centers and this has been
critically important because gaming has
just absolutely gotten destroyed uh or
post covet because again everybody's
already got their uh uh they've already
got their new gaming PC uh and gaming
has been substantially less of of a
level of importance for nvidia's Revenue
uh amd's catching up on gaming as well
so maybe less of an area to to really
grow but really what's what's important
to know is that right now the market is
already pricing in about 25 percent
growth for NVIDIA uh and that's at a PEG
ratio of 2.6 I think we said uh yeah
2.66 you're already paying a premium for
that 25 growth I think 306 is a high
level I'm not saying that Nvidia
deserves to go down I wouldn't short
this stock just because it's such a
blindly easy pick for institutions to go
oh we need AI exposure just buy Nvidia
like a drunken sailor because yeah
artificial intelligence that doesn't
mean it's going to outperform other
stocks though in the near terms so while
I have exposure to Nvidia I'm not I'm
not very excited about having a super
high allocation to Nvidia uh right now
would I consider trimming before
earnings potentially am I going to I I
have no idea uh I I don't generally like
playing or earnings I think it's very
risky to do that but I do think there's
a lot of enthusiasm that's coming before
the the actual stake right like the
analogy of selling the sizzle before the
steak yay AI boom okay where are the AI
revenues uh they'll be here in a few
years like they will come but it's going
to take a little minute and and at this
PEG ratio I think there are better deals
to buy uh I mean you know we just had a
report uh from Goldman Sachs that online
retail is starting to explode again in
April based on retail sales reports from
April and you're looking at uh Etsy
trading at about a 1.3 times Peg so it
makes you wonder okay do you want to get
into that kind of consumer discretionary
do you if you want AI Tesla's much
cheaper than in video right now at you
know somewhere around a 1.6 to 1.8 Peg
you have to be careful when you do these
these uh calculations as well not to use
2022 numbers you have to go current
current year out so 9 to 16 18 months
out is generally what I do with
evaluations because you're getting away
from some of the whole of the earnings
recession that you saw in 2022. so uh do
keep in mind for expectations we're
looking at 92 cents of adjusted EPS Gap
EPS we're looking at 61 cents Revenue
expectation we're looking at
6.52 billion dollars net income 2.27
Bill expected uh data center revenue is
expected to jump nicely so hopefully
that uh that stays that way uh again if
if you run some DCFS on these you're
you're really looking at growth already
priced in at least 25 already priced in
some are arguing depending on how you
run your DCF that you could be sitting
around 30 already priced in 35 price
damn uh so a lot of uh a lot of uh
richness already priced there we'll
leave it at that but again you know
they're going to have a great growth
story over the next decade and it's
possible that the growth that's been
forecast before this AI boom hasn't yet
really been updated to reflect how much
growth is truly going to come from AI
though I will say I think AI is going to
be a big part of what we hear about in
the earnings call today so that'll be
fascinating and so I'm super excited to
see what happens here at the same time
again AMD is is really focused on gaming
and yes they're going to focus on to
some extent uh servers and and AI for
Enterprise the the right focus in my
opinion is on
Ai and and these server chips and I
think Nvidia is just playing the game
correctly here they've got the edge with
good they've got the moat with Cuda uh
and uh and they just they're dominant in
the market so there's little you could
say about how Nvidia is not going to be
a massive beneficiary of AI they almost
certainly will be a massive beneficiary
of AI but uh the valuation today hey
let's just say you know I I hope uh I
hope they crash uh over the next few
earning Cycles so you could pick up
Nvidia cheaper maybe when the AI hype
cycle dies down a little bit uh am I
jumping up and down about buying in a
306 hey who knows you know maybe they
give Rosie guidance and they're up 10
and you're like ah should have bought
you know but the valuation is Rich and
usually the market does a good job of
eventually leveling out those Rich
valuations so uh if I had to say what
would be a little bit more of a fair
price right now uh for NVIDIA I'd
probably say you'd want to be closer to
and people are gonna get mad at me
saying it but probably 200 to 250 would
be more reasonable if you were under 200
like we were for a while when I
initiated my position in it around 150.
well then it was just juicy but duh I
mean it's doubled since then so uh
anyway uh remember if you want all of my
buy and sell alerts join the stocks and
psychology of money group link down
below if you want to join me on the AI
drop make sure you join before June 1st
for the how to make more money and get
sh9t done faster course members who are
already part of uh the income course or
getting that sector for free and you can
lock in your price as well before we
increase the price again when the
content actually comes out on June 1st
the other content's already in there but
the AI content is coming out on June 1st
uh so with that said very excited about
Nvidia long term short-term bearish uh
it doesn't mean I'm gonna dump all of my
uh Nvidia exposure beforehand though but
uh who knows maybe a little trim is in
store but yeah anyway that gives you
some insight on a video hopefully it's
useful for you even Beyond this next uh
earnings uh set that comes out and uh
yeah I wouldn't bet against them long
term for sure just like you should bet
against those courses on building your
wealth thing down below
see you later
[Music]
now I want you to know this when it
comes to AI time is what's going to make
you money and if you can prove that
value to an employer you'll always be
able to be employed so this is another
way of making sure that you don't get
replaced a quick follow-up on Nvidia
some people want me to look at the
balance sheet and the cash flow
statement fine fine I'll do that okay
here's the quick skinny on it they've
got about 13.2 billion dollars of cash
and marketable securities they've got a
short-term liabilities in in the Kevin
math I do Kevin math a certain way of
about five billies and maybe about 11.6
in long-term debt free cash flow you're
sitting at about 3.8 billion so you've
got free cash flow so the the debts
don't terribly much matter here they've
got plenty of operating room uh actually
pretty pretty good financials
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