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omg nvidia stock [nvda]

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0:00

well let's talk about Nvidia reports

0:03

earnings today but we've got to go

0:05

through some of the big competitive

0:07

advantages for NVIDIA even Beyond

0:09

earnings we'll talk a little bit about

0:10

earnings expectations and some of the

0:12

things to look for in the finances but

0:14

most importantly we want to talk about

0:15

what makes Nvidia an interesting

0:18

potentially unique investment

0:19

opportunity in the long term what are

0:22

some of its advantages so outside of the

0:24

short-term news what's the long-term

0:27

thesis for investing in video and what

0:31

do those finances look like well let's

0:33

start just there so when we actually

0:36

look at the finances we can see that

0:38

Nvidia and much like most of the chip

0:40

companies are quite frankly in a bit of

0:43

an earnings well recession this is the

0:47

latest uh Nvidia report for the Year

0:50

this is their latest annual report for

0:52

the year ended January 2023 so in other

0:56

words uh the full year of basically 2022

0:58

Jan de Jane you can see that Revenue was

1:02

flat while Revenue was flat their cost

1:06

of sales so their costs of goods sold

1:09

their products cost them 23 percent more

1:12

so their income was flat

1:14

but 23 more cost for the actual products

1:18

their research and development up 39

1:20

sales and general and administrative SG

1:24

a of 12.6 leading to a net income

1:27

decline of 44.7 that is a negative a

1:32

negative

1:33

44.7 decline in uh net income this is an

1:38

example of your earnings recession now

1:41

it could be argued that hey look the

1:44

company exploded and the fact that you

1:46

have flat revenue is actually fantastic

1:49

because think about it you went from 16

1:52

uh 0.6 billies in January of 2020 uh uh

1:58

one to

2:01

26.9 billies of revies

2:04

right after that uh which is freaking

2:07

awesome because if you look at that it's

2:08

like hey wait a minute Kevin that is a

2:11

62 increase and the fact that we're flat

2:14

off of that not bad it's literally like

2:17

growing like this then having this

2:19

exponential explosion uh and then being

2:22

flat yeah I wish it didn't correct

2:24

because I liked my drawing better it's

2:25

kind of like growing like that and then

2:27

having this explosion of exponential and

2:29

then flattening at least it didn't

2:31

plummet back down to where it was just

2:32

sort of a little triangle there right so

2:35

this is actually pretty powerful even

2:39

though costs are going up the revenues

2:41

are flat and then that income is like

2:43

down 44 you've left the stimulus era

2:46

right so of course you've got these

2:47

really negative calms and these negative

2:49

comps have led a lot of these

2:51

manufacturing company or a certain

2:52

manufacturing companies these chip

2:54

designing companies like Nvidia AMD

2:56

right they all pretty much use tsmc to

2:58

manufacture maybe Intel will come in the

3:00

race in the future though they've got

3:02

some work to do they actually think that

3:04

Intel could be a big player in the one

3:06

and a half to two nanometer chip space

3:07

we're not quite there yet right now

3:09

we're working in the three to five

3:10

nanometer uh chipset space that's the

3:13

spacing of uh transistors and chips the

3:16

the smaller in theory the more efficient

3:19

and the better these chips could be the

3:21

stronger and more powerful that's all

3:23

down the road well Intel could be a game

3:25

changer in manufacturing probably in

3:27

2024 25 26. uh although they could also

3:31

be a value trap and end up going

3:32

bankrupt but that's really a topic for a

3:33

different video we talk about Intel a

3:35

lot in the course member streams uh

3:36

mostly because that thing's trading for

3:38

a PEG ratio of like 0.5 now before I

3:42

lose you on PEG ratio remember what a

3:45

PEG ratio is it's how much you're paying

3:47

for growth at a company and one of the

3:50

things that I like is I like looking at

3:52

companies uh usually around a one and a

3:55

