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Holy Crap Nvidia... Full Earnings & Earnings Call Breakdown [Summary Q2 2023].

23m 28s3,969 words576 segmentsEnglish

FULL TRANSCRIPT

0:00

well holy smokes Nvidia knocked it out

0:03

of the park with earnings implying maybe

0:06

artificial intelligence isn't a flash in

0:08

the pan maybe just because people aren't

0:11

necessarily incorporating AI into

0:13

everything they're doing in their lives

0:15

yet doesn't necessarily mean that

0:18

companies especially big csps also known

0:21

as cloud service providers aren't

0:23

throwing every bit of coal they have

0:26

into the furnace of artificial

0:28

intelligence I think that is a sign that

0:31

AI has massive staying power even if

0:35

it's just starting to come to consumers

0:38

in other words even if consumers might

0:42

not wake up every day and say I want AI

0:44

the companies that know to use AI or the

0:48

cloud service providers and all the

0:50

software companies built on top of that

0:52

layer in other words your Amazon your

0:55

meta Facebook your Google and your

0:59

Microsoft or going to plow money into AI

1:03

data centers so that way other software

1:06

companies like snowflake or maybe

1:07

palantir or whatever can make more data

1:10

based and provide more data based

1:13

insights and conclusions to their

1:15

customers and therefore sell more

1:17

software whether that's in cyber

1:19

security business analytics whatever

1:22

point is you don't have to rely on

1:25

normal people walking down the street

1:27

going oh yeah it was GPT all day long

1:30

who cares oh what maybe 50 percent of

1:33

people have actually heard about it when

1:34

surveyed in the United States maybe 20

1:36

percent have actually tried it and maybe

1:38

half of those 20 actually end up using

1:41

it every single day so I bet the actual

1:43

AI use of people it's probably only

1:46

somewhere around like one in ten people

1:47

actually using AI practically on a daily

1:50

basis now but it's the cloud service

1:53

providers that know this is the next

1:55

Frontier why not advertise these things

1:57

that you told us

1:58

[Music]