half to 1.69 1.7 PEG ratio that's about

4:00

where Tesla is trading now it's about

4:01

where end phase is trading now

4:03

Etsy is trading below that right now a

4:06

problem with something like Nvidia is

4:08

it's trading for a little bit above that

4:10

range right now at 306 dollars per share

4:14

306 dollars this is your share price and

4:17

you'll see how to calculate Peg as well

4:19

uh right now we're looking at an a full

4:23

year of 2023 so first quarter earnings

4:26

aside full year of 2023 which is their

4:29

fiscal 24. we are looking at earnings of

4:31

about four dollars and 60 cents

4:34

projected we'll get some guidance on

4:36

that but it'll probably be somewhere

4:38

close to that 306 divided by 4.60

4:41

puts you at a p e ratio a forward p

4:45

ratio so we say FPE a forward p e ratio

4:48

of

4:50

66.5 that's a little bit rich now the

4:54

company in terms of growth is expected

4:56

for 25 6 7 and 28 all together to

5:02

average about 25 growth well if we

5:06

divide by uh 25 growth so in other words

5:09

that p e by 25 uh removing the percent

5:13

is what you do for this math divide 66.5

5:16

by 25 you get a PEG ratio of about 2.66

5:20

unfortunately just on a simplified

5:23

valuation measure that's quite a bit

5:25

above where we probably ought to be of

5:27

closer to 1.6 1.7 it's about 66 above

5:32

that that's quite a bit stretched right

5:34

now now maybe nvidia's earnings will

5:36

explode more and that's possible that's

5:39

the hope is that nvidia's earnings will

5:41

explode more because of well the whole

5:44

reason people are investing in video

5:46

right now and it's obviously

5:48

artificial intelligence everyone's

5:51

investing in Nvidia right now because

5:52

it's seen as the best play for

5:55

artificial intelligence going forward

5:56

and that might be the case because quite

6:00

frankly when it comes to Dedicated gpus

6:04

graphic processing units uh which are

6:06

going to be the strongest and most

6:08

powerful for providing data and services

6:11

for well artificial intelligence

6:15

Nvidia takes about 80 to 88 of the

6:20

market share that's really really

6:23

powerful so when you have Nvidia taking

6:25

80 to 80 percent of that market share

6:27

you kind of look and go well if you're

6:29

going to want to invest in AI maybe just

6:33

maybe investing in Nvidia is the place

6:36

to do it the problem is AI has really

6:38

been hype trained up before we've

6:42

actually started to confirm where AI

6:44

revenues are going to come from this is

6:47

something that I always caution and it

6:49

is this idea of okay well look AI we

6:52

know is going to be great I think all of

6:54

us agree that it's going to add

6:56

productivity to us as individuals if

6:59

you're not becoming more productive

7:01

because of uh artificial intelligence

7:04

you're probably going to end up getting

7:06

left behind you don't want to get left

7:08

behind because if you get left behind

7:10

you're more likely to lose your job

7:12

you're less likely to get a promotion

7:13

you're less likely to as actually get

7:17

ahead in life so you want to incorporate

7:19

AI in your life and we want to invest in

7:21

AI related plays this is why I have a

7:24

program on building your wealth so we've

7:25

got programs on investing stocks and

7:27

real estate we do fundamental analysis

7:29

on stocks you know we'll do some

7:31

fundamental analysis on Nvidia here as

7:33

well and we'll do some earnings

7:34

expectations but also well we have a

7:37

course on building your income how to

7:39

make more money and get sh19 done faster

7:41

featuring AI the AI segment and how to

7:44

actually incorporate AI in your life

7:45

comes out June 1st so check that out

7:47

before the pricing goes up after that

7:50

content drops but what do we know about

7:52

Nvidia well we know a lot we know that

7:54

Nvidia is uh using tsmc to manufacture a

7:58

lot of their chips and they sell their

8:00

gpus to the software companies and

8:03

server companies that use them for

8:04

artificial intelligence think Microsoft

8:06

AWS Google Cloud all of them when they

8:10

use AI most of the AI technology and

8:14

processing in the compute power hours

8:16

being put through Nvidia gpus now Google

8:20

does have these tpus which we don't want

8:22

to go into this super detail of what all

8:25

these different processing units are in

8:27

that case that's a tensor processing

8:28

unit and Amazon's also making its own

8:31

server-based uh chipsets but when it

8:34

comes to actually processing artificial

8:36

intelligence Nvidia has like I said 80

8:38

80 of the lead now there are two

8:41

different types of Graphics units

8:43

they're sort of your integrated Graphics

8:45

chips in which case Nvidia actually has

8:47

a very small market share of them this

8:49

is sort of for your regular consumer

8:50

products whether it's a laptop or

8:52

whatever but when it comes to Dedicated

8:54

graphic processing which used to be uh

8:58

ethereum mining for example with gpus

9:01

which no longer is that's LED their

9:03

Gaming revenue to absolutely tank that's

9:06

contributed to their earnings recession

9:08

uh that's gone now right but when we

9:11

have dedicated uses for artificial

9:13

intelligence what are we looking for

9:15

with looking for dedicated use chips in

9:17

Nvidia is the 80 to 88 market share of

9:20

this and again they're using tsmc to

9:23

manufacture but tsmc has also got a

9:25

little bit of an up their evaluation

9:26

probably also trading for somewhere

9:28

right around a three peg but people see

9:31

Nvidia as the really shovels of the gold

9:36

mining race in artificial intelligence

9:39

and the reason people call it sort of a

9:41

picks and shovels play is again we don't

9:43

know which software companies are going

9:46

to win when it comes to Aeon we think

9:49

that oh Google's going to win or open AI

9:52

is going to win or all of these you know

9:54

maybe Microsoft will win because of

9:57

their investments into uh uh you know

10:00

open AI or you know Google's Bard will

10:02

win but the problem with this is we

10:05

don't know yet which software is going

10:07

to win in my opinion the best software

10:09

is where people are going to flock to as

10:12

soon as there's a better chat bot

10:14

everybody goes over to that chat bot and

10:16

dumps The Bard and open AI behind that's

10:19

a big problem especially since when you

10:21

look at a company like Google in terms

10:23

of an investment you're looking at

10:25

advertising revenue and network placing

10:27

placements on websites representing 69

10:30

of the company's income

10:33

well if that income starts bleeding down

10:36

because you need to search less sure AI

10:40

will contribute to some sort of income

10:42

uh at Google how do we know how much

10:45

income that's going to contribute what I

10:46

worry about is that AI will contribute

10:49

Revenue like this for Google well their

10:51

ad Revenue goes down so you'll see an

10:53

increase of AI Revenue here for Google

10:56

but you'll see search and advertising

10:58

Revenue Decline and you potentially have

11:00

this massive loss as potentially some of

11:03

these ads go to other AI platforms we

11:06

just don't have that certainty yet but

11:08

we do know that Nvidia is probably your

11:11

AI processing play and that's exciting

11:15

this is one of the reasons nvidia's

11:16

blown up so much recently one of the

11:18

things to know as well is that a lot of

11:21

people use the Nvidia architecture for

11:25

actually building applications or

11:27

programming on and I'm not a programmer

11:29

but a lot of people use the software

11:31

stack that Nvidia uses to extract the

11:34

power out of gpus the coda system is

11:37

amazing for doing exactly this and a lot

11:39

of people prefer it and when they prefer

11:41

this for their server infrastructure

11:43

they have to use Nvidia chips AMD is not

11:46

even close yet in in terms of these

11:49

these AI processing chips that Nvidia

11:51

has and they're just now I mean way

11:54

after Nvidia have they gotten into

11:56

creating their own software Stacks to

11:58

try to compete with it what Nvidia has

12:01

so Nvidia has some massive advantages

12:03

now what's also exciting a lot of the

12:06

Cuda by the way creates a massive mode

12:08

for NVIDIA so when you're investing in