1:59

we'll try a little advertising and see

2:01

how it goes congratulations man you have

2:03

done so much people love you people

2:05

looked up to you financial analyst and

2:08

YouTuber meet Kevin always great to get

2:10

your take

2:12

and this is what's motivated Jensen to

2:14

say which he said in the last earnings

2:16

call as well we made a video about how

2:18

this could happen and that this could

2:20

double down that the cloud service

2:21

providers are going to make the

2:22

investment and whether or not the

2:24

software actually works they're betting

2:26

on it and the chips will sell well

2:29

that's what's happening but what's worth

2:30

noting is Jensen mentioned these cloud

2:33

service providers right now are spending

2:35

about 250 billion dollars every single

2:38

year on Capital expenditures for data

2:42

centers and he expects a large portion

2:44

of that to shift over to generative Ai

2:48

and accelerate compute and this is

2:50

basically what Nvidia is providing chips

2:52

for and so that is what brings us to

2:55

this incredible beat and we're going to

2:57

go through the numbers but we'll also do

2:59

some brief projections here uh to get

3:02

into uh you know is is this all just

3:04

hype or is this real the reality is when

3:06

a company can offer a three billion

3:08

dollars in Buybacks in just the last

3:10

three months they they got some money

3:13

but it's not just three billion dollars

3:15

in BuyBacks over the last three months

3:17

or 1.2 billion dollars in debt paydown

3:20

is that they just authorized another 25

3:22

billion dollars in BuyBacks because

3:24

their cash flow is huge six billion

3:28

dollars of free cash flow in six months

3:31

that works out to 24 billion dollars of

3:34

free cash flow per year this is now a

3:39

trillion dollar Company by market cap

3:41

they're paying out close to a billion

3:43

dollars or around thirty two thousand

3:45

dollars per three months on average to

3:48

their employees in stock based

3:50

compensation it's also worth noting

3:52

they've got about 16 bill in cash but

3:55

again that's growing by about six

3:56

billion dollars every three months crazy

3:59

they've got total debt uh sitting at

4:02

about 20 billion dollars when you factor

4:03

out their leases which means they can

4:06

basically pay off all their debt and pay

4:08

out massive BuyBacks which is great that

4:11

is the 10 tax effective way to get

4:14

dividends basically right because with

4:16

BuyBacks you push the stock up people

4:18

can choose to sell the stock if they

4:19

want and choose to pay the taxes rather

4:21

than being forced to pay the taxes we

4:23

actually look at the numbers I want you

4:25

to pay specific attention to the r d

4:28

numbers and the growth numbers of these

4:31

expenses in fact if we jump on over I

4:34

want to say I wrote the notes down a

4:35

little bit uh whatever we'll just look

4:38

at them here the point is the r d

4:41

numbers aren't actually moving that much

4:45

based on their growth look at their

4:47

growth you 2xed Revenue growth over the

4:51

last three months year over year you

4:53

grew them 38 with the last six months

4:56

compared to the last six months prior

4:57

meaning a lot of that growth is

4:59

happening likely in the last three

5:01

months so you massively are exploding

5:04

revenues but what are you doing in terms

5:05

of r d and sales you're barely growing

5:08

them sales barely moved up I mean that's

5:11

about a five percent move in sales here

5:13

while they doubled their revenues on a

5:16

six month period thirty eight percent

5:17

and only a five percent move in sales

5:19

that's because these Nvidia chips are

5:22

set and systems are selling themselves

5:24

their r d folks they already developed

5:28

it now you just start working on Next

5:30

Generation so it's not like they're

5:31

having to blow up their r d expenses

5:33

they pop them up less than ten percent

5:35

here call it about 10 to make math just

5:38

simple rounded numbers here so you're

5:40

barely moving sales you're barely moving

5:42

r d but you're milking tendies your

5:47

margin is going up uh your margin

5:49

actually moved up in the last quarter uh

5:51

compared to your last six months from

5:52

about 68.1 percent gross profit to

5:55

seventy percent so you're actually

5:56

making more money as you're selling more

5:59

keep in mind they've got insane profit

6:02

these h100s are expected to have a

6:04

profit margin you know expected to cost

6:06

like three thousand dollars but because

6:08

there's such little Supply they're