12:10

video you're not just creating it or not

12:12

just investing in this chip designer

12:14

you're also investing in their software

12:16

and the moat that they have because of

12:17

their software whether it's the

12:19

Omniverse or Cuda or otherwise now it's

12:22

worth noting that if you look at the top

12:25

about 111 actual Graphics units listed

12:30

on Benchmark UL what's remarkable is the

12:34

first 111 chips basically show you a

12:37

dual opoly you have AMD and Nvidia

12:40

that's it when it comes to graphic units

12:43

but when it comes to AI once for those

12:45

servers

12:47

Nvidia is the winner it's not until the

12:50

112th chip that you actually get to an

12:53

Intel graphic Processing Unit which is

12:56

pretty remarkable now one of the

12:58

downsides that you're seeing right now

13:00

is unfortunately Nvidia has this huge

13:04

backlog of inventory of gpus because of

13:08

the lack of use from ethereum Mining and

13:11

also everybody's already bought their

13:12

new gaming PC during covid so you have

13:14

this massive PC Crush you've got a

13:16

massive inventory glut so you actually

13:18

have some risk factors for NVIDIA in the

13:21

short term that potentially inventory

13:23

gluts are going to reduce pricing power

13:25

at companies like Nvidia you're going to

13:27

see reduced margins and you're going to

13:29

see reduced revenues before you actually

13:33

see the AI revenues come through just

13:36

because AI started becoming really

13:38

exciting in the last two months doesn't

13:39

mean all of a sudden every company Under

13:41

the Sun is buying more Nvidia chips it

13:44

could take years to really see AI play

13:47

out at Nvidia so I think Nvidia is

13:50

really this play that you have to look

13:51

at from a long-term point of view rather

13:54

than something that you want to play

13:55

short term I actually actually would be

13:57

short-term bearish on Nvidia trying to

13:59

play earnings mostly because we don't

14:02

know I mean maybe that's already built

14:03

into the expectations that's always the

14:05

funny thing with earnings uh you know

14:07

when you look at earnings you're looking

14:08

at an implied one-day volatility

14:10

movement of 4.7 percent so 4.7 stock

14:14

movement after this earnings doesn't

14:16

seem that big uh nvidia's EPS has beat

14:19

four out of eight times so it's a total

14:21

coin toss although their revenue has

14:23

beat seven out of eight of the last

14:25

times so there's a good chance they'll

14:26

beat on the top line again but

14:28

potentially again miss on the bottom

14:29

line so we'll see but we know nvidia's

14:32

had one heck of a run-up recently

14:34

because of AI and I don't think AI is

14:37

going to be contributing to a big

14:38

portion of their revenue anytime soon

14:40

even though we do know and maybe they're

14:43

forecasting their guide will help

14:44

because if they give a really Rosy full

14:46

year guide maybe that'll help boost the

14:48

stock but I really think it's going to

14:50

be a minute before we see some of this

14:52

this Revenue actually pushed through

14:54

Nvidia doesn't really do a 5G we know

14:57

this is more of a Qualcomm play but some

14:59

people have been asking about that

15:01

you've got competition coming for a

15:04

manufacturing but that could actually

15:05

contribute uh to uh to Nvidia the more

15:09

companies like Intel or Applied

15:12

Materials or whatever uh Micron uh in

15:16

America that might end up manufacturing

15:18

under the chips act those companies uh

15:21

will benefit from from the stimulus

15:23

checks the governments are handing out

15:24

for manufacturing chips in the United

15:27

States this is good and that could be

15:29

good for potentially reducing some of

15:31

the costs of Nvidia actually having to

15:33

manufacture chips because remember

15:35

Nvidia doesn't manufacture they design

15:36

and create software and then they

15:39

Outsource the manufacturing this is very

15:41

typical only Intel really does both they

15:44

both design and manufacture but even

15:46

like a Tesla they might design their own

15:48

chips but have somebody else manufacture

15:50

them so uh there is some excitement

15:53

about this manufacturing Coming to

15:54

America this sort of reassuring some

15:57

worry that this is going to be

15:58

inflationary and actually increase the

16:00

cost of of chips and even the CEO of

16:03

Nvidia just today on the financial times

16:05

argued that we have to be careful about

16:08

more of these restrictions against China

16:11

and sort of limiting China's exports uh

16:15

mostly because they could end up hurting

16:17

nvidia's ability to actually sell this

16:21

massive backlog of chips that they have

16:23

so there are some short-term concerns as

16:25

well with the United States potentially

16:27

being too aggressive against uh China

16:31

and how more of these chip bans could

16:34

potentially actually encourage China to

16:37

uh to manufacture their own proprietary

16:40

chips at the downside or to the downside

16:43

of Nvidia but just today in the

16:46

financial times you have the CEO of

16:48

Nvidia warning about enormous damage

16:50

from the escalating battle over chips

16:53

between Washington and Beijing

16:55

suggesting that your tying silicon

16:58

Valley's hands behind their back if

17:01

China can't buy from the United States

17:03

and they just end up building their own

17:04

chips so a big warning there from Jensen

17:07

your CEO of course China's uh China

17:10

before all of these uh sanctions or as

17:13

many of these sanctions China

17:14

represented somewhere around 24 of

17:18

nvidia's order book so big chunk of it I

17:21

actually like investing in companies

17:23

that have exposure to China generally

17:25

because I don't have to invest in

17:27

Chinese companies to get Chinese growth

17:29

I can invest in American companies to

17:30

get that growth I like that uh you did

17:33

just also have an announcement between

17:34

Apple and broadcom but that's more of a

17:36

middle finger to Qualcomm than it is to

17:39

Nvidia Intel dominates the CPU market

17:43

and maybe the integrated GPU Market

17:46

contributes to this but really Nvidia

17:48

when it comes to Dedicated trips and AI

17:51

chips they're the almost the only game

17:53

in town on top of that they're paying

17:56

somewhere around 1.9 percent in taxes

17:58

because they run a lot of their revenue

18:00

through subsidiaries whether it's in the

18:01

Cayman Islands the Netherlands or other

18:04

countries in Europe

18:06

this has led a lot of people to be very

18:08

frustrated over some of the tax credits

18:11

and and opportunities that they're able

18:13

to do to avoid or take advantage of to

18:15

avoid taxes and a lot of people Slam in

18:18

a video for this Nvidia sees this as

18:20

just smart taxation running some of

18:22

their revenue even through Israel or

18:24

Hong Kong and they suggest this allows

18:26

them to spend more money on R D which

18:29

Nvidia will also benefit from chips uh

18:32

the chips act and r d spending which is

18:34

great remember this is this is stimulus

18:37

money it's basically free stimulus money

18:39

uh which is very exciting these these

18:42

companies will benefit tremendously from

18:44

Investments directly from the government

18:45

and money printing so if you like

18:47

investing where stimulus money is going

18:48

chips manufacturing and chips you have

18:52

to be careful though because if you

18:53

search like top chip companies in

18:55

America you might get search results

18:57

like Frito-Lay or lays or whatever it's

19:01

a problem so you have to be careful but

19:03

uh anyway I I do I I just want to make

19:05

sure we're doubling down on how

19:07

important Cuda is because a lot of

19:11

current AI systems are actually trained

19:13

on this coding infrastructure of Cuda it

19:16

is a massive mode for NVIDIA it has been

19:19

in development for 16 years it's their

19:21

proprietary uh software stack and it

19:24

lets you extract That Power from the

19:26

Nvidia GPU so if you just if you want to

19:29

run processing through the gpus rather

19:31

than just the CPUs you have to use Cuda

19:33

uh and and Cuda is just it's robust it's

19:37

great it's a fantastic software so the

19:40

competition just doesn't hold a candle