6:10

basically selling them for like 25 to

6:12

thirty thousand dollars a potential

6:14

thousand percent markup and some folks

6:16

are like hey isn't that at some point

6:17

going to compress uh margins and the

6:21

idea here is not necessarily because if

6:24

a small portion of your Revenue right

6:25

now is h100s you're selling at a

6:27

thousand percent profit maybe eight

6:29

hundred percent margin whatever profit

6:31

margin whatever eventually As you move

6:33

to that being a larger percentage and

6:35

you get more in line with selling it for

6:37

maybe like a 2X profit right uh or a 70

6:40

gross profit that's okay because you're

6:43

growing the quantity you're able to

6:44

supply and in the earnings call we heard

6:47

hey they are ramping as much as they can

6:49

and working with their suppliers on

6:51

ramping to get these chips out the door

6:53

as fast as possible they said they're

6:55

happy with the suppliers but let's be

6:57

clear they said they expect to be

6:59

ramping through 2024. so we're still in

7:03

an 18-month ramp cycle for these chips

7:07

and actually being able to manufacture

7:09

enough of these chips they just can't

7:11

get enough of them out the door this is

7:14

important this is a very very big

7:16

indication uh that Nvidia has massive

7:19

massive pricing power and remember it's

7:23

not consumers buying this stuff it's the

7:26

Microsoft's The Meta the Amazon the

7:27

Google you know you could break down

7:29

chip data all day long the point is they

7:32

told us on their earnings call 50 of

7:35

their customers are cloud service

7:37

providers that's that's where 50 of

7:39

their data center revenue is coming from

7:40

cloud service providers after that

7:43

you're looking at about I think it was

7:44

uh let me see here I'll give you the

7:46

exact numbers to confirm so 50

7:49

was cloud service providers the next was

7:53

a consumer internet at about 25 and then

7:56

Enterprise it's worth noting Enterprise

7:59

was actually still towards the end it

8:01

was so it's not actually yet Enterprise

8:04

that's providing most of the revenue for

8:06

NVIDIA but then again most of the

8:08

Enterprise customers are going to go to

8:09

like a VMware and go look we don't

8:11

understand this whole AI stuff we're not

8:13

going to buy Nvidia chips we just want

8:14

to like like just give us the product

8:16

well Nvidia just partnered with VMware

8:19

to provide the part product so then

8:21

VMware and the other cloud service

8:23

providers can invest even more in chips

8:26

uh it's absolutely incredible so uh

8:29

anywho let's keep going here so uh this

8:32

is a big deal okay uh what else do we

8:35

see here so this is the income statement

8:37

we saw the balance sheet we saw the cash

8:39

flow statement worth noting how much of

8:41

a beat this was you beat data center

8:44

Revenue by 29 You're Expecting 7.98

8:49

billion dollars that actually came in at

8:51

10.32 billion uh Jensen says this is a

8:54

new era of cloud compute it's the same

8:57

thing he said last time except they're

8:58

reiterating their staying power saying

9:00

here look our Cuda software stack has a

9:04

moat you want to be with Nvidia and as a

9:07

result they're actually not having to

9:09

Market more that's the thing they're not

9:11

having to Market more everybody's going

9:13

to Nvidia without them having to

9:15

advertise more that just increases their

9:17

margin they're the you know hot

9:19

commodity on the Block and everybody

9:21

wants them right now that is pricing

9:23

power in the Nvidia h100s and the

9:25

associated uh you know HDX platforms and

9:27

otherwise they are the iPhone of

9:30

artificial intelligence and anybody

9:33

who's anybody in in software is is

9:36

making sure that they have the

9:37

Competitive Edge and so they're

9:39

investing and as a result they're mostly

9:41

buying Nvidia chips uh the fact that

9:44

gaming grew was a surprise I'm actually

9:47

I've got uh the RTX 40 80 and 90 in this

9:50

office right here in the studio I think

9:52

they're great chips and uh that segment

9:56

actually grew again beat expectations

9:59

and grew the segment that failed for

10:02

NVIDIA uh to beat expectations was

10:04

Automotive driven by weak Automotive

10:06

demand in China not a surprise since

10:09

China is really expected to be going

10:11

through uh probably a depression not

10:14

fantastic for a company like Tesla

10:17

selling cars in China but then again

10:19

Giga Shanghai is really turning into the

10:21

export market so manufacturing these

10:24