19:41

to this and so people like manufacturer

19:44

or basically coding with this compared

19:47

to uh amd's uh Rock M which is you know

19:50

sort of your closest second but it's

19:53

still a big second uh it's probably some

19:55

people say it's nine years behind Cuda

19:57

it probably isn't nine full years behind

20:00

it's probably more like two or three

20:01

years behind but uh it came nine years

20:03

later so uh it's also worth noting that

20:07

Nvidia has transitioned from gaming to

20:09

Data Centers and this has been

20:12

critically important because gaming has

20:14

just absolutely gotten destroyed uh or

20:17

post covet because again everybody's

20:19

already got their uh uh they've already

20:22

got their new gaming PC uh and gaming

20:24

has been substantially less of of a

20:28

level of importance for nvidia's Revenue

20:30

uh amd's catching up on gaming as well

20:33

so maybe less of an area to to really

20:36

grow but really what's what's important

20:39

to know is that right now the market is

20:42

already pricing in about 25 percent

20:45

growth for NVIDIA uh and that's at a PEG

20:48

ratio of 2.6 I think we said uh yeah

20:52

2.66 you're already paying a premium for

20:57

that 25 growth I think 306 is a high

21:00

level I'm not saying that Nvidia

21:02

deserves to go down I wouldn't short

21:04

this stock just because it's such a

21:05

blindly easy pick for institutions to go

21:09

oh we need AI exposure just buy Nvidia

21:12

like a drunken sailor because yeah

21:15

artificial intelligence that doesn't

21:18

mean it's going to outperform other

21:19

stocks though in the near terms so while

21:21

I have exposure to Nvidia I'm not I'm

21:24

not very excited about having a super

21:26

high allocation to Nvidia uh right now

21:28

would I consider trimming before

21:30

earnings potentially am I going to I I

21:32

have no idea uh I I don't generally like

21:35

playing or earnings I think it's very

21:36

risky to do that but I do think there's

21:39

a lot of enthusiasm that's coming before

21:41

the the actual stake right like the

21:44

analogy of selling the sizzle before the

21:46

steak yay AI boom okay where are the AI

21:49

revenues uh they'll be here in a few

21:51

years like they will come but it's going

21:54

to take a little minute and and at this

21:56

PEG ratio I think there are better deals

21:58

to buy uh I mean you know we just had a

22:01

report uh from Goldman Sachs that online

22:03

retail is starting to explode again in

22:05

April based on retail sales reports from

22:07

April and you're looking at uh Etsy

22:09

trading at about a 1.3 times Peg so it

22:12

makes you wonder okay do you want to get

22:13

into that kind of consumer discretionary

22:15

do you if you want AI Tesla's much

22:18

cheaper than in video right now at you

22:20

know somewhere around a 1.6 to 1.8 Peg

22:22

you have to be careful when you do these

22:24

these uh calculations as well not to use

22:26

2022 numbers you have to go current

22:29

current year out so 9 to 16 18 months

22:33

out is generally what I do with

22:34

evaluations because you're getting away

22:36

from some of the whole of the earnings

22:37

recession that you saw in 2022. so uh do

22:42

keep in mind for expectations we're

22:44

looking at 92 cents of adjusted EPS Gap

22:47

EPS we're looking at 61 cents Revenue

22:49

expectation we're looking at

22:52

6.52 billion dollars net income 2.27

22:56

Bill expected uh data center revenue is

22:58

expected to jump nicely so hopefully

23:02

that uh that stays that way uh again if

23:05

if you run some DCFS on these you're

23:08

you're really looking at growth already

23:09

priced in at least 25 already priced in

23:13

some are arguing depending on how you

23:15

run your DCF that you could be sitting

23:17

around 30 already priced in 35 price

23:20

damn uh so a lot of uh a lot of uh

23:25

richness already priced there we'll

23:26

leave it at that but again you know

23:28

they're going to have a great growth

23:29

story over the next decade and it's

23:31

possible that the growth that's been

23:33

forecast before this AI boom hasn't yet

23:36

really been updated to reflect how much

23:38

growth is truly going to come from AI

23:40

though I will say I think AI is going to

23:42

be a big part of what we hear about in

23:44

the earnings call today so that'll be

23:46

fascinating and so I'm super excited to

23:48

see what happens here at the same time

23:50

again AMD is is really focused on gaming

23:56

and yes they're going to focus on to

24:00

some extent uh servers and and AI for

24:04

Enterprise the the right focus in my

24:07

opinion is on

24:09

Ai and and these server chips and I

24:12

think Nvidia is just playing the game

24:13

correctly here they've got the edge with

24:15

good they've got the moat with Cuda uh

24:18

and uh and they just they're dominant in

24:20

the market so there's little you could

24:22

say about how Nvidia is not going to be

24:25

a massive beneficiary of AI they almost

24:28

certainly will be a massive beneficiary

24:30

of AI but uh the valuation today hey

24:33

let's just say you know I I hope uh I

24:36

hope they crash uh over the next few

24:38

earning Cycles so you could pick up

24:40

Nvidia cheaper maybe when the AI hype

24:42

cycle dies down a little bit uh am I

24:45

jumping up and down about buying in a

24:47

306 hey who knows you know maybe they

24:48

give Rosie guidance and they're up 10

24:50

and you're like ah should have bought

24:52

you know but the valuation is Rich and

24:55

usually the market does a good job of

24:56

eventually leveling out those Rich

24:59

valuations so uh if I had to say what

25:02

would be a little bit more of a fair

25:04

price right now uh for NVIDIA I'd

25:07

probably say you'd want to be closer to

25:11

and people are gonna get mad at me

25:12

saying it but probably 200 to 250 would

25:15

be more reasonable if you were under 200

25:18

like we were for a while when I

25:19

initiated my position in it around 150.

25:22

well then it was just juicy but duh I

25:24

mean it's doubled since then so uh

25:26

anyway uh remember if you want all of my

25:28

buy and sell alerts join the stocks and

25:30

psychology of money group link down

25:32

below if you want to join me on the AI

25:35

drop make sure you join before June 1st

25:38

for the how to make more money and get

25:40

sh9t done faster course members who are

25:43

already part of uh the income course or

25:45

getting that sector for free and you can

25:47

lock in your price as well before we

25:49

increase the price again when the

25:51

content actually comes out on June 1st

25:52

the other content's already in there but

25:54

the AI content is coming out on June 1st

25:55

uh so with that said very excited about

25:58

Nvidia long term short-term bearish uh

26:02

it doesn't mean I'm gonna dump all of my

26:04

uh Nvidia exposure beforehand though but

26:07

uh who knows maybe a little trim is in

26:10

store but yeah anyway that gives you

26:12

some insight on a video hopefully it's

26:14

useful for you even Beyond this next uh

26:16

earnings uh set that comes out and uh

26:20

yeah I wouldn't bet against them long

26:22

term for sure just like you should bet

26:24

against those courses on building your

26:25

wealth thing down below

26:27

see you later

26:30

[Music]

26:31

now I want you to know this when it

26:33

comes to AI time is what's going to make

26:36

you money and if you can prove that

26:39

value to an employer you'll always be

26:42

able to be employed so this is another

26:44

way of making sure that you don't get

26:46

replaced a quick follow-up on Nvidia

26:49

some people want me to look at the

26:50

balance sheet and the cash flow

26:52

statement fine fine I'll do that okay

26:55

here's the quick skinny on it they've

26:57

got about 13.2 billion dollars of cash

26:59

and marketable securities they've got a

27:02

short-term liabilities in in the Kevin

27:04

math I do Kevin math a certain way of

27:07

about five billies and maybe about 11.6

27:09

in long-term debt free cash flow you're

27:12

sitting at about 3.8 billion so you've

27:14

got free cash flow so the the debts

27:16

don't terribly much matter here they've

27:18

got plenty of operating room uh actually

27:20

pretty pretty good financials

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