vehicles in China and then shipping them

10:25

around the world think about some of the

10:27

moats that Nvidia has Coda free

10:30

marketing and they're the ones everybody

10:32

talk talks about when you want the

10:35

latest and the best product it's kind of

10:38

interesting it's hard to find something

10:39

bad here especially when you've even got

10:41

companies like Oracle going all in for

10:44

these and Jensen and their CFO suggest

10:46

there is quote tremendous demand for

10:50

these products now who knows maybe

10:52

they're just you know saying it but

10:54

let's just say they just said it in the

10:57

last earnings call

10:58

and they proved it in this earnings

11:00

report so you're kind of on a trajectory

11:03

of believability here especially when

11:06

Facebook says when they apply AI based

11:09

recommendations they actually increase

11:11

the time people spend on Facebook or

11:13

Instagram by about 24 so generative Ai

11:17

and accelerate compute already affecting

11:19

how much time people are spending all

11:21

attached to things like Instagram or

11:24

YouTube or whatever

11:25

as a result leading Facebook to want to

11:28

spend even more money on on these front

11:31

of uh uh you know what do they call them

11:33

front of front of app uh a family of

11:36

apps foa family of apps uh software

11:38

suite so it's gonna be your facebook.com

11:40

your Instagram threads and otherwise and

11:43

Facebook I read through the earnings

11:45

report this morning with course members

11:46

and they say they spend 80 percent of

11:50

their cap X on their apps not on reality

11:54

Labs reality Labs is only 20 that means

11:57

they're spending on data center AI for

12:00

lattice advertising data centers that's

12:02

where the money's going and they're

12:04

calling up Nvidia to buy chips no doubt

12:07

uh Shutterstock involved with them as

12:09

well for generative AI blah blah blah

12:11

the US is the strongest sector for uh

12:14

this growth although uh China uh China's

12:17

AI demand also sitting about 20 to 25

12:19

percent so China Automotive suffering

12:22

but China AI doesn't want to stay behind

12:25

this is because we might be in not an

12:28

Enterprise recession but a consumer

12:30

recession where the consumer suffers or

12:33

many consumers suffer and can't spend

12:35

that much on places like Target or

12:37

cheesecake or Walmart or Nike or under

12:39

armor or Lulu or whatever

12:42

but the Enterprise companies Google and

12:45

Microsoft and Amazon and apple these are

12:47

the companies that have money to spend

12:48

and they spend billions of dollars

12:51

they're not feeling the recession the

12:53

people are feeling a recession but not

12:55

the big companies and so who are the big

12:57

companies buying from Nvidia whether

13:00

it's for those Cloud compute uh products

13:02

whether it's for infiniband which is

13:04

basically their version of ethernet for

13:06

data centers think about it as cabling

13:08

infrastructure Network switches uh you

13:11

know server racks it's actually

13:12

connecting all of the hardware together

13:15

using infiniband

13:18

Jensen mentioned founder and CEO of

13:20

Nvidia mentioned numerous times in the

13:22

last earnings called reiterated again

13:23

and this time that infiniband basically

13:25

sells itself because once you apply it

13:28

your cost of running a Data Center

13:30

plummets and we're sitting at a trillion

13:32

dollar Legacy data center uh environment

13:36

and we are just at the beginning of a

13:38

transition to Cloud compute uh via

13:41

accelerated and generative Ai and so

13:44

this is this is not a matter of being a

13:47

consumer flash in the pan or not this is

13:49

an Enterprise movement into generative

13:53

Ai and cloudtribute as a result all of

13:57

the cloud service providers the csps are

13:59

like we better be ready for all that

14:02

demand if we build it they will come so

14:04

to speak and because if we don't build

14:06

it the other CSP will so in other words

14:09

like Microsoft's like well if we don't

14:11

build a data center Amazon will do it

14:12

and they'll take our customers right so

14:14

they the same thing with Google and

14:15

otherwise this is actually very

14:17

interesting uh regarding the

14:19

sustainability of demand there was a

14:21

question about this and they they spoke

14:23

about on their earnings call about uh

14:25

they're going to be ramping well into

14:26

next year and obviously they need a lot

14:28

of parts but they see uh this this as a

14:32

long-term industry and sustainably

14:35

long-term uh based transition a lot of

14:40

growth of various different verticals of

14:41

the business talked a lot about some of

14:43

the individual chips but they think they

14:45

have excellent visibility into this year

14:47

and next and they're basically saying

14:49

demand ain't going away for the next two

14:51

years

14:52

that's visibility they have for the next

14:53

two years keep in mind I don't think the

14:56

big customers the csps are fickle like

15:00

consumers where they're like hey we want

15:02

all the AI stuff and then they go in and

15:04

cancel orders I think the you know

15:07

Google or whatever the Googles of the

15:09

world are kind of like please Microsoft

15:11

cancel so we can get more you know this

15:14

is literally like hell no why are you

15:16

canceling because then you're just gonna

15:17

take it it's kind of brilliant when you

15:19

think about it from an Enterprise point

15:21

of view Nvidia has just got to be on

15:22

Cloud9 right now and this is great for

15:24

the arm IPO though I think the arm IPO

15:28

will create a buy the dip opportunity

15:29

for NVIDIA because people shift some

15:31

money over there I think that'll be a

15:33

mistake I think the only reason you want

15:34

to shift away from Nvidia is if you want

15:36

to diversify into like real estate or

15:38

something like that but that's just to

15:39

you know minimize swings in your

15:41

portfolios uh but other than that this

15:42

this is absolutely fantastic now what

15:45

else did we learn well we learned that

15:47

uh Nvidia is is is expecting 250 million

15:51

dollars in data center spend per year

15:53

okay so uh what is actually 250 billion

15:56

dollars in data center spend per year

15:57

let me correct myself there uh Nvidia in

16:00

my opinion uh well first of all nvidia's

16:02

total revenue uh right now is somewhere

16:05

around 40 billion for the Year let me

16:07

see the current estimate is 44 billion

16:09

dollars for the year

16:10

data center alone I would not be

16:13

surprised if Nvidia could end up polling

16:15

in the future 100 million out of a full

16:18

250 sorry 100 billion uh of data center

16:22

spend that'd be about 40 but let's go a

16:25

little more generic and let's go a

16:26

little more

16:27

conservative let's say and Go with 25

16:31

of a quarter billion dollars uh a

16:35

quarter of a trillion dollars I wrote

16:37

this down wrong that's why I keep saying

16:39

it just change that to a b really quick

16:40

there we go

16:41

if Nvidia captures just 25

16:44

of that 250 billion dollar per year

16:48

spend that's 62.5 billion dollars of

16:52

data center Revenue

16:54

right now the data center revenue is a

16:58

big portion of nvidia's income but that

17:01

could represent over the next uh you

17:03

know year to two years somewhere around

17:06

a 50 to 75 to 50 percent growth rate for

17:11

their Top Line earnings and I think

17:13

you'll probably end up averaging over

17:15

the next few years as they continue to

17:17

introduce Next Generation AI Hardware

17:20

like the Next Generation h100 you're

17:24

probably looking at a growth rate for

17:26

this company that'll end up averaging

17:28

over the next four years closer to 35

17:31

percent Wall Street right now is only

17:33

pricing in 25 growth so I'm not here to

17:38

say oh it's going to be 100 or 50 growth

17:40

every single year for the next four

17:41

years but if you price in just to show

17:44

you the valuation of this if you price

17:46

Nvidia at a 35 growth rate take their

17:49

stock price at say 510

17:51

divided by call it 9 dollars and fifty

17:54

cents of earnings to get you to the end

17:56

of this year their end of this year is

17:58

January of 2024. that puts you at about

18:01

53.6 times earnings now what we're going

18:03

to do is divide that to get a PEG ratio

18:06

by 35 percent

18:07

you're looking at

18:10

a 1.5 Peg that means Nvidia is actually

18:14

trading closer in valuation right now to

18:18

end phase than Tesla Tesla is trading at

18:21

a peg of about 2.3 sitting at about a 69

18:25

p e call it 30 growth rate on earnings

18:28

that's about a 2.3 Peg that actually

18:31

makes nvidia's valuation extremely

18:33

attractive now let's go back to just

18:35

being even more conservative say their

18:37

EPS only grows at 25 the way Wall Street

18:40

expects over the next four years on

18:42

average that puts them at a 2.1 Peg

18:45

still cheaper than Tesla now some people

18:49

are wondering is this potentially

18:51

inflationary

18:52

no this is actually deflationary this is

18:57

why companies are replacing more back

19:00

office jobs because they can get more

19:02

done with artificial intelligence they

19:04

can get more done with Cloud compute and

19:06

they need less people in back offices so

19:09

this is a deflationary force even though

19:11

it's more spend on the Next Generation

19:13

technology it's really incredible so

19:16

Nvidia is phenomenally positioned here

19:19

and just with some very generic math the

19:23

numbers for NVIDIA can be absolutely

19:25

phenomenal here again understand data

19:29

center Revenue right now sitting at 10.3

19:32

billion uh Rec you know total revenue at

19:34

13.5 so it's obviously very clear that

19:38

data center revenue is already a bulk of

19:40

their revenue it already makes up about

19:42

76 of their revenue but if if we get to

19:46

25 of that 250 billion dollar market in

19:51

the future that's 60 2.5 and I expect

19:53

that'll grow over time as well and that

19:57

just represents 76 percent because

19:59

you've got gaming and automotive and

20:01

these other segments as well nvidia's

20:03

Revenue could be closer to 82 billion

20:05

dollars very quickly Wall Street does

20:08

not expect that nvidia's revenue is

20:10

going to Broach 80 billion dollars until

20:13

2026. it'll actually probably happen in

20:16

2024 or 5. so I think this growth is

20:19

going to happen a lot faster and sooner

20:21

than expected and it'll be growth for

20:23

asml it'll be growth for TSM it'll be

20:26

growth for Intel and it'll be growth for

20:28

NVIDIA because this transition is not

20:31

just going to be a one-time transition

20:32

it'll be all right we got the iPhone 1

20:35

in now

20:37

who's got the iPhone 2 when video is

20:39

already working on the iPhone 2 well the

20:41

iPhone 3G is what the iPhone 2 was

20:43

called but you know what I mean anyway

20:44

this is incredibly bullish uh now we

20:47

have to sort of temper expectations here

20:49

because there is this potential for the

20:51

stock market to try to price in too much

20:54

of that growth right and we are still in

20:57

a very uncertain macro environment uh

21:00

and the level of software revenues are

21:03

still questionable from companies like

21:06

you know soft uh snowflake Microsoft and

21:10

otherwise but we did also just have

21:12

snowflake revenues and Autodesk revenues

21:14

and guess what both of them beat

21:17

so kind of impressive I have to say

21:19

there's little to be upset about about

21:21

this what I would do uh and this is not

21:24

personalized Financial advice for you

21:26

because I don't know your personalized

21:27

financial situation but I like the idea

21:30

of and this is what I'm personally going

21:32

to do I like the idea of allocating uh

21:36

money to stuff like uh uh Nvidia TSM

21:40

asml uh Intel Tesla but I'm gonna put in

21:45

that basket

21:46

solar so that way if these these you

21:51

know uh uh pick and shovel sellers do

21:54

well and solar keeps sucking that's okay

21:57

my portfolio is growing but when solar

22:00

booms and the chips start going like

22:03

okay like we've had our run

22:05

that's when I expect the portfolio just

22:07

keeps rocketing and I think one of the

22:09

nice ways to do that is is through you

22:11

know an ETF that that focuses on on a

22:14

strategy like that especially since you

22:15

can take advantage of some of the tax

22:17

benefits that are associated with

22:18

investing in ETFs where ETFs can

22:21

rebalance uh taxable gains for example

22:24

uh about uh six weeks or so ago the fund

22:29

that I manage we had somewhere around a

22:32

four million dollars in gains and we

22:35

traded out of a certain stock into a

22:38

different allocation and we saved

22:41

investors somewhere between one and a

22:43

half to two million dollars in taxes on

22:45

that because they were short-term gains

22:47

but because of the way ETFs are

22:50

structured if you set them up a certain

22:51

way you could actually reallocate

22:53

without paying taxes uh the ETA you know

22:57

obviously assuming you have gains and

22:59

stuff like that talk to your CPA right

23:00

I'm just trying to educate on how ETF

23:02

structures work so

23:04

um

23:05

yeah ETF structure very very interesting

23:07

Nvidia very very interesting and I would

23:10

balance my enthusiasm for chips and AI

23:14

especially cloud with solar mate anyway

23:20

thank you so very much for watching

23:22

really appreciate you all and we'll see

23:23

you in the next one goodbye

